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1. Metabolome-wide Mendelian randomization for age at menarche and age at natural menopause

Author: Mojgan Yazdanpanah, Nahid Yazdanpanah, Isabel Gamache, Ken Ong, John R. B. Perry, and Despoina Manousaki
Subjects: Metabolites, Menarche, Menopause, Mendelian randomization, ALSPAC, Medicine, Genetics, QH426-470
Abstract: Abstract Background The role of metabolism in the variation of age at menarche (AAM) and age at natural menopause (ANM) in the female population is not entirely known. We aimed to investigate the causal role of circulating metabolites in AAM and ANM using Mendelian randomization (MR). Methods We combined MR with genetic colocalization to investigate potential causal associations between 658 metabolites and AAM and between 684 metabolites and ANM. We extracted genetic instruments for our exposures from four genome-wide association studies (GWAS) on circulating metabolites and queried the effects of these variants on the outcomes in two large GWAS from the ReproGen consortium. Additionally, we assessed the mediating role of the body mass index (BMI) in these associations, identified metabolic pathways implicated in AAM and ANM, and sought validation for selected metabolites in the Avon Longitudinal Study of Parents and Children (ALSPAC). Results Our analysis identified 10 candidate metabolites for AAM, but none of them colocalized with AAM. For ANM, 76 metabolites were prioritized (FDR-adjusted MR P-value ≤ 0.05), with 17 colocalizing, primarily in the glycerophosphocholines class, including the omega-3 fatty acid and phosphatidylcholine (PC) categories. Pathway analyses and validation in ALSPAC mothers also highlighted the role of omega and polyunsaturated fatty acids levels in delaying age at menopause. Conclusions Our study suggests that metabolites from the glycerophosphocholine and fatty acid families play a causal role in the timing of both menarche and menopause. This underscores the significance of specific metabolic pathways in the biology of female reproductive longevity.
Published: 2024
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2. MC3R links nutritional state to childhood growth and the timing of puberty

Author: Anthony P. Coll, MN Bedenbaugh, DT Porter, David H. Rowitch, John R. B. Perry, D A van Heel, X Dai, Rachel N. Lippert, Debra Rimmington, A. L. Gonçalves Soares, Felix R. Day, Duckett K, Patrick Sweeney, Zhaoyang Xu, Ahsan Nabi Khan, Hilary C. Martin, John Tadross, Roger D. Cone, Brian Y.H. Lam, Klj Ellacott, Richard B. Simerly, J Rosmaninho-Salgado, Alice E. Williamson, Gkc Dowsett, Sarah Finer, Irene Cimino, Giles S.H. Yeo, Audrey Melvin, Kara Rainbow, Claudia Langenberg, Stephen O'Rahilly, Nicholas J. Wareham, Katherine Ridley, Richard C. Trembath, Staffan Holmqvist, Sophie Buller, N J Timpson, Kaitlin H Wade, Ken K. Ong, and Elena G. Bochukova
Subjects: Male, medicine.medical_specialty, Time Factors, Calorie, Adolescent, media_common.quotation_subject, Hypothalamus, Nutritional Status, Estrous Cycle, Nutrient sensing, Biology, Weight Gain, Article, Mice, Child Development, Central melanocortin system, Internal medicine, medicine, Animals, Humans, Sexual maturity, Obesity, Sexual Maturation, Insulin-Like Growth Factor I, Child, media_common, Aged, 80 and over, Menarche, Multidisciplinary, Homozygote, Puberty, Appetite, Melanocortins, Melanocortin 4 receptor, Phenotype, medicine.anatomical_structure, Endocrinology, Lean body mass, Female, Melanocortin, Receptor, Melanocortin, Type 3
Abstract: The state of somatic energy stores in metazoans is communicated to the brain, which regulates key aspects of behaviour, growth, nutrient partitioning and development1. The central melanocortin system acts through melanocortin 4 receptor (MC4R) to control appetite, food intake and energy expenditure2. Here we present evidence that MC3R regulates the timing of sexual maturation, the rate of linear growth and the accrual of lean mass, which are all energy-sensitive processes. We found that humans who carry loss-of-function mutations in MC3R, including a rare homozygote individual, have a later onset of puberty. Consistent with previous findings in mice, they also had reduced linear growth, lean mass and circulating levels of IGF1. Mice lacking Mc3r had delayed sexual maturation and an insensitivity of reproductive cycle length to nutritional perturbation. The expression of Mc3r is enriched in hypothalamic neurons that control reproduction and growth, and expression increases during postnatal development in a manner that is consistent with a role in the regulation of sexual maturation. These findings suggest a bifurcating model of nutrient sensing by the central melanocortin pathway with signalling through MC4R controlling the acquisition and retention of calories, whereas signalling through MC3R primarily regulates the disposition of calories into growth, lean mass and the timing of sexual maturation. MC3R deficiency is associated with a delay in the onset of puberty, and a reduction in growth and lean mass.
Published: 2021

3. Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomisation Analysis.

Author: Luca A Lotta, Robert A Scott, Stephen J Sharp, Stephen Burgess, Jian'an Luan, Therese Tillin, Amand F Schmidt, Fumiaki Imamura, Isobel D Stewart, John R B Perry, Luke Marney, Albert Koulman, Edward D Karoly, Nita G Forouhi, Rasmus J O Sjögren, Erik Näslund, Juleen R Zierath, Anna Krook, David B Savage, Julian L Griffin, Nishi Chaturvedi, Aroon D Hingorani, Kay-Tee Khaw, Inês Barroso, Mark I McCarthy, Stephen O'Rahilly, Nicholas J Wareham, and Claudia Langenberg
Subjects: Medicine
Abstract: BackgroundHigher circulating levels of the branched-chain amino acids (BCAAs; i.e., isoleucine, leucine, and valine) are strongly associated with higher type 2 diabetes risk, but it is not known whether this association is causal. We undertook large-scale human genetic analyses to address this question.Methods and findingsGenome-wide studies of BCAA levels in 16,596 individuals revealed five genomic regions associated at genome-wide levels of significance (p < 5 × 10-8). The strongest signal was 21 kb upstream of the PPM1K gene (beta in standard deviations [SDs] of leucine per allele = 0.08, p = 3.9 × 10-25), encoding an activator of the mitochondrial branched-chain alpha-ketoacid dehydrogenase (BCKD) responsible for the rate-limiting step in BCAA catabolism. In another analysis, in up to 47,877 cases of type 2 diabetes and 267,694 controls, a genetically predicted difference of 1 SD in amino acid level was associated with an odds ratio for type 2 diabetes of 1.44 (95% CI 1.26-1.65, p = 9.5 × 10-8) for isoleucine, 1.85 (95% CI 1.41-2.42, p = 7.3 × 10-6) for leucine, and 1.54 (95% CI 1.28-1.84, p = 4.2 × 10-6) for valine. Estimates were highly consistent with those from prospective observational studies of the association between BCAA levels and incident type 2 diabetes in a meta-analysis of 1,992 cases and 4,319 non-cases. Metabolome-wide association analyses of BCAA-raising alleles revealed high specificity to the BCAA pathway and an accumulation of metabolites upstream of branched-chain alpha-ketoacid oxidation, consistent with reduced BCKD activity. Limitations of this study are that, while the association of genetic variants appeared highly specific, the possibility of pleiotropic associations cannot be entirely excluded. Similar to other complex phenotypes, genetic scores used in the study captured a limited proportion of the heritability in BCAA levels. Therefore, it is possible that only some of the mechanisms that increase BCAA levels or affect BCAA metabolism are implicated in type 2 diabetes.ConclusionsEvidence from this large-scale human genetic and metabolomic study is consistent with a causal role of BCAA metabolism in the aetiology of type 2 diabetes.
Published: 2016
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4. Identification of a unique epigenetic profile in women with diminished ovarian reserve

Author: Juan Castillo-Fernandez, John R. B. Perry, Andrew Cho Chan, Gavin Kelsey, Eva Hoffmann, Nina la Cour Freiesleben, Sven O. Skouby, Alexia Cardona, Anne Zedeler, M.L. Grøndahl, Kristina W. Olsen, and Mona Bungum
Subjects: Adult, Anti-Mullerian Hormone, 0301 basic medicine, Premature aging, media_common.quotation_subject, Physiology, Fertility, Epigenesis, Genetic, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Ovarian Follicle, Epigenetic Profile, Humans, Medicine, Prospective Studies, Epigenetics, Ovarian Reserve, Ovarian reserve, media_common, 030219 obstetrics & reproductive medicine, business.industry, Gene Expression Profiling, Obstetrics and Gynecology, Methylation, DNA Methylation, 030104 developmental biology, Reproductive Medicine, Cohort, DNA methylation, Female, business, Infertility, Female
Abstract: To investigate whether epigenetic profiles of mural granulosa cells (MGC) and leukocytes from women with diminished ovarian reserve (DOR) differ from those of women with normal or high ovarian reserve.Prospectively collected material from a multicenter cohort of women undergoing fertility treatment.Private and university-based facilities for clinical services and research.One hundred and nineteen women of various ages and ovarian reserve status (antimüllerian hormone level) who provided blood samples and MGC.None.Measures of epigenetic aging rates from whole-genome methylation array data: DNA methylation variability, age acceleration, DNA methylation telomere length estimator (DNAmTL), and accumulation of epimutations.Comparison of DOR or high ovarian reserve samples to controls (normal ovarian reserve) showed differential methylation variability between DOR and normal samples at 4,199 CpGs in MGC, and 447 between high and normal (false-discovery rate0.05). Variable sites in MGC from DOR were enriched in regions marked with the repressive histone modification H3K27me3, and also included genes involved in folliculogenesis, such as insulin growth factor 2 (IGF2) and antimüllerian hormone (AMH). Regardless of ovarian reserve, very few signals were detected in leukocytes, and no overlaps with those in MGC were found. Furthermore, we found a higher number of epimutations in MGC from women with DOR (Kruskal-Wallis test, difference in mean = 3,485).The somatic cells of human ovarian follicles have a distinctive epigenetic profile in women with DOR. A high frequency of epimutations suggests premature aging. Ovarian reserve status was not reflected in the leukocyte epigenetic profile.
Published: 2021

5. Serum Estradiol and 20 Site-Specific Cancers in Women: Mendelian Randomization Study

Author: Mathew Vithayathil, Susanna C. Larsson, Siddhartha Kar, Douglas F. Easton, Stephen Burgess, Amy M. Mason, John R. B. Perry, Paul Carter, Larsson, Susanna C [0000-0003-0118-0341], Burgess, Stephen [0000-0001-5365-8760], and Apollo - University of Cambridge Repository
Subjects: Adult, Oncology, medicine.medical_specialty, medicine.drug_class, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Estrogen receptor, Breast Neoplasms, Polymorphism, Single Nucleotide, Biochemistry, Aromatase, Endocrinology, Breast cancer, Internal medicine, estradiol, Mendelian randomization, medicine, Humans, cancer, Genetic Predisposition to Disease, Online Only Articles, Stomach cancer, Clinical Research Articles, Aged, Cancer och onkologi, Estradiol, business.industry, Endometrial cancer, Biochemistry (medical), Cancer, Mendelian Randomization Analysis, Middle Aged, medicine.disease, Endometrial Neoplasms, Estrogen, Cancer and Oncology, Female, Ovarian cancer, business, AcademicSubjects/MED00250, estrogens
Abstract: ContextThe causal role of endogenous estradiol in cancers other than breast and endometrial cancer remains unclear.ObjectiveThis Mendelian randomization study assessed the causal associations of endogenous 17β-estradiol (E2), the most potent estrogen, with cancer risk in women.MethodsAs primary genetic instrument, we used a genetic variant in the CYP19A1 gene that is strongly associated with serum E2 levels. Summary statistics genetic data for the association of the E2 variant with breast, endometrial, and ovarian cancer were obtained from large-scale consortia. We additionally estimated the associations of the E2 variant with any and 20 site-specific cancers in 198 825 women of European descent in UK Biobank. Odds ratios (OR) of cancer per 0.01 unit increase in log-transformed serum E2 levels in pmol/L were estimated using the Wald ratio.ResultsGenetic predisposition to higher serum E2 levels was associated with increased risk of estrogen receptor (ER)-positive breast cancer (OR 1.02; 95% CI, 1.01-1.03; P = 2.5 × 10−3), endometrial cancer overall (OR 1.09; 95% CI, 1.06-1.11; P = 7.3 × 10−13), and endometrial cancer of the endometrioid histology subtype (OR 1.10; 95% CI, 1.07-1.13; P = 2.1 × 10−11). There were suggestive associations with breast cancer overall (OR 1.01; 95% CI, 1.00-1.02; P = 0.02), ovarian cancer of the endometrioid subtype (OR 1.05; 95% CI, 1.01-1.10; P = 0.02), and stomach cancer (OR 1.12; 95% CI, 1.00-1.26; P = 0.05), but no significant association with other cancers.ConclusionThis study supports a role of E2 in the development of ER-positive breast cancer and endometrioid endometrial cancer but found no strong association with other cancers in women.
Published: 2022

6. Genetic predisposition to mosaic Y chromosome loss in blood

Author: Ragnar P. Kristjansson, Steven A. McCarroll, Florian Zink, Malcolm G. Dunlop, Nicholas J. Wareham, Yoichiro Kamatani, Daniel F. Gudbjartsson, Giulio Genovese, Rong Li, Stephen J. Chanock, Unnur Thorsteinsdottir, Ben Kinnersley, Kari Stefansson, Philip J. Law, Martin Ingelsson, Lars Forsberg, Joe Dennis, Richard S. Houlston, Jonatan Halvardson, Nicola D. Kerrison, Chikashi Terao, Douglas F. Easton, Anna Murray, Yunxuan Jiang, Jan P. Dumanski, Chey Loveday, Steve P Jackson, Robert A. Scott, Edyta Rychlicka-Buniowska, Ian Tomlinson, Daniel J Wright, Deborah J. Thompson, Victoria A Fisher, Yoshinori Murakami, John R. B. Perry, Paweł Olszewski, Felix R. Day, Eva Hoffmann, Hanna Davies, Po-Ru Loh, Adam Auton, Siddhartha Kar, Behrooz Torabi Moghadam, Clare Turnbull, Ken K. Ong, Marcus Danielsson, Jacob C. Ulirsch, Jonas Mattisson, Patrick Sulem, Olafur B. Davidsson, Mitchell J. Machiela, Internal Medicine, APH - Methodology, APH - Mental Health, Biological Psychology, APH - Personalized Medicine, and APH - Health Behaviors & Chronic Diseases
Subjects: Male, 0301 basic medicine, Haematopoietic system, Genome-wide association study, Chromosomes, Human, Y/genetics, Genome-wide association studies, 0302 clinical medicine, Y Chromosome, Neoplasms, Databases, Genetic, Leukocytes, Cancer genomics, Genetics, Multidisciplinary, Mosaicism, Genetic Predisposition to Disease/genetics, Leukocytes/pathology, Middle Aged, Neoplasms/genetics, 3. Good health, 030220 oncology & carcinogenesis, Medical genetics, Female, Chromosome Deletion, Human, Genetic Markers, Adult, Genomic instability, medicine.medical_specialty, Cell division, Y/genetics, Biology, Y chromosome, Article, Genomic Instability, Chromosomes, Databases, 03 medical and health sciences, Genetic, medicine, Genetic predisposition, Humans, Genetic Predisposition to Disease, Gene, Aged, Genetic Markers/genetics, Chromosomes, Human, Y, Computational Biology, Cancer, Chromosome, medicine.disease, United Kingdom, 030104 developmental biology, Genetic marker, Genomic Instability/genetics
Abstract: Mosaic loss of chromosome Y (LOY) in circulating white blood cells is the most common form of clonal mosaicism1–5, yet our knowledge of the causes and consequences of this is limited. Here, using a computational approach, we estimate that 20% of the male population represented in the UK Biobank study (n = 205,011) has detectable LOY. We identify 156 autosomal genetic determinants of LOY, which we replicate in 757,114 men of European and Japanese ancestry. These loci highlight genes that are involved in cell-cycle regulation and cancer susceptibility, as well as somatic drivers of tumour growth and targets of cancer therapy. We demonstrate that genetic susceptibility to LOY is associated with non-haematological effects on health in both men and women, which supports the hypothesis that clonal haematopoiesis is a biomarker of genomic instability in other tissues. Single-cell RNA sequencing identifies dysregulated expression of autosomal genes in leukocytes with LOY and provides insights into why clonal expansion of these cells may occur. Collectively, these data highlight the value of studying clonal mosaicism to uncover fundamental mechanisms that underlie cancer and other ageing-related diseases. A genome-wide association study of mosaic loss of chromosome Y (LOY) in UK Biobank participants identifies 156 genetic determinants of LOY, showing that LOY is associated with cancer and non-haematological health outcomes.
Published: 2019

7. Genetic insights into biological mechanisms governing human ovarian ageing

Author: Unnur Styrkarsdottir, Lynda M. Rose, Rehannah Borup, Anne B. Newman, Georgia Chenevix-Trench, Chikashi Terao, Jeremy A. Daniel, Christa Meisinger, Albert V. Smith, Emil Peter Thrane Hertz, Raymond Noordam, Wei He, Jennifer A. Smith, Mikael Eriksson, Konstantin Strauch, Daniel I. Chasman, Nicholas J. Timpson, Melissa A. Troester, Claudia Langenberg, Montserrat Garcia-Closas, Mohammad Arfan Ikram, Sara Lindström, Gad Rennert, Pascal Guénel, Kristina W. Olsen, Pierre Fontanillas, Ozren Polasek, Daniel F. Gudbjartsson, Frank B. Hu, Archie Campbell, Celine M. Vachon, Sheila Ulivi, Robin N Beaumont, Robert Karlsson, Lenore J. Launer, Renée de Mutsert, Annette Peters, David Schlessinger, Stefania Bandinelli, Rico Rueedi, Joop S.E. Laven, Pascal Timshel, Joanne M. Murabito, Kuang Lin, Jazib Hussain, Dennis O. Mook-Kanamori, Manjeet K. Bolla, Catherine E. Aiken, Javier Martin Gonzalez, Simon S. Cross, Immaculata De Vivo, Paul M. Ridker, Christopher A. Haiman, Gerardo Heiss, Jessica Tyrrell, Paul R. H. J. Timmers, Hironori Abe, Mike A. Nalls, Luigi Ferrucci, Natalia Perjakova, Jouke J. Hottenga, Robin G. Walters, Reedik Mägi, Niclas Håkansson, Miriam Dwek, Barbara McKnight, Sandra Turon, Stasa Stankovic, Linda Broer, Stephen J. Chanock, Martina La Bianca, Jenny Chang-Claude, Loic Le Marchand, Hamdi Mbarek, Doris Stöckl, Andrew F. Olshan, Graham G. Giles, James F. Wilson, Micaella Joaquim, Amruta Shrikhande, Eva Hoffmann, Stefania Benonisdottir, Ana Martínez-Marchal, Anthony J. Swerdlow, David Karasik, Nicholas J. Wareham, Peter A. Fasching, Jane L. Tarry-Adkins, Charles Kooperberg, Peter Vollenweider, Douglas F. Easton, Paula Aguilera, Jessica D. Faul, Patrik K. E. Magnusson, Emmanouil Saloustros, Alpa V. Patel, Ellen W. Demerath, Qin Wang, Aditya Sankar, Christopher G. Scott, Iffat Rahman, Sharon L.R. Kardia, Peter K. Joshi, Caterina Barbieri, Claus Yding Andersen, Tõnu Esko, Massimo Mezzavilla, Nicholas G. Martin, Rebecca D. Jackson, Alison D. Murray, Marina Ciullo, Nicholas Bowker, Anna Murray, Patrick Deelen, Zoltán Kutalik, Alicja Wolk, Manuela Gago-Dominguez, Eleonora Porcu, Laura Crisponi, Michela Traglia, Katharina E. Schraut, Antonietta Robino, Chunyan He, Bruce H. R. Wolffenbuttel, Henry Völzke, Daniela Ruggiero, John R. B. Perry, Lude Franke, Igor Rudan, Angela Cox, Unnur Þorsteinsdottir, Christian Gieger, David R. Weir, Jodie N. Painter, Martha S. Linet, Massimo Mangino, Melissa C. Southey, Petr Solc, Tim D. Spector, Christiana Kartsonaki, Momoko Horikoshi, Meir J. Stampfer, Eulalia Catamo, Mònica Ferrer-Roda, Ko Willems van Dijk, Daniela Toniolo, Caroline Hayward, Lili Milani, Chloé Sarnowski, Jian'an Luan, Behrooz Z. Alizadeh, Jenny A. Visser, Stig E. Bojesen, Genevieve Lachance, Ulrike Peters, Antonella Mulas, John J. Spinelli, Elnaz Naderi, Andrew R. Wood, Paul D.P. Pharoah, Elinor J. Sawyer, Annique Claringbould, Saleh Shekari, David G. Hunter, Marie Louise Grøndahl, Vilmundur Gudnason, Nora Franceschini, Dale P. Sandler, Dale R. Nyholt, Jacques E. Rossouw, Amber N. Wilcox, Thomas U. Ahearn, Hedy S. Rennert, Olivier B. Bakker, Jingmei Li, Francesco Cucca, Eric Boerwinkle, Matthias W. Beckmann, Cristina Menni, Minouk J. Schoemaker, Esther M. John, Tune H. Pers, Andrés J. López-Contreras, Tanguy Corre, Jonathan Marten, Alice M. Arnold, N. Charlotte Onland-Moret, Lucie Knoblochova, Anna Pujol, Kathryn L. Lunetta, Marjanka K. Schmidt, Teresa Nutile, Serena Sanna, Gonneke Willemsen, Roger L. Milne, Kristan J. Aronson, Frits R. Rosendaal, Murielle Bochud, Ken K. Ong, Susan M. Ring, Nancy L. Pedersen, Blair H. Smith, Ivana Kolcic, Annelie Augustinsson, Jose E. Castelao, Alexander Teumer, Felix R. Day, Sven Bergmann, Timothy M. Frayling, Lauren R. Teras, George Davey Smith, Thomas Meitinger, Alison M. Dunning, Ignasi Roig, Dorret I. Boomsma, Harald Grallert, Toshiko Tanaka, Katherine S. Ruth, Julie E. Buring, Marek Zygmunt, Uwe Völker, Irene L. Andrulis, Håkan Olsson, Harry Campbell, Cari M. Kitahara, Annika Lindblom, Yvonne T. van der Schouw, Cinzia Sala, Debbie A Lawlor, Joe Dennis, Yongmei Liu, Yan Huang, Stephen Burgess, Brumat Marco, Veronique Vitart, Kari Stefansson, Susan E. Ozanne, Kamila Czene, Simin Liu, John L. Hopper, Joyce B. J. van Meurs, Satoshi H. Namekawa, Miya Kudo Høffding, Fergus J. Couch, Ajuna Azad, Eco J. C. de Geus, Liming Li, Grant W. Montgomery, Peter Kraft, André G. Uitterlinden, Arto Mannermaa, Heiko Becher, Allison W. Kurian, Vallari Shukla, Zhengming Chen, Per Hall, Jennifer A. Brody, Rossella Sorice, Wei Zhao, Andres Metspalu, Sarah E. Medland, Tricia Lindstrom, Clarice R. Weinberg, Bruce M. Psaty, Thérèse Truong, Anna Marie Mulligan, Deborah J. Thompson, Patrick Sulem, Internal Medicine, Epidemiology, Obstetrics & Gynecology, Hoffmann, Eva R [0000-0002-2588-0652], Murray, Anna [0000-0002-2351-2522], Roig, Ignasi [0000-0003-0313-3581], Perry, John RB [0000-0001-6483-3771], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Biological Psychology, APH - Mental Health, APH - Methodology, APH - Personalized Medicine, and APH - Health Behaviors & Chronic Diseases
Subjects: Gerontology, Aging, Far East, Endocrinology, Diabetes and Metabolism, Menopause, Premature, Genome-wide association study, VARIANTS, Primary Ovarian Insufficiency, Inbred C57BL, Bioinformatics, DISEASE, Healthy Aging, genetics of ovarian aging, Fragile X Mental Retardation Protein, Mice, Endocrinology, Medicine, EARLY MENOPAUSE, media_common, RISK, Multidisciplinary, Asia, Eastern, Reproduction, Longevity, Middle Aged, Europe, MENDELIAN RANDOMIZATION, Medical genetics, Female, ICEP, Menopause, Adult, Alleles, Animals, Bone and Bones, Checkpoint Kinase 1, Checkpoint Kinase 2, Diabetes Mellitus, Type 2, Diet, Fertility, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mice, Inbred C57BL, Ovary, Uterus, Type 2, medicine.medical_specialty, media_common.quotation_subject, MEDLINE, Biology, Premature ovarian insufficiency, Article, genome-wide meta-analysis, SDG 3 - Good Health and Well-being, GERMLINE, Diabetes Mellitus, Genetic predisposition, Ovarian reserve, Premature, business.industry, Human genetics, CHROMOSOME SYNAPSIS, DNA-DAMAGE, Ageing, EXPRESSION ANALYSIS, business, MEIOTIC CELL-CYCLE
Abstract: Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease. Hundreds of genetic loci associated with age at menopause, combined with experimental evidence in mice, highlight mechanisms of reproductive ageing across the lifespan.
Published: 2021

8. Incident disease associations with mosaic chromosomal alterations on autosomes, X and Y chromosomes: insights from a phenome-wide association study in the UK Biobank

Author: Felix R. Day, Brandon Rose, Derek Brown, Stephen J. Chanock, Olivia W. Lee, Shu-Hong Lin, Sairah M. Khan, John R. B. Perry, Jada Hislop, Mitchell J. Machiela, Machiela, Mitchell J. [0000-0001-6538-9705], Apollo - University of Cambridge Repository, and Machiela, Mitchell J [0000-0001-6538-9705]
Subjects: 0301 basic medicine, Phenome-wide association study, UK Biobank, QH301-705.5, QD415-436, Disease, Biology, Phenome, Biochemistry, Gene dosage, General Biochemistry, Genetics and Molecular Biology, Loss of heterozygosity, 03 medical and health sciences, 0302 clinical medicine, Mosaic chromosomal alterations, medicine, natural sciences, Biology (General), X chromosome, Genetics, Autosome, Research, PheWAS, Cancer, Chromosome, medicine.disease, humanities, 030104 developmental biology, The Human Y Chromosome in Health and Disease, 030220 oncology & carcinogenesis, TP248.13-248.65, Mosaic loss of Y, Biotechnology
Abstract: Funder: Division of Cancer Epidemiology and Genetics, National Cancer Institute; doi: http://dx.doi.org/10.13039/100011541, Funder: National Cancer Institute (NCI), Background: Mosaic chromosomal alterations (mCAs) are large chromosomal gains, losses and copy-neutral losses of heterozygosity (LOH) in peripheral leukocytes. While many individuals with detectable mCAs have no notable adverse outcomes, mCA-associated gene dosage alterations as well as clonal expansion of mutated leukocyte clones could increase susceptibility to disease. Results: We performed a phenome-wide association study (PheWAS) using existing data from 482,396 UK Biobank (UKBB) participants to investigate potential associations between mCAs and incident disease. Of the 1290 ICD codes we examined, our adjusted analysis identified a total of 50 incident disease outcomes associated with mCAs at PheWAS significance levels. We observed striking differences in the diseases associated with each type of alteration, with autosomal mCAs most associated with increased hematologic malignancies, incident infections and possibly cancer therapy-related conditions. Alterations of chromosome X were associated with increased lymphoid leukemia risk and, mCAs of chromosome Y were linked to potential reduced metabolic disease risk. Conclusions: Our findings demonstrate that a wide range of diseases are potential sequelae of mCAs and highlight the critical importance of careful covariate adjustment in mCA disease association studies.
Published: 2021

9. GIGYF1 loss of function is associated with clonal mosaicism and adverse metabolic health

Author: Claudia Langenberg, Po-Ru Loh, John R. B. Perry, Yajie Zhao, Maik Pietzner, Felix R. Day, Stasa Stankovic, Mine Koprulu, Eleanor Wheeler, Nicola D. Kerrison, Nicholas J. Wareham, Ken K. Ong, Hana Lango Allen, Zhao, Yajie [0000-0002-2747-0219], Stankovic, Stasa [0000-0002-6602-1379], Wheeler, Eleanor [0000-0002-8616-6444], Day, Felix R [0000-0003-3789-7651], Pietzner, Maik [0000-0003-3437-9963], Loh, Po-Ru [0000-0001-5542-9064], Wareham, Nicholas J [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], Ong, Ken K [0000-0003-4689-7530], Perry, John R B [0000-0001-6483-3771], Apollo - University of Cambridge Repository, Perry, John RB [0000-0001-6483-3771], Day, Felix R. [0000-0003-3789-7651], Wareham, Nicholas J. [0000-0003-1422-2993], Ong, Ken K. [0000-0003-4689-7530], and Perry, John R. B. [0000-0001-6483-3771]
Subjects: Male, DNA Mutational Analysis, 45/43, General Physics and Astronomy, Genome-wide association study, Type 2 diabetes, Genome-wide association studies, Whole Exome Sequencing, Receptor, IGF Type 1, 0302 clinical medicine, Loss of Function Mutation, Leukocytes, Insulin, Exome, Exome sequencing, Genetics, 0303 health sciences, Multidisciplinary, Mosaicism, article, Middle Aged, humanities, 631/208/211, Female, Signal Transduction, Genomic instability, Adult, Science, 631/208/205/2138, Biology, General Biochemistry, Genetics and Molecular Biology, 692/163/2743/137/773, 03 medical and health sciences, Exome Sequencing, medicine, Humans, Genetic Predisposition to Disease, Allele, Loss function, 030304 developmental biology, Genetic association, Aged, Chromosomes, Human, Y, 45, Case-control study, General Chemistry, medicine.disease, Diabetes Mellitus, Type 2, Case-Control Studies, Carrier Proteins, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Funder: Department of Health, Mosaic loss of chromosome Y (LOY) in leukocytes is the most common form of clonal mosaicism, caused by dysregulation in cell-cycle and DNA damage response pathways. Previous genetic studies have focussed on identifying common variants associated with LOY, which we now extend to rarer, protein-coding variation using exome sequences from 82,277 male UK Biobank participants. We find that loss of function of two genes-CHEK2 and GIGYF1-reach exome-wide significance. Rare alleles in GIGYF1 have not previously been implicated in any complex trait, but here loss-of-function carriers exhibit six-fold higher susceptibility to LOY (OR = 5.99 [3.04-11.81], p = 1.3 × 10-10). These same alleles are also associated with adverse metabolic health, including higher susceptibility to Type 2 Diabetes (OR = 6.10 [3.51-10.61], p = 1.8 × 10-12), 4 kg higher fat mass (p = 1.3 × 10-4), 2.32 nmol/L lower serum IGF1 levels (p = 1.5 × 10-4) and 4.5 kg lower handgrip strength (p = 4.7 × 10-7) consistent with proposed GIGYF1 enhancement of insulin and IGF-1 receptor signalling. These associations are mirrored by a common variant nearby associated with the expression of GIGYF1. Our observations highlight a potential direct connection between clonal mosaicism and metabolic health.
Published: 2021
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10. A Polygenic Risk Score to Predict Future Adult Short Stature Among Children

