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13 results on '"P. P. Karjalainen"'

1. High incidence and geographic distribution of cleft palate in Finland are associated with the IRF6 gene

Author

Rahimov, Fedik, Nieminen, Pekka, Kumari, Priyanka, Juuri, Emma, Nikopensius, Tiit, Paraiso, Kitt, German, Jakob, Karvanen, Antti, Kals, Mart, Elnahas, Abdelrahman G, Karjalainen, Juha, Kurki, Mitja, Palotie, Aarno, Heliövaara, Arja, Esko, Tõnu, Jukarainen, Sakari, Palta, Priit, Ganna, Andrea, Patni, Anjali P, Mar, Daniel, Bomsztyk, Karol, Mathieu, Julie, Ruohola-Baker, Hannele, Visel, Axel, Fakhouri, Walid D, Schutte, Brian C, Cornell, Robert A, and Rice, David P

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Dentistry, Human Genome, Pediatric, Dental/Oral and Craniofacial Disease, Clinical Research, Minority Health, Health Disparities, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Oral and gastrointestinal, Humans, Finland, Interferon Regulatory Factors, Cleft Palate, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Predisposition to Disease, Incidence, Gene Frequency, Cleft Lip, Female, Male, Estonia, Alleles, FinnGen, Estonian Biobank Research Team
Abstract

In Finland, the frequency of isolated cleft palate (CP) is higher than that of isolated cleft lip with or without cleft palate (CL/P). This trend contrasts to that in other European countries but its genetic underpinnings are unknown. We conducted a genome-wide association study in the Finnish population and identified rs570516915, a single nucleotide polymorphism highly enriched in Finns, as strongly associated with CP (P = 5.25 × 10-34, OR = 8.65, 95% CI 6.11-12.25), but not with CL/P (P = 7.2 × 10-5), with genome-wide significance. The risk allele frequency of rs570516915 parallels the regional variation of CP prevalence in Finland, and the association was replicated in independent cohorts of CP cases from Finland (P = 8.82 × 10-28) and Estonia (P = 1.25 × 10-5). The risk allele of rs570516915 alters a conserved binding site for the transcription factor IRF6 within an enhancer (MCS-9.7) upstream of the IRF6 gene and diminishes the enhancer activity. Oral epithelial cells derived from CRISPR-Cas9 edited induced pluripotent stem cells demonstrate that the CP-associated allele of rs570516915 concomitantly decreases the binding of IRF6 and the expression level of IRF6, suggesting impaired IRF6 autoregulation as a molecular mechanism underlying the risk for CP.

Published
2024

2. Mapping the human genetic architecture of COVID-19

Author

Niemi, Mari EK, Karjalainen, Juha, Liao, Rachel G, Neale, Benjamin M, Daly, Mark, Ganna, Andrea, Davis, Lea, Lee, Sulggi, Priest, James, Renieri, Alessandra, Sankaran, Vijay G, van Heel, David, Deelen, Patrick, Richards, J Brent, Nakanishi, Tomoko, Biesecker, Les, Kerchberger, V Eric, Baillie, J Kenneth, Mari, Francesca, Bernasconi, Anna, Baillie, Stefano Ceri, Canakoglu, Arif, Chang, Xiao, Glessner, Joseph R, and Hakonarson, Hakon

Subjects
Genetics, Prevention, Human Genome, Biodefense, Vaccine Related, Clinical Research, Lung, Emerging Infectious Diseases, Pneumonia, Infectious Diseases, Aetiology, 2.1 Biological and endogenous factors, Infection, Good Health and Well Being, Autoimmunity, Body Mass Index, COVID-19, Critical Illness, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Geographic Mapping, Hospitalization, Host-Pathogen Interactions, Humans, Inflammation, Information Dissemination, Male, Multifactorial Inheritance, Racial Groups, SARS-CoV-2, Smoking, COVID-19 Host Genetics Initiative, General Science & Technology
Abstract

The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3-7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.