Author: Nicholas J. Timpson, Haoyu Wu, Tianyuan Lu, John R. B. Perry, Celia M. T. Greenwood, Despoina Manousaki, Ken K. Ong, Vincenzo Forgetta, J. Brent Richards, Lu, Tianyuan [0000-0002-5664-5698], Forgetta, Vincenzo [0000-0002-6061-4720], Richards, J Brent [0000-0002-3746-9086], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Male, Longitudinal study, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, parental height, Biochemistry, 0302 clinical medicine, Endocrinology, Risk Factors, 030212 general & internal medicine, Longitudinal Studies, Child, Growth Disorders, education.field_of_study, ALSPAC, Middle Aged, Biobank, Area Under Curve, Child, Preschool, Cohort, Female, medicine.symptom, AcademicSubjects/MED00250, Adult, medicine.medical_specialty, UK Biobank, adult height prediction, Population, Context (language use), Short stature, Risk Assessment, White People, 03 medical and health sciences, Predictive Value of Tests, Internal medicine, medicine, Humans, education, Clinical Research Articles, Genetic association, Aged, Receiver operating characteristic, business.industry, Biochemistry (medical), Body Height, United Kingdom, short stature, 030104 developmental biology, ROC Curve, polygenic risk score, business, Demography, Genome-Wide Association Study
Abstract: Context Adult height is highly heritable, yet no genetic predictor has demonstrated clinical utility compared to mid-parental height. Objective To develop a polygenic risk score for adult height and evaluate its clinical utility. Design A polygenic risk score was constructed based on meta-analysis of genomewide association studies and evaluated on the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. Subjects Participants included 442 599 genotyped White British individuals in the UK Biobank and 941 genotyped child-parent trios of European ancestry in the ALSPAC cohort. Interventions None. Main Outcome Measures Standing height was measured using stadiometer; Standing height 2 SDs below the sex-specific population average was considered as short stature. Results Combined with sex, a polygenic risk score captured 71.1% of the total variance in adult height in the UK Biobank. In the ALSPAC cohort, the polygenic risk score was able to identify children who developed adulthood short stature with an area under the receiver operating characteristic curve (AUROC) of 0.84, which is close to that of mid-parental height. Combining this polygenic risk score with mid-parental height or only one of the child’s parent’s height could improve the AUROC to at most 0.90. The polygenic risk score could also substitute mid-parental height in age-specific Khamis-Roche height predictors and achieve an equally strong discriminative power in identifying children with a short stature in adulthood. Conclusions A polygenic risk score could be considered as an alternative or adjunct to mid-parental height to improve screening for children at risk of developing short stature in adulthood in European ancestry populations.
Published: 2021
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11. Prepubertal Dietary and Plasma Phospholipid Fatty Acids Related to Puberty Timing: Longitudinal Cohort and Mendelian Randomization Analyses

Author: Nicholas J. Wareham, Jian'an Luan, Nita G. Forouhi, Ken K. Ong, John R. B. Perry, Claudia Langenberg, Tuck Seng Cheng, Felix R. Day, Cheng, Tuck Seng [0000-0003-4442-7332], Ong, Ken K [0000-0003-4689-7530], Apollo - University of Cambridge Repository, and Ong, Ken K. [0000-0003-4689-7530]
Subjects: Gerontology, Adult, Male, Adolescent, 030209 endocrinology & metabolism, Article, Time, Cohort Studies, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Mendelian Randomization, Mendelian randomization, Medicine, Humans, TX341-641, 030212 general & internal medicine, Longitudinal Studies, Longitudinal cohort, Prospective cohort study, Child, Phospholipids, Nutrition and Dietetics, business.industry, Nutrition. Foods and food supply, Fatty Acids, Puberty, Age Factors, Mendelian Randomization Analysis, ALSPAC, Diet, Research centre, Child, Preschool, puberty timing, Female, business, Food Science, prospective study
Abstract: Funder: NIHR Biomedical Research Centre Cambridge: Nutrition, Diet, and Lifestyle Research Theme; Grant(s): IS-BRC-1215-20014, Dietary intakes of polyunsaturated, monounsaturated and saturated fatty acids (FAs) have been inconsistently associated with puberty timing. We examined longitudinal associations of prepubertal dietary and plasma phospholipid FAs with several puberty timing traits in boys and girls. In the Avon Longitudinal Study of Parents and Children, prepubertal fat intakes at 3-7.5 years and plasma phospholipid FAs at 7.5 years were measured. Timings of Tanner stage 2 genital or breast development and voice breaking or menarche from repeated reports at 8-17 years, and age at peak height velocity (PHV) from repeated height measurements at 5-20 years were estimated. In linear regression models with adjustment for maternal and infant characteristics, dietary substitution of polyunsaturated FAs for saturated FAs, and higher concentrations of dihomo-γ-linolenic acid (20:3n6) and palmitoleic acid (16:1n7) were associated with earlier timing of puberty traits in girls (n = 3872) but not boys (n = 3654). In Mendelian Randomization models, higher genetically predicted circulating dihomo-γ-linolenic acid was associated with earlier menarche in girls. Based on repeated dietary intake data, objectively measured FAs and genetic causal inference, these findings suggest that dietary and endogenous metabolic pathways that increase plasma dihomo-γ-linolenic acid, an intermediate metabolite of n-6 polyunsaturated FAs, may promote earlier puberty timing in girls.
Published: 2021

12. Voice break in boys—temporal relations with other pubertal milestones and likely causal effects of BMI

Author: Ken K. Ong, Felix R. Day, Anders Juul, Lise Aksglaede, John R. B. Perry, Alexander S Busch, Casper P. Hagen, Kaspar Sørensen, Benjamin Hollis, Day, Felix [0000-0003-3789-7651], Perry, John [0000-0001-6483-3771], Ong, Kenneth [0000-0003-4689-7530], and Apollo - University of Cambridge Repository
Subjects: Male, medicine.medical_specialty, voice break, puberty, Pediatric Obesity, Higher education, Adolescent, Denmark, 030209 endocrinology & metabolism, Body Mass Index, Danish, 03 medical and health sciences, BMI, Young Adult, 0302 clinical medicine, 030225 pediatrics, Political science, Epidemiology, medicine, Mendelian randomization, Humans, Testosterone, Longitudinal Studies, Child, Stock (geology), business.industry, causal, Rehabilitation, Causal effect, Age Factors, Obstetrics and Gynecology, Gender studies, Medical research, language.human_language, Puberty, aging and HRT, Reproductive Medicine, language, Voice, Christian ministry, Original Article, business, Body mass index
Abstract: STUDY QUESTION How is timing of voice break related to other male pubertal milestones as well as to BMI? SUMMARY ANSWER We provide a comprehensive temporal analysis of male pubertal milestones, including reproductive hormone dynamics, confirm voice break as a late milestone of male puberty and report a likely causal relationship between higher BMI and earlier age at voice break in men. WHAT IS KNOWN ALREADY Voice break represents a late pubertal milestone and recalled age at voice break is frequently used in epidemiological studies as a measure of puberty. In contrast, clinical studies use mainly testicular enlargement and/or genital tanner stage as the marker of pubertal onset. However, neither correlation of pubertal milestones nor reproductive hormone dynamics have been assessed in detail previously. Further, although BMI and puberty timing are known to be closely linked, cause and effect between these traits are not known. STUDY DESIGN, SIZE, DURATION The study included a population-based mixed cross-sectional and longitudinal cohort (2006–2014, COPENHAGEN Puberty Study) of 730 healthy Danish boys. Data for 55 871 male research participants from the 23andMe study were obtained, including genome-wide single nucleotide polymorphism data and age at voice break. PARTICIPANTS/MATERIALS, SETTING, METHODS We performed a detailed evaluation of pubertal milestones and reproductive hormone levels (study population 1). A Mendelian randomization (MR) approach was used to determine the likely causal link between BMI and timing of voice break (study population 2). MAIN RESULTS AND THE ROLE OF CHANCE Voice break occurred at mean age 13.6 (95% CI: 13.5–13.8) years. At voice break, mean (95% CI) testosterone levels, LH levels and bi-testicular volume were 10.9 (10.0–11.7) nmol/L, 2.4 (2.2–2.5) IU/L and 24 (23–25) mL, respectively. Voice break correlated moderately strongly with timing of male pubertal milestones, including testicular enlargement, gonadarche, pubarche, sweat odor, axillary hair growth and testosterone above limit of detection (r2 range: 0.43–0.61). Timing of all milestones was negatively associated with age-specific BMI (all P ≤ 0.001). MR analyses inferred likely causal effects of higher BMI on earlier voice break in males (−0.35 years/approximate SD, P LIMITATIONS, REASONS FOR CAUTION Participation rate of the population-based cohort was 25%. Further, boys that were followed longitudinally were examined approximately every 6 months limiting the time resolution of pubertal milestones. Using adult BMI as exposure instead of prepubertal BMI in the MR analysis and the known inaccuracies of the testosterone immunoassay at low testosterone levels may be further limitations. WIDER IMPLICATIONS OF THE FINDINGS We provide valuable normative data on the temporal relation of male pubertal milestones. Further, the likely causal relationship between BMI and puberty timing highlights the importance of preventing obesity in childhood. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by Danish Agency for Science, Technology and Innovation (09-067 180); Danish Ministry of the Environment, CeHoS (MST-621-00 065); Capital Region of Denmark (R129-A3966); Ministry of Higher Education and Science (DFF-1331-00 113); Innovation Fund Denmark (InnovationsFonden, 14-2013-4); The International Center for Research and Research Training in Endocrine Disrupting Effects of Male Reproduction and Child Health. B.H., F.R.D., J.R.B.P. and K.K.O. are supported by the Medical Research Council (MC_UU_12015/2). The 23andMe study is supported by the National Human Genome Research Institute of the National Institutes of Health (R44HG006981). Members of the 23andMe Research Team are employees of 23andMe, Inc. and hold stock or stock options in 23andMe. TRIAL REGISTRATION NUMBER NCT01411527
Published: 2019

13. Genetic association study of childhood aggression across raters, instruments, and age

Author: Nicholas G. Martin, S. Alexandra Burt, Louise Arseneault, Fazil Aliev, Luke M. Evans, Hill F. Ip, Beate St Pourcain, Michel G. Nivard, William E. Copeland, Rebecca K. Vinding, Scott Gordon, Koen Bolhuis, Christian J. Hopfer, Gun Peggy Knudsen, Stefan Johansson, Avshalom Caspi, Richard Border, Chandra A. Reynolds, Pål R. Njølstad, Liisa Keltikangas-Järvinen, Dorret I. Boomsma, Klaus Bønnelykke, Teemu Palviainen, Marta Ribasés, Alina Rodriguez, Catharina A. Hartman, Ilkka Seppälä, Christel M. Middeldorp, Rosa Bosch, Jan Haavik, Gail M. Williams, Andrea G. Allegrini, Ruth Ks, John R. B. Perry, Hadi Zafarmand, Chang Jiang, Elizabeth J. Costello, Camiel M. van der Laan, Olli T. Raitakari, Miquel Casas, Isabell Brikell, William G. Iacono, Jaakko Kaprio, John K. Hewitt, Andrew C. Heath, Eero Vuoksimaa, Xiaoran Tong, Gemma Español, Erik A. Ehli, Richie Poulton, Gareth E. Davies, Albertine J. Oldehinkel, Hans Bisgaard, Naomi R. Wray, Ted Reichborn-Kjennerud, Robert Plomin, Michael C. Stallings, Qing Lu, Jackob M. Najman, Daniel E. Adkins, Yi Lu, Harold Snieder, Sally J. Wadsworth, Alexander Neumann, Alexandra Havdahl, Karen Sugden, Kelly L. Klump, Andrew Smolen, Henrik Larsson, Toos C. E. M. van Beijsterveldt, Kenneth Krauter, Tarunveer S. Ahluwalia, Tellervo Korhonen, Andrey A. Shabalin, Joachim Heinrich, Anke R. Hammerschlag, Shelby Marrington, Lærke Sass, Pamela A. F. Madden, Henning Tiemeier, Tanja Vrijkotte, Paul Lichtenstein, Terho Lehtimäki, Ville Karhunen, Cristina Sánchez-Mora, Robin P. Corley, Anna A. E. Vinkhuyzen, Richard J. Rose, Per Magnus, Sabrina Llop, Ilja M. Nolte, S.A. Brown, Christian Hakulinen, Anjali K. Henders, Marie Standl, Silvia Alemany, Gretchen R.B. Saunders, Jouke-Jan Hottenga, Eveline L. de Zeeuw, Meike Bartels, Elisabeth Thiering, José J. Morosoli, Fiona A. Hagenbeek, Laura Pulkki-Råback, Frank C. Verhulst, Martin A. Kennedy, Craig E. Pennell, Eva Krapohl, Kaili Rimfeld, Tetyana Zayats, Lucía Colodro-Conde, Judith B.M. Ensink, André G. Uitterlinden, Natalia Vilor-Tejedor, Felix R. Day, Jennifer R. Harris, George Davey Smith, Qi Chen, Sebastian Lundström, Marjo-Riitta Järvelin, Alyce M. Whipp, Katrina L. Grasby, L. John Horwood, John Pearson, Judy L. Silberg, Paula Rovira, Hermine H. Maes, Carol A. Wang, Roseann E. Peterson, Tamara L. Wall, Andrew J. O. Whitehouse, Maria-Jose Lopez-Espinosa, Najaf Amin, Jess Tyrrell, Danielle M. Dick, Sarah E. Medland, Allison L. Miller, Øyvind Helgeland, Josep Antoni Ramos Quiroga, Joseph M. Boden, Abdullah Mamun, James Scott, María Soler Artigas, Joseph A. Prinz, Lindon J. Eaves, Terrie E. Moffitt, Matt McGue, Jordi Sunyer, Joanna Martin, Tampere University, Clinical Medicine, Department of Clinical Chemistry, Apollo-University Of Cambridge Repository, Ip, Hill F [0000-0003-1991-5019], Sánchez-Mora, Cristina [0000-0003-4211-1107], Nolte, Ilja M [0000-0001-5047-4077], St Pourcain, Beate [0000-0002-4680-3517], Palviainen, Teemu [0000-0002-7847-8384], Colodro-Conde, Lucía [0000-0002-9004-364X], Gordon, Scott [0000-0001-7623-328X], Aliev, Fazil [0000-0001-8357-4699], Karhunen, Ville [0000-0001-6064-1588], Border, Richard [0000-0002-6293-2968], Ahluwalia, Tarunveer S [0000-0002-7464-3354], Day, Felix R [0000-0003-3789-7651], Hottenga, Jouke-Jan [0000-0002-5668-2368], Rimfeld, Kaili [0000-0001-5139-065X], Lu, Yi [0000-0001-9933-3654], Soler Artigas, María [0000-0002-3213-1107], Bosch, Rosa [0000-0002-7596-183X], Ramos Quiroga, Josep Antoni [0000-0003-1622-0350], Neumann, Alexander [0000-0001-6653-3203], Grasby, Katrina [0000-0001-8539-0228], Middeldorp, Christel [0000-0002-6218-0428], Evans, Luke M [0000-0002-7458-1720], Alemany, Silvia [0000-0002-7925-6767], Sass, Lærke [0000-0002-5217-7014], Ruth, Kate [0000-0003-4966-9170], Ehli, Erik A [0000-0002-7865-3015], Hagenbeek, Fiona A [0000-0002-8773-0430], Snieder, Harold [0000-0003-1949-2298], Uitterlinden, André G [0000-0002-7276-3387], Haavik, Jan [0000-0001-7865-2808], Johansson, Stefan [0000-0002-2298-7008], Knudsen, Gun Peggy S [0000-0002-6193-4291], Njolstad, Pal Rasmus [0000-0003-0304-6728], Rodriguez, Alina [0000-0003-1209-8802], Brown, Sandy [0000-0001-8780-0323], Miller, Allison [0000-0003-3816-2251], Keltikangas-Järvinen, Liisa [0000-0002-7977-3852], Havdahl, Alexandra [0000-0002-9268-0423], Perry, John RB [0000-0001-6483-3771], Lehtimäki, Terho [0000-0002-2555-4427], Arseneault, Louise [0000-0002-2938-2191], Boden, Joseph [0000-0003-1502-1608], Pearson, John [0000-0001-5607-4517], Kennedy, Martin [0000-0002-6445-8526], Poulton, Richie [0000-0002-1052-4583], Copeland, William E [0000-0002-1348-7781], Wray, Naomi [0000-0001-7421-3357], Järvelin, Marjo-Riitta [0000-0002-2149-0630], McGue, Matt [0000-0002-5580-1433], Pennell, Craig E [0000-0002-0937-6165], Dick, Danielle M [0000-0002-1636-893X], Martin, Nicholas G [0000-0003-4069-8020], Medland, Sarah E [0000-0003-1382-380X], Kaprio, Jaakko [0000-0002-3716-2455], Tiemeier, Henning [0000-0002-4395-1397], Davey Smith, George [0000-0002-1407-8314], Oldehinkel, Albertine J [0000-0003-3925-3913], Ribasés, Marta [0000-0003-1039-1116], Lichtenstein, Paul [0000-0003-3037-5287], Plomin, Robert [0000-0002-0756-3629], Bartels, Meike [0000-0002-9667-7555], Nivard, Michel G [0000-0003-2015-1888], Boomsma, Dorret I [0000-0002-7099-7972], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Child and Adolescent Psychiatry / Psychology, Epidemiology, Internal Medicine, Institute for Molecular Medicine Finland, Genetic Epidemiology, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Tellervo Korhonen / Principal Investigator, Cognitive and Brain Aging, Faculty Common Matters (Faculty of Medicine), Medicum, Doctoral Programme in Cognition, Learning, Instruction and Communication, Department of Psychology and Logopedics, Helsinki Inequality Initiative (INEQ), Faculty Common Matters (Faculty of Education), Psychosocial factors and health, Behavioural Sciences, Department of Public Health, Adult Psychiatry, Epidemiology and Data Science, APH - Aging & Later Life, APH - Methodology, ARD - Amsterdam Reproduction and Development, Graduate School, Child Psychiatry, ACS - Pulmonary hypertension & thrombosis, ANS - Cellular & Molecular Mechanisms, ANS - Compulsivity, Impulsivity & Attention, Public and occupational health, APH - Health Behaviors & Chronic Diseases, Institut Català de la Salut, [Ip HF] Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. [van der Laan CM] Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. Netherlands Institute for the Study of Crime and Law Enforcement, Amsterdam, The Netherlands. [Krapohl EML] Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK. [Brikell I] Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. [Sánchez-Mora C, Soler Artigas M, Rovira P, Ribasés M] Servei de Psiquiatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain. Unitat de Genètica Psiquiàtrica, Grup de Recerca en Psiquiatria, Salut Mental i Addicció, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. [Nolte IM] Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. [Bosch R] Servei de Psiquiatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain. Servei de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona, Bellaterra, Spain. [Español G] Servei de Psiquiatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Ramos Quiroga JA, Ribasés M] Servei de Psiquiatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain. Unitat de Genètica Psiquiàtrica, Grup de Recerca en Psiquiatria, Salut Mental i Addicció, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. Servei de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona, Bellaterra, Spain, Vall d'Hebron Barcelona Hospital Campus, Biological Psychology, APH - Personalized Medicine, APH - Mental Health, Amsterdam Reproduction & Development, Perry, John R B [0000-0001-6483-3771], Ip, Hill F. [0000-0003-1991-5019], Nolte, Ilja M. [0000-0001-5047-4077], Ahluwalia, Tarunveer S. [0000-0002-7464-3354], Day, Felix R. [0000-0003-3789-7651], Evans, Luke M. [0000-0002-7458-1720], Ehli, Erik A. [0000-0002-7865-3015], Hagenbeek, Fiona A. [0000-0002-8773-0430], Uitterlinden, André G. [0000-0002-7276-3387], Knudsen, Gun Peggy S. [0000-0002-6193-4291], Perry, John R. B. [0000-0001-6483-3771], Copeland, William E. [0000-0002-1348-7781], Pennell, Craig E. [0000-0002-0937-6165], Dick, Danielle M. [0000-0002-1636-893X], Martin, Nicholas G. [0000-0003-4069-8020], Medland, Sarah E. [0000-0003-1382-380X], Oldehinkel, Albertine J. [0000-0003-3925-3913], Nivard, Michel G. [0000-0003-2015-1888], and Boomsma, Dorret I. [0000-0002-7099-7972]
Subjects: 0301 basic medicine, DISORDER, 45/43, Genome-wide association study, 3124 Neurology and psychiatry, 0302 clinical medicine, Child, Psychiatry, 0303 health sciences, trastornos mentales [PSIQUIATRÍA Y PSICOLOGÍA], HERITABILITY, Mental Disorders, Cognition, Genomics, Explained variation, Justice and Strong Institutions, Aggression, Psychiatry and Mental health, Meta-analysis, ADOLESCENCE, Child, Preschool, conducta y mecanismos de la conducta::conducta::síntomas conductuales::agresión [PSIQUIATRÍA Y PSICOLOGÍA], 631/208/212, Female, Biological psychiatry, medicine.symptom, Life Sciences & Biomedicine, Investigative Techniques::Genetic Techniques::Genetic Association Studies [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT], BEHAVIOR, RC321-571, Childhood aggression, Clinical psychology, SDG 16 - Peace, Adolescent, Mental Disorders [PSYCHIATRY AND PSYCHOLOGY], Neurosciences. Biological psychiatry. Neuropsychiatry, Single-nucleotide polymorphism, Biology, 3121 Internal medicine, Malalties mentals - Aspectes genètics, Genetic correlation, Article, 1117 Public Health and Health Services, Cellular and Molecular Neuroscience, 03 medical and health sciences, 631/477/2811, SDG 3 - Good Health and Well-being, Human behaviour, medicine, SNP, Humans, GENOME-WIDE ASSOCIATION, Biological Psychiatry, Genetic Association Studies, 030304 developmental biology, Genetic association, Retrospective Studies, técnicas de investigación::técnicas genéticas::estudios de asociación genética [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS], Science & Technology, SDG 16 - Peace, Justice and Strong Institutions, Infant, Behavior and Behavior Mechanisms::Behavior::Behavioral Symptoms::Aggression [PSYCHIATRY AND PSYCHOLOGY], 1103 Clinical Sciences, Agressivitat en els infants, Heritability, 030104 developmental biology, 1701 Psychology, ORIGINS, Research Programm of Donders Centre for Neuroscience, 3111 Biomedicine, TRAJECTORIES, 030217 neurology & neurosurgery, Demography, Genome-Wide Association Study
Abstract: Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE = 0.0038). We found no genome-wide significant SNPs for AGGoverall. The gene-based analysis returned three significant genes: ST3GAL3 (P = 1.6E–06), PCDH7 (P = 2.0E–06), and IPO13 (P = 2.5E–06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (rg) among rater-specific assessment of AGG ranged from rg = 0.46 between self- and teacher-assessment to rg = 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong rgs with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range $$\left| {r_g} \right|$$ r g : 0.19–1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (rg = ~−0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range $$\left| {r_g} \right|$$ r g : 0.46–0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG.
Published: 2021

14. Immune cells lacking Y chromosome show dysregulation of autosomal gene expression

Author: Behrooz Torabi Moghadam, Noémi Nagy, Karolina Bukowska-Strakova, Ulf Gyllensten, Vilmantas Giedraitis, Erin Oerton, Edyta Rychlicka-Buniowska, Łukasz Bełch, Lars Forsberg, Hanna Davies, Jarosław Baran, Jessica Nordlund, Stefan Enroth, Åsa Johansson, Maciej Siedlar, Tomasz Grodzicki, Kazimierz Weglarczyk, Alicja Klich-Rączka, Lena Kilander, Jan P. Dumanski, Alicja Jozkowicz, Marcus Danielsson, John R. B. Perry, Janusz Ryś, Arkadiusz Piotrowski, Stefan Imreh, Janusz Jaszczyński, Jonas Mattisson, Martin Ingelsson, Adam Ameur, Paweł Olszewski, Piotr Chlosta, Jonatan Halvardson, Aleksandra Ambicka, Marcin Przewoźnik, Dumanski, Jan P [0000-0002-1489-1452], Forsberg, Lars A [0000-0002-1701-755X], Apollo - University of Cambridge Repository, Dumanski, Jan P. [0000-0002-1489-1452], and Forsberg, Lars A. [0000-0002-1701-755X]
Subjects: 0301 basic medicine, CD4-Positive T-Lymphocytes, Male, Cell type, Biology, medicine.disease_cause, Y chromosome, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Immune system, Alzheimer Disease, Gene expression, medicine, Leukocytes, Humans, LATE, Molecular Biology, Gene, Differential gene expression, Medicinsk genetik, Pharmacology, Genetics, Mutation, Chromosomes, Human, Y, Mosaicism, Mosaic loss of chromosome Y, RNA, Chromosome, Prostatic Neoplasms, LOY, Cell Biology, Killer Cells, Natural, 030104 developmental biology, LOY-associated transcriptional effects, Gene Expression Regulation, Molecular Medicine, Original Article, Medical Genetics, 030217 neurology & neurosurgery
Abstract: Funder: Kjell och Märta Beijers Stiftelse (SE), Funder: Hjärnfonden; doi: http://dx.doi.org/10.13039/501100003792, Funder: Cancerfonden; doi: http://dx.doi.org/10.13039/501100002794, Funder: Vetenskapsrådet; doi: http://dx.doi.org/10.13039/501100004359, Funder: Alzheimerfonden; doi: http://dx.doi.org/10.13039/501100008599, Funder: Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse (SE), Funder: Science for Life Laboratory (SE), Funder: Fundacja na rzecz Nauki Polskiej (PL), Funder: Uppsala University, Epidemiological investigations show that mosaic loss of chromosome Y (LOY) in leukocytes is associated with earlier mortality and morbidity from many diseases in men. LOY is the most common acquired mutation and is associated with aberrant clonal expansion of cells, yet it remains unclear whether this mosaicism exerts a direct physiological effect. We studied DNA and RNA from leukocytes in sorted- and single-cells in vivo and in vitro. DNA analyses of sorted cells showed that men diagnosed with Alzheimer’s disease was primarily affected with LOY in NK cells whereas prostate cancer patients more frequently displayed LOY in CD4 + T cells and granulocytes. Moreover, bulk and single-cell RNA sequencing in leukocytes allowed scoring of LOY from mRNA data and confirmed considerable variation in the rate of LOY across individuals and cell types. LOY-associated transcriptional effect (LATE) was observed in ~ 500 autosomal genes showing dysregulation in leukocytes with LOY. The fraction of LATE genes within specific cell types was substantially larger than the fraction of LATE genes shared between different subsets of leukocytes, suggesting that LOY might have pleiotropic effects. LATE genes are involved in immune functions but also encode proteins with roles in other diverse biological processes. Our findings highlight a surprisingly broad role for chromosome Y, challenging the view of it as a “genetic wasteland”, and support the hypothesis that altered immune function in leukocytes could be a mechanism linking LOY to increased risk for disease.
Published: 2021

15. Development and validation of total and regional body composition prediction equations from anthropometry and single frequency segmental bioelectrical impedance with DEXA

Author: E De Lucia Rolfe, Ken K. Ong, Soren Brage, Felix R. Day, Claudia Langenberg, R. M. Powell, John R. B. Perry, Simon J. Griffin, Nicholas J. Wareham, and Nita G. Forouhi
Subjects: education.field_of_study, business.industry, Population, Imaging study, Regional body composition, Anthropometry, Statistics, Linear regression, Lean body mass, Medicine, Bland–Altman plot, business, education, Bioelectrical impedance analysis
Abstract: AimsSingle-frequency segmental Bioelectrical Impedance Analysis (BIA) is commonly used to estimate body composition. To enhance the value of information derived from BIA, especially for use in large-scale epidemiological studies, we developed and validated equations to predict total and regional (arms, legs, trunk, android, gynoid, visceral) body composition parameters (lean mass and fat mass) from anthropometry and single-frequency (50 kHz) segmental BIA variables, using Dual Energy X-ray Absorptiometry (DEXA) as the criterion method.MethodsThe 11,559 adults (age 30 to 65) from the UK population-based Fenland Study with data on DEXA, BIA and anthropometry were randomly assigned to a Derivation sample (4,827 men; 5,732 women) or a Validation sample (500 men; 500 women). Prediction equations based on anthropometry and BIA variables were derived using forward stepwise multiple linear regression in the Fenland Derivation sample. These were validated in the Fenland Validation sample and also in the UK Biobank Imaging Study (2,392 men; 2,606 women) using Pearson correlations and Bland–Altman models.Results and ConclusionsBland Altman analyses revealed no significant mean bias for any predicted DEXA parameter (all P>0.05) for the fenland population. Bias expressed as % of the mean was between -0.6% and 0.5% for all parameters in both men and women, except for visceral FM and subcutaneous abdominal FM (range -3.6 to 1.1%). However, in UK Biobank most predicted parameters showed significant bias: % mean bias was 10% for leg and visceral fat mass in both sexes. In conclusion, new equations based on anthropometry and BIA variables predicted DEXA parameters with sufficient accuracy to assess relative differences between individuals, and were sufficiently accurate to predict absolute values for total body but not regional fat and lean mass.
Published: 2020

16. Imputation of variants from the 1000 Genomes Project modestly improves known associations and can identify low-frequency variant-phenotype associations undetected by HapMap based imputation.

Author: Andrew R Wood, John R B Perry, Toshiko Tanaka, Dena G Hernandez, Hou-Feng Zheng, David Melzer, J Raphael Gibbs, Michael A Nalls, Michael N Weedon, Tim D Spector, J Brent Richards, Stefania Bandinelli, Luigi Ferrucci, Andrew B Singleton, and Timothy M Frayling
Subjects: Medicine, Science
Abstract: Genome-wide association (GWA) studies have been limited by the reliance on common variants present on microarrays or imputable from the HapMap Project data. More recently, the completion of the 1000 Genomes Project has provided variant and haplotype information for several million variants derived from sequencing over 1,000 individuals. To help understand the extent to which more variants (including low frequency (1% ≤ MAF
Published: 2013
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17. 1907-P: Using Human Genetics to Test the Disease Consequences of Varying Testosterone Levels in Men and Women

Author: Katherine S. Ruth, Timothy M. Frayling, Felix R. Day, Anna Murray, Ken K. Ong, Jess Tyrrell, and John R. B. Perry
Subjects: business.industry, Endocrinology, Diabetes and Metabolism, Internal Medicine, Medicine, Physiology, Testosterone (patch), Disease, business, Human genetics, Test (assessment)
Abstract: Circulating testosterone and SHBG levels are associated with type 2 diabetes (T2D). These associations differ between sexes and by total and bioavailable testosterone. For example, in UK Biobank a 1-SD raised bioavailable testosterone is associated with lower risk of T2D in men (OR=0.90 [0.88,0.92]) but higher risk in women (OR=1.24 [1.20,1.29]). Genetic studies provide more robust tests of causality and have indicated that higher circulating SHBG is protective of T2D (OR=0.92 [0.88,0.96], Perry et al 2010), but were limited to few genetic variants. In this study we aimed to: i) expand the set of genetic variants associated with circulating testosterone; ii) separate variants into clusters representing SHBG or direct testosterone effects; and iii) perform Mendelian Randomisation studies to better understand the potential causal effects of SHBG and testosterone on T2D and related traits. We used genome-wide analyses of sex hormones from 425,097 UK Biobank participants. We identified 2,571 genome-wide significant (P Disclosure K.S. Ruth: None. F. Day: None. J. Tyrrell: None. A. Murray: None. K. Ong: None. T. Frayling: Consultant; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Sanofi, Servier. Research Support; Self; GlaxoSmithKline plc. J. Perry: None. Funding European Research Council (SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC); UK Wellcome Trust/Royal Society (104150/Z/14/Z); UK Wellcome Trust/Global Challenge Research Fund (SBF004\1079); Medical Research Council UK (MC_UU_12015/1, MC_UU_12015/2)
Published: 2020

18. Identification of 370 genetic loci for age at first sex and birth linked to externalising behaviour

Author: Felix C. Tropf, David M. Brazel, Nicola Barban, Ken K. Ong, Melinda Mills, Tune H. Pers, Harold Snieder, Felix R. Day, Marcel den Hoed, Ahmad Vaez, Natalie van Zuydam, and John R. B. Perry
Subjects: Infertility, media_common.quotation_subject, Longevity, Physiology, Spermatid differentiation, Disease, Heritability, Biology, medicine.disease, FSHB, Sexual intercourse, Reproductive biology, medicine, media_common
Abstract: Age at first sexual intercourse (AFS) and age at first birth (AFB) have implications for health and evolutionary fitness. In the largest genome-wide association study to date (AFS, N=387,338; AFB, N=542,901), we identify 370 independent signals, 11 sex-specific, with a 5-6% polygenic score (PGS) prediction. Heritability of AFB shifted from 9% [CI=4-14] for women born in 1940 to 22% [CI=19-25] in 1965. Signals are driven by the genetics of reproductive biology and externalising behaviour, with key genes related to follicle stimulating hormone (FSHB), implantation (ESR1), infertility, and spermatid differentiation. Polycystic Ovarian Syndrome leads to later AFB, linking with infertility. Late AFB is protective against later-life disease and associated with parental longevity. Higher childhood socioeconomic circumstances and those in the highest PGS decile (90%+) experience markedly later reproductive onset. Results are relevant for improving teenage and late-life health, for understanding longevity, and guiding experimentation into mechanisms of infertility.
Published: 2020

19. Genetic basis of falling risk susceptibility in the UK Biobank Study

Author: Natasja M. van Schoor, David Karasik, Lisette C. P. G. M. de Groot, Lotta J. Seppala, J. Brent Richards, Andre G. Uitterlinden, Katerina Trajanoska, Felix R. Day, Douglas P. Kiel, Carolina Medina-Gomez, Sirui Zhou, John R. B. Perry, Nathalie van der Velde, Fernando Rivadeneira, Yi-Hsiang Hsu, Trajanoska, Katerina [0000-0002-3792-4296], Medina-Gomez, Carolina [0000-0001-7999-5538], de Groot, Lisette C. P. G. M. [0000-0003-2778-2789], Karasik, David [0000-0002-8826-0530], Richards, J. Brent [0000-0002-3746-9086], Kiel, Douglas P. [0000-0001-8474-0310], Uitterlinden, Andre G. [0000-0002-7276-3387], Day, Felix R. [0000-0003-3789-7651], Rivadeneira, Fernando [0000-0001-9435-9441], Apollo - University of Cambridge Repository, de Groot, Lisette CPGM [0000-0003-2778-2789], Richards, J Brent [0000-0002-3746-9086], Kiel, Douglas P [0000-0001-8474-0310], Uitterlinden, Andre G [0000-0002-7276-3387], Day, Felix R [0000-0003-3789-7651], Epidemiology and Data Science, APH - Aging & Later Life, General practice, Internal medicine, APH - Personalized Medicine, Internal Medicine, Graduate School, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, AMS - Amsterdam Movement Sciences, Geriatrics, and AMS - Ageing & Vitality
Subjects: 0301 basic medicine, Adult, Male, Multifactorial Inheritance, Quantitative Trait Loci, 45/43, Medicine (miscellaneous), Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Linkage Disequilibrium, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Insomnia, medicine, Life Science, SNP, Humans, Genetic Predisposition to Disease, lcsh:QH301-705.5, Genetic association study, VLAG, Genetic association, Aged, Biological Specimen Banks, Falling risk, article, 631/208/205, Heritability, Mendelian Randomization Analysis, Middle Aged, Biobank, Neuroticism, Nutritional Biology, United Kingdom, 030104 developmental biology, lcsh:Biology (General), Case-Control Studies, Accidental Falls, Female, medicine.symptom, General Agricultural and Biological Sciences, 692/499, 030217 neurology & neurosurgery, Demography, Genome-Wide Association Study
Abstract: Both extrinsic and intrinsic factors predispose older people to fall. We performed a genome-wide association analysis to investigate how much of an individual’s fall susceptibility can be attributed to genetics in 89,076 cases and 362,103 controls from the UK Biobank Study. The analysis revealed a small, but significant SNP-based heritability (2.7%) and identified three novel fall-associated loci (Pcombined ≤ 5 × 10−8). Polygenic risk scores in two independent settings showed patterns of polygenic inheritance. Risk of falling had positive genetic correlations with fractures, identifying for the first time a pathway independent of bone mineral density. There were also positive genetic correlations with insomnia, neuroticism, depressive symptoms, and different medications. Negative genetic correlations were identified with muscle strength, intelligence and subjective well-being. Brain, and in particular cerebellum tissue, showed the highest gene expression enrichment for fall-associated variants. Overall, despite the highly heterogenic nature underlying fall risk, a proportion of the susceptibility can be attributed to genetics., Katerina Trajanoska et al. report a genome-wide association study of self-reported falls in UK Biobank participants. They identify three novel fall-associated loci and find that risk of falling shows patterns of polygenic inheritance and a SNP-based heritability of 2.7%.
Published: 2020

20. Genome-wide association study to identify common variants associated with brachial circumference: a meta-analysis of 14 cohorts.

Author: Vesna Boraska, Aaron Day-Williams, Christopher S Franklin, Katherine S Elliott, Kalliope Panoutsopoulou, Ioanna Tachmazidou, Eva Albrecht, Stefania Bandinelli, Lawrence J Beilin, Murielle Bochud, Gemma Cadby, Florian Ernst, David M Evans, Caroline Hayward, Andrew A Hicks, Jennifer Huffman, Cornelia Huth, Alan L James, Norman Klopp, Ivana Kolcic, Zoltán Kutalik, Debbie A Lawlor, Arthur W Musk, Marina Pehlic, Craig E Pennell, John R B Perry, Annette Peters, Ozren Polasek, Beate St Pourcain, Susan M Ring, Erika Salvi, Sabine Schipf, Jan A Staessen, Alexander Teumer, Nicholas Timpson, Veronique Vitart, Nicole M Warrington, Hanieh Yaghootkar, Tatijana Zemunik, Lina Zgaga, Ping An, Verneri Anttila, Ingrid B Borecki, Jostein Holmen, Ioanna Ntalla, Aarno Palotie, Kirsi H Pietiläinen, Juho Wedenoja, Bendik S Winsvold, George V Dedoussis, Jaakko Kaprio, Michael A Province, John-Anker Zwart, Michel Burnier, Harry Campbell, Daniele Cusi, George Davey Smith, Timothy M Frayling, Christian Gieger, Lyle J Palmer, Peter P Pramstaller, Igor Rudan, Henry Völzke, H-Erich Wichmann, Alan F Wright, and Eleftheria Zeggini
Subjects: Medicine, Science
Abstract: Brachial circumference (BC), also known as upper arm or mid arm circumference, can be used as an indicator of muscle mass and fat tissue, which are distributed differently in men and women. Analysis of anthropometric measures of peripheral fat distribution such as BC could help in understanding the complex pathophysiology behind overweight and obesity. The purpose of this study is to identify genetic variants associated with BC through a large-scale genome-wide association scan (GWAS) meta-analysis. We used fixed-effects meta-analysis to synthesise summary results across 14 GWAS discovery and 4 replication cohorts comprising overall 22,376 individuals (12,031 women and 10,345 men) of European ancestry. Individual analyses were carried out for men, women, and combined across sexes using linear regression and an additive genetic model: adjusted for age and adjusted for age and BMI. We prioritised signals for follow-up in two-stages. We did not detect any signals reaching genome-wide significance. The FTO rs9939609 SNP showed nominal evidence for association (p
Published: 2012
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21. A genome-wide association search for type 2 diabetes genes in African Americans.

Author: Nicholette D Palmer, Caitrin W McDonough, Pamela J Hicks, Bong H Roh, Maria R Wing, S Sandy An, Jessica M Hester, Jessica N Cooke, Meredith A Bostrom, Megan E Rudock, Matthew E Talbert, Joshua P Lewis, DIAGRAM Consortium, MAGIC Investigators, Assiamira Ferrara, Lingyi Lu, Julie T Ziegler, Michele M Sale, Jasmin Divers, Daniel Shriner, Adebowale Adeyemo, Charles N Rotimi, Maggie C Y Ng, Carl D Langefeld, Barry I Freedman, Donald W Bowden, Benjamin F Voight, Laura J Scott, Valgerdur Steinthorsdottir, Andrew P Morris, Christian Dina, Ryan P Welch, Eleftheria Zeggini, Cornelia Huth, Yurii S Aulchenko, Gudmar Thorleifsson, Laura J McCulloch, Teresa Ferreira, Harald Grallert, Najaf Amin, Guanming Wu, Cristen J Willer, Soumya Raychaudhuri, Steve A McCarroll, Claudia Langenberg, Oliver M Hofmann, Josée Dupuis, Lu Qi, Ayellet V Segrè, Mandy van Hoek, Pau Navarro, Kristin Ardlie, Beverley Balkau, Rafn Benediktsson, Amanda J Bennett, Roza Blagieva, Eric Boerwinkle, Lori L Bonnycastle, Kristina Bengtsson Boström, Bert Bravenboer, Suzannah Bumpstead, Noël P Burtt, Guillaume Charpentier, Peter S Chines, Marilyn Cornelis, David J Couper, Gabe Crawford, Alex S F Doney, Katherine S Elliott, Amanda L Elliott, Michael R Erdos, Caroline S Fox, Christopher S Franklin, Martha Ganser, Christian Gieger, Niels Grarup, Todd Green, Simon Griffin, Christopher J Groves, Candace Guiducci, Samy Hadjadj, Neelam Hassanali, Christian Herder, Bo Isomaa, Anne U Jackson, Paul R V Johnson, Torben Jørgensen, Wen H L Kao, Norman Klopp, Augustine Kong, Peter Kraft, Johanna Kuusisto, Torsten Lauritzen, Man Li, Aloysius Lieverse, Cecilia M Lindgren, Valeriya Lyssenko, Michel Marre, Thomas Meitinger, Kristian Midthjell, Mario A Morken, Narisu Narisu, Peter Nilsson, Katharine R Owen, Felicity Payne, John R B Perry, Ann-Kristin Petersen, Carl Platou, Christine Proença, Inga Prokopenko, Wolfgang Rathmann, N William Rayner, Neil R Robertson, Ghislain Rocheleau, Michael Roden, Michael J Sampson, Richa Saxena, Beverley M Shields, Peter Shrader, Gunnar Sigurdsson, Thomas Sparsø, Klaus Strassburger, Heather M Stringham, Qi Sun, Amy J Swift, Barbara Thorand, Jean Tichet, Tiinamaija Tuomi, Rob M van Dam, Timon W van Haeften, Thijs van Herpt, Jana V van Vliet-Ostaptchouk, G Bragi Walters, Michael N Weedon, Cisca Wijmenga, Jacqueline Witteman, Richard N Bergman, Stephane Cauchi, Francis S Collins, Anna L Gloyn, Ulf Gyllensten, Torben Hansen, Winston A Hide, Graham A Hitman, Albert Hofman, David J Hunter, Kristian Hveem, Markku Laakso, Karen L Mohlke, Andrew D Morris, Colin N A Palmer, Peter P Pramstaller, Igor Rudan, Eric Sijbrands, Lincoln D Stein, Jaakko Tuomilehto, Andre Uitterlinden, Mark Walker, Nicholas J Wareham, Richard M Watanabe, Goncalo R Abecasis, Bernhard O Boehm, Harry Campbell, Mark J Daly, Andrew T Hattersley, Frank B Hu, James B Meigs, James S Pankow, Oluf Pedersen, H-Erich Wichmann, Inês Barroso, Jose C Florez, Timothy M Frayling, Leif Groop, Rob Sladek, Unnur Thorsteinsdottir, James F Wilson, Thomas Illig, Philippe Froguel, Cornelia M van Duijn, Kari Stefansson, David Altshuler, Michael Boehnke, Mark I McCarthy, Nicole Soranzo, Eleanor Wheeler, Nicole L Glazer, Nabila Bouatia-Naji, Reedik Mägi, Joshua Randall, Toby Johnson, Paul Elliott, Denis Rybin, Peter Henneman, Abbas Dehghan, Jouke Jan Hottenga, Kijoung Song, Anuj Goel, Josephine M Egan, Taina Lajunen, Alex Doney, Stavroula Kanoni, Christine Cavalcanti-Proença, Meena Kumari, Nicholas J Timpson, Carina Zabena, Erik Ingelsson, Ping An, Jeffrey O'Connell, Jian'an Luan, Amanda Elliott, Steven A McCarroll, Rosa Maria Roccasecca, François Pattou, Praveen Sethupathy, Yavuz Ariyurek, Philip Barter, John P Beilby, Yoav Ben-Shlomo, Sven Bergmann, Murielle Bochud, Amélie Bonnefond, Knut Borch-Johnsen, Yvonne Böttcher, Eric Brunner, Suzannah J Bumpstead, Yii-Der Ida Chen, Peter Chines, Robert Clarke, Lachlan J M Coin, Matthew N Cooper, Laura Crisponi, Ian N M Day, Eco J C de Geus, Jerome Delplanque, Annette C Fedson, Antje Fischer-Rosinsky, Nita G Forouhi, Rune Frants, Maria Grazia Franzosi, Pilar Galan, Mark O Goodarzi, Jürgen Graessler, Scott Grundy, Rhian Gwilliam, Göran Hallmans, Naomi Hammond, Xijing Han, Anna-Liisa Hartikainen, Caroline Hayward, Simon C Heath, Serge Hercberg, Andrew A Hicks, David R Hillman, Aroon D Hingorani, Jennie Hui, Joe Hung, Antti Jula, Marika Kaakinen, Jaakko Kaprio, Y Antero Kesaniemi, Mika Kivimaki, Beatrice Knight, Seppo Koskinen, Peter Kovacs, Kirsten Ohm Kyvik, G Mark Lathrop, Debbie A Lawlor, Olivier Le Bacquer, Cécile Lecoeur, Yun Li, Robert Mahley, Massimo Mangino, Alisa K Manning, María Teresa Martínez-Larrad, Jarred B McAteer, Ruth McPherson, Christa Meisinger, David Melzer, David Meyre, Braxton D Mitchell, Sutapa Mukherjee, Silvia Naitza, Matthew J Neville, Ben A Oostra, Marco Orrù, Ruth Pakyz, Giuseppe Paolisso, Cristian Pattaro, Daniel Pearson, John F Peden, Nancy L Pedersen, Markus Perola, Andreas F H Pfeiffer, Irene Pichler, Ozren Polasek, Danielle Posthuma, Simon C Potter, Anneli Pouta, Michael A Province, Bruce M Psaty, Nigel W Rayner, Kenneth Rice, Samuli Ripatti, Fernando Rivadeneira, Olov Rolandsson, Annelli Sandbaek, Manjinder Sandhu, Serena Sanna, Avan Aihie Sayer, Paul Scheet, Udo Seedorf, Stephen J Sharp, Beverley Shields, Eric J G Sijbrands, Angela Silveira, Laila Simpson, Andrew Singleton, Nicholas L Smith, Ulla Sovio, Amy Swift, Holly Syddall, Ann-Christine Syvänen, Toshiko Tanaka, Anke Tönjes, André G Uitterlinden, Ko Willems van Dijk, Dhiraj Varma, Sophie Visvikis-Siest, Veronique Vitart, Nicole Vogelzangs, Gérard Waeber, Peter J Wagner, Andrew Walley, Kim L Ward, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, Jaqueline C M Witteman, John W G Yarnell, Diana Zelenika, Björn Zethelius, Guangju Zhai, Jing Hua Zhao, M Carola Zillikens, Ingrid B Borecki, Ruth J F Loos, Pierre Meneton, Patrik K E Magnusson, David M Nathan, Gordon H Williams, Kaisa Silander, Veikko Salomaa, George Davey Smith, Stefan R Bornstein, Peter Schwarz, Joachim Spranger, Fredrik Karpe, Alan R Shuldiner, Cyrus Cooper, George V Dedoussis, Manuel Serrano-Ríos, Lars Lind, Lyle J Palmer, Paul W Franks, Shah Ebrahim, Michael Marmot, W H Linda Kao, Peter Paul Pramstaller, Alan F Wright, Michael Stumvoll, Anders Hamsten, Thomas A Buchanan, Timo T Valle, Jerome I Rotter, David S Siscovick, Brenda W J H Penninx, Dorret I Boomsma, Panos Deloukas, Timothy D Spector, Luigi Ferrucci, Antonio Cao, Angelo Scuteri, David Schlessinger, Manuela Uda, Aimo Ruokonen, Marjo-Riitta Jarvelin, Dawn M Waterworth, Peter Vollenweider, Leena Peltonen, Vincent Mooser, and Robert Sladek
Subjects: Medicine, Science
Abstract: African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P
Published: 2012
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22. Correction: Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria

Author: Benjamin M. Neale, Benjamin H. Mullin, Barbara Obermayer-Pietsch, Richard S. Legro, Joop S.E. Laven, Richa Saxena, Ken K. Ong, Scott Wilson, Jenny A. Visser, Alexander W. Drong, Tim D. Spector, Triin Laisk, Margrit Urbanek, Unnur Styrkarsdottir, Felix R. Day, John R. B. Perry, Juan Fernández-Tajes, Andres Salumets, Bronwyn G. A. Stuckey, Anubha Mahajan, Andrea Dunaif, Linda Broer, Marianne Andersen, Mark O. Goodarzi, Matthew Jones, Mark I. McCarthy, Steve Franks, Elisabet Stener-Victorin, Kari Stefansson, Lea K. Davis, Marjo-Riitta Järvelin, Verneri Anttila, Irina Kowalska, Laure Morin-Papunen, Bart C.J.M. Fauser, Reedik Mägi, Tugce Karaderi, Nan Lin, Geoffrey Hayes, Unnur Thorsteinsdottir, Gudmar Thorleifsson, Cindy Meun, Peter Kraft, Hongyan Huang, André G. Uitterlinden, Cecilia M. Lindgren, Corrine K. Welt, David A. Ehrmann, Chunyan He, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Day, Felix [0000-0003-3789-7651], Ong, Kenneth [0000-0003-4689-7530], Perry, John [0000-0001-6483-3771], Apollo - University of Cambridge Repository, Medical Research Council (MRC), Genesis Research Trust, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Obstetrics & Gynecology, Internal Medicine, and 'European Union (EU)' and 'Horizon 2020'
Subjects: endocrine system diseases, Genome-wide association study, Body Mass Index, 0302 clinical medicine, Human genetics, Glucose homeostasis, Polycystic ovary syndrome, Body mass index, Genetics & Heredity, 0303 health sciences, 030219 obstetrics & reproductive medicine, Statistics, 1184 Genetics, developmental biology, physiology, WOMEN, Genomics, ASSOCIATION, female genital diseases and pregnancy complications, 3. Good health, Phenotypes, Oncology, Physical Sciences, Medical genetics, Polycystic Ovary Syndrome, medicine.medical_specialty, Genetic loci, SYNDROME PCOS, White People, 03 medical and health sciences, Asian People, Genome-Wide Association Studies, Genetics, Humans, Statistical Methods, Molecular Biology, Ecology, Evolution, Behavior and Systematics, 0604 Genetics, Science & Technology, IDENTIFICATION, Hyperandrogenism, Correction, Biology and Life Sciences, Computational Biology, medicine.disease, 030104 developmental biology, Genetic Loci, Eggjastokkar, Case-Control Studies, Mathematics, Developmental Biology, 0301 basic medicine, Líkamsþyngdarstuðull, Linkage disequilibrium, Cancer Research, Physiology, Type 2 diabetes, QH426-470, Bioinformatics, Genome-wide association studies, Cohort Studies, Mathematical and Statistical Techniques, 3123 Gynaecology and paediatrics, Medicine and Health Sciences, Genetics of disease, Genetics (clinical), 2. Zero hunger, RISK, HYPERANDROGENEMIA, Metaanalysis, Polycystic ovary, Kvensjúkdómar, PREVALENCE, Phenotype, Physiological Parameters, Female, Life Sciences & Biomedicine, Research Article, SUSCEPTIBILITY LOCI, TWIN, Biology, Research and Analysis Methods, 23andMe Research Team, Insulin resistance, Mendelian randomization, medicine, Erfðafræði, Genetic Predisposition to Disease, 030304 developmental biology, business.industry, Body Weight, Cancers and Neoplasms, Human Genetics, Rannsóknir, Genome Analysis, Genetic architecture, Genetics of Disease, business, Gynecological Tumors, Genome-Wide Association Study
Abstract: Publisher's version (útgefin grein), Polycystic ovary syndrome (PCOS) is a disorder characterized by hyperandrogenism, ovulatory dysfunction and polycystic ovarian morphology. Affected women frequently have metabolic disturbances including insulin resistance and dysregulation of glucose homeostasis. PCOS is diagnosed with two different sets of diagnostic criteria, resulting in a phenotypic spectrum of PCOS cases. The genetic similarities between cases diagnosed based on the two criteria have been largely unknown. Previous studies in Chinese and European subjects have identified 16 loci associated with risk of PCOS. We report a fixed-effect, inverse-weighted-variance meta-analysis from 10,074 PCOS cases and 103,164 controls of European ancestry and characterisation of PCOS related traits. We identified 3 novel loci (near PLGRKT, ZBTB16 and MAPRE1), and provide replication of 11 previously reported loci. Only one locus differed significantly in its association by diagnostic criteria; otherwise the genetic architecture was similar between PCOS diagnosed by self-report and PCOS diagnosed by NIH or non-NIH Rotterdam criteria across common variants at 13 loci. Identified variants were associated with hyperandrogenism, gonadotropin regulation and testosterone levels in affected women. Linkage disequilibrium score regression analysis revealed genetic correlations with obesity, fasting insulin, type 2 diabetes, lipid levels and coronary artery disease, indicating shared genetic architecture between metabolic traits and PCOS. Mendelian randomization analyses suggested variants associated with body mass index, fasting insulin, menopause timing, depression and male-pattern balding play a causal role in PCOS. The data thus demonstrate 3 novel loci associated with PCOS and similar genetic architecture for all diagnostic criteria. The data also provide the first genetic evidence for a male phenotype for PCOS and a causal link to depression, a previously hypothesized comorbid disease. Thus, the genetics provide a comprehensive view of PCOS that encompasses multiple diagnostic criteria, gender, reproductive potential and mental health., This work has been supported by MRC grant MC_U106179472 (FD, KO, JRBP), Samuel Oschin Comprehensive Cancer Institute Developmental Funds, Center for Bioinformatics and Functional Genomics and Department of Biomedical Sciences Developmental Funds (MRJ), NCI P30CA177558 (CH), NCI UM1CA186107 (PK), European Regional Development Fund (Project No. 2014-2020.4.01.15-0012) and the European Union’s Horizon 2020 research and innovation program under grant agreements No 692065 (TL, RM, AS) and 692145 (RM), NICHD R01HD065029 (RS), Estonian Ministry of Education and Research (grant IUT34-16 to TL), NICHD R01HD057450 (MU), NICHD P50HD044405 (AD), NICHD R01HD057223 (AD), R01HD085227 (MGH, AD), deCode Genetics (GT, UT, KS, US), Raine Medical Research Foundation Priming Grant (BHM), SCGOPHCG RAC 2015-16/034 (SGW, BGAS), 2016-17/018 (BGAS), NIHR BRC, Wellcome Trust, MRC (TDS), Eris M. Field Chair in Diabetes Research (MOG), NIDDK P30 DK063491 (MOG), NIDDK U01DK094431, U01DK048381 (DE), NICHD U10HD38992 (RL), Estonian Ministry of Education and Research (grant IUT34-16), Enterprise Estonia (grant EU48695); the EU-FP7 Marie Curie Industry-Academia Partnerships and Pathways (IAPP, grant SARM, EU324509 to AS), Wellcome (090532, 098381, 203141); European Commission (ENGAGE: HEALTH-F4-2007-201413 to MIM), MRC G0802782, MR/M012638/1 (SF), Li Ka Shing Foundation, WT-SSI/John Fell Funds, NIHR Biomedical Research Centre, Oxford, Widenlife and NICHD 5P50HD028138-27 (CML), NICHD R01HD065029, ADA 1-10-CT-57, Harvard Clinical and Translational Science Center, from the National Center for Research Resources 1UL1 RR025758 (CKW). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Published: 2019

23. Elucidating the genetic basis of social interaction and isolation

Author: Felix R. Day, Ken K. Ong, John R. B. Perry, Day, Felix R [0000-0003-3789-7651], Ong, Ken K [0000-0003-4689-7530], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Adult, Male, Science, General Physics and Astronomy, Genome-wide association study, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Interpersonal relationship, 0302 clinical medicine, Risk Factors, medicine, Humans, Emotional expression, Interpersonal Relations, Social isolation, Multidisciplinary, Depression, Genome, Human, Loneliness, General Chemistry, Genomics, Biobank, Social relation, 030104 developmental biology, Trait, Female, medicine.symptom, Psychology, 030217 neurology & neurosurgery, Clinical psychology, Genome-Wide Association Study
Abstract: The negative impacts of social isolation and loneliness on health are well documented. However, little is known about their possible biological determinants. In up to 452,302 UK Biobank study participants, we perform genome-wide association study analyses for loneliness and regular participation in social activities. We identify 15 genomic loci (P −8) for loneliness, and demonstrate a likely causal association between adiposity and increased susceptibility to loneliness and depressive symptoms. Further loci were identified for regular attendance at a sports club or gym (N = 6 loci), pub or social club (N = 13) or religious group (N = 18). Across these traits there was strong enrichment for genes expressed in brain regions that control emotional expression and behaviour. We demonstrate aetiological mechanisms specific to each trait, in addition to identifying loci that are pleiotropic across multiple complex traits. Further study of these traits may identify novel modifiable risk factors associated with social withdrawal and isolation.
Published: 2018

24. GWAS of mosaic loss of chromosome Y highlights genetic effects on blood cell differentiation

Author: Hiroki Sugishita, Po-Ru Loh, Eiryo Kawakami, Chikashi Terao, Yoichiro Kamatani, Kazuyoshi Ishigaki, Yukihide Momozawa, John R. B. Perry, Giulio Genovese, Yoshinori Murakami, Makoto Hirata, Tazro Ohta, Michiaki Kubo, Masato Akiyama, Koichi Matsuda, Terao, Chikashi [0000-0002-6452-4095], Loh, Po-Ru [0000-0001-5542-9064], Ohta, Tazro [0000-0003-3777-5945], Hirata, Makoto [0000-0002-9994-9958], Matsuda, Koichi [0000-0001-7292-2686], Murakami, Yoshinori [0000-0002-2826-4396], Kamatani, Yoichiro [0000-0001-8748-5597], Apollo - University of Cambridge Repository, and Perry, John [0000-0001-6483-3771]
Subjects: Male, 0301 basic medicine, Erythrocytes, Physiology, 45/43, General Physics and Astronomy, Genome-wide association study, Genome-wide association studies, Cohort Studies, Blood cell, 0302 clinical medicine, Japan, 631/443, lcsh:Science, Aged, 80 and over, Genetics, Multidisciplinary, Mosaicism, article, Hematopoietic stem cell, Cell Differentiation, 3. Good health, Haematopoiesis, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Chromosome Deletion, Stem cell, Blood Platelets, Genotype, Science, 631/208/205/2138, Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Asian People, 631/208/2489/1381/1286, medicine, Humans, Genetic Predisposition to Disease, Aged, Chromosomes, Human, Y, 45, 631/443/7, Chromosome, General Chemistry, Hematopoietic Stem Cells, Aneuploidy, Genetic architecture, Ageing, 030104 developmental biology, Genetic marker, lcsh:Q, Genome-Wide Association Study
Abstract: Mosaic loss of chromosome Y (mLOY) is frequently observed in the leukocytes of ageing men. However, the genetic architecture and biological mechanisms underlying mLOY are not fully understood. In a cohort of 95,380 Japanese men, we identify 50 independent genetic markers in 46 loci associated with mLOY at a genome-wide significant level, 35 of which are unreported. Lead markers overlap enhancer marks in hematopoietic stem cells (HSCs, P ≤ 1.0 × 10−6). mLOY genome-wide association study signals exhibit polygenic architecture and demonstrate strong heritability enrichment in regions surrounding genes specifically expressed in multipotent progenitor (MPP) cells and HSCs (P ≤ 3.5 × 10−6). ChIP-seq data demonstrate that binding sites of FLI1, a fate-determining factor promoting HSC differentiation into platelets rather than red blood cells (RBCs), show a strong heritability enrichment (P = 1.5 × 10−6). Consistent with these findings, platelet and RBC counts are positively and negatively associated with mLOY, respectively. Collectively, our observations improve our understanding of the mechanisms underlying mLOY., Mosaic loss of chromosome Y (mLOY) is associated with age and smoking but also genetic factors play a role. Here, Terao et al. perform GWAS for mLOY in 95,380 Japanese men and identify 46 loci that overlap with hematopoietic stem cell enhancers and transcription factor binding sites critical for hematopoiesis.
Published: 2019