Published
2021

3. SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Author

D’Antonio, Matteo, Nguyen, Jennifer P, Arthur, Timothy D, Matsui, Hiroko, Neale, Benjamin M, Daly, Mark, Ganna, Andrea, Stevens, Christine, Pathak, Gita A, Andrews, Shea J, Kanai, Masahiro, Cordioli, Mattia, Karjalainen, Juha, Polimanti, Renato, Pirinen, Matti, Harerimana, Nadia, Veerapen, Kumar, Wolford, Brooke, Nguyen, Huy, Solomonson, Matthew, Liao, Rachel G, Chwialkowska, Karolina, Trankiem, Amy, Balaconis, Mary K, Hayward, Caroline, Richmond, Anne, Campbell, Archie, Morris, Marcela, Fawns-Ritchie, Chloe, Glessner, Joseph T, Shaw, Douglas M, Chang, Xiao, Polikowski, Hannah, Lauren, E, Chen, Hung-Hsin, Wanying, Zhu, Hakonarson, Hakon, Porteous, David J, Below, Jennifer, North, Kari, McCormick, Joseph B, Timmers, Paul RHJ, Wilson, James F, Tenesa, Albert, D’Mellow, Kenton, Kerr, Shona M, Niemi, Mari EK, Nkambul, Lindokuhle, von Hohenstaufen, Kathrin Aprile, Sobh, Ali, Eltoukhy, Madonna M, Yassen, Amr M, Hegazy, Mohamed AF, Okasha, Kamal, Eid, Mohammed A, Moahmed, Hanteera S, Shahin, Doaa, El-Sherbiny, Yasser M, Elhadidy, Tamer A, Elghafar, Mohamed S Abd, El-Jawhari, Jehan J, Mohamed, Attia AS, Elnagdy, Marwa H, Samir, Amr, Abdel-Aziz, Mahmoud, Khafaga, Walid T, El-Lawaty, Walaa M, Torky, Mohamed S, El-shanshory, Mohamed R, Batini, Chiara, Lee, Paul H, Shrine, Nick, Williams, Alexander T, Tobin, Martin D, Guyatt, Anna L, John, Catherine, Packer, Richard J, Ali, Altaf, Free, Robert C, Wang, Xueyang, Wain, Louise V, Hollox, Edward J, Venn, Laura D, Bee, Catherine E, Adams, Emma L, Niavarani, Ahmadreza, Sharififard, Bahareh, Aliannejad, Rasoul, Amirsavadkouhi, Ali, and Naderpour, Zeinab

Subjects
Biological Sciences, Genetics, Lung, Coronaviruses Disparities and At-Risk Populations, Biotechnology, Infectious Diseases, Coronaviruses, Emerging Infectious Diseases, Human Genome, 2.1 Biological and endogenous factors, Good Health and Well Being, COVID-19, Chromosome Mapping, Computational Biology, Databases, Genetic, Ethnicity, Gene Expression, Gene Expression Profiling, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Organ Specificity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, SARS-CoV-2, Severity of Illness Index, Transcriptome, COVID-19 Host Genetics Initiative, GWAS, colocalization, eQTL, Biochemistry and Cell Biology, Medical Physiology, Biological sciences
Abstract

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types.

Published
2021

4. Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries.

Author

Gharahkhani, Puya, Jorgenson, Eric, Hysi, Pirro, Khawaja, Anthony P, Pendergrass, Sarah, Han, Xikun, Ong, Jue Sheng, Hewitt, Alex W, Segrè, Ayellet V, Rouhana, John M, Hamel, Andrew R, Igo, Robert P, Choquet, Helene, Qassim, Ayub, Josyula, Navya S, Cooke Bailey, Jessica N, Bonnemaijer, Pieter WM, Iglesias, Adriana, Siggs, Owen M, Young, Terri L, Vitart, Veronique, Thiadens, Alberta AHJ, Karjalainen, Juha, Uebe, Steffen, Melles, Ronald B, Nair, K Saidas, Luben, Robert, Simcoe, Mark, Amersinghe, Nishani, Cree, Angela J, Hohn, Rene, Poplawski, Alicia, Chen, Li Jia, Rong, Shi-Song, Aung, Tin, Vithana, Eranga Nishanthie, NEIGHBORHOOD consortium, ANZRAG consortium, Biobank Japan project, FinnGen study, UK Biobank Eye and Vision Consortium, GIGA study group, 23 and Me Research Team, Tamiya, Gen, Shiga, Yukihiro, Yamamoto, Masayuki, Nakazawa, Toru, Currant, Hannah, Birney, Ewan, Wang, Xin, Auton, Adam, Lupton, Michelle K, Martin, Nicholas G, Ashaye, Adeyinka, Olawoye, Olusola, Williams, Susan E, Akafo, Stephen, Ramsay, Michele, Hashimoto, Kazuki, Kamatani, Yoichiro, Akiyama, Masato, Momozawa, Yukihide, Foster, Paul J, Khaw, Peng T, Morgan, James E, Strouthidis, Nicholas G, Kraft, Peter, Kang, Jae H, Pang, Chi Pui, Pasutto, Francesca, Mitchell, Paul, Lotery, Andrew J, Palotie, Aarno, van Duijn, Cornelia, Haines, Jonathan L, Hammond, Chris, Pasquale, Louis R, Klaver, Caroline CW, Hauser, Michael, Khor, Chiea Chuen, Mackey, David A, Kubo, Michiaki, Cheng, Ching-Yu, Craig, Jamie E, MacGregor, Stuart, and Wiggs, Janey L