25. The CD94/NKG2A inhibitory receptor educates uterine NK cells to optimize pregnancy outcomes in humans and mice

Author: Amir Horowitz, Ulla Sovio, Hormas Ghadially, James A. Traherne, John G. Sled, Norman Shreeve, Francesco Colucci, Andrew M. Sharkey, Delphine M Depierreux, John R. B. Perry, Oisin Huhn, Jyothi Jayaraman, Ashley Moffett, and Delia A. Hawkes
Subjects: Male, 0301 basic medicine, Offspring, Placenta, Immunology, Human leukocyte antigen, Biology, Andrology, Mice, 03 medical and health sciences, 0302 clinical medicine, HLA-E, HLA Antigens, Pregnancy, medicine, Animals, Humans, Immunology and Allergy, Allele, Receptor, Fetus, Uterus, Pregnancy Outcome, medicine.disease, Killer Cells, Natural, Mice, Inbred C57BL, 030104 developmental biology, Infectious Diseases, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Female, NK Cell Lectin-Like Receptor Subfamily C, NK Cell Lectin-Like Receptor Subfamily D, Genome-Wide Association Study
Abstract: The conserved CD94/NKG2A inhibitory receptor is expressed by nearly all human and ∼50% of mouse uterine natural killer (uNK) cells. Binding human HLA-E and mouse Qa-1, NKG2A drives NK cell education, a process of unknown physiological importance influenced by HLA-B alleles. Here, we show that NKG2A genetic ablation in dams mated with wild-type males caused suboptimal maternal vascular responses in pregnancy, accompanied by perturbed placental gene expression, reduced fetal weight, greater rates of smaller fetuses with asymmetric growth, and abnormal brain development. These are features of the human syndrome pre-eclampsia. In a genome-wide association study of 7,219 pre-eclampsia cases, we found a 7% greater relative risk associated with the maternal HLA-B allele that does not favor NKG2A education. These results show that the maternal HLA-B→HLA-E→NKG2A pathway contributes to healthy pregnancy and may have repercussions on offspring health, thus establishing the physiological relevance for NK cell education. VIDEO ABSTRACT.
Published: 2021

26. Genome-wide association study meta-analysis for quantitative ultrasound parameters of bone identifies five novel loci for broadband ultrasound attenuation

Author: Scott Wilson, Suzanne J. Brown, Jing Hua Zhao, John P. Walsh, Jian'an Luan, Robert A. Scott, Hou-Feng Zheng, Frank Dudbridge, John R. B. Perry, J. Brent Richards, Nicholas J. Wareham, Claudia Langenberg, Benjamin H. Mullin, and Tim D. Spector
Subjects: Adult, Male, musculoskeletal diseases, 0301 basic medicine, Bone disease, Bone density, Osteoporosis, Population, 030209 endocrinology & metabolism, Genome-wide association study, Locus (genetics), Computational biology, Biology, Fractures, Bone, 03 medical and health sciences, Absorptiometry, Photon, 0302 clinical medicine, Bone Density, Genetics, medicine, Humans, education, Molecular Biology, Allele frequency, Genetics (clinical), Aged, Ultrasonography, Aged, 80 and over, Bone mineral, education.field_of_study, Association Studies Articles, General Medicine, Middle Aged, medicine.disease, Calcaneus, 030104 developmental biology, Female, Genome-Wide Association Study
Abstract: Osteoporosis is a common and debilitating bone disease that is characterised by low bone mineral density, typically assessed using dual-energy X-ray absorptiometry. Quantitative ultrasound (QUS), commonly utilising the two parameters velocity of sound (VOS) and broadband ultrasound attenuation (BUA), is an alternative technology used to assess bone properties at peripheral skeletal sites. The genetic influence on the bone qualities assessed by QUS remains an under-studied area. We performed a comprehensive genome-wide association study (GWAS) including low-frequency variants (minor allele frequency ≥0.005) for BUA and VOS using a discovery population of individuals with whole-genome sequence (WGS) data from the UK10K project (n = 1268). These results were then meta-analysed with those from two deeply imputed GWAS replication cohorts (n = 1610 and 13 749). In the gender-combined analysis, we identified eight loci associated with BUA and five with VOS at the genome-wide significance level, including three novel loci for BUA at 8p23.1 (PPP1R3B), 11q23.1 (LOC387810) and 22q11.21 (SEPT5) (P = 2.4 × 10−8 to 1.6 × 10−9). Gene-based association testing in the gender-combined dataset revealed eight loci associated with BUA and seven with VOS after correction for multiple testing, with one novel locus for BUA at FAM167A (8p23.1) (P = 1.4 × 10−6). An additional novel locus for BUA was seen in the male-specific analysis at DEFB103B (8p23.1) (P = 1.8 × 10−6). Fracture analysis revealed significant associations between variation at the WNT16 and RSPO3 loci and fracture risk (P = 0.004 and 4.0 × 10−4, respectively). In conclusion, by performing a large GWAS meta-analysis for QUS parameters of bone using a combination of WGS and deeply imputed genotype data, we have identified five novel genetic loci associated with BUA.
Published: 2017

27. Elucidating the genetic architecture of reproductive ageing in the Japanese population

Author: Carlos A. Toro, Hollis Wright, Ken K. Ong, Felix R. Day, Kazuyoshi Ishigaki, Yoichiro Kamatani, Alejandro Lomniczi, Momoko Horikoshi, Masahiro Kanai, Michiaki Kubo, Masato Akiyama, Makoto Hirata, John R. B. Perry, Sergio R. Ojeda, Koichi Matsuda, Day, Felix R [0000-0003-3789-7651], Kamatani, Yoichiro [0000-0001-8748-5597], Matsuda, Koichi [0000-0001-7292-2686], Toro, Carlos A [0000-0002-7355-7534], Lomniczi, Alejandro [0000-0003-4535-0103], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Aging, General Physics and Astronomy, Population genetics, Reproductive ageing, Rats, Sprague-Dawley, 0302 clinical medicine, Gene Frequency, Japan, lcsh:Science, Child, Regulation of gene expression, education.field_of_study, Multidisciplinary, Age Factors, Gene Expression Regulation, Developmental, Middle Aged, Japanese population, Menopause, Models, Animal, Female, Adult, Adolescent, Science, Population, Hypothalamus, Biology, Article, General Biochemistry, Genetics and Molecular Biology, White People, 03 medical and health sciences, Asian People, Meta-Analysis as Topic, Genetic variation, medicine, Animals, Humans, education, Gene, Allele frequency, Menarche, Genetic Variation, General Chemistry, medicine.disease, Macaca mulatta, Genetic architecture, 030104 developmental biology, Genetic Loci, Evolutionary biology, lcsh:Q, 030217 neurology & neurosurgery
Abstract: Population studies elucidating the genetic architecture of reproductive ageing have been largely limited to European ancestries, restricting the generalizability of the findings and overlooking possible key genes poorly captured by common European genetic variation. Here, we report 26 loci (all P, The timing of female reproductive capacity is influenced by genetic and environmental factors. Here, in genome-wide association studies, the authors identify genetic loci for age at menarche and onset of menopause in Japanese women, and highlight differences with European populations.
Published: 2019

28. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

Author: David Torrents, Thorkild I. A. Sørensen, André G. Uitterlinden, Dorret I. Boomsma, Harry Campbell, Vasiliki Lagou, Joachim Heinrich, Anna Murray, Nicholas J. Timpson, George Dedoussis, Beverley M. Shields, Timo A. Lakka, Lawrence J. Beilin, Carmen J. Marsit, Katharina E. Schraut, Marie Standl, Torben Hansen, James F. Wilson, Jonas Bacelis, Allan Vaag, Louis J. Muglia, Wei Ang, Josep M. Mercader, Ruifang Li-Gao, Ying Wu, Jessica Tyrrell, Pål R. Njølstad, Mohammad Hadi Zafarmand, Marie-France Hivert, Ioanna Ntalla, Debbie A Lawlor, Martina Müller-Nurasyid, Alana Cavadino, Natalia Vilor-Tejedor, Andrew R. Wood, Zoltán Kutalik, Jodie N. Painter, Tanja G. M. Vrijkotte, Kyle J. Gaulton, Xavier Estivill, George Davey Smith, Christine Power, Andrew T. Hattersley, Berthold Hocher, Gibran Hemani, Sheila J. Barton, Aino-Maija Eloranta, Kathryn L. Lunetta, Kim F. Michaelsen, Frank Geller, Bjarke Feenstra, Carol A. Wang, Peter Vollenweider, Wieland Kiess, Anubha Mahajan, Elina Hyppönen, Elisabeth M. van Leeuwen, Felix R. Day, Natalie R. van Zuydam, Leda Chatzi, Bo L. Chawes, Antje Körner, Dennis O. Mook-Kanamori, Ken K. Ong, Joanne M. Murabito, David M. Hougaard, Jian'an Luan, Letizia Marullo, Catharina E. M. van Beijsterveldt, Yik Ying Teo, Andrew P. Morris, Sarah E. Medland, Juan Fernández-Tajes, Jouke-Jan Hottenga, Frits R. Rosendaal, Inga Prokopenko, Katja Pahkala, Struan F.A. Grant, Sylvain Sebert, Judith B. Borja, Camilla Schmidt Morgen, Charlotta Pisinger, Jia Chen, Øyvind Helgeland, Christian Theil Have, Vincent W. V. Jaddoe, Marjolein N. Kooijman, Mika Kähönen, Timothy M. Frayling, Diana L. Cousminer, Bo Jacobsson, Antoine H. C. van Kampen, Eco J. C. de Geus, Manolis Kogevinas, Rico Rueedi, Grant W. Montgomery, Raimo Joro, Craig E. Pennell, Jonathan P. Bradfield, Janine F. Felix, Ge Zhang, Loreto Santa-Marina, Kalliope Panoutsopoulou, John R. B. Perry, Jeff Murray, Albert Hofman, Terho Lehtimäki, John W. Holloway, Barbera D. C. van Schaik, Pedro Marques-Vidal, Ronny Myhre, Haja N. Kadarmideen, Robert A. Scott, Frank D. Mentch, Katherine S. Ruth, Hans Bisgaard, Marjo-Riitta Järvelin, Catherine Allard, Rachel M. Freathy, Julie A. Marsh, Mariona Bustamante, Elisabeth Thiering, Cæcilie Trier, Marcus A. Tuke, William L. Lowe, Elisabeth Widen, Caroline L Relton, Christoph Reichetzeder, Penelope A. Lind, M. Geoffrey Hayes, Charles Laurin, Tarunveer S. Ahluwalia, Meike Bartels, Mads Melbye, Claudia Langenberg, Ke Hao, Shouneng Peng, Nicholas J. Wareham, Susan M. Ring, Hamdi Mbarek, Mario Murcia, Jing Hua Zhao, Michael Nodzenski, Cornelia M. van Duijn, Hakon Hakonarson, Hanieh Yaghootkar, Po-Ru Loh, Linda S. Adair, Sílvia Bonàs-Guarch, Eleftheria Zeggini, Sarah Metrustry, Shikta Das, Gonneke Willemsen, Ana Espinosa, Lavinia Paternoster, Marc Vaudel, Theresia M. Schnurr, Michael Stumvoll, David M. Evans, Bridget A. Knight, Luigi Bouchard, Robin N Beaumont, Mustafa Atalay, Zhen Qiao, Denise M. Scholtens, Klaus Bønnelykke, Samuel E. Jones, Peter K. Joshi, Oluf Pedersen, Jin-Fang Chai, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Rebecca K. Vinding, Hazel Inskip, Sara M. Willems, Cilius Esmann Fonvig, Momoko Horikoshi, Ellen A. Nohr, Jani Heikkinen, Emil V. R. Appel, Niels Grarup, Michael N. Weedon, Rebecca C Richmond, Peter Kovacs, Jorma Viikari, Amanda J. Bennett, Jens-Christian Holm, Carolina Medina-Gomez, Nicole M. Warrington, Anke Tönjes, Jakob Stokholm, Hugoline G. de Haan, Seang-Mei Saw, Ville Huikari, N. William Rayner, Johan G. Eriksson, Niina Pitkänen, Allan Linneberg, Gunn-Helen Moen, Olli T. Raitakari, Martine Vrijheid, Neil Robertson, Stefan Johansson, Tim D. Spector, Friman Sánchez, Mark I. McCarthy, Harri Niinikoski, Karen L. Mohlke, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Warrington, Nicole M, Beaumont, Robin N, Horikoshi, Momoko, Day, Felix R, Hypponen, E, Freathy, RM, EGG consortium, Medical and Clinical Psychology, University of Helsinki, Johan Eriksson / Principal Investigator, University of Helsinki, Institute for Molecular Medicine Finland, Warrington, Nicole M [0000-0003-4195-775X], Beaumont, Robin N [0000-0003-0750-8248], Day, Felix R [0000-0003-3789-7651], Helgeland, Øyvind [0000-0002-5612-2985], Laurin, Charles [0000-0003-2439-9004], Bacelis, Jonas [0000-0002-2450-732X], Feenstra, Bjarke [0000-0003-1478-649X], Mahajan, Anubha [0000-0001-5585-3420], Moen, Gunn-Helen [0000-0002-8768-0904], Schnurr, Theresia M [0000-0002-6573-4959], Grarup, Niels [0000-0001-5526-1070], Paternoster, Lavinia [0000-0003-2514-0889], Rueedi, Rico [0000-0002-6713-2214], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Metrustry, Sarah [0000-0003-2028-7486], Wang, Carol A [0000-0002-4301-3974], Joshi, Peter K [0000-0002-6361-5059], Pitkänen, Niina [0000-0001-7383-4987], Richmond, Rebecca C [0000-0003-0574-5071], Inskip, Hazel M [0000-0001-8897-1749], Holloway, John W [0000-0001-9998-0464], Estivill, Xavier [0000-0002-0723-2256], Hocher, Berthold [0000-0001-8143-0579], Lunetta, Kathryn L [0000-0002-9268-810X], Allard, Catherine [0000-0002-8829-4984], Muglia, Louis J [0000-0002-0301-8770], van Kampen, Antoine HC [0000-0003-1025-7232], van Schaik, Barbera DC [0000-0002-5568-8127], Langenberg, Claudia [0000-0002-5017-7344], Hemani, Gibran [0000-0003-0920-1055], Gaulton, Kyle J [0000-0003-1318-7161], Medina-Gomez, Carolina [0000-0001-7999-5538], Kutalik, Zoltán [0000-0001-8285-7523], Marques-Vidal, Pedro [0000-0002-4548-8500], Mbarek, Hamdi [0000-0002-1108-0371], Müller-Nurasyid, Martina [0000-0003-3793-5910], Appel, Emil VR [0000-0001-7704-6611], Fonvig, Cilius E [0000-0002-5031-0125], Hougaard, David M [0000-0001-5928-3517], Mercader, Josep M [0000-0001-8494-3660], Linneberg, Allan [0000-0002-0994-0184], Lind, Penelope A [0000-0002-3887-2598], Medland, Sarah E [0000-0003-1382-380X], Bartels, Meike [0000-0002-9667-7555], Stokholm, Jakob [0000-0003-4989-9769], Chawes, Bo L [0000-0001-6846-6243], Kovacs, Peter [0000-0002-0290-5423], Prokopenko, Inga [0000-0003-1624-7457], Tuke, Marcus A [0000-0003-0008-9263], Ruth, Katherine S [0000-0003-4966-9170], Jones, Samuel E [0000-0003-0153-922X], Zeggini, Eleftheria [0000-0003-4238-659X], Wilson, James F [0000-0001-5751-9178], Vrijkotte, Tanja GM [0000-0003-3641-4048], de Geus, Eco JCN [0000-0001-6022-2666], Kadarmideen, Haja N [0000-0001-6294-382X], Mohlke, Karen L [0000-0001-6721-153X], Sørensen, Thorkild IA [0000-0003-4821-430X], Bisgaard, Hans [0000-0003-4131-7592], Bønnelykke, Klaus [0000-0003-2003-1018], Melbye, Mads [0000-0001-8264-6785], Rivadeneira, Fernando [0000-0001-9435-9441], Felix, Janine F [0000-0002-9801-5774], Jaddoe, Vincent WV [0000-0003-2939-0041], Hansen, Torben [0000-0001-8748-3831], Hyppönen, Elina [0000-0003-3670-9399], Davey Smith, George [0000-0002-1407-8314], Morris, Andrew P [0000-0002-6805-6014], Hakonarson, Hakon [0000-0003-2814-7461], Grant, Struan FA [0000-0003-2025-5302], Lawlor, Debbie A [0000-0002-6793-2262], Njølstad, Pål R [0000-0003-0304-6728], Ong, Ken K [0000-0003-4689-7530], McCarthy, Mark I [0000-0002-4393-0510], Evans, David M [0000-0003-0663-4621], Freathy, Rachel M [0000-0003-4152-2238], Apollo - University of Cambridge Repository, Department of Medical and Clinical Genetics, Institute for Molecular Medicine Finland, Neuroscience Center, Doctoral Programme Brain & Mind, Ecology and Evolutionary Biology, University of Helsinki, Research Groups, Department of General Practice and Primary Health Care, Research Programs Unit, Diabetes and Obesity Research Program, Johan Eriksson / Principal Investigator, Doctoral Programme in Clinical Research, Doctoral Programme in Oral Sciences, Doctoral Programme in Population Health, Centre of Excellence in Complex Disease Genetics, Elisabeth Ingrid Maria Widen / Principal Investigator, Genomic Discoveries and Clinical Translation, University Management, Epidemiology, Erasmus MC other, Internal Medicine, Pediatrics, Epidemiology and Data Science, APH - Global Health, APH - Aging & Later Life, ACS - Atherosclerosis & ischemic syndromes, ARD - Amsterdam Reproduction and Development, Experimental Immunology, Public and occupational health, and AGEM - Amsterdam Gastroenterology Endocrinology Metabolism
Subjects: Male, Netherlands Twin Register (NTR), LD SCORE REGRESSION, Birth Weight/genetics, Physiology, Genome-wide association study, BLOOD-PRESSURE, Blood Pressure, Type 2 diabetes, DISEASE, Fetal Development, 0302 clinical medicine, Models, Pregnancy, Risk Factors, Genotype, Birth Weight, maternal genetic, 030212 general & internal medicine, Maternal-Fetal Exchange, 0303 health sciences, Body Height/genetics, 1184 Genetics, developmental biology, physiology, Heart Diseases/etiology, Single Nucleotide, ASSOCIATION, Metabolic Diseases/etiology, 3. Good health, Type 2/etiology, MENDELIAN RANDOMIZATION, GROWTH, Female, Maternal Inheritance, Maternal Inheritance/genetics, Adult, Blood Pressure/genetics, Heart Diseases, Offspring, Birth weight, cardio-metabolic health outcomes, Biology, Diabetes Mellitus, Type 2/etiology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Genetic, Metabolic Diseases, SDG 3 - Good Health and Well-being, Diabetes mellitus, Mendelian randomization, Genetics, medicine, Diabetes Mellitus, Humans, Genetic Predisposition to Disease, Polymorphism, 030304 developmental biology, Glycemic, Fetus, IDENTIFICATION, Models, Genetic, Infant, Newborn, Infant, birth weight, DIABETES-MELLITUS, medicine.disease, Newborn, Fetal Development/genetics, Body Height, Maternal-Fetal Exchange/genetics, LIFE, Blood pressure, Diabetes Mellitus, Type 2, ORIGINS, Institut für Ernährungswissenschaft, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Birth weight (BW) variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. These associations have been proposed to reflect the lifelong consequences of an adverse intrauterine environment. In earlier work, we demonstrated that much of the negative correlation between BW and adult cardio-metabolic traits could instead be attributable to shared genetic effects. However, that work and other previous studies did not systematically distinguish the direct effects of an individual’s own genotype on BW and subsequent disease risk from indirect effects of their mother’s correlated genotype, mediated by the intrauterine environment. Here, we describe expanded genome-wide association analyses of own BW (n=321,223) and offspring BW (n=230,069 mothers), which identified 278 independent association signals influencing BW (214 novel). We used structural equation modelling to decompose the contributions of direct fetal and indirect maternal genetic influences on BW, implicating fetal- and maternal-specific mechanisms. We used Mendelian randomization to explore the causal relationships between factors influencing BW through fetal or maternal routes, for example, glycemic traits and blood pressure. Direct fetal genotype effects dominate the shared genetic contribution to the association between lower BW and higher type 2 diabetes risk, whereas the relationship between lower BW and higher later blood pressure (BP) is driven by a combination of indirect maternal and direct fetal genetic effects: indirect effects of maternal BP-raising genotypes act to reduce offspring BW, but only direct fetal genotype effects (once inherited) increase the offspring’s later BP. Instrumental variable analysis using maternal BW-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring BP. In successfully separating fetal from maternal genetic effects, this work represents an important advance in genetic studies of perinatal outcomes, and shows that the association between lower BW and higher adult BP is attributable to genetic effects, and not to intrauterine programming.
Published: 2019

29. Author correction: GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia liability

Author: Matthijs D. van der Zee, Albertine J. Oldehinkel, Jue-Sheng Ong, Bart M. L. Baselmans, Dorret I. Boomsma, Jordana T. Bell, Josep Antoni Ramos-Quiroga, Andrew C. Heath, Jaakko Kaprio, Zdenka Pausova, Nicholas G. Martin, Hill F. Ip, Karin J. H. Verweij, Michel G. Nivard, Jaime Derringer, Sarah L. Elson, Marco P. Boks, Marta Ribasés, Tim D. Spector, John R. B. Perry, Pamela A. F. Madden, Catharina A. Hartman, Felix R. Day, Jacqueline M. Vink, Abraham A. Palmer, Susan Branje, Pol A. C. van Lier, Tomáš Paus, Pierre Fontanillas, Wim Meeus, Reedik Mägi, Grant W. Montgomery, Joëlle A. Pasman, Joel Gelernter, Lea K. Davis, Sven Stringer, James MacKillop, Meike Bartels, Nathan A. Gillespie, Danielle Posthuma, Eske M. Derks, Jorien L. Treur, Stuart MacGregor, Harriet de Wit, Zachary Gerring, Sandra Sanchez-Roige, Abdel Abdellaoui, and Marcus R. Munafò
Subjects: 0301 basic medicine, medicine.medical_specialty, Schizophrenia (object-oriented programming), Genome-wide association study, 23andMe Research Team, behavioral disciplines and activities, Substance Misuse, 03 medical and health sciences, 0302 clinical medicine, mental disorders, Genetics, medicine, International Cannabis Consortium, 2.1 Biological and endogenous factors, Psychology, Aetiology, Psychiatry, Neurology & Neurosurgery, General Neuroscience, Human Genome, Liability, Causal effect, Neurosciences, Cannabis use, Serious Mental Illness, Brain Disorders, Mental Health, 030104 developmental biology, Schizophrenia, Substance Use Disorders Working Group of the Psychiatric Genomics Consortium, Cognitive Sciences, Drug Abuse (NIDA only), Developmental Psychopathology, 030217 neurology & neurosurgery
Abstract: Item does not contain fulltext Several occurrences of the word 'schizophrenia' have been re-worded as 'liability to schizophrenia' or 'schizophrenia risk', including in the title, which should have been "GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability", as well as in Supplementary Figures 1-10 and Supplementary Tables 7-10, to more accurately reflect the findings of the work. 1 p.
Published: 2019

30. Association of genetic variants related to gluteofemoral vs abdominal fat distribution With type 2 diabetes, coronary disease, and cardiovascular risk factors

Author: Laura B. L. Wittemans, Nicholas J. Wareham, Kay-Tee Khaw, Stephen J. Sharp, David B. Savage, Claudia Langenberg, Luca A. Lotta, Lina Cai, Stephen Burgess, Felix R. Day, Stephen O'Rahilly, Emanuella De Lucia Rolfe, Verena Zuber, Jian'an Luan, Robert A. Scott, John R. B. Perry, Chen Li, Isobel D. Stewart, Nicholas Bowker, Wittemans, Laura [0000-0001-6588-938X], Zuber, Verena [0000-0001-9827-1877], Sharp, Stephen [0000-0003-2375-1440], Luan, Jian'an [0000-0003-3137-6337], Day, Felix [0000-0003-3789-7651], Li, Chen [0000-0002-6423-6325], Bowker, Nicholas [0000-0002-8794-894X], Cai, Lina [0000-0003-2598-8388], De Lucia Rolfe, Emanuella [0000-0003-3542-2767], Perry, John [0000-0001-6483-3771], O'Rahilly, Stephen [0000-0003-2199-4449], Savage, David [0000-0002-7857-7032], Burgess, Stephen [0000-0001-5365-8760], Wareham, Nicholas [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Male, endocrine system diseases, Coronary Disease, Type 2 diabetes, Body Mass Index, 0302 clinical medicine, Waist–hip ratio, Risk Factors, Medicine, Original Investigation, Adiposity, education.field_of_study, INSULIN-RESISTANCE, Absolute risk reduction, General Medicine, 11 Medical And Health Sciences, Middle Aged, INSIGHTS, ADIPOSE-TISSUE, DIFFERENTIATION, Cardiovascular Diseases, MENDELIAN RANDOMIZATION, Female, Life Sciences & Biomedicine, medicine.medical_specialty, Waist, Population, Abdominal Fat, 030209 endocrinology & metabolism, TO-HIP RATIO, 03 medical and health sciences, Medicine, General & Internal, Internal medicine, Diabetes mellitus, General & Internal Medicine, GLYCEMIC TRAITS, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, education, METAANALYSIS, Science & Technology, HYPERTENSION, business.industry, Waist-Hip Ratio, nutritional and metabolic diseases, Genetic Variation, Odds ratio, medicine.disease, 030104 developmental biology, Diabetes Mellitus, Type 2, business, Body mass index, Genome-Wide Association Study
Abstract: IMPORTANCE: Body fat distribution, usually measured using waist-to-hip ratio (WHR), is an important contributor to cardiometabolic disease independent of body mass index (BMI). Whether mechanisms that increase WHR via lower gluteofemoral (hip) or via higher abdominal (waist) fat distribution affect cardiometabolic risk is unknown. OBJECTIVE: To identify genetic variants associated with higher WHR specifically via lower gluteofemoral or higher abdominal fat distribution and estimate their association with cardiometabolic risk. DESIGN, SETTING, AND PARTICIPANTS: Genome-wide association studies (GWAS) for WHR combined data from the UK Biobank cohort and summary statistics from previous GWAS (data collection: 2006-2018). Specific polygenic scores for higher WHR via lower gluteofemoral or via higher abdominal fat distribution were derived using WHR-associated genetic variants showing specific association with hip or waist circumference. Associations of polygenic scores with outcomes were estimated in 3 population-based cohorts, a case-cohort study, and summary statistics from 6 GWAS (data collection: 1991-2018). EXPOSURES: More than 2.4 million common genetic variants (GWAS); polygenic scores for higher WHR (follow-up analyses). MAIN OUTCOMES AND MEASURES: BMI-adjusted WHR and unadjusted WHR (GWAS); compartmental fat mass measured by dual-energy x-ray absorptiometry, systolic and diastolic blood pressure, low-density lipoprotein cholesterol, triglycerides, fasting glucose, fasting insulin, type 2 diabetes, and coronary disease risk (follow-up analyses). RESULTS: Among 452 302 UK Biobank participants of European ancestry, the mean (SD) age was 57 (8) years and the mean (SD) WHR was 0.87 (0.09). In genome-wide analyses, 202 independent genetic variants were associated with higher BMI-adjusted WHR (n = 660 648) and unadjusted WHR (n = 663 598). In dual-energy x-ray absorptiometry analyses (n = 18 330), the hip- and waist-specific polygenic scores for higher WHR were specifically associated with lower gluteofemoral and higher abdominal fat, respectively. In follow-up analyses (n = 636 607), both polygenic scores were associated with higher blood pressure and triglyceride levels and higher risk of diabetes (waist-specific score: odds ratio [OR], 1.57 [95% CI, 1.34-1.83], absolute risk increase per 1000 participant-years [ARI], 4.4 [95% CI, 2.7-6.5], P < .001; hip-specific score: OR, 2.54 [95% CI, 2.17-2.96], ARI, 12.0 [95% CI, 9.1-15.3], P < .001) and coronary disease (waist-specific score: OR, 1.60 [95% CI, 1.39-1.84], ARI, 2.3 [95% CI, 1.5-3.3], P < .001; hip-specific score: OR, 1.76 [95% CI, 1.53-2.02], ARI, 3.0 [95% CI, 2.1-4.0], P < .001), per 1-SD increase in BMI-adjusted WHR. CONCLUSIONS AND RELEVANCE: Distinct genetic mechanisms may be linked to gluteofemoral and abdominal fat distribution that are the basis for the calculation of the WHR. These findings may improve risk assessment and treatment of diabetes and coronary disease.
Published: 2018

31. Association of Genetically Enhanced Lipoprotein Lipase-Mediated Lipolysis and Low-Density Lipoprotein Cholesterol-Lowering Alleles With Risk of Coronary Disease and Type 2 Diabetes

Author: Laura B. L. Wittemans, Mark I. McCarthy, Luca A. Lotta, John R. B. Perry, Jian'an Luan, Robert A. Scott, Felix R. Day, Stephen O'Rahilly, David B. Savage, Claudia Langenberg, Chen Li, Nicholas J. Wareham, Isobel D. Stewart, Nicola D. Kerrison, Stephen J. Sharp, Nicholas Bowker, Kay-Tee Khaw, Lina Cai, Stephen Burgess, Sharp, Stephen [0000-0003-2375-1440], Day, Felix [0000-0003-3789-7651], Burgess, Stephen [0000-0001-5365-8760], Luan, Jian'an [0000-0003-3137-6337], Bowker, Nicholas [0000-0002-8794-894X], Cai, Lina [0000-0003-2598-8388], Li, Chen [0000-0002-6423-6325], Wittemans, Laura [0000-0001-6588-938X], Khaw, Kay-Tee [0000-0002-8802-2903], O'Rahilly, Stephen [0000-0003-2199-4449], Savage, David [0000-0002-7857-7032], Perry, John [0000-0001-6483-3771], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Oncology, Male, medicine.medical_specialty, Diabetes risk, Lipolysis, Population, Genome-wide association study, Type 2 diabetes, Coronary Artery Disease, 030204 cardiovascular system & hematology, Article, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Diabetes mellitus, medicine, Odds Ratio, Angiopoietin-Like Protein 4, Humans, Genetic Predisposition to Disease, education, Alleles, Genetic Association Studies, Aged, 2. Zero hunger, education.field_of_study, business.industry, PCSK9, Membrane Proteins, Membrane Transport Proteins, Odds ratio, Cholesterol, LDL, Mendelian Randomization Analysis, Middle Aged, medicine.disease, 3. Good health, Lipoprotein Lipase, 030104 developmental biology, Diabetes Mellitus, Type 2, lipids (amino acids, peptides, and proteins), Female, Hydroxymethylglutaryl CoA Reductases, Proprotein Convertase 9, Cardiology and Cardiovascular Medicine, business
Abstract: Importance Pharmacological enhancers of lipoprotein lipase (LPL) are in preclinical or early clinical development for cardiovascular prevention. Studying whether these agents will reduce cardiovascular events or diabetes risk when added to existing lipid-lowering drugs would require large outcome trials. Human genetics studies can help prioritize or deprioritize these resource-demanding endeavors. Objective To investigate the independent and combined associations of genetically determined differences in LPL-mediated lipolysis and low-density lipoprotein cholesterol (LDL-C) metabolism with risk of coronary disease and diabetes. Design, Setting, and Participants In this genetic association study, individual-level genetic data from 392 220 participants from 2 population-based cohort studies and 1 case-cohort study conducted in Europe were included. Data were collected from January 1991 to July 2018, and data were analyzed from July 2014 to July 2018. Exposures Six conditionally independent triglyceride-lowering alleles in LPL, the p.Glu40Lys variant in ANGPTL4, rare loss-of-function variants in ANGPTL3, and LDL-C–lowering polymorphisms at 58 independent genomic regions, including HMGCR, NPC1L1, and PCSK9. Main Outcomes and Measures Odds ratio for coronary artery disease and type 2 diabetes. Results Of the 392 220 participants included, 211 915 (54.0%) were female, and the mean (SD) age was 57 (8) years. Triglyceride-lowering alleles in LPL were associated with protection from coronary disease (approximately 40% lower odds per SD of genetically lower triglycerides) and type 2 diabetes (approximately 30% lower odds) in people above or below the median of the population distribution of LDL-C–lowering alleles at 58 independent genomic regions, HMGCR, NPC1L1, or PCSK9. Associations with lower risk were consistent in quintiles of the distribution of LDL-C–lowering alleles and 2 × 2 factorial genetic analyses. The 40Lys variant in ANGPTL4 was associated with protection from coronary disease and type 2 diabetes in groups with genetically higher or lower LDL-C. For a genetic difference of 0.23 SDs in LDL-C, ANGPTL3 loss-of-function variants, which also have beneficial associations with LPL lipolysis, were associated with greater protection against coronary disease than other LDL-C–lowering genetic mechanisms (ANGPTL3 loss-of-function variants: odds ratio, 0.66; 95% CI, 0.52-0.83; 58 LDL-C–lowering variants: odds ratio, 0.90; 95% CI, 0.89-0.91; P for heterogeneity = .009). Conclusions and Relevance Triglyceride-lowering alleles in the LPL pathway are associated with lower risk of coronary disease and type 2 diabetes independently of LDL-C–lowering genetic mechanisms. These findings provide human genetics evidence to support the development of agents that enhance LPL-mediated lipolysis for further clinical benefit in addition to LDL-C–lowering therapy.
Published: 2018

32. Elucidating the genetic architecture underlying IGF1 levels and its impact on genomic instability and cancer risk

Author: Nicholas J. Wareham, John R. B. Perry, Yajie Zhao, Stasa Stankovic, Claudia Langenberg, Ken K. Ong, and Felix R. Day
Subjects: 0301 basic medicine, Oncology, medicine.medical_specialty, Confounding, Medicine (miscellaneous), Cancer, Genome-wide association study, Biology, medicine.disease, medicine.disease_cause, General Biochemistry, Genetics and Molecular Biology, 3. Good health, Malignant transformation, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Breast cancer, 030220 oncology & carcinogenesis, Internal medicine, Mendelian randomization, medicine, Biomarker (medicine), Carcinogenesis
Abstract: Background: Insulin-like growth factor-1 (IGF1) has been implicated in mitogenic and anti-apoptotic mechanisms that promote susceptibility to cancer development and growth. Previous epidemiological studies have described phenotypic associations between higher circulating levels of IGF1 in adults with higher risks for breast, prostate, ovarian, colorectal, melanoma and lung cancers. However, such evidence is prone to confounding and reverse causality. Furthermore, it is unclear whether IGF1 promotes only the survival and proliferation of cancerous cells, or also the malignant transformation of healthy cells. Methods: We perform a genome-wide association study in 428,525 white European ancestry individuals in the UK Biobank study (UKBB) and identify 831 independent genetic determinants of circulating IGF1 levels, double the number previously reported. Results: Collectively these signals explain ~7.5% of the variance in circulating IGF1 levels in EPIC-Norfolk, with individuals in the highest 10% of genetic risk exhibiting ~1 SD higher levels than those in the lowest 10%. Using a Mendelian randomization approach, we demonstrate that genetically higher circulating IGF1 levels are associated with greater likelihood of mosaic loss of chromosome Y in leukocytes in men in UKBB (OR per +1 SD = 1.038 (95% CI: 1.010-1.067), P=0.008) and 23andMe, Inc. (P=6.8×10-05), a biomarker of genomic instability involved in early tumorigenesis. Genetically higher IGF1 is also associated with higher risks for colorectal (OR = 1.126 (1.048-1.210), P=1.3×10-03) and breast cancer (OR= 1.075 (1.048-1.103), P=3.9×10-08), with similar effects on estrogen positive (ER+) (OR = 1.069 (1.037-1.102), P=2.3×10-05) and estrogen negative (ER-) (OR = 1.074 (1.025-1.125), P=3.9×10-08) subtypes. Conclusions: These findings give an insight into the genetic regulation of circulating IGF1 levels and support a causal role for IGF1 in early tumorigenesis and risks for breast and colorectal cancers.
Published: 2021

33. Molecular insights into the aetiology of female reproductive ageing

Author: Felix R. Day, Ken K. Ong, John R. B. Perry, and Anna Murray
Subjects: Adult, Aging, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, media_common.quotation_subject, Fertility, Disease, Reproductive Physiological Phenomena, Biology, Bioinformatics, Article, Endocrinology, Pregnancy, medicine, Humans, Sexual Maturation, media_common, Genetics, Puberty, Middle Aged, medicine.disease, Menopause, Ageing, Menarche, Medical genetics, Female
Abstract: As age at pubertal onset declines and age at first pregnancy increases, the mechanisms that regulate female reproductive lifespan become increasingly relevant to population health. The timing of menarche and menopause can have profound effects not only on fertility but also on the risk of diseases such as type 2 diabetes mellitus, cardiovascular disease and breast cancer. Genetic studies have identified dozens of highly penetrant rare mutations associated with reproductive disorders, and also ∼175 common genetic variants associated with the timing of puberty or menopause. These findings, alongside other functional studies, have highlighted a diverse range of mechanisms involved in reproductive ageing, implicating core biological processes such as cell cycle regulation and energy homeostasis. The aim of this article is to review the contribution of such genetic findings to our understanding of the molecular regulation of reproductive timing, as well as the biological basis of the epidemiological links between reproductive ageing and disease risk.
Published: 2015

34. Genetic analysis reveals role of testosterone levels in human disease

Author: Claudia Langenberg, Benjamin Hollis, Jessica Tyrrell, Robin N Beaumont, Laura B. L. Wittemans, Douglas F. Easton, John R. B. Perry, Mark I. McCarthy, Felix R. Day, Tracy A. O'Mara, Anubha Mahajan, Stephen Burgess, A. Mesut Erzurumluoglu, Timothy M. Frayling, Nicholas J. Wareham, Alexander S Busch, Katherine S. Ruth, Anna Murray, Ken K. Ong, Andrew R. Wood, Deborah J. Thompson, and Susan Martin
Subjects: 0301 basic medicine, Male, Endocrinology, Diabetes and Metabolism, Physiology, Type 2 diabetes, Disease, Bioinformatics, Genetic analysis, 0302 clinical medicine, Sex hormone-binding globulin, Endocrinology, Human disease, Odds Ratio, Cluster Analysis, Testosterone, Biological Specimen Banks, Estradiol, biology, medicine.diagnostic_test, General Medicine, Polycystic ovary, Phenotype, 030220 oncology & carcinogenesis, Body Composition, Female, Polycystic Ovary Syndrome, Genotype, MEDLINE, Breast Neoplasms, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Sex Factors, medicine, Humans, Genetic Testing, Genetic testing, business.industry, Prostatic Neoplasms, Human Genetics, Testosterone (patch), Odds ratio, Mendelian Randomization Analysis, medicine.disease, United Kingdom, Human genetics, Endometrial Neoplasms, 030104 developmental biology, Diabetes Mellitus, Type 2, Haplotypes, biology.protein, Metabolic syndrome, Sexual function, business, Biomarkers, Software, Genome-Wide Association Study
Abstract: Testosterone supplementation is commonly used for its effects on sexual function, bone health and body composition, yet its effects on disease outcomes are unknown. To better understand this, we identified genetic determinants of testosterone levels and related sex hormone traits in 425,097 UK Biobank study participants. Using 2,571 genome-wide significant associations, we demonstrate that the genetic determinants of testosterone levels are substantially different between sexes and that genetically higher testosterone is harmful for metabolic diseases in women but beneficial in men. For example, a genetically determined 1 s.d. higher testosterone increases the risks of type 2 diabetes (odds ratio (OR) = 1.37 (95% confidence interval (95% CI): 1.22–1.53)) and polycystic ovary syndrome (OR = 1.51 (95% CI: 1.33–1.72)) in women, but reduces type 2 diabetes risk in men (OR = 0.86 (95% CI: 0.76–0.98)). We also show adverse effects of higher testosterone on breast and endometrial cancers in women and prostate cancer in men. Our findings provide insights into the disease impacts of testosterone and highlight the importance of sex-specific genetic analyses. Genetic analysis of data from over 400,000 participants in the UK Biobank Study shows that circulating testosterone levels have sex-specific implications for cardiometabolic diseases and cancer outcomes.
Published: 2020

35. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

Author: Alison Pattie, Ailith Pirie, Francis S. Collins, Charles Kooperberg, Nienke van Leeuwen, Carmel Moore, Sharon L.R. Kardia, Neil R. Robertson, Lisa Bastarache, Allan Linneberg, Peter T. Campbell, Helena Kuivaniemi, Struan F.A. Grant, Sascha Fauser, Sekar Kathiresan, Lars Lind, Erin B. Ware, Olli T. Raitakari, Dawn M. Waterworth, James G. Wilson, Markus Perola, Chris J. Packard, Michelle L. O'Donoghue, Fredrik Karpe, Roel A. Ophoff, Sailaja Vedantam, Artitaya Lophatananon, Uwe Völker, Emmanouil Tsafantakis, Hakon Hakonarson, Dajiang J. Liu, Craig E. Pennell, Xueling Sim, Jennifer E. Huffman, Sandosh Padmanabhan, Digna R. Velez Edwards, Michiel L. Bots, Ayush Giri, Renée de Mutsert, Emanuele Di Angelantonio, Nicholas J. Wareham, Jin Li, Gail P. Jarvik, Evangelos Evangelou, Anne Tybjærg-Hansen, Patricia B. Munroe, Penny Gordon-Larsen, Lia E. Bang, Ivan Brandslund, Hester M. den Ruijter, Jussi Hernesniemi, Nancy L. Heard-Costa, Angela L. Mazul, Jonathan Tyrer, Danish Saleheen, Mark J. Caulfield, John Andrew Pospisilik, Annette Peters, Caroline Hayward, Iris M. Heid, J. Wouter Jukema, Valérie Turcot, Matt Neville, Rudolf Uher, Patricia A. Peyser, Jessica D. Faul, Asif Rasheed, Shuai Wang, John C. Chambers, Jordi Corominas Galbany, Murray H. Brilliant, Yucheng Jia, Torben Hansen, Veikko Salomaa, Mary F. Feitosa, Mathias Gorski, Li-An Lin, George Dedoussis, Honghuang Lin, Ethan M. Lange, Veronique Vitart, Bratati Kahali, Alexander Teumer, Jerome I. Rotter, Wayne H-H Sheu, Vilmantas Giedraitis, Aliki-Eleni Farmaki, Lorraine Southam, Ele Ferrannini, Anette P. Gjesing, Krina T. Zondervan, Stavroula Kanoni, David J. Roberts, Rebecca S. Fine, Svati H. Shah, Tugce Karaderi, Claudia Langenberg, Stefan Johansson, Elizabeth K. Speliotes, Alexander P. Reiner, Ching-Ti Liu, Yiqin Wang, Pål R. Njølstad, Gabriel Cuellar-Partida, Amanda J. Cox, Tim D. Spector, Paul W. Franks, Anke Tönjes, John D. Rioux, Jeffrey Haessler, Paul L. Auer, Ingrid B. Borecki, Deborah J. Thompson, Weihua Zhang, John R. B. Perry, Paul Elliott, Folkert W. Asselbergs, Myriam Fornage, Ken Sin Lo, Marie Moitry, Paul Mitchell, Martin den Heijer, Zoltán Kutalik, Tune H. Pers, Kari Stefansson, Kari Kuulasmaa, Robert E. Schoen, Mark C.H. De Groot, Laura M. Yerges-Armstrong, Jing Hua Zhao, Beverley Balkau, Peggy L. Peissig, Michael Boehnke, Janie Corley, Katharine R. Owen, Unnur Thorsteinsdottir, Naveed Sattar, Sita H. Vermeulen, Thomas N. Person, Mark I. McCarthy, Paul I.W. de Bakker, David Lamparter, Poorva Mudgal, Nicholette D. Palmer, Maria Karaleftheri, Jan-Håkan Jansson, Ozren Polasek, Ruth J. F. Loos, Daniel R. Witte, Dermot F. Reilly, Anubha Mahajan, Stella Trompet, James A. Perry, Yingchang Lu, Claudia Schurmann, Yii-Der Ida Chen, Hidetoshi Kitajima, Dale R. Nyholt, John Danesh, Pamela J. Schreiner, Narisu Narisu, Jose C. Florez, Adelheid Lempradl, Gerome Breen, Torben Jørgensen, Anu Loukola, Joe Dennis, Hans-Jörgen Grabe, Vilmundur Gudnason, Timo A. Lakka, Heather M. Highland, Sven Bergmann, Marie-Pierre Dubé, Giovanni Veronesi, Martina Müller-Nurasyid, Jaakko Tuomilehto, Nele Friedrich, Joel N. Hirschhorn, Pia R. Kamstrup, Nilesh J. Samani, Josh C. Denny, Mika Kähönen, Massimiliano Cocca, Liang Sun, Karina Meidtner, Carsten A. Böger, Sara M. Willems, Marcelo P. Segura-Lepe, Johanna Kuusisto, Hanieh Yaghootkar, Konstantin Strauch, Ruth Frikke-Schmidt, Jane Gibson, Matti Uusitupa, Oscar H. Franco, Yongmei Liu, Heather M. Stringham, Rohit Varma, Grant W. Montgomery, Dennis O. Mook-Kanamori, Stefania Cappellani, Paul L. Huang, Albert V. Smith, Eric Kim, Anke R. Hammerschlag, Katherine S. Ruth, Carolina Medina-Gomez, Gerard Pasterkamp, Cristen J. Willer, Alisa K. Manning, Frida Renström, René S. Kahn, Lili Milani, Feijie Wang, Tessel E. Galesloot, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Adam S. Butterworth, Tamara B. Harris, Matthew A. Allison, Paul M. Ridker, David J. Carey, Todd L. Edwards, Panos Deloukas, Xiuqing Guo, Lawrence F. Bielak, Leena Moilanen, Heiner Boeing, Peter Kovacs, Karen L. Mohlke, Myriam Rheinberger, Cramer Christensen, Betina H. Thuesen, Mike A. Nalls, Erik Ingelsson, Nicholas G. D. Masca, Colin N. A. Palmer, Audrey E. Hendricks, Linda Broer, Vanisha Mistry, Praveen Surendran, Audrey Y. Chu, Rainer Rauramaa, Angela D'Eustacchio, Helen Griffiths, Satu Männistö, Patrick T. Ellinor, Terho Lehtimäki, Katherine E. Tansey, I. Sadaf Farooqi, Gaëlle Marenne, Anneke I. den Hollander, Jessica van Setten, Hannu Puolijoki, Tinca J. C. Polderman, Timothy M. Frayling, Niels Grarup, Eric Boerwinkle, Gonçalo R. Abecasis, Adam E. Locke, Mengmeng Du, Manuel A. Rivas, Philippe Amouyel, Jaakko Kaprio, Leslie A. Lange, Loes M. Olde Loohuis, Trevor A. Mori, Lambertus A. Kiemeney, Wei Zhao, Eva Rb Petersen, Huaixing Li, Thomas W. Winkler, Tellervo Korhonen, Kathleen Stirrups, Jean Ferrières, Wei Zhou, Ian J. Deary, Guillaume Lettre, M. Arfan Ikram, Alex W. Hewitt, Marit E. Jørgensen, Ian Ford, Liang He, Mark Walker, Stefan Gustafsson, Andre Franke, Yao Hu, Jaana Lindström, Jonathan P. Bradfield, Anne E. Justice, Kristin L. Young, Sander W. van der Laan, Shuang Feng, Yadav Sapkota, Douglas F. Easton, Cornelia M. van Duijn, Amy J. Swift, Kjell Nikus, Helen R. Warren, Christian Theil Have, Wei Gan, Steven A. Lubitz, Harvey D. White, Pirjo Komulainen, John M. Starr, Jeffrey R. O'Connel, Anette Varbo, Daniel I. Chasman, Ruifang Li-Gao, Lynne E. Wagenknecht, Matthias Blüher, Xiaowei Zhan, Thomas F. Vogt, Eleftheria Zeggini, Tamuno Alfred, Katja K.H. Aben, Lars Wallentin, Joanna M. M. Howson, Jie Yao, Eulalia Catamo, Henrik Vestergaard, Gina M. Peloso, Markku Laakso, Matthias B. Schulze, Hayato Tada, Jennifer Wessel, Andrew R. Wood, Erwin P. Bottinger, Cora E. Lewis, Robin Young, Carol A. Wang, Oddgeir L. Holmen, Andrew J. Slater, Jean-Claude Tardif, Xu Lin, Inês Barroso, Gail Davies, Tibor V. Varga, Andrew J. Lotery, Igor Rudan, Andrew T. Hattersley, Michael Stumvoll, David Ellinghaus, Andrew C. Heath, Frank Kee, Christopher P. Nelson, Donald W. Bowden, Alison M. Dunning, Marianne Benn, Oluf Pedersen, Amber A. Burt, Aniruddh P. Patel, G. Kees Hovingh, David S. Crosslin, Gorm B. Jensen, Keng-Hung Lin, Dewan S. Alam, Jian'an Luan, Ying Wu, Tõnu Esko, Kathleen Mullan Harris, Antonietta Robino, Anne U. Jackson, Eirini Marouli, Robert A. Scott, Jette Bork-Jensen, Olov Rolandsson, Nanette R. Lee, Gerard Tromp, Megan L. Grove, Suthesh Sivapalaratnam, Sameer E. Al-Harthi, Roberta McKean-Cowdin, Paolo Gasparini, Ellen W. Demerath, Marco Brumat, Maggie C.Y. Ng, Børge G. Nordestgaard, Kari E. North, Rajiv Chowdhury, Mauno Vanhala, Andrew P. Morris, Sarah E. Medland, Sune F. Nielsen, Ilaria Gandin, Øyvind Helgeland, James P. Cook, Kent D. Taylor, Andrew D. Morris, Gudmar Thorleifsson, André G. Uitterlinden, Pang Yao, Valgerdur Steinthorsdottir, Eric B. Larson, Kerrin S. Small, Cecilia M. Lindgren, Dragana Vuckovic, Mariaelisa Graff, Fotios Drenos, Jaspal S. Kooner, Schurmann, Claudia [0000-0003-4158-9192], Justice, Anne E [0000-0002-8903-8712], Giri, Ayush [0000-0002-7786-4670], Locke, Adam E [0000-0001-6227-198X], Young, Kristin L [0000-0003-0070-6145], Medina-Gomez, Carolina [0000-0001-7999-5538], Winkler, Thomas W [0000-0003-0292-5421], Zeggini, Eleftheria [0000-0003-4238-659X], Zhao, Wei [0000-0002-8301-9297], Zondervan, Krina T [0000-0002-0275-9905], Pospisilik, John A [0000-0002-9745-0977], Rivadeneira, Fernando [0000-0001-9435-9441], Deloukas, Panos [0000-0001-9251-070X], Apollo - University of Cambridge Repository, Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, ACS - Atherosclerosis & ischemic syndromes, Internal Medicine, Epidemiology, Obstetrics & Gynecology, Radiology & Nuclear Medicine, CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Understanding Society Scientific Group, Biological Psychology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, British Heart Foundation, Wellcome Trust, Medical Research Council (MRC), National Institute for Health Research, Home Office, National Institutes of Health, Imperial College Healthcare NHS Trust- BRC Funding, Turcot, Valérie, Lu, Yingchang, Highland, Heather M., Schurmann, Claudia, Justice, Anne E., Fine, Rebecca S., Bradfield, Jonathan P., Esko, Tõnu, Giri, Ayush, Graff, Mariaelisa, Guo, Xiuqing, Hendricks, Audrey E., Karaderi, Tugce, Lempradl, Adelheid, Locke, Adam E., Mahajan, Anubha, Marouli, Eirini, Sivapalaratnam, Suthesh, Young, Kristin L., Alfred, Tamuno, Feitosa, Mary F., Masca, Nicholas G. D., Manning, Alisa K., Medina-Gomez, Carolina, Mudgal, Poorva, Ng, Maggie C. Y., Reiner, Alex P., Vedantam, Sailaja, Willems, Sara M., Winkler, Thomas W., Abecasis, Gonçalo, Aben, Katja K., Alam, Dewan S., Alharthi, Sameer E., Allison, Matthew, Amouyel, Philippe, Asselbergs, Folkert W., Auer, Paul L., Balkau, Beverley, Bang, Lia E., Barroso, Inê, Bastarache, Lisa, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F., Blüher, Matthia, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A., Bork-Jensen, Jette, Bots, Michiel L., Bottinger, Erwin P., Bowden, Donald W., Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H., Broer, Linda, Brumat, Marco, Burt, Amber A., Butterworth, Adam S., Campbell, Peter T., Cappellani, Stefania, Carey, David J., Catamo, Eulalia, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Chen, Yii-Der I., Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y., Cocca, Massimiliano, Collins, Francis S., Cook, James P., Corley, Janie, Corominas Galbany, Jordi, Cox, Amanda J., Crosslin, David S., Cuellar-Partida, Gabriel, D'Eustacchio, Angela, Danesh, John, Davies, Gail, Bakker, Paul I. W., Groot, Mark C. H., Mutsert, Renée, Deary, Ian J., Dedoussis, George, Demerath, Ellen W., Heijer, Martin, Hollander, Anneke I., Ruijter, Hester M., Dennis, Joe G., Denny, Josh C., Angelantonio, Emanuele, Drenos, Fotio, Du, Mengmeng, Dubé, Marie-Pierre, Dunning, Alison M., Easton, Douglas F., Edwards, Todd L., Ellinghaus, David, Ellinor, Patrick T., Elliott, Paul, Evangelou, Evangelo, Farmaki, Aliki-Eleni, Farooqi, I. Sadaf, Faul, Jessica D., Fauser, Sascha, Feng, Shuang, Ferrannini, Ele, Ferrieres, Jean, Florez, Jose C., Ford, Ian, Fornage, Myriam, Franco, Oscar H., Franke, Andre, Franks, Paul W., Friedrich, Nele, Frikke-Schmidt, Ruth, Galesloot, Tessel E., Gan, Wei, Gandin, Ilaria, Gasparini, Paolo, Gibson, Jane, Giedraitis, Vilmanta, Gjesing, Anette P., Gordon-Larsen, Penny, Gorski, Mathia, Grabe, Hans-Jörgen, Grant, Struan F. A., Grarup, Niel, Griffiths, Helen L., Grove, Megan L., Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeff, Hakonarson, Hakon, Hammerschlag, Anke R., Hansen, Torben, Harris, Kathleen Mullan, Harris, Tamara B., Hattersley, Andrew T., Have, Christian T., Hayward, Caroline, He, Liang, Heard-Costa, Nancy L., Heath, Andrew C., Heid, Iris M., Helgeland, Øyvind, Hernesniemi, Jussi, Hewitt, Alex W., Holmen, Oddgeir L., Hovingh, G. Kee, Howson, Joanna M. M., Hu, Yao, Huang, Paul L., Huffman, Jennifer E., Ikram, M. Arfan, Ingelsson, Erik, Jackson, Anne U., Jansson, Jan-Håkan, Jarvik, Gail P., Jensen, Gorm B., Jia, Yucheng, Johansson, Stefan, Jørgensen, Marit E., Jørgensen, Torben, Jukema, J. Wouter, Kahali, Bratati, Kahn, René S., Kähönen, Mika, Kamstrup, Pia R., Kanoni, Stavroula, Kaprio, Jaakko, Karaleftheri, Maria, Kardia, Sharon L. R., Karpe, Fredrik, Kathiresan, Sekar, Kee, Frank, Kiemeney, Lambertus A., Kim, Eric, Kitajima, Hidetoshi, Komulainen, Pirjo, Kooner, Jaspal S., Kooperberg, Charle, Korhonen, Tellervo, Kovacs, Peter, Kuivaniemi, Helena, Kutalik, Zoltán, Kuulasmaa, Kari, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo A., Lamparter, David, Lange, Ethan M., Lange, Leslie A., Langenberg, Claudia, Larson, Eric B., Lee, Nanette R., Lehtimäki, Terho, Lewis, Cora E., Li, Huaixing, Li, Jin, Li-Gao, Ruifang, Lin, Honghuang, Lin, Keng-Hung, Lin, Li-An, Lin, Xu, Lind, Lar, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Liu, Dajiang J., Liu, Yongmei, Lo, Ken S., Lophatananon, Artitaya, Lotery, Andrew J., Loukola, Anu, Luan, Jian'An, Lubitz, Steven A., Lyytikäinen, Leo-Pekka, Männistö, Satu, Marenne, Gaëlle, Mazul, Angela L., Mccarthy, Mark I., McKean-Cowdin, Roberta, Medland, Sarah E., Meidtner, Karina, Milani, Lili, Mistry, Vanisha, Mitchell, Paul, Mohlke, Karen L., Moilanen, Leena, Moitry, Marie, Montgomery, Grant W., Mook-Kanamori, Dennis O., Moore, Carmel, Mori, Trevor A., Morris, Andrew D., Morris, Andrew P., Müller-Nurasyid, Martina, Munroe, Patricia B., Nalls, Mike A., Narisu, Narisu, Nelson, Christopher P., Neville, Matt, Nielsen, Sune F., Nikus, Kjell, Njølstad, Pål R., Nordestgaard, Børge G., Nyholt, Dale R., O'Connel, Jeffrey R., O'Donoghue, Michelle L., Olde Loohuis, Loes M., Ophoff, Roel A., Owen, Katharine R., Packard, Chris J., Padmanabhan, Sandosh, Palmer, Colin N. A., Palmer, Nicholette D., Pasterkamp, Gerard, Patel, Aniruddh P., Pattie, Alison, Pedersen, Oluf, Peissig, Peggy L., Peloso, Gina M., Pennell, Craig E., Perola, Marku, Perry, James A., Perry, John R. B., Pers, Tune H., Person, Thomas N., Peters, Annette, Petersen, Eva R. B., Peyser, Patricia A., Pirie, Ailith, Polasek, Ozren, Polderman, Tinca J., Puolijoki, Hannu, Raitakari, Olli T., Rasheed, Asif, Rauramaa, Rainer, Reilly, Dermot F., Renström, Frida, Rheinberger, Myriam, Ridker, Paul M., Rioux, John D., Rivas, Manuel A., Roberts, David J., Robertson, Neil R., Robino, Antonietta, Rolandsson, Olov, Rudan, Igor, Ruth, Katherine S., Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sapkota, Yadav, Sattar, Naveed, Schoen, Robert E., Schreiner, Pamela J., Schulze, Matthias B., Scott, Robert A., Segura-Lepe, Marcelo P., Shah, Svati H., Sheu, Wayne H. -H., Sim, Xueling, Slater, Andrew J., Small, Kerrin S., Smith, Albert V., Southam, Lorraine, Spector, Timothy D., Speliotes, Elizabeth K., Starr, John M., Stefansson, Kari, Steinthorsdottir, Valgerdur, Stirrups, Kathleen E., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Sun, Liang, Surendran, Praveen, Swift, Amy J., Tada, Hayato, Tansey, Katherine E., Tardif, Jean-Claude, Taylor, Kent D., Teumer, Alexander, Thompson, Deborah J., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thuesen, Betina H., Tönjes, Anke, Tromp, Gerard, Trompet, Stella, Tsafantakis, Emmanouil, Tuomilehto, Jaakko, Tybjaerg-Hansen, Anne, Tyrer, Jonathan P., Uher, Rudolf, Uitterlinden, André G., Uusitupa, Matti, Laan, Sander W., Duijn, Cornelia M., Leeuwen, Nienke, Van Setten, Jessica, Vanhala, Mauno, Varbo, Anette, Varga, Tibor V., Varma, Rohit, Velez Edwards, Digna R., Vermeulen, Sita H., Veronesi, Giovanni, Vestergaard, Henrik, Vitart, Veronique, Vogt, Thomas F., Völker, Uwe, Vuckovic, Dragana, Wagenknecht, Lynne E., Walker, Mark, Wallentin, Lar, Wang, Feijie, Wang, Carol A., Wang, Shuai, Wang, Yiqin, Ware, Erin B., Wareham, Nicholas J., Warren, Helen R., Waterworth, Dawn M., Wessel, Jennifer, White, Harvey D., Willer, Cristen J., Wilson, James G., Witte, Daniel R., Wood, Andrew R., Wu, Ying, Yaghootkar, Hanieh, Yao, Jie, Yao, Pang, Yerges-Armstrong, Laura M., Young, Robin, Zeggini, Eleftheria, Zhan, Xiaowei, Zhang, Weihua, Zhao, Jing Hua, Zhao, Wei, Zhou, Wei, Zondervan, Krina T, Rotter, Jerome I., Pospisilik, John A., Rivadeneira, Fernando, Borecki, Ingrid B., Deloukas, Pano, Frayling, Timothy M., Lettre, Guillaume, North, Kari E., Lindgren, Cecilia M., Hirschhorn, Joel N., Loos, Ruth J. F., Internal medicine, AGEM - Endocrinology, metabolism and nutrition, Amsterdam Movement Sciences - Rehabilitation & Development, Amsterdam Movement Sciences - Restoration and Development, APH - Aging & Later Life, Physiology, and VU University medical center
Subjects: 0301 basic medicine, Male, ReproGen Consortium, MathematicsofComputing_GENERAL, Genome-wide association study, medicine.disease_cause, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], Body Mass Index, genetics [Obesity], 0302 clinical medicine, Gene Frequency, Glucose homeostasis, Adult, Animals, Drosophila/genetics, Energy Intake/genetics, Energy Metabolism/genetics, Female, Genetic Variation, Humans, Obesity/genetics, Proteins/genetics, Syndrome, 11 Medical and Health Sciences, 2. Zero hunger, Genetics, Genetics & Heredity, Mutation, CHD Exome+ Consortium, body mass index, TheoryofComputation_GENERAL, T2D-Genes Consortium, GENOME-WIDE ASSOCIATION, MELANOCORTIN-4 RECEPTOR GENE, DONEPEZIL 23 MG, FRAMESHIFT MUTATION, GLUCOSE-HOMEOSTASIS, HYPOTHALAMIC AMPK, CODING VARIANTS, BLOOD-PRESSURE, RARE, LOCI, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Drosophila, ExomeBP Consortium, Life Sciences & Biomedicine, INTERVAL Study, Understanding Society Scientific Group, EPIC InterAct Consortium, genetics [Energy Metabolism], Biology, EPIC-CVD Consortium, Frameshift mutation, 03 medical and health sciences, MAGIC Investigators, All institutes and research themes of the Radboud University Medical Center, Genetic, SDG 3 - Good Health and Well-being, ddc:570, genetics [Drosophila], medicine, Journal Article, Global Lipids Genetic Consortium, Obesity, Gene, Allele frequency, Genetic association, Science & Technology, Proteins, 06 Biological Sciences, genetics [Proteins], Minor allele frequency, 030104 developmental biology, GoT2D Genes Consortium, Energy Intake, Energy Metabolism, genetics [Energy Intake], 030217 neurology & neurosurgery, Developmental Biology
Abstract: Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.
Published: 2018