Subjects
NEIGHBORHOOD consortium, ANZRAG consortium, Biobank Japan project, FinnGen study, UK Biobank Eye and Vision Consortium, GIGA study group, and Me Research Team, Humans, Glaucoma, Open-Angle, Genetic Predisposition to Disease, Genotype, Polymorphism, Single Nucleotide, Asian Continental Ancestry Group, European Continental Ancestry Group, Genome-Wide Association Study, Genetic Loci, Glaucoma, Open-Angle, Polymorphism, Single Nucleotide
Abstract

Primary open-angle glaucoma (POAG), is a heritable common cause of blindness world-wide. To identify risk loci, we conduct a large multi-ethnic meta-analysis of genome-wide association studies on a total of 34,179 cases and 349,321 controls, identifying 44 previously unreported risk loci and confirming 83 loci that were previously known. The majority of loci have broadly consistent effects across European, Asian and African ancestries. Cross-ancestry data improve fine-mapping of causal variants for several loci. Integration of multiple lines of genetic evidence support the functional relevance of the identified POAG risk loci and highlight potential contributions of several genes to POAG pathogenesis, including SVEP1, RERE, VCAM1, ZNF638, CLIC5, SLC2A12, YAP1, MXRA5, and SMAD6. Several drug compounds targeting POAG risk genes may be potential glaucoma therapeutic candidates.

Published
2021

5. Genetic architecture of human plasma lipidome and its link to cardiovascular disease.

Author

Tabassum, Rubina, Rämö, Joel T, Ripatti, Pietari, Koskela, Jukka T, Kurki, Mitja, Karjalainen, Juha, Palta, Priit, Hassan, Shabbeer, Nunez-Fontarnau, Javier, Kiiskinen, Tuomo TJ, Söderlund, Sanni, Matikainen, Niina, Gerl, Mathias J, Surma, Michal A, Klose, Christian, Stitziel, Nathan O, Laivuori, Hannele, Havulinna, Aki S, Service, Susan K, Salomaa, Veikko, Pirinen, Matti, FinnGen Project, Jauhiainen, Matti, Daly, Mark J, Freimer, Nelson B, Palotie, Aarno, Taskinen, Marja-Riitta, Simons, Kai, and Ripatti, Samuli

Subjects
FinnGen Project, Plasma, Humans, Cardiovascular Diseases, Lipids, Genome-Wide Association Study, Lipidomics
Abstract

Understanding genetic architecture of plasma lipidome could provide better insights into lipid metabolism and its link to cardiovascular diseases (CVDs). Here, we perform genome-wide association analyses of 141 lipid species (n = 2,181 individuals), followed by phenome-wide scans with 25 CVD related phenotypes (n = 511,700 individuals). We identify 35 lipid-species-associated loci (P

Published
2019

6. GWAS for executive function and processing speed suggests involvement of the CADM2 gene

Author

Ibrahim-Verbaas, CA, Bressler, J, Debette, S, Schuur, M, Smith, AV, Bis, JC, Davies, G, Trompet, S, Smith, JA, Wolf, C, Chibnik, LB, Liu, Y, Vitart, V, Kirin, M, Petrovic, K, Polasek, O, Zgaga, L, Fawns-Ritchie, C, Hoffmann, P, Karjalainen, J, Lahti, J, Llewellyn, DJ, Schmidt, CO, Mather, KA, Chouraki, V, Sun, Q, Resnick, SM, Rose, LM, Oldmeadow, C, Stewart, M, Smith, BH, Gudnason, V, Yang, Q, Mirza, SS, Jukema, JW, deJager, PL, Harris, TB, Liewald, DC, Amin, N, Coker, LH, Stegle, O, Lopez, OL, Schmidt, R, Teumer, A, Ford, I, Karbalai, N, Becker, JT, Jonsdottir, MK, Au, R, Fehrmann, RSN, Herms, S, Nalls, M, Zhao, W, Turner, ST, Yaffe, K, Lohman, K, van Swieten, JC, Kardia, SLR, Knopman, DS, Meeks, WM, Heiss, G, Holliday, EG, Schofield, PW, Tanaka, T, Stott, DJ, Wang, J, Ridker, P, Gow, AJ, Pattie, A, Starr, JM, Hocking, LJ, Armstrong, NJ, McLachlan, S, Shulman, JM, Pilling, LC, Eiriksdottir, G, Scott, RJ, Kochan, NA, Palotie, A, Hsieh, Y-C, Eriksson, JG, Penman, A, Gottesman, RF, Oostra, BA, Yu, L, DeStefano, AL, Beiser, A, Garcia, M, Rotter, JI, Nöthen, MM, Hofman, A, Slagboom, PE, Westendorp, RGJ, Buckley, BM, Wolf, PA, Uitterlinden, AG, Psaty, BM, Grabe, HJ, Bandinelli, S, and Chasman, DI