36. Genome-wide association analysis of lifetime cannabis use (N=184,765) identifies new risk loci, genetic overlap with mental health, and a causal influence of schizophrenia on cannabis use

Author: Lea K. Davis, Josep Antoni Ramos-Quiroga, Joëlle A. Pasman, James MacKillop, Grant W. Montgomery, Sarah L. Elson, Jordana T. Bell, Karin J. H. Verweij, Marta Ribasés, Jaakko Kaprio, Albertine J. Oldehinkel, Zdenka Pausova, Jue-Sheng Ong, Nathan A. Gillespie, Marco P. Boks, Bart M. L. Baselmans, Harriet de Wit, Nicholas G. Martin, Jaime Derringer, John R. B. Perry, Stuart MacGregor, Zachary Gerring, Andrew C. Heath, Joel Gelernter, Pamela A. F. Madden, Michel G. Nivard, Abraham A. Palmer, Felix R. Day, Jorien L. Treur, Catharina A. Hartman, Pierre Fontanillas, Jacqueline M. Vink, Matthijs D. van der Zee, Wim Meeus, Danielle Posthuma, Sven Stringer, Abdel Abdellaoui, Thomas Paus, Marcus R. Munafò, Pol A. C. van Lier, Eske M. Derks, Meike Bartels, Hill F. Ip, Reedik Mägi, Dorret I. Boomsma, Sandra Sanchez-Roige, Susan Branje, and Tim D. Spector
Subjects: Genetics, 0303 health sciences, Genome-wide association study, Single-nucleotide polymorphism, Biology, medicine.disease, Mental health, 3. Good health, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Schizophrenia, Trait, Mendelian inheritance, symbols, medicine, SNP, Bipolar disorder, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: Cannabis use is a heritable trait [1] that has been associated with adverse mental health outcomes. To identify risk variants and improve our knowledge of the genetic etiology of cannabis use, we performed the largest genome-wide association study (GWAS) meta-analysis for lifetime cannabis use (N=184,765) to date. We identified 4 independent loci containing genome-wide significant SNP associations. Gene-based tests revealed 29 genome-wide significant genes located in these 4 loci and 8 additional regions. All SNPs combined explained 10% of the variance in lifetime cannabis use. The most significantly associated gene, CADM2, has previously been associated with substance use and risk-taking phenotypes [2–4]. We used S-PrediXcan to explore gene expression levels and found 11 unique eGenes. LD-score regression uncovered genetic correlations with smoking, alcohol use and mental health outcomes, including schizophrenia and bipolar disorder. Mendelian randomisation analysis provided evidence for a causal positive influence of schizophrenia risk on lifetime cannabis use.
Published: 2018
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37. Identification of nine new susceptibility loci for endometrial cancer

Author: Chu Chen, Angela Cox, Marta Crous-Bous, Sean C. Dowdy, Lucy Xia, Herbert Yu, Mark McEvoy, Catherine S. Healey, Xiaolin Liang, V. Wendy Setiawan, Christine L. Clarke, Jeroen Depreeuw, Camilla Krakstad, Christine M. Friedenreich, Brooke L. Fridley, John R. B. Perry, Jolanta Lissowska, Thilo Dörk, Fredrick R. Schumacher, Jennifer A. Doherty, Rodney J. Scott, Jenny Chang-Claude, David Van Den Berg, Manjeet K. Bolla, Ingo B. Runnebaum, Jirong Long, Nicolas Wentzensen, Harvey A. Risch, Jennifer Prescott, Vessela N. Kristensen, Jonathan Tyrer, Penelope M. Webb, Lingeng Lu, Louise A. Brinton, Shirley Hodgson, Felix R. Day, Lin Fritschi, Matthias Rübner, Gloria E. Sarto, Anthony J. Swerdlow, Melissa C. Southey, Hannah P. Yang, Graham G. Giles, Julian Peto, Christopher A. Haiman, Mitul Shah, Matthias W. Beckmann, Kyriaki Michailidou, John Attia, Katie A. Ashton, Hiltrud Brauch, Loic Le Marchand, Joe Dennis, Håkan Olsson, Mia M. Gaudet, Ellen L. Goode, Celine M. Vachon, Paul D.P. Pharoah, Barbara Burwinkel, Alexander Hein, Stephen J. Chanock, Emma Tham, Douglas F. Easton, Wei Zheng, Ian Tomlinson, Jenny N. Fung, Maxine M. Chen, Zhaoming Wang, Alicja Wolk, Paul L. Auer, Daniel D. Buchanan, Deborah J. Thompson, Arif B. Ekici, Henrica M.J. Werner, Elizabeth G. Holliday, Timothy R. Rebbeck, Maggie Gorman, Per Hall, Tracy A. O'Mara, Peter Rogers, Miriam Mints, Anthony M. Magliocco, Xiao-Ou Shu, Tony Proietto, Matthias Dürst, Stacey J. Winham, Linda S. Cook, Annika Lindblom, Susan E. Hankison, Irene Orlow, Constance Turman, Dylan M. Glubb, Peter Hillemanns, Roger L. Milne, Geoffrey Otton, Carlotta Sacerdote, Erling A. Hoivik, Adriaan Vanderstichele, Daniela Annibali, Angela M. Jones, Amanda B. Spurdle, Peter Kraft, Hermann Brenner, Grant W. Montgomery, Alison M. Dunning, Jone Trovik, Amanda Black, Mark Clendenning, Immaculata De Vivo, Fergus J. Couch, David J. Hunter, Lynn Martin, Kamila Czene, John L. Hopper, Timothy H.T. Cheng, Montserrat Garcia-Closas, Frédéric Amant, Loreall Pooler, Peter A. Fasching, Diether Lambrechts, Xin Sheng, Rami Nassir, Claire Palles, Alfons Meindl, Yong-Bing Xiang, ARD - Amsterdam Reproduction and Development, CCA - Cancer biology and immunology, and Obstetrics and Gynaecology
Subjects: 0301 basic medicine, LD SCORE REGRESSION, General Physics and Astronomy, Genome-wide association study, VARIANTS, FAMILY-HISTORY, Gene Frequency, Risk Factors, Genotype, lcsh:Science, Genetics, Multidisciplinary, Chromatin, 3. Good health, Multidisciplinary Sciences, MENDELIAN RANDOMIZATION, Science & Technology - Other Topics, Female, Signal Transduction, Science, Quantitative Trait Loci, Locus (genetics), Biology, Quantitative trait locus, GENOTYPE IMPUTATION, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Breast cancer, medicine, Biomarkers, Tumor, BREAST-CANCER, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Allele frequency, METAANALYSIS, Alleles, Cancer och onkologi, Science & Technology, Endometrial cancer, General Chemistry, medicine.disease, RISK LOCI, Endometrial Neoplasms, BODY-MASS INDEX, 030104 developmental biology, Cancer and Oncology, Expression quantitative trait loci, lcsh:Q, Genome-Wide Association Study
Abstract: Endometrial cancer is the most commonly diagnosed cancer of the female reproductive tract in developed countries. Through genome-wide association studies (GWAS), we have previously identified eight risk loci for endometrial cancer. Here, we present an expanded meta-analysis of 12,906 endometrial cancer cases and 108,979 controls (including new genotype data for 5624 cases) and identify nine novel genome-wide significant loci, including a locus on 12q24.12 previously identified by meta-GWAS of endometrial and colorectal cancer. At five loci, expression quantitative trait locus (eQTL) analyses identify candidate causal genes; risk alleles at two of these loci associate with decreased expression of genes, which encode negative regulators of oncogenic signal transduction proteins (SH2B3 (12q24.12) and NF1 (17q11.2)). In summary, this study has doubled the number of known endometrial cancer risk loci and revealed candidate causal genes for future study., Endometrial cancer is the most common invasive gynaecological cancer in developed countries. Here a meta-analysis identifies an additional nine novel endometrial cancer risk loci and eQTL analysis reveals risk variants associate with reduced expression of negative regulators of oncogenic signal transduction proteins.
Published: 2018

38. Associations of vomiting and antiemetic use in pregnancy with levels of circulating GDF15 early in the second trimester: A nested case-control study

Author: Sandra F. Goodburn, Carlo L. Acerini, Ken K. Ong, David B. Dunger, Peter Barker, Clive J. Petry, Gijs B. Afink, Keith Burling, John R. B. Perry, Ieuan A. Hughes, Rebecca C. Painter, Stephen O'Rahilly, Petry, Clive J [0000-0002-6642-9825], Goodburn, Sandra F [0000-0002-3515-809X], Acerini, Carlo L [0000-0003-2121-5871], Afink, Gijs B [0000-0002-2155-725X], Dunger, David B [0000-0002-2566-9304], O'Rahilly, Stephen [0000-0003-2199-4449], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, medicine.medical_specialty, obesity, Nausea, medicine.drug_class, Medicine (miscellaneous), General Biochemistry, Genetics and Molecular Biology, Chemoreceptor trigger zone, 03 medical and health sciences, Hyperemesis gravidarum, 0302 clinical medicine, Interquartile range, medicine, Antiemetic, Pregnancy, 030219 obstetrics & reproductive medicine, Obstetrics, business.industry, maternal-fetal relations, Articles, medicine.disease, nausea, 3. Good health, 030104 developmental biology, antiemetics, Nested case-control study, Vomiting, pregnancy, medicine.symptom, business, Research Article
Abstract: Background: Although nausea and vomiting are very common in pregnancy, their pathogenesis is poorly understood. We tested the hypothesis that circulating growth and differentiation factor 15 (GDF15) concentrations in early pregnancy, whose gene is implicated in hyperemesis gravidarum, are associated with nausea and vomiting. Methods: Blood samples for the measurement of GDF15 and human chorionic gonadotrophin (hCG) concentrations were obtained early in the second trimester (median 15.1 (interquartile range 14.4-15.7) weeks) of pregnancy from 791 women from the Cambridge Baby Growth Study, a prospective pregnancy and birth cohort. During each trimester participants completed a questionnaire which included questions about nausea, vomiting and antiemetic use. Associations with pre-pregnancy body mass indexes (BMI) were validated in 231 pregnant NIPTeR Study participants. Results: Circulating GDF15 concentrations were higher in women reporting vomiting in the second trimester than in women reporting no pregnancy nausea or vomiting: 11,581 (10,977-12,219) (n=175) vs. 10,593 (10,066-11,147) (n=193) pg/mL, p=0.02). In women who took antiemetic drugs during pregnancy (n=11) the GDF15 levels were also raised 13,157 (10,558-16,394) pg/mL (p =0.04). Serum GFD15 concentrations were strongly positively correlated with hCG levels but were inversely correlated with maternal BMIs, a finding replicated in the NIPTeR Study. Conclusions: Week 15 serum GDF15 concentrations are positively associated with second trimester vomiting and maternal antiemetic use in pregnancy. Given GDF15’s site of action in the chemoreceptor trigger zone of the brainstem and its genetic associations with hyperemesis gravidarum, these data support the concept that GDF15 may be playing a pathogenic role in pregnancy-associated vomiting.
Published: 2018

39. Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior

Author: Kyoko Watanabe, Andrew C. Heath, Henning Tiemeier, Grant W. Montgomery, Fazil Aliev, Anke R. Hammerschlag, Tiina Paunio, Essi Viding, Lindsay A. Farrer, Michelle Taylor, John R. B. Perry, Xiaoran Tong, Nicholas G. Martin, Qing Lu, Kevin M. Beaver, Jorim J. Tielbeek, Jessica E. Salvatore, Joel Gelernter, Philip R. Jansen, Christiaan de Leeuw, Tim B. Bigdeli, Ada Johansson, Danielle M. Dick, Alexandra S. Burt, Irwin D. Waldman, Sarah E. Medland, Jari Tiihonen, Devon LoParo, Tinca J. C. Polderman, Marcus R. Munafò, Stephen V. Faraone, Robert Plomin, Irene Pappa, Henry R. Kranzler, Sabine E. Mous, Arne Popma, Danielle Posthuma, Pamela A. F. Madden, Marja-Riitta Rautiainen, Amsterdam Neuroscience - Complex Trait Genetics, Pediatric surgery, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Mental Health, Public Health, Child and Adolescent Psychiatry / Psychology, Psychiatry, Erasmus MC other, Epidemiology, Human Genetics, Child and Adolescent Psychiatry & Psychosocial Care, Complex Trait Genetics, and Biological Psychology
Subjects: Male, 0301 basic medicine, Multifactorial Inheritance, Candidate gene, Finland/epidemiology, Genome-wide association study, Brain and Behaviour, 0302 clinical medicine, Child, 10. No inequality, Finland, Genetics, education.field_of_study, Tobacco and Alcohol, Antisocial Personality Disorder, Middle Aged, 16. Peace & justice, Justice and Strong Institutions, Psychiatry and Mental health, Conduct disorder, Female, Adult, Conduct Disorder, SDG 16 - Peace, Adolescent, Population, Environment, Biology, Article, 03 medical and health sciences, Sex Factors, medicine, Journal Article, Humans, Antisocial Personality Disorder/epidemiology, Conduct Disorder/epidemiology, education, Antisocial personality disorder, SDG 16 - Peace, Justice and Strong Institutions, Genetic Variation, Heritability, medicine.disease, Twin study, ta3124, Genetic architecture, 030104 developmental biology, 030217 neurology & neurosurgery, Genome-Wide Association Study, Demography
Abstract: Importance: Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified.Objectives: To estimate the single-nucleotide polymorphism-based heritability of ASB; to identify novel genetic risk variants, genes, or biological pathways; to test for pleiotropic associations with other psychiatric traits; and to reevaluate the candidate gene era data through the Broad Antisocial Behavior Consortium.Design, Setting, and Participants: Genome-wide association data from 5 large population-based cohorts and 3 target samples with genome-wide genotype and ASB data were used for meta-analysis from March 1, 2014, to May 1, 2016. All data sets used quantitative phenotypes, except for the Finnish Crime Study, which applied a case-control design (370 patients and 5850 control individuals).Main Outcome and Measures: This study adopted relatively broad inclusion criteria to achieve a quantitative measure of ASB derived from multiple measures, maximizing the sample size over different age ranges.Results: The discovery samples comprised 16 400 individuals, whereas the target samples consisted of 9381 individuals (all individuals were of European descent), including child and adult samples (mean age range, 6.7-56.1 years). Three promising loci with sex-discordant associations were found (8535 female individuals, chromosome 1: rs2764450, chromosome 11: rs11215217; 7772 male individuals, chromosome X, rs41456347). Polygenic risk score analyses showed prognostication of antisocial phenotypes in an independent Finnish Crime Study (2536 male individuals and 3684 female individuals) and shared genetic origin with conduct problems in a population-based sample (394 male individuals and 431 female individuals) but not with conduct disorder in a substance-dependent sample (950 male individuals and 1386 female individuals) (R2 = 0.0017 in the most optimal model, P = 0.03). Significant inverse genetic correlation of ASB with educational attainment (r = -0.52, P = .005) was detected.Conclusions and Relevance: The Broad Antisocial Behavior Consortium entails the largest collaboration to date on the genetic architecture of ASB, and the first results suggest that ASB may be highly polygenic and has potential heterogeneous genetic effects across sex.
Published: 2017

40. Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations

Author: Meena Kumari, John R. B. Perry, Jian'an Luan, Robert A. Scott, Delilah Zabaneh, Michaela Benzeval, Eleftheria Zeggini, Claudia Langenberg, Nicholas J. Wareham, Karoline Kuchenbaecker, Melissa C. Smart, Bram P. Prins, Ghazaleh Fatemifar, Yanchun Bao, Luan, Jian'an [0000-0003-3137-6337], Wareham, Nicholas [0000-0003-1422-2993], Perry, John [0000-0001-6483-3771], Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Genetic Markers, Longitudinal study, Health Status, lcsh:Medicine, Genome-wide association study, Article, 03 medical and health sciences, Liver disease, medicine, Longitudinal Studies, 1000 Genomes Project, lcsh:Science, Genetics, Family Health, Family Characteristics, Multidisciplinary, biology, Haplotype, lcsh:R, medicine.disease, Genetic architecture, United Kingdom, 3. Good health, 030104 developmental biology, Reproductive Health, Alanine transaminase, biology.protein, Biomarker (medicine), lcsh:Q, Biomarkers, Genome-Wide Association Study
Abstract: Serum biomarker levels are associated with the risk of complex diseases. Here, we aimed to gain insights into the genetic architecture of biomarker traits which can reflect health status. We performed genome-wide association analyses for twenty serum biomarkers involved in organ function and reproductive health. 9,961 individuals from the UK Household Longitudinal Study were genotyped using the Illumina HumanCoreExome array and variants imputed to the 1000 Genomes Project and UK10K haplotypes. We establish a polygenic heritability for all biomarkers, confirm associations of fifty-four established loci, and identify five novel, replicating associations at genome-wide significance. A low-frequency variant, rs28929474, (beta = 0.04, P = 2 × 10−10) was associated with levels of alanine transaminase, an indicator of liver damage. The variant is located in the gene encoding serine protease inhibitor, low levels of which are associated with alpha-1 antitrypsin deficiency which leads to liver disease. We identified novel associations (rs78900934, beta = 0.05, P = 6 × 10−12; rs2911280, beta = 0.09, P = 6 × 10−10) for dihydroepiandrosterone sulphate, a precursor to major sex-hormones, and for glycated haemoglobin (rs12819124, beta = −0.03, P = 4 × 10−9; rs761772, beta = 0.05, P = 5 × 10−9). rs12819124 is nominally associated with risk of type 2 diabetes. Our study offers insights into the genetic architecture of well-known and less well-studied biomarkers.
Published: 2017

41. Genome-wide association study for risk taking propensity indicates shared pathways with body mass index

Author: Ken K. Ong, Felix R. Day, Emma A.D. Clifton, Nita G. Forouhi, Fumiaki Imamura, Simon J. Griffin, Nicholas J. Wareham, Soren Brage, Luca A. Lotta, and John R. B. Perry
Subjects: 0301 basic medicine, QH301-705.5, business.industry, Medicine (miscellaneous), Genome-wide association study, Single-nucleotide polymorphism, medicine.disease, Bioinformatics, Obesity, General Biochemistry, Genetics and Molecular Biology, Childhood obesity, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Schizophrenia, Trait, Medicine, Bipolar disorder, Biology (General), General Agricultural and Biological Sciences, business, Body mass index, 030217 neurology & neurosurgery
Abstract: Risk-taking propensity is a trait of significant public health relevance but few specific genetic factors are known. Here we perform a genome-wide association study of self-reported risk-taking propensity among 436,236 white European UK Biobank study participants. We identify genome-wide associations at 26 loci (P −8), 24 of which are novel, implicating genes enriched in the GABA and GABA receptor pathways. Modelling the relationship between risk-taking propensity and body mass index (BMI) using Mendelian randomisation shows a positive association (0.25 approximate SDs of BMI (SE: 0.06); P = 6.7 × 10−5). The impact of individual SNPs is heterogeneous, indicating a complex relationship arising from multiple shared pathways. We identify positive genetic correlations between risk-taking and waist-hip ratio, childhood obesity, ever smoking, attention-deficit hyperactivity disorder, bipolar disorder and schizophrenia, alongside a negative correlation with women’s age at first birth. These findings highlight that behavioural pathways involved in risk-taking propensity may play a role in obesity, smoking and psychiatric disorders.
Published: 2017

42. Contents Vol. 102, 2015

Author: Giovanna Mantovani, Michal Pokusa, Sture Falkmer, M. Franklin, Suzanne M. Moenter, Song Hee Lee, Seok Joon Won, Stanislav Babic, Satz Mengensatzproduktion, John R. B. Perry, Isabel Bermudez, Jin Hee Kim, Elisa Verrua, Horst-Werner Korf, Elmar Christ, Felix R. Day, Elisa Sala, Elena Malchiodi, Bo Eun Lee, Michaela Fredrich, Sang Won Suh, Emanuele Ferrante, Eriselda Profka, Marcello Filopanti, Byung Hoon Yoo, Amin Derouiche, In Yeol Kim, Giulia Carosi, Paolo Beck-Peccoz, Bo Young Choi, Weijiang Zhao, Qiong Jiang, Kalle Landerholm, Jin-Ping Mei, Anna Spada, Ken K. Ong, Ara Kho, Claudia Giavoli, Daniela Jezova, Druckerei Stückle, Min Sohn, and Natasa Hlavacova
Subjects: Cellular and Molecular Neuroscience, medicine.medical_specialty, Endocrinology, Traditional medicine, Endocrine and Autonomic Systems, business.industry, Endocrinology, Diabetes and Metabolism, Internal medicine, medicine, business
Published: 2015

43. Elucidating the genetic architecture of reproductive ageing in the Japanese population

Author: Makoto Hirata, Momoko Horikoshi, John R. B. Perry, Felix R. Day, Carlos A. Toro, Michiaki Kubo, Ken K. Ong, Hollis Wright, Yoichiro Kamatani, Sergio R. Ojeda, Masato Akiyama, Koichi Matsuda, and Alejandro Lomniczi
Subjects: Genetics, 0303 health sciences, education.field_of_study, Population, Population genetics, Reproductive ageing, Biology, medicine.disease, Genetic architecture, Menopause, 03 medical and health sciences, 0302 clinical medicine, Genetic variation, medicine, education, Allele frequency, Gene, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: Population studies over the past decade have successfully elucidated the genetic architecture of reproductive ageing. However, those studies were largely limited to European ancestries, restricting the generalizability of the findings and overlooking possible key genes poorly captured by common European genetic variation. Here, in up to 67,029 women of Japanese ancestry, we report 26 loci (all P8) for puberty timing or age at menopause, representing the first loci for reproductive ageing in any non-European population. Highlighted genes for menopause include GNRH1, which supports a primary, rather than passive, role for hypothalamic-pituitary GnRH signalling in the timing of menopause. For puberty timing, we demonstrate an aetiological role for receptor-like protein tyrosine phosphatases by combining evidence across population genetics and pre- and peri-pubertal changes in hypothalamic gene expression in rodent and primate models. Furthermore, our findings demonstrate widespread differences in allele frequencies and effect estimates between Japanese and European populations, highlighting the benefits and challenges of large-scale trans-ethnic approaches.
Published: 2017

44. Dissecting Causal Pathways Using Mendelian Randomization with Summarized Genetic Data: Application to Age at Menarche and Risk of Breast Cancer

Author: Ken K. Ong, Felix R. Day, Stephen Burgess, Deborah J. Thompson, Jessica M. B. Rees, John R. B. Perry, Burgess, Stephen [0000-0001-5365-8760], Thompson, Deborah [0000-0003-1465-5799], Day, Felix [0000-0003-3789-7651], Perry, John [0000-0001-6483-3771], Ong, Kenneth [0000-0003-4689-7530], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Breast Neoplasms, Biology, Investigations, Bioinformatics, 01 natural sciences, Polymorphism, Single Nucleotide, Body Mass Index, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Mendelian randomization, Genetics, medicine, Humans, 030212 general & internal medicine, causal inference, 0101 mathematics, Risk factor, mediation analysis, 2. Zero hunger, Menarche, Models, Genetic, business.industry, Instrumental variable, medicine.disease, Indirect effect, Outcome (probability), instrumental variable, 3. Good health, 030104 developmental biology, Causal inference, Data Interpretation, Statistical, direct effect, Female, business, Body mass index, Genome-Wide Association Study
Abstract: Mendelian randomization is the use of genetic variants as instrumental variables to estimate causal effects of risk factors on outcomes. The total causal effect of a risk factor is the change in the outcome resulting from intervening on the risk factor. This total causal effect may potentially encompass multiple mediating mechanisms. For a proposed mediator, the direct effect of the risk factor is the change in the outcome resulting from a change in the risk factor, keeping the mediator constant. A difference between the total effect and the direct effect indicates that the causal pathway from the risk factor to the outcome acts at least in part via the mediator (an indirect effect). Here, we show that Mendelian randomization estimates of total and direct effects can be obtained using summarized data on genetic associations with the risk factor, mediator, and outcome, potentially from different data sources. We perform simulations to test the validity of this approach when there is unmeasured confounding and/or bidirectional effects between the risk factor and mediator. We illustrate this method using the relationship between age at menarche and risk of breast cancer, with body mass index (BMI) as a potential mediator. We show an inverse direct causal effect of age at menarche on risk of breast cancer (independent of BMI), and a positive indirect effect via BMI. In conclusion, multivariable Mendelian randomization using summarized genetic data provides a rapid and accessible analytic strategy that can be undertaken using publicly available data to better understand causal mechanisms.
Published: 2017

45. A genome-wide polygenic approach to HIV acquisition uncovers link to inflammatory bowel disease and identifies potential novel genetic variants

Author: RA Power, Istvan Bartha, John R. B. Perry, Td Oliveira, Christian W. Thorball, Jacques Fellay, and Paul J. McLaren
Subjects: Genetics, 0303 health sciences, Genomics, Heritability, Biology, medicine.disease, Genome, Phenotype, Genetic architecture, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Pleiotropy, Schizophrenia, medicine, Gene, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: Polygenic approaches using genome-wide data have been hugely successful in confirming and quantifying the heritability of complex human traits. Here, we highlight their ability to identify potential novel risk variants by looking for variants with pleiotropic effect in genetically overlapping phenotypes.We used LD Score Regression in a sample of 6,315 HIV+ European individuals and 7,247 controls to test for phenotypes genetically overlapping with susceptibility to HIV-1 infection. Using LD Hub, a web tool that performs LD Score Regression, identified two phenotypes with significant genetic overlap: schizophrenia (rG =0.19, p=0.0007 and ulcerative colitis (rG=0.22, p= 0.0061). We further showed that the genetic overlap between HIV acquisition and schizophrenia is likely driven in part by their shared overlap with cannabis use and sexual behavior. BUMHBOX analyses suggested that these genetic overlaps were driven by genome-wide pleiotropy with HIV acquisition rather than heterogeneity within the HIV acquisition sample. The two diseases identified as genetically overlapping with HIV-1 acquisition have >100 associated variants, and we tested if any of them significantly associated with HIV acquisition. We observed three variants that exceeded our threshold for statistical significance. Two of these were eQTLs in whole blood for genes coding for proteins suspected to be involved in HIV biology: rs1819333 in CCR6 (p=0.0002) and rs4932178 in FURIN (p=0.00033). However, no signal was found for these variants in two smaller African samples totaling 1015 cases and 963 controls, though the mode of acquisition and genetic architecture of these populations differed.These results highlight the ability to use polygenic methods to gain new insights into complex diseases and identify potential associations with individual variants. Crucially, the leveraging of existing, publically available data makes these methods a cost-effective approach. In this case, our results add to the evidence for the role of risk taking behavior and inflammation of the bowel in HIV acquisition.Author SummaryThe biology of what puts certain individuals at greater risk of HIV acquisition is poorly understood. Using several novel polygenic methods, we identify supporting evidence for two important factors leading to acquisition. First, the role of an individual’s genetic predisposition to risk taking behaviours such as number of sexual partners, age at first sexual intercourse drug use, and mental health problems. Second, the role of gut inflammation, in particular a genetic overlap between HIV acquisition with inflammatory bowel disease and the potential role of CCR6 during infection.
Published: 2017

46. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

Author: Emmi Tikkanen, Pascal Guénel, Rico Rueedi, Hamdi Mbarek, Gerardo Heiss, Hilary K. Finucane, Jing Hua Zhao, Peter K. Joshi, Mark I. McCarthy, Frank B. Hu, Stephen J. Chanock, Manjeet K. Bolla, Sandosh Padmanabhan, Vilmundur Gudnason, Chunyan He, Aarno Palotie, Reedik Mägi, Joe Dennis, Nicholas G. Martin, Behrooz Z. Alizadeh, Elisabeth Widen, Caroline Hayward, Penelope A. Lind, Magdalena Zoledziewska, Ayellet V. Segrè, Fergus J. Couch, Massimo Mangino, Melissa C. Southey, Immaculata De Vivo, Yongmei Liu, Ute Hamann, Angela Cox, Maartje J. Hooning, Iffat Rahman, Mitul Shah, Eric Boerwinkle, Matthias W. Beckmann, Catharina A. Hartman, Tanguy Corre, Kathryn L. Lunetta, Thérèse Truong, Anna Marie Mulligan, Caterina Barbieri, Robert Winqvist, Lili Milani, Cristina Menni, Frits R. Rosendaal, Pau Navarro, Christian Gieger, Ken K. Ong, Stig E. Bojesen, Susan M. Ring, Marjanka K. Schmidt, George McMahon, Deborah J. Thompson, Robert Karlsson, Nicholas J. Timpson, M. Arfan Ikram, Alexander Teumer, Jingmei Li, Christa Meisinger, Diana L. Cousminer, Doris Stöckl, Heli Nevanlinna, Teresa Nutile, Tim D. Spector, Eva Albrecht, Murielle Bochud, Linda Broer, Felix R. Day, Sven Bergmann, Renée de Mutsert, Nicholas J. Wareham, Marjo-Riitta Järvelin, Marzyeh Amini, Elisabeth Altmaier, Isabel dos-Santos-Silva, Peter Vollenweider, Douglas F. Easton, Tamara B. Harris, Ellen A. Nohr, Paul D.P. Pharoah, David J. Porteous, Jenny A. Visser, Ilja M. Nolte, Genevieve Lachance, Thomas Meitinger, Archie Campbell, Thomas Brüning, Graham G. Giles, Johan G. Eriksson, Nancy L. Pedersen, George Davey Smith, Gonneke Willemsen, Joanne M. Murabito, Francesco Cucca, Daniel I. Chasman, Eleonora Porcu, Nora Franceschini, Thibaud Boutin, Ulla Sovio, Roger L. Milne, Annette Peters, Lisette Stolk, Paul M. Ridker, Claudia Langenberg, Patrick Sulem, Toshiko Tanaka, Marike Gabrielson, Judith S. Brand, Unnur Thorsteindottir, Alison M. Dunning, Marina Ciullo, Julie E. Buring, Harold Snieder, Lude Franke, Meir J. Stampfer, Po-Ru Loh, Julian Peto, Ellen W. Demerath, Sheila Ulivi, Ivana Kolcic, Maristella Steri, Jouke J. Hottenga, Amanda B. Spurdle, Tõnu Esko, Katherine S. Pollard, Eulalia Catamo, Anneli Pouta, Kyriaki Michailidou, Dieter Flesch-Janys, James F. Wilson, Kamila Czene, Sean Whalen, Diether Lambrechts, Abhishek Sarkar, Laura Crisponi, Jonathan Tyrer, Antonietta Robino, Sara Lindström, Harald Grallert, Stefania Lenarduzzi, Peter Kraft, Patrik K. E. Magnusson, Lavinia Paternoster, Digna R. Velez Edwards, Mike A. Nalls, Per Hall, Joyce Y. Tung, Cinzia Sala, Lindsay Fernández-Rhodes, Ayush Giri, Hiltrud Brauch, André G. Uitterlinden, Alkes L. Price, Tracy A. O'Mara, Lynda M. Rose, John L. Hopper, David A. Hinds, Katherine S. Ruth, Arto Mannermaa, Uwe Völker, Rossella Sorice, Zoltán Kutalik, Debbie A Lawlor, Georgia Chenevix-Trench, Anna Murray, Albertine J. Oldehinkel, Bruce H. R. Wolffenbuttel, Hae Kyung Im, Dale R. Nyholt, Lenore J. Launer, Andres Metspalu, Irene L. Andrulis, Konstantin Strauch, Albert V. Smith, Daniela Toniolo, Eco J. C. de Geus, Jenny Chang-Claude, Marek Zygmunt, Dorret I. Boomsma, Harry Campbell, Peter Devilee, Henry Völzke, Daniela Ruggiero, Dennis O. Mook-Kanamori, John R. B. Perry, Javier Benitez, Grant W. Montgomery, David J. Hunter, David Karasik, Luigi Ferrucci, Emily Hallberg, Stefania Bandinelli, Hermann Brenner, Raymond Noordam, Sarah E. Medland, Peter A. Fasching, Qin Wang, Ilaria Gandin, Manolis Kellis, Hannes Helgason, Igor Rudan, Paolo Radice, Michela Traglia, Jian'an Luan, Robert A. Scott, Brumat Marco, Veronique Vitart, Kari Stefansson, Katharina E. Schraut, Ko Willems van Dijk, Ozren Polasek, Daniel F. Gudbjartsson, Natalia Perjakova, Joop S.E. Laven, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Art and Culture, History, Antiquity, Day, Felix R., Thompson, Deborah J., Helgason, Hanne, Chasman, Daniel I., Finucane, Hilary, Sulem, Patrick, Ruth, Katherine S., Whalen, Sean, Sarkar, Abhishek K., Albrecht, Eva, Altmaier, Elisabeth, Amini, Marzyeh, Barbieri, CATERINA MARIA, Boutin, Thibaud, Campbell, Archie, Demerath, Ellen, Giri, Ayush, He, Chunyan, Hottenga, Jouke J., Karlsson, Robert, Kolcic, Ivana, Loh, Po Ru, Lunetta, Kathryn L., Mangino, Massimo, Brumat, Marco, Mcmahon, George, Medland, Sarah E., Nolte, Ilja M., Noordam, Raymond, Nutile, Teresa, Paternoster, Lavinia, Perjakova, Natalia, Porcu, Eleonora, Rose, Lynda M., Schraut, Katharina E., Segrã¨, Ayellet V., Smith, Albert V., Stolk, Lisette, Teumer, Alexander, Andrulis, Irene L., Bandinelli, Stefania, Beckmann, Matthias W., Benitez, Javier, Bergmann, Sven, Bochud, Murielle, Boerwinkle, Eric, Bojesen, Stig E., Bolla, Manjeet K., Brand, Judith S., Brauch, Hiltrud, Brenner, Hermann, Broer, Linda, Brã¼ning, Thoma, Buring, Julie E., Campbell, Harry, Catamo, Eulalia, Chanock, Stephen, Chenevix Trench, Georgia, Corre, Tanguy, Couch, Fergus J., Cousminer, Diana L., Cox, Angela, Crisponi, Laura, Czene, Kamila, Davey Smith, George, De Geus, Eco J. C. N., De Mutsert, Renã©e, De Vivo, Immaculata, Dennis, Joe, Devilee, Peter, Dos Santos Silva, Isabel, Dunning, Alison M., Eriksson, Johan G., Fasching, Peter A., FernÃ¡ndez Rhodes, Lindsay, Ferrucci, Luigi, Flesch Janys, Dieter, Franke, Lude, Gabrielson, Marike, Gandin, Ilaria, Giles, Graham G., Grallert, Harald, Gudbjartsson, Daniel F., Guã©nel, Pascal, Hall, Per, Hallberg, Emily, Hamann, Ute, Harris, Tamara B., Hartman, Catharina A., Heiss, Gerardo, Hooning, Maartje J., Hopper, John L., Hu, Frank, Hunter, David J., Ikram, M. Arfan, Im, Hae Kyung, Jã¤rvelin, Marjo Riitta, Joshi, Peter K., Karasik, David, Kellis, Manoli, Kutalik, Zoltan, Lachance, Genevieve, Lambrechts, Diether, Langenberg, Claudia, Launer, Lenore J., Laven, Joop S. E., Lenarduzzi, Stefania, Li, Jingmei, Lind, Penelope A., Lindstrom, Sara, Liu, Yongmei, Luan, Jian'An, Mã¤gi, Reedik, Mannermaa, Arto, Mbarek, Hamdi, Mccarthy, Mark I., Meisinger, Christa, Meitinger, Thoma, Menni, Cristina, Metspalu, Andre, Michailidou, Kyriaki, Milani, Lili, Milne, Roger L., Montgomery, Grant W., Mulligan, Anna M., Nalls, Mike A., Navarro, Pau, Nevanlinna, Heli, Nyholt, Dale R., Oldehinkel, Albertine J., O'Mara, Tracy A., Padmanabhan, Sandosh, Palotie, Aarno, Pedersen, Nancy, Peters, Annette, Peto, Julian, Pharoah, Paul D. P., Pouta, Anneli, Radice, Paolo, Rahman, Iffat, Ring, Susan M., Robino, Antonietta, Rosendaal, Frits R., Rudan, Igor, Rueedi, Rico, Ruggiero, Daniela, Sala, Cinzia F., Schmidt, Marjanka K., Scott, Robert A., Shah, Mitul, Sorice, Rossella, Southey, Melissa C., Sovio, Ulla, Stampfer, Meir, Steri, Maristella, Strauch, Konstantin, Tanaka, Toshiko, Tikkanen, Emmi, Timpson, Nicholas J., Traglia, Michela, Truong, Thã©rã¨se, Tyrer, Jonathan P., Uitterlinden, AndrÃ© G., Edwards, Digna R. Velez, Vitart, Veronique, Vã¶lker, Uwe, Vollenweider, Peter, Wang, Qin, Widen, Elisabeth, Van Dijk, Ko Willem, Willemsen, Gonneke, Winqvist, Robert, Wolffenbuttel, Bruce H. R., Zhao, Jing Hua, Zoledziewska, Magdalena, Zygmunt, Marek, Alizadeh, Behrooz Z., Boomsma, Dorret I., Ciullo, Marina, Cucca, Francesco, Esko, Tãµnu, Franceschini, Nora, Gieger, Christian, Gudnason, Vilmundur, Hayward, Caroline, Kraft, Peter, Lawlor, Debbie A., Magnusson, Patrik K. E., Martin, Nicholas G., Mook Kanamori, Dennis O., Nohr, Ellen A., Polasek, Ozren, Porteous, David, Price, Alkes L., Ridker, Paul M., Snieder, Harold, Spector, Tim D., Stã¶ckl, Dori, Toniolo, Daniela, Ulivi, Sheila, Visser, Jenny A., Vã¶lzke, Henry, Wareham, Nicholas J., Wilson, James F., LifeLines Cohort, Study, Interact, Consortium, Kconfab/aocs, Investigator, Endometrial Cancer Association, Consortium, Ovarian Cancer Association, Consortium, Practical, Consortium, Spurdle, Amanda B., Thorsteindottir, Unnur, Pollard, Katherine S., Easton, Douglas F., Tung, Joyce Y., Chang Claude, Jenny, Hinds, David, Murray, Anna, Murabito, Joanne M., Stefansson, Kari, Ong, Ken K., Perry, John R. B., Internal Medicine, Erasmus MC other, Medical Oncology, Epidemiology, Obstetrics & Gynecology, Day, Felix [0000-0003-3789-7651], Thompson, Deborah [0000-0003-1465-5799], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Langenberg, Claudia [0000-0002-5017-7344], Luan, Jian'an [0000-0003-3137-6337], Pharoah, Paul [0000-0001-8494-732X], Sovio, Ulla [0000-0002-0799-1105], Tyrer, Jonathan [0000-0003-3724-4757], Zhao, Jing Hua [0000-0003-4930-3582], Wareham, Nicholas [0000-0003-1422-2993], Easton, Douglas [0000-0003-2444-3247], Ong, Kenneth [0000-0003-4689-7530], Perry, John [0000-0001-6483-3771], Apollo - University of Cambridge Repository, Massachusetts Institute of Technology. Department of Mathematics, and Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Subjects: 0301 basic medicine, Male, Netherlands Twin Register (NTR), Ovarian Cancer Association Consortium, LOCI, Genome-wide association study, cancer risk, Menarche/genetics, Bioinformatics, GWAS, menarche, puberty, Body Mass Index, Risk Factors, Neoplasms, Databases, Genetic, WIDE ASSOCIATION, Endometrial Cancer Association Consortium, Ribonucleoproteins/genetics, 2. Zero hunger, Genetics, Age Factors, Genetics GWAS menarche, reproductive disorders, Neoplasms/genetics, 3. Good health, Ribonucleoproteins, Menarche, MENDELIAN RANDOMIZATION, Intercellular Signaling Peptides and Proteins, GROWTH, Female, TRAITS, Population variance, Intercellular Signaling Peptides and Proteins/genetics, Adolescent, Ubiquitin-Protein Ligases, kConFab/AOCS Investigators, Quantitative Trait Loci, Quantitative trait locus, Biology, METABOLISM, INHERITANCE, Polymorphism, Single Nucleotide, PRACTICAL consortium, 03 medical and health sciences, Genomic Imprinting, SDG 3 - Good Health and Well-being, Mendelian randomization, REGRESSION, medicine, Journal Article, Humans, cancer, Genetic Predisposition to Disease, 1000 Genomes Project, Membrane Proteins/genetics, METAANALYSIS, Puberty, Calcium-Binding Proteins, Membrane Proteins, Cancer, InterAct Consortium, Heritability, medicine.disease, BODY-MASS INDEX, 030104 developmental biology, genome-wide association studies, Puberty/genetics, LifeLines Cohort Study, Genome-Wide Association Study
Abstract: The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to similar to 370,000 women, we identify 389 independent signals (P
Published: 2017

47. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

Author: Tazeen H. Jafar, Lars Lind, Peter Almgren, Wendy Winckler, Eitaro Nakashima, Young Min Cho, Annette Peters, Rona J. Strawbridge, Ananda R. Wickremasinghe, Katharine R. Owen, Lee-Ming Chuang, Tien-Jyun Chang, Graeme I. Bell, James B. Meigs, Bill Musk, Timo A. Lakka, Elin Grundberg, Wei Lu, Sarah Edkins, George Dedoussis, Weiping Jia, Danish Saleheen, Suthesh Sivapalaratnam, Maria Samuel, Tien Yin Wong, Lu Qi, Pierre Fontanillas, Momoko Horikoshi, Jirong Long, Abdul Basit, Anubha Mahajan, Andrew T. Hattersley, Markus M. Nöthen, Denis Rybin, Inger Njølstad, S. Krithika, Miguel Cruz, Delilah Zabaneh, Leena Peltonen, Jasmina Kravic, Sangsoo Kim, David Couper, Lori L. Bonnycastle, Heather M. Stringham, Yi-Cheng Chang, Paul Elliott, Eric J.G. Sijbrands, Nita G. Forouhi, Alena Stančáková, Ghazala Mirza, Robert W. Lawrence, Ruth J. F. Loos, Norman Klopp, Shiro Maeda, Martina Müller-Nurasyid, Jer-Yuarn Wu, Jianjun Liu, Kee Seng Chia, Elodie Eury, Loukianos S. Rallidis, Timothy M. Frayling, Ken Yamamoto, David Altshuler, Gunnar Sigurosson, Harald Grallert, Jackie F. Price, Barbara Thorand, Jouko Saramies, Malene M. Kristensen, Sonali Pechlivanis, Inês Barroso, Jong-Young Lee, Melissa Parkin, Josée Dupuis, Stéphane Lobbens, Jesús Kumate, Elena Tremoli, Sudhir Kowlessur, Xueling Sim, Norihiro Kato, Philippe Froguel, Kathleen Stirrups, Eero Lindholm, Alex S. F. Doney, Andres Metspalu, Yu-Tang Gao, Roman Wennauer, Xiao-Ou Shu, Marilyn C. Cornelis, Veikko Salomaa, Nanette R. Lee, Johanna Kuusisto, Caroline S. Fox, Man Li, James Scott, Wing-Yee So, Andrew R. Wood, Inga Prokopenko, Oddgeir L. Holmen, Tin Aung, Ryoichi Takayanagi, Chen Suo, Hara Kazuo, Carl G. P. Platou, Ann M. Kelly, Teresa Ferreira, Karl-Heinz Jöckel, Wei-Yen Lim, James F. Wilson, Tom Forsén, Qi Sun, Valur Emilsson, Gonçalo R. Abecasis, Fan Zhang, Timo Saaristo, Harry Campbell, Ying Wu, Mark Seielstad, Wei Zheng, Han Chen, Stavroula Kanoni, Yuqian Bao, Jose C. Florez, Wan Ting Tay, Ronald C. WMa, Gerald Steinbach, Min Jin Go, Rong Zhang, Junbin Liang, Vasiliki Lagou, Leif Groop, Emil Rehnberg, Nabi Shah, Weihua Zhang, Yun Li, Bengt Sennblad, Olle Melander, Nancy L. Pedersen, Muhammed Islam, Jaakko Tuomilehto, Young Jin Kim, Richard N. Bergman, Juliana C.N. Chan, Eleftheria Zeggini, Andrew D. Johnson, Kees Hovingh, Joban Sehmi, Rainer Rauramaa, Satu Männistö, Reedik Mägi, Samuel Liju, Mingyu Yang, Ayellet V. Segrè, Noël P. Burtt, Mozhgan Dorkhan, Beverley Balkau, Neelam Hassanali, Hyun Min Kang, Fabrizio Veglia, Eeva Korpi-Hyövälti, Loic Yengo, Elizabeth J. Rossin, Angela Silveira, Maggie C.Y. Ng, Yuan-Tsong Chen, Anders Hamsten, David R. Matthews, Mark J. Caulfield, Emmi Tikkanen, Tanya M. Teslovich, John R. B. Perry, Karen L. Mohlke, Sarah E. Hunt, Soo Heon Kwak, Jorge Escobedo, Christopher J. Groves, Ulf de Faire, Jeremy B M Jowett, Gudmar Thorleifsson, Michael Roden, Evelin Mihailov, Viswanathan Mohan, Craig L. Hanis, Thomas WMühleisen, Congrong Wang, Sonia Shah, Kyle J. Gaulton, Jaspal S. Kooner, Jiro Nakamura, Mustafa Atalay, Linda S. Adair, S Wiltshire, Tõnu Esko, Anna Jonsson, Antigone S. Dimas, Karin Leander, Li Ching Chang, George B. Grant, Bo Isomaa, Anne U. Jackson, Claudia Langenberg, Kristian Hveem, Yoon Shin Cho, Astradur B. Hreidarsson, Xu Wang, Keizo Ohnaka, Alexandra C. Nica, Simon D. Rees, Pau Navarro, Sekar Kathiresan, Rob M. van Dam, Zafar I. Hydrie, Bok Ghee Han, Francis S. Collins, Fuu Jen Tsai, Unnur Thorsteinsdottir, Ross M. Fraser, Caroline Hayward, Cornelia M. van Duijn, Samuli Ripatti, Mieke D. Trip, Hyung Lae Kim, Rafn Benediktsson, Candace Guiducci, Bruna Gigante, Kyong Soo Park, Wen Hong L. Kao, Tom Wilsgaard, Leena Kinnunen, John Danesh, Alan James, Alan R. Shuldiner, Mitsuhiro Yokota, Jen Mai Lee, Kari Stefansson, Erik Ingelsson, Colin N. A. Palmer, David J. Hunter, Paul Zimmet, Manickam Chidambaram, Sirkka Keinänen-Kiukaanniemi, Laura J. Scott, Susanne Moebus, Benjamin F. Voight, Wolfgang Rathmann, Hassan Khan, Thomas Illig, Prasad Katulanda, Christian Gieger, Andrew D. Morris, Yik Ying Teo, Andrew P. Morris, Venkatesan Radha, N. William Rayner, Johan G. Eriksson, Christian Dina, Igor Rudan, Sailaja Vedantam, Cheng Hu, James S. Pankow, Ann-Christine Syvänen, Karl Gertow, Valeriya Lyssenko, Guillaume Charpentier, Albert Hofman, Chiea Chuen Khor, Joseph Trakalo, Peter Kraft, Takashi Kadowaki, Qiuyin Cai, John C. Chambers, André G. Uitterlinden, Simon C. Potter, Nicholas J. Wareham, Soumya Raychaudhuri, Jian'an Luan, Tiinamaija Tuomi, Anthony H. Barnett, Juha Saltevo, Robert A. Scott, Valgerdur Steinthorsdottir, Peng Keat Ng, Mark I. McCarthy, Åsa K. Hedman, Kerrin S. Small, Julia Meyer, Frank B. Hu, Cecilia M. Lindgren, Jennifer E. Below, Nancy J. Cox, Jennie Hui, Andrew Crenshaw, Latonya F. Been, Nam H. Cho, Janani Pinidiyapathirage, A. Samad Shera, Bernhard OBoehm, Jason Carey, Augustine Kong, Twee Hee Ong, Philippe M. Frossard, Donald W. Bowden, Toshimasa Yamauchi, Steve E. Humphries, Cordelia Langford, Xinzhong Li, Hiroshi Ikegami, Stéphane Cauchi, Ching-Ti Liu, Michael Boehnke, Peter M. Nilsson, Debashish Das, John Beilby, Robin Young, Christian Herder, Asif Rasheed, Neil Robertson, Raimund Erbel, Fumihiko Takeuchi, Markku Laakso, Esteban J. Parra, Panos Deloukas, Eric Boerwinkle, Adan Valladares-Salgado, Chien-Hsiun Chen, Kay-Tee Khaw, Damiano Baldassarre, Ashok Kumar, E. Shyong Tai, Peter S. Chines, Dharambir KSanghera, Peter Donnelly, [ 1 ] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England [ 2 ] Natl Inst Hlth, Ctr Genome Sci, Gangoe Myeon, Yeonje Ri, South Korea [ 3 ] Univ London Imperial Coll Sci Technol & Med, London, England [ 4 ] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA [ 5 ] Univ Oxford, Oxford Ctr Diabet Endocrinol & Metab, Oxford OX1 2JD, England [ 6 ] NHLBI, Framingham Heart Study, Framingham, MA USA [ 7 ] Wake Forest Sch Med, Ctr Genom & Personalized Med Res, Winston Salem, NC USA [ 8 ] Wake Forest Sch Med, Ctr Diabet Res, Winston Salem, NC USA [ 9 ] Univ London Imperial Coll Sci Technol & Med, Hammersmith Hosp, London, England [ 10 ] Univ Cambridge, Dept Publ Hlth & Primary Care, Cambridge, England [ 11 ] Ctr Noncommunicable Dis Pakistan, Karachi, Pakistan [ 12 ] Natl Univ Singapore, Dept Epidemiol & Publ Hlth, Singapore 117548, Singapore [ 13 ] Wellcome Trust Sanger Inst, Cambridge, England [ 14 ] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA [ 15 ] Univ N Carolina, Dept Nutr, Chapel Hill, NC USA [ 16 ] Lund Univ, Scania Univ Hosp, Dept Clin Sci Malmo, Ctr Diabet, Malmo, Sweden [ 17 ] Univ Eastern Finland, Inst Biomed, Kuopio, Finland [ 18 ] Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore [ 19 ] Natl Univ Singapore, Dept Ophthalmol, Singapore 117548, Singapore [ 20 ] IRCCS, Ctr Cardiol Monzino, Milan, Italy [ 21 ] Univ Milan, Dept Pharmacol Sci, Milan, Italy [ 22 ] INSERM, Ctr Rech Epidemiol & Sante Populat CESP, U1018, Villejuif, France [ 23 ] Univ Paris 11, UMRS 1018, Villejuif, France [ 24 ] Shanghai Jiao Tong Univ, Affiliated Peoples Hosp 6, Dept Endocrinol & Metab, Shanghai Key Lab Diabet Mellitus,Shanghai Diabet, Shanghai 200030, Peoples R China [ 25 ] Univ Birmingham, Coll Med & Dent Sci, Birmingham, W Midlands, England [ 26 ] Heart England Natl Hlth Serv NHS Fdn Trust, Ctr Biomed Res, Birmingham, W Midlands, England [ 27 ] Univ Cambridge, Addenbrookes Hosp, Metab Res Labs, Inst Metab Sci, Cambridge CB2 2QQ, England [ 28 ] Addenbrookes Hosp, Inst Metab Sci, Cambridge Biomed Res Ctr, Natl Inst Hlth Res, Cambridge, England [ 29 ] Baqai Inst Diabetol & Endocrinol, Karachi, Pakistan [ 30 ] Univ Oklahoma, Hlth Sci Ctr, Coll Med, Dept Pediat,Sect Genet, Oklahoma City, OK 73190 USA [ 31 ] Sir Charles Gairdner Hosp, Busselton Populat Med Res Inst, Nedlands, WA 6009, Australia [ 32 ] Queen Elizabeth II Med Ctr, PathWest Lab Med Western Australia, Nedlands, WA, Australia [ 33 ] Univ Western Australia, Sch Pathol & Lab Med, Nedlands, WA 6009, Australia [ 34 ] Univ Chicago, Dept Med, Chicago, IL 60637 USA [ 35 ] Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA [ 36 ] Univ Iceland, Fac Med, Reykjavik, Iceland [ 37 ] Landspitali Univ Hosp, Reykjavik, Iceland [ 38 ] Cedars Sinai Med Ctr, Diabet & Obes Res Inst, Los Angeles, CA 90048 USA [ 39 ] Univ Med Ctr Ulm, Div Endocrinol & Diabet, Dept Internal Med, Ulm, Germany [ 40 ] Nanyang Technol Univ, Lee Kong Chian LKC Sch Med, Singapore 639798, Singapore [ 41 ] Univ Texas Hlth Sci Ctr Houston, Ctr Human Genet, Houston, TX 77030 USA [ 42 ] Baylor Coll Med, Human Genome Sequencing Ctr, Houston, TX 77030 USA [ 43 ] NHGRI, NIH, Bethesda, MD 20892 USA [ 44 ] Broad Inst Harvard & Massachusetts Inst Technol M, Cambridge, MA USA [ 45 ] Vanderbilt Univ, Sch Med, Vanderbilt Ingram Canc Ctr, Vanderbilt Epidemiol Ctr,Dept Med, Nashville, TN 37212 USA [ 46 ] Univ Edinburgh, Ctr Populat Hlth Sci, Edinburgh, Midlothian, Scotland [ 47 ] Univ Edinburgh, Western Gen Hosp, MRC, Inst Genet & Mol Med, Edinburgh, Midlothian, Scotland [ 48 ] CNRS, Unite Mixte Rech UMR 8199, Inst Biol, Lille, France [ 49 ] Univ Lille 2, Inst Pasteur, Lille, France [ 50 ] Queen Mary Univ London, Barts & London Sch Med, William Harvey Res Inst, London, England [ 51 ] Queen Mary Univ London, Barts & London Sch Med, William Harvey Res Inst, Barts & London Genome Ctr, London, England [ 52 ] Chinese Univ Hong Kong, Prince Wales Hosp, Dept Med & Therapeut, Hong Kong, Hong Kong, Peoples R China [ 53 ] Acad Sinica, Inst Biomed Sci, Taipei, Taiwan [ 54 ] Natl Taiwan Univ Hosp, Dept Internal Med, Taipei 100, Taiwan [ 55 ] Corbeil Essonnes Hosp, Endocrinol Diabetol Unit, Corbeil Essonnes, France [ 56 ] China Med Univ, Sch Chinese Med, Taichung, Taiwan [ 57 ] Boston Univ, Sch Publ Hlth, Dept Biostat, Boston, MA USA [ 58 ] Natl Univ Singapore, Ctr Mol Epidemiol, Singapore 117548, Singapore [ 59 ] Indian Council Med Res, Adv Ctr Genom Diabet, Madras Diabet Res Fdn, Dept Mol Genet, Madras, Tamil Nadu, India [ 60 ] Ajou Univ, Sch Med, Dept Prevent Med, Suwon 441749, South Korea [ 61 ] Seoul Natl Univ, Coll Med, Dept Internal Med, Seoul 151, South Korea [ 62 ] Natl Taiwan Univ, Sch Med, Grad Inst Clin Med, Taipei 10764, Taiwan [ 63 ] Harvard Univ, Sch Publ Hlth, Dept Nutr & Epidemiol, Boston, MA 02115 USA [ 64 ] Univ N Carolina, Dept Biostat, Collaborat Studies Coordinating Ctr, Chapel Hill, NC USA [ 65 ] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore 117548, Singapore [ 66 ] Ealing Hosp NHS Trust, Southall, Middx, England [ 67 ] Karolinska Inst, Inst Environm Med, Divis Cardiovasc Epidemiol, S-10401 Stockholm, Sweden [ 68 ] Harokopio Univ, Dept Dietet Nutr, Athens, Greece [ 69 ] Univ Geneva, Sch Med, Dept Genet Med & Dev, CH-1211 Geneva, Switzerland [ 70 ] Biomed Sci Res Ctr Alexander Fleming, Vari, Greece [ 71 ] INSERM, UMR 1087, Nantes, France [ 72 ] CNRS, UMR 6291, Nantes, France [ 73 ] Univ Nantes, Nantes, France [ 74 ] Univ Dundee, Ninewells Hosp, Biomed Res Inst, Diabet Res Ctr, Dundee, Scotland [ 75 ] Univ Dundee, Ninewells Hosp, Biomed Res Inst, Pharmacogen Ctr, Dundee, Scotland [ 76 ] Univ Oxford, Dept Stat, Oxford OX1 3TG, England [ 77 ] Erasmus Univ, Med Ctr, Dept Epidemiol, Rotterdam, Netherlands [ 78 ] Netherlands Consortium Healthy Ageing, Netherland Genom Initiat, Rotterdam, Netherlands [ 79 ] Ctr Med Syst Biol, Rotterdam, Netherlands [ 80 ] Univ London Imperial Coll Sci Technol & Med, MRC, Hlth Protect Agcy, Ctr Environm & Hlth, London, England [ 81 ] Iceland Heart Assoc, Kopavogur, Iceland [ 82 ] Univ Duisburg Essen, Univ Hosp Essen, West German Heart Ctr, Clin Cardiol, Essen, Germany [ 83 ] Natl Inst Hlth & Welf, Dept Chron Dis Prevent, Helsinki, Finland [ 84 ] Univ Helsinki, Dept Gen Practice & Primary Hlth Care, Helsinki, Finland [ 85 ] Univ Helsinki, Gen Hosp, Unit Gen Practice, Helsinki, Finland [ 86 ] Folkhalsan Res Ctr, Helsinki, Finland [ 87 ] Inst Mexicano Seguro Social, Hosp Gen Reg 1, Unidad Invest Epidemiol Clin, Mexico City, DF, Mexico [ 88 ] Univ Tartu, Estonian Genome Ctr, EE-50090 Tartu, Estonia [ 89 ] Univ Tartu, Inst Mol & Cell Biol, EE-50090 Tartu, Estonia [ 90 ] Broad Inst, Program Med & Populat Genet, Cambridge, MA USA [ 91 ] Childrens Hosp, Div Genet & Endocrinol, Boston, MA 02115 USA [ 92 ] Harvard Univ, Sch Med, Dept Med, Boston, MA USA [ 93 ] Massachusetts Gen Hosp, Ctr Human Genet Res, Boston, MA 02114 USA [ 94 ] Massachusetts Gen Hosp, Diabet Res Ctr, Diabet Unit, Boston, MA 02114 USA [ 95 ] Addenbrookes Hosp, Inst Metab Sci, MRC, Epidemiol Unit, Cambridge, England [ 96 ] Vaasa Hlth Care Ctr, Vaasa, Finland [ 97 ] Brigham & Womens Hosp, Div Endocrinol & Metab, Boston, MA 02115 USA [ 98 ] Harvard Univ, Sch Med, Boston, MA USA [ 99 ] Univ Exeter, Peninsula Med Sch, Inst Biomed & Clin Sci, Exeter, Devon, England [ 100 ] Shanghai Canc Inst, Dept Epidemiol, Shanghai, Peoples R China [ 101 ] Karolinska Inst, Dept Med Solna, Atherosclerosis Res Unit, Stockholm, Sweden [ 102 ] Karolinska Univ, Hosp Solna, Ctr Mol Med, Stockholm, Sweden [ 103 ] Helmholtz Zentrum Muenchen, Inst Genet Epidemiol, Neuherberg, Germany [ 104 ] Helmholtz Zentrum Muenchen, Res Unit Mol Epidemiol, Neuherberg, Germany [ 105 ] Univ Munich, Clin Cooperat Grp Diabet, Munich, Germany [ 106 ] Helmholtz Zentrum Muenchen, Munich, Germany [ 107 ] Tech Univ Munich, Clin Cooperat Grp Nutrigen & Type Diabet 2, Munich, Germany [ 108 ] German Ctr Diabet Res DZD, Neuherberg, Germany [ 109 ] Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England [ 110 ] Univ Tokyo, Grad Sch Med, Dept Diabet & Metab Dis, Tokyo, Japan [ 111 ] Univ Exeter, Peninsula Med Sch, Inst Biomed & Clin Sci, Exeter, Devon, England [ 112 ] Univ Dusseldorf, Leibniz Ctr Diabet Res, German Diabet Ctr, Inst Clin Diabetol, Dusseldorf, Germany [ 113 ] Norwegian Univ Sci & Technol, Dept Publ Hlth & Gen Practice, HUNT Res Ctr, Levanger, Norway [ 114 ] Univ Amsterdam, Acad Med Ctr, Dept Vasc Med, NL-1105 AZ Amsterdam, Netherlands [ 115 ] Brigham & Womens Hosp, Dept Med, Channing Lab, Boston, MA USA [ 116 ] Univ Western Australia, Sch Populat Hlth, Nedlands, WA 6009, Australia [ 117 ] UCL, Inst Cardiovasc Sci, London, England [ 118 ] Harvard Univ, Sch Publ Hlth, Program Mol & Genet Epidemiol, Boston, MA 02115 USA [ 119 ] Kinki Univ, Sch Med, Dept Diabet Endocrinol & Metab, Osaka 589, Japan [ 120 ] Hannover Med Sch, Hannover Unified Biobank, Hannover, Germany [ 121 ] Univ Uppsala Hosp, Dept Mol Sci, Mol Epidemiol & Sci Life Lab, Uppsala, Sweden [ 122 ] Aga Khan Univ, Dept Community Hlth Sci, Karachi, Pakistan [ 123 ] Dept Social Serv & Hlth Care, Pietarsaari, Finland [ 124 ] Aga Khan Univ, Dept Med, Karachi, Pakistan [ 125 ] Queen Elizabeth II Med Ctr, West Australian Sleep Disorders Res Inst, Dept Pulm Physiol & Sleep Med, Nedlands, WA, Australia [ 126 ] Univ Western Australia, Sch Med & Pharmacol, Nedlands, WA 6009, Australia [ 127 ] Univ Hosp Essen, Inst Med Informat Biometry & Epidemiol, Essen, Germany [ 128 ] Heart & Diabet Inst, Baker Int Diabet Inst IDI, Melbourne, Australia [ 129 ] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA [ 130 ] Massachusetts Gen Hosp, Cardiovasc Res Ctr, Boston, MA 02114 USA [ 131 ] Natl Ctr Global Hlth & Med, Res Inst, Shinjuku Ku, Tokyo, Japan [ 132 ] Univ Colombo, Dept Clin Med, Diabet Res Unit, Colombo, Sri Lanka [ 133 ] Univ Oulu, Inst Hlth Sci, Fac Med, Oulu, Finland [ 134 ] Oulu Univ Hosp, Unit Gen Practice, Oulu, Finland [ 135 ] Agcy Sci Technol & Res, Genome Inst Singapore, Singapore, Singapore [ 136 ] Ewha Womans Univ, Sch Med, Dept Biochem, Seoul, South Korea [ 137 ] Soongsil Univ, Sch Syst Biomed Sci, Seoul, South Korea [ 138 ] Natl Inst Hlth & Welf, Diabet Prevent Unit, Helsinki, Finland [ 139 ] deCODE Genet, Reykjavik, Iceland [ 140 ] South Ostrobothnia Cent Hosp, Seinajoki, Finland [ 141 ] Minist Hlth, Port Louis, Mauritius [ 142 ] Univ Toronto, Dept Anthropol, Mississauga, ON L5L 1C6, Canada [ 143 ] Fdn IMSS, Mexico City, DF, Mexico [ 144 ] Univ Eastern Finland, Dept Med, Kuopio, Finland [ 145 ] Kuopio Univ Hosp, SF-70210 Kuopio, Finland [ 146 ] Kuopio Res Inst Exercise Med, Kuopio, Finland [ 147 ] Univ Western Australia, Ctr Genet Epidemiol & Biostat, Nedlands, WA 6009, Australia [ 148 ] Univ San Carlos, Off Populat Studies Fdn Inc, Cebu, Philippines [ 149 ] Univ London Imperial Coll Sci Technol & Med, Hammersmith Hosp, Natl Heart & Lung Inst, London, England [ 150 ] Univ N Carolina, Dept Genet, Chapel Hill, NC USA [ 151 ] Univ N Carolina, Dept Biostat, Chapel Hill, NC USA [ 152 ] Beijing Genom Inst, Shenzhen, Peoples R China [ 153 ] Uppsala Univ, Akad Sjukhuset, Dept Med Sci, Uppsala, Sweden [ 154 ] Mt Sinai Sch Med, Charles R Bronfman Inst Personalized Med, New York, NY USA [ 155 ] Mt Sinai Sch Med, Child Hlth & Dev Inst, New York, NY USA [ 156 ] Mt Sinai Sch Med, Dept Prevent Med, New York, NY USA [ 157 ] Shanghai Inst Prevent Med, Shanghai, Peoples R China [ 158 ] Massachusetts Gen Hosp, Div Gen Med, Boston, MA 02114 USA [ 159 ] Dr Mohans Diabet Specialties Ctr, Madras, Tamil Nadu, India [ 160 ] Univ Bonn, Inst Human Genet, Bonn, Germany [ 161 ] Univ Bonn, Life & Brain Ctr, Dept Genom, Bonn, Germany [ 162 ] Univ Munich, Chair Genet Epidemiol, Inst Med Informat Biometry & Epidemiol, Munich, Germany [ 163 ] Univ Munich, Univ Hosp Grosshadern, Dept Med 1, Munich, Germany [ 164 ] Sir Charles Gairdner Hosp, Nedlands, WA 6009, Australia [ 165 ] Nagoya Univ, Grad Sch Med, Div Endocrinol & Diabet, Dept Internal Med, Nagoya, Aichi 4648601, Japan [ 166 ] Chubu Rosai Hosp, Dept Endocrinol & Diabet, Nagoya, Aichi, Japan [ 167 ] Univ Tromso, Fac Hlth Sci, Dept Community Med, Tromso, Norway [ 168 ] Kyushu Univ, Grad Sch Med Sci, Dept Geriatr Med, Higashi Ku, Fukuoka 812, Japan [ 169 ] Churchill Hosp, Hlth Res Biomed Res Ctr, Oxford Natl Inst, Oxford OX3 7LJ, England [ 170 ] Univ Minnesota, Div Epidemiol & Community Hlth, Minneapolis, MN USA [ 171 ] Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Dept Mol Med & Biopharmaceut Sci, World Class Univ Program, Seoul, South Korea [ 172 ] Seoul Natl Univ, Coll Med, Seoul, South Korea [ 173 ] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden [ 174 ] Inst Mol Med Finland FIMM, Helsinki, Finland [ 175 ] Helmholtz Zentrum Muenchen, Inst Epidemiol 2, Neuherberg, Germany [ 176 ] Univ Kelaniya, Fac Med, Dept Publ Hlth, Ragama, Sri Lanka [ 177 ] Nord Trondelag Hlth Trust, Levanger Hosp, Dept Internal Med, Levanger, Norway [ 178 ] Univ Gen Hosp Attikon, Athens, Greece [ 179 ] Univ Dusseldorf, Leibniz Ctr Diabet Res, German Diabet Ctr, Inst Biometr & Epidemiol, Dusseldorf, Germany [ 180 ] Kuopio Univ Hosp, Dept Clin Physiol & Nucl Med, SF-70210 Kuopio, Finland [ 181 ] Harvard Univ, Brigham & Womens Hosp, Sch Med, Div Rheumatol Immunol & Allergy, Boston, MA 02115 USA [ 182 ] Partners Ctr Personalized Genom Med, Boston, MA USA [ 183 ] Univ Dusseldorf, Dept Endocrinol & Diabetol, Dusseldorf, Germany [ 184 ] Univ Dusseldorf, Dept Metab Dis, Dusseldorf, Germany [ 185 ] Harvard Univ, Hlth Sci & Technol MD Program, Boston, MA 02115 USA [ 186 ] MIT, Boston, MA USA [ 187 ] Harvard Univ, Harvard Biol & Biomed Sci Program, Boston, MA 02115 USA [ 188 ] Boston Univ, Data Coordinating Ctr, Boston, MA 02215 USA [ 189 ] Finnish Diabet Assoc, Tampere, Finland [ 190 ] Pirkanmaa Hosp Dist, Tampere, Finland [ 191 ] Cent Finland Cent Hosp, Dept Med, Jyvaskyla, Finland [ 192 ] South Karelia Cent Hosp, Lappeenranta, Finland [ 193 ] UCL, Dept Genet Evolut & Environm, Genet Inst, London, England [ 194 ] Diabet Assoc Pakistan, Karachi, Pakistan [ 195 ] Univ Maryland, Sch Med, Div Endocrinol Diabet & Nutr, Baltimore, MD 21201 USA [ 196 ] Baltimore Vet Adm Med Ctr, Geriatr Res Educ & Clin Ctr, Baltimore, MD USA [ 197 ] Univ Maryland, Sch Med, Program Personalised & Genom Med, Baltimore, MD 21201 USA [ 198 ] Erasmus Univ, Med Ctr, Dept Internal Med, Rotterdam, Netherlands [ 199 ] Univ Ulm, Dept Clin Chem, D-89069 Ulm, Germany [ 200 ] Univ Ulm, Cent Lab, D-89069 Ulm, Germany [ 201 ] Uppsala Univ, Dept Med Sci, Uppsala, Sweden [ 202 ] Kyushu Univ, Grad Sch Med Sci, Dept Internal Med & Bioregulatory Sci, Higashi Ku, Fukuoka 812, Japan [ 203 ] Univ Helsinki, Helsinki Univ Hosp, Dept Med, Helsinki, Finland [ 204 ] Hosp Univ LaPaz IdiPAZ, Inst Invest Sanitaria, Madrid, Spain [ 205 ] Danube Univ Krems, Ctr Vasc Prevent, Krems, Austria [ 206 ] King Abdulaziz Univ, Diabet Res Grp, Jeddah 21413, Saudi Arabia [ 207 ] IMSS, Ctr Med Nacl Siglo 21, Hosp Especialidades, Unidad Invest Med Bioquim, Mexico City, DF, Mexico [ 208 ] Univ Penn, Perelman Sch Med, Dept Pharmacol, Philadelphia, PA 19104 USA [ 209 ] Univ Melbourne, Ctr Eye Res Australia, East Melbourne, Vic, Australia [ 210 ] Kyushu Univ, Med Inst Bioregulat, Res Ctr Genet Informat, Div Genome Anal,Higashi Ku, Fukuoka 812, Japan [ 211 ] Univ Lille 1, Math Lab, CNRS UMR 8524, MODAL Team,INRIA Lille Nord Europe, F-59655 Villeneuve Dascq, France [ 212 ] Aichi Gakuin Univ, Sch Dent, Dept Genome Sci, Nagoya, Aichi 464, Japan [ 213 ] Harvard Univ, Sch Med, Dept Genet, Boston, MA USA [ 214 ] Harvard Univ, Sch Med, Dept Mol Biol, Boston, MA USA [ 215 ] Massachusetts Gen Hosp, Diabet Unit, Boston, MA 02114 USA [ 216 ] Wake Forest Sch Med, Dept Biochem, Winston Salem, NC USA [ 217 ] Wake Forest Sch Med, Dept Internal Med, Winston Salem, NC USA [ 218 ] Hallym Univ, Dept Biomed Sci, Chunchon, Gangwon Do, South Korea [ 219 ] Univ Texas Hlth Sci Ctr Houston, Ctr Human Genet, Houston, TX 77030 USA [ 220 ] Imperial Coll Healthcare NHS Trust, London, England [ 221 ] Univ Calif San Francisco, Inst Human Genet, San Francisco, CA 94143 USA [ 222 ] Blood Syst Res Inst, San Francisco, CA USA [ 223 ] Natl Univ Singapore, Grad Sch Integrat Sci & Engn, Singapore 117548, Singapore [ 224 ] Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117548, Singapore [ 225 ] Natl Univ Singapore, Dept Med, Singapore 117548, Singapore [ 226 ] Duke Natl Univ Singapore, Grad Sch Med, Singapore, Singapore [ 227 ] Univ Liverpool, Dept Biostat, Liverpool L69 3BX, Merseyside, England, Obstetrics & Gynecology, Radiology & Nuclear Medicine, Surgery, Epidemiology, Dermatology, Internal Medicine, Medical Microbiology & Infectious Diseases, Medical Research Council (MRC), National Institute for Health Research, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, and Cardiology
Subjects: CHROMATIN, endocrine system diseases, South Asian Type 2 Diabetes (SAT2D) Consortium, SCALE ASSOCIATION ANALYSIS, Medizin, LOCI, Genome-wide association study, VARIANTS, 0302 clinical medicine, Risk Factors, IMPUTATION, Glucose homeostasis, 11 Medical and Health Sciences, Genetics & Heredity, Genetics, 0303 health sciences, IDENTIFY, Hispanic or Latino, 3. Good health, MAP, POPULATIONS, Medical genetics, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, Hispanic Americans, Life Sciences & Biomedicine, Asian Continental Ancestry Group, medicine.medical_specialty, European Continental Ancestry Group, TRANSETHNIC METAANALYSIS, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Article, White People, Sykursýki, 03 medical and health sciences, Asian People, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, Allele, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, Alleles, 030304 developmental biology, Genetic association, Science & Technology, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, 06 Biological Sciences, Arfgengi, Genetic architecture, INDIVIDUALS, Diabetes Mellitus, Type 2, Case-Control Studies, GLUCOSE-HOMEOSTASIS, ASSOCIATION ANALYSES, Imputation (genetics), Developmental Biology, Genome-Wide Association Study
Abstract: To access publisher's full text version of this article click on the hyperlink at the bottom of the page To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry. Canadian Institutes of Health Research Medical Research Council UK G0601261 Mexico Convocatoria SSA/IMMS/ISSSTE-CONACYT 2012-2 clave 150352 IMSS R-2011-785-018 CONACYT Salud-2007-C01-71068 US National Institutes of Health DK062370 HG000376 DK085584 DK085545 DK073541 DK085501 Wellcome Trust WT098017 WT090532 WT090367 WT098381 WT081682 WT085475 info:eu-repo/grantAgreement/EC/FP7/201413
Published: 2014