Subjects
Biological Psychology, Clinical and Health Psychology, Psychology, Genetics, Basic Behavioral and Social Science, Aging, Human Genome, Brain Disorders, Behavioral and Social Science, Mental Health, Neurosciences, Aged, Aged, 80 and over, Cell Adhesion Molecules, Cognition, Cohort Studies, Executive Function, Female, Genetic Association Studies, Genetic Variation, Genome-Wide Association Study, Genomics, Humans, Introns, Male, Middle Aged, Neuropsychological Tests, Polymorphism, Single Nucleotide, White People, gamma-Aminobutyric Acid, Generation Scotland, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

To identify common variants contributing to normal variation in two specific domains of cognitive functioning, we conducted a genome-wide association study (GWAS) of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium. Neuropsychological testing was available for 5429-32,070 subjects of European ancestry aged 45 years or older, free of dementia and clinical stroke at the time of cognitive testing from 20 cohorts in the discovery phase. We analyzed performance on the Trail Making Test parts A and B, the Letter Digit Substitution Test (LDST), the Digit Symbol Substitution Task (DSST), semantic and phonemic fluency tests, and the Stroop Color and Word Test. Replication was sought in 1311-21860 subjects from 20 independent cohorts. A significant association was observed in the discovery cohorts for the single-nucleotide polymorphism (SNP) rs17518584 (discovery P-value=3.12 × 10(-8)) and in the joint discovery and replication meta-analysis (P-value=3.28 × 10(-9) after adjustment for age, gender and education) in an intron of the gene cell adhesion molecule 2 (CADM2) for performance on the LDST/DSST. Rs17518584 is located about 170 kb upstream of the transcription start site of the major transcript for the CADM2 gene, but is within an intron of a variant transcript that includes an alternative first exon. The variant is associated with expression of CADM2 in the cingulate cortex (P-value=4 × 10(-4)). The protein encoded by CADM2 is involved in glutamate signaling (P-value=7.22 × 10(-15)), gamma-aminobutyric acid (GABA) transport (P-value=1.36 × 10(-11)) and neuron cell-cell adhesion (P-value=1.48 × 10(-13)). Our findings suggest that genetic variation in the CADM2 gene is associated with individual differences in information processing speed.

Published
2016

7. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.

Author

Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton JM, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston WK, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela AF, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, and Tachmazidou, Ioanna

Subjects
CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Humans, Genetic Predisposition to Disease, Body Mass Index, Body Size, Waist-Hip Ratio, Chromosome Mapping, Age Factors, Sex Characteristics, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Male, Genome-Wide Association Study, Developmental Biology, Genetics
Abstract

Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR

Published
2015

8. New genetic loci link adipose and insulin biology to body fat distribution

Author

Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Locke, Adam E, Mägi, Reedik, Strawbridge, Rona J, Pers, Tune H, Fischer, Krista, Justice, Anne E, Workalemahu, Tsegaselassie, Wu, Joseph MW, Buchkovich, Martin L, Heard-Costa, Nancy L, Roman, Tamara S, Drong, Alexander W, Song, Ci, Gustafsson, Stefan, Day, Felix R, Esko, Tonu, Fall, Tove, Kutalik, Zoltán, Luan, Jian’an, Randall, Joshua C, Scherag, André, Vedantam, Sailaja, Wood, Andrew R, Chen, Jin, Fehrmann, Rudolf, Karjalainen, Juha, Kahali, Bratati, Liu, Ching-Ti, Schmidt, Ellen M, Absher, Devin, Amin, Najaf, Anderson, Denise, Beekman, Marian, Bragg-Gresham, Jennifer L, Buyske, Steven, Demirkan, Ayse, Ehret, Georg B, Feitosa, Mary F, Goel, Anuj, Jackson, Anne U, Johnson, Toby, Kleber, Marcus E, Kristiansson, Kati, Mangino, Massimo, Mateo Leach, Irene, Medina-Gomez, Carolina, Palmer, Cameron D, Pasko, Dorota, Pechlivanis, Sonali, Peters, Marjolein J, Prokopenko, Inga, Stančáková, Alena, Ju Sung, Yun, Tanaka, Toshiko, Teumer, Alexander, Van Vliet-Ostaptchouk, Jana V, Yengo, Loïc