48. Genome-wide associations for birth weight and correlations with adult disease

Author: Anubha Mahajan, George McMahon, Charlotta Pisinger, Timothy M. Frayling, Elisabeth M. van Leeuwen, Felix R. Day, Virpi Lindi, Allan Vaag, Debbie A Lawlor, Natalie R. van Zuydam, Peter Kovacs, David Torrents, Bjarke Feenstra, Peter Vollenweider, David P. Strachan, Krina T. Zondervan, John R. B. Perry, Jorma Viikari, Pedro Marques-Vidal, Kalliope Panoutsopoulou, Ruifang Li-Gao, Juan Fernández-Tajes, Carolina Medina-Gomez, Nicole M. Warrington, Josep M. Mercader, Antje Körner, David M. Evans, Albert Hofman, Hans Bisgaard, Amanda J. Bennett, Eleanor Davies, Linda S. Adair, Oluf Pedersen, Mustafa Atalay, Sylvain Sebert, Ying Wu, Haja N. Kadarmideen, Ronald C.W. Ma, Lawrence J. Beilin, David M. Hougaard, Diana L. Cousminer, Louise A. Diver, Jing Hua Zhao, Nilufer Rahmioglu, Peter K. Joshi, Neil R. Robertson, Johannes Waage, Hugoline G. de Haan, Jens-Christian Holm, Dale R. Nyholt, Torben Hansen, Sara M. Willems, Sílvia Bonàs-Guarch, Carol A. Wang, Rico Rueedi, Lavinia Paternoster, James F. Wilson, Cilius Esmann Fonvig, Leo-Pekka Lyytikäinen, Hanieh Yaghootkar, Momoko Horikoshi, Gonneke Willemsen, Dennis O. Mook-Kanamori, Lisbeth Carstensen, Mariona Bustamante, Emil V. R. Appel, Christian Theil Have, Rebecca M. Reynolds, Niels Grarup, Seang-Mei Saw, Yik Ying Teo, Brian R. Walker, Anke Tönjes, Christopher J. Groves, Andrew P. Morris, Katja Pahkala, Marjolein N. Kooijman, Kyle J. Gaulton, Eskil Kreiner, Michael Stumvoll, Eleftheria Zeggini, Vincent W. V. Jaddoe, Zoltán Kutalik, Scott M. MacKenzie, George Davey Smith, Christine Power, Denise M. Scholtens, Joachim Heinrich, Samuel E. Jones, William L. Lowe, Eco J. C. de Geus, Jonathan P. Bradfield, Andrew T. Hattersley, Janine F. Felix, Wing Hung Tam, Frits R. Rosendaal, Wieland Kiess, Claudia H. T. Tam, Inga Prokopenko, Terho Lehtimäki, Frank D. Mentch, Marjo-Riitta Järvelin, Struan F.A. Grant, Santhi K. Ganesh, Fernando Rivadeneira, Thorkild I. A. Sørensen, André G. Uitterlinden, Marie Standl, Jian'an Luan, Gibran Hemani, Marcus A. Tuke, Andrew R. Wood, Robert A. Scott, Cæcilie Trier, Tarunveer S. Ahluwalia, Michael Nodzenski, Jouke-Jan Hottenga, Ken K. Ong, Po-Ru Loh, Nicholas J. Timpson, George Dedoussis, Friman Sánchez, Mark I. McCarthy, Frank Geller, Harri Niinikoski, Martine Vrijheid, Hakon Hakonarson, John P. Newnham, Xu Wang, Elina Hyppönen, Johan G. Eriksson, Craig E. Pennell, Niina Pitkänen, Rachel M. Freathy, Elisabeth Widen, Judith B. Borja, Karen L. Mohlke, Mads Melbye, Carla M. T. Tiesler, Susan M. Ring, Jessica Tyrrell, Elisabeth Thiering, Timo A. Lakka, Eileen Tai-Hui Boh, Olli T. Raitakari, Nicholas J. Wareham, Mario Murcia, Natalia Vilor-Tejedor, Katherine S. Ruth, Dorret I. Boomsma, Harry Campbell, Vasiliki Lagou, Robin N Beaumont, Klaus Bønnelykke, Claudia Langenberg, Catharina E. M. van Beijsterveldt, Mika Kähönen, Mads V. Hollegaard, Frank J.A. van Rooij, Katharina E. Schraut, Ioanna Ntalla, Raimo Joro, Cornelia M. van Duijn, Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Day, Felix [0000-0003-3789-7651], Langenberg, Claudia [0000-0002-5017-7344], Luan, Jian'an [0000-0003-3137-6337], Zhao, Jing Hua [0000-0003-4930-3582], Wareham, Nicholas [0000-0003-1422-2993], Ong, Kenneth [0000-0003-4689-7530], Perry, John [0000-0001-6483-3771], Apollo - University of Cambridge Repository, Erasmus MC other, Medical Microbiology & Infectious Diseases, Epidemiology, Medical Oncology, Child and Adolescent Psychiatry / Psychology, Public Health, Internal Medicine, Pediatrics, Horikoshi, Momoko, Beaumont, Robin N, Day, Felix R, Warrington, Nicole, Hyppönen, Elina, and Freathy, Rachel M
Subjects: Male, 0301 basic medicine, Netherlands Twin Register (NTR), Aging, Datasets as Topic, Physiology, Blood Pressure, Genome-wide association study, Coronary Artery Disease, Type 2 diabetes, Bioinformatics, CHARGE Consortium Hematology Working Group, Cohort Studies, 0302 clinical medicine, Birth Weight, Insulin, Glucose homeostasis, 030212 general & internal medicine, education.field_of_study, Multidisciplinary, Anthropometry, 3. Good health, Phenotype, Female, Glycogen, Signal Transduction, Adult, hypertension, Genotype, General Science & Technology, Birth weight, intrauterine growth, Population, Quantitative trait locus, Biology, Article, quantitative trait, Genomic Imprinting, 03 medical and health sciences, Fetus, SDG 3 - Good Health and Well-being, Early Growth Genetics (EGG) Consortium, MD Multidisciplinary, Genetic variation, medicine, Humans, metabolic disorders, Genetic Predisposition to Disease, education, genome, Genetic association, Genetic Variation, birth weight, ta3121, Chromatin Assembly and Disassembly, medicine.disease, ta3123, Glucose, 030104 developmental biology, Diabetes Mellitus, Type 2, Genetic Loci, genome-wide association studies, adult disease, Genome-Wide Association Study
Abstract: Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular disease. These life-course associations have often been attributed to the impact of an adverse early life environment. Here, we performed a multi-ancestry genome-wide association study (GWAS) meta-analysis of BW in 153,781 individuals, identifying 60 loci where fetal genotype was associated with BW (P&thinsp
Published: 2016

49. Biomarkers for Type 2 Diabetes and Impaired Fasting Glucose Using a Nontargeted Metabolomics Approach

Author: Jeff K. Trimmer, Tim D. Spector, Rob P. Mohney, Eric B. Fauman, Craig L. Hyde, Kirsten J. Ward, So-Youn Shin, Maria Psatha, Wei Yuan, M J Brosnan, Mike Milburn, Jordana T. Bell, Cristina Menni, Gabi Kastenmüller, Christian Gieger, Timothy M. Frayling, Karsten Suhre, Colin N. A. Palmer, Idil Erte, Nicole Soranzo, John R. B. Perry, and Ann-Kristin Petersen
Subjects: Blood Glucose, Male, medicine.medical_specialty, endocrine system diseases, Endocrinology, Diabetes and Metabolism, Metabolite, Population, 030209 endocrinology & metabolism, Type 2 diabetes, Biology, Prediabetic State, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Insulin resistance, Diabetes mellitus, Internal medicine, Diseases in Twins, Internal Medicine, medicine, Humans, Metabolomics, education, Original Research, Aged, 030304 developmental biology, 0303 health sciences, Glucose tolerance test, education.field_of_study, medicine.diagnostic_test, nutritional and metabolic diseases, Genetics/Genomes/Proteomics/Metabolomics, Fasting, Glucose Tolerance Test, Middle Aged, medicine.disease, Impaired fasting glucose, 3. Good health, Endocrinology, Diabetes Mellitus, Type 2, chemistry, Hyperglycemia, Biomarker (medicine), Female, Biomarkers, Genome-Wide Association Study
Abstract: Using a nontargeted metabolomics approach of 447 fasting plasma metabolites, we searched for novel molecular markers that arise before and after hyperglycemia in a large population-based cohort of 2,204 females (115 type 2 diabetic [T2D] case subjects, 192 individuals with impaired fasting glucose [IFG], and 1,897 control subjects) from TwinsUK. Forty-two metabolites from three major fuel sources (carbohydrates, lipids, and proteins) were found to significantly correlate with T2D after adjusting for multiple testing; of these, 22 were previously reported as associated with T2D or insulin resistance. Fourteen metabolites were found to be associated with IFG. Among the metabolites identified, the branched-chain keto-acid metabolite 3-methyl-2-oxovalerate was the strongest predictive biomarker for IFG after glucose (odds ratio [OR] 1.65 [95% CI 1.39–1.95], P = 8.46 × 10−9) and was moderately heritable (h2 = 0.20). The association was replicated in an independent population (n = 720, OR 1.68 [ 1.34–2.11], P = 6.52 × 10−6) and validated in 189 twins with urine metabolomics taken at the same time as plasma (OR 1.87 [1.27–2.75], P = 1 × 10−3). Results confirm an important role for catabolism of branched-chain amino acids in T2D and IFG. In conclusion, this T2D-IFG biomarker study has surveyed the broadest panel of nontargeted metabolites to date, revealing both novel and known associated metabolites and providing potential novel targets for clinical prediction and a deeper understanding of causal mechanisms.
Published: 2013

50. Genetic evidence that raised sex hormone binding globulin (SHBG) levels reduce the risk of type 2 diabetes

Author: Amanda J. Bennett, Lori L. Bonnycastle, Inês Barroso, Gudmar Thorleifsson, Charlotta Pisinger, Timothy M. Frayling, Laura J. Scott, Christian Herder, Mark Walker, Markku Laakso, Laura Pascoe, Beverley M. Shields, Thomas Sparsø, Ele Ferrannini, John R. B. Perry, Torsten Lauritzen, Felicity Payne, Thomas Illig, Michael N. Weedon, Beatrice Knight, Luigi Ferrucci, Giuseppe Paolisso, Claudia Langenberg, Andrew D. Morris, Torben Hansen, Ewan R. Pearson, Oluf Pedersen, Annelli Sandbæk, Peter Schwarz, Mario A. Morken, Colin N. A. Palmer, Peter Nilsson, Marcello Maggio, Narisu Narisu, Katharine R. Owen, Stefan R. Bornstein, Michael Boehnke, Mike Sampson, Leif Groop, Marjo-Riitta Järvelin, Aimo Ruokonen, Andrew T. Hattersley, Valgerdur Steinthorsdottir, Unnur Thorsteinsdottir, Ele Zeggini Magic, Mark I. McCarthy, Cecilia M. Lindgren, Christopher J. Groves, Elizabeth H. Young, Johanna Kuusisto, Harald Grallert, Valeriya Lyssenko, Anette P. Gjesing, Malin Neptin, Anne U. Jackson, Kari Stefansson, Nicholas J. Wareham, Heather M. Stringham, Perry, Jr, Weedon, Mn, Langenberg, C, Jackson, Au, Lyssenko, V, Sparsø, T, Thorleifsson, G, Grallert, H, Ferrucci, L, Maggio, M, Paolisso, Giuseppe, Walker, M, Palmer, Cn, Payne, F, Young, E, Herder, C, Narisu, N, Morken, Ma, Bonnycastle, Ll, Owen, Kr, Shields, B, Knight, B, Bennett, A, Groves, Cj, Ruokonen, A, Jarvelin, Mr, Pearson, E, Pascoe, L, Ferrannini, E, Bornstein, Sr, Stringham, Hm, Scott, Lj, Kuusisto, J, Nilsson, P, Neptin, M, Gjesing, Ap, Pisinger, C, Lauritzen, T, Sandbaek, A, Sampson, M, Zeggini, Me, Lindgren, Cm, Steinthorsdottir, V, Thorsteinsdottir, U, Hansen, T, Schwarz, P, Illig, T, Laakso, M, Stefansson, K, Morris, Ad, Groop, L, Pedersen, O, Boehnke, M, Barroso, I, Wareham, Nj, Hattersley, At, Mccarthy, Mi, and Frayling, Tm
Subjects: Male, AUGSBURG CASE-COHORT, Genome-wide association study, Type 2 diabetes, 0302 clinical medicine, Sex hormone-binding globulin, Risk Factors, Sex Hormone-Binding Globulin, polycyclic compounds, Gonadal Steroid Hormones, 11 Medical and Health Sciences, Genetics (clinical), reproductive and urinary physiology, Genetics & Heredity, 0303 health sciences, biology, INSULIN SENSITIVITY, Association Studies Articles, General Medicine, Middle Aged, PROSTATE-CANCER, 3. Good health, POSTMENOPAUSAL WOMEN, MENDELIAN RANDOMIZATION, Female, TESTOSTERONE TREATMENT, Life Sciences & Biomedicine, hormones, hormone substitutes, and hormone antagonists, Adult, Biochemistry & Molecular Biology, medicine.medical_specialty, BODY-COMPOSITION, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, STEROID-HORMONES, Polymorphism, Single Nucleotide, 03 medical and health sciences, Diabetes mellitus, Internal medicine, Mendelian randomization, Genetics, medicine, Humans, GENOME-WIDE ASSOCIATION, Molecular Biology, 030304 developmental biology, Aged, Science & Technology, Case-control study, Odds ratio, 06 Biological Sciences, medicine.disease, MAGIC, SERUM CONCENTRATIONS, Endocrinology, Diabetes Mellitus, Type 2, Case-Control Studies, biology.protein
Abstract: Udgivelsesdato: 2010-Feb-1 Epidemiological studies consistently show that circulating sex hormone binding globulin (SHBG) levels are lower in type 2 diabetes patients than non-diabetic individuals, but the causal nature of this association is controversial. Genetic studies can help dissect causal directions of epidemiological associations because genotypes are much less likely to be confounded, biased or influenced by disease processes. Using this Mendelian randomization principle, we selected a common single nucleotide polymorphism (SNP) near the SHBG gene, rs1799941, that is strongly associated with SHBG levels. We used data from this SNP, or closely correlated SNPs, in 27 657 type 2 diabetes patients and 58 481 controls from 15 studies. We then used data from additional studies to estimate the difference in SHBG levels between type 2 diabetes patients and controls. The SHBG SNP rs1799941 was associated with type 2 diabetes [odds ratio (OR) 0.94, 95% CI: 0.91, 0.97; P = 2 x 10(-5)], with the SHBG raising allele associated with reduced risk of type 2 diabetes. This effect was very similar to that expected (OR 0.92, 95% CI: 0.88, 0.96), given the SHBG-SNP versus SHBG levels association (SHBG levels are 0.2 standard deviations higher per copy of the A allele) and the SHBG levels versus type 2 diabetes association (SHBG levels are 0.23 standard deviations lower in type 2 diabetic patients compared to controls). Results were very similar in men and women. There was no evidence that this variant is associated with diabetes-related intermediate traits, including several measures of insulin secretion and resistance. Our results, together with those from another recent genetic study, strengthen evidence that SHBG and sex hormones are involved in the aetiology of type 2 diabetes.
Published: 2016

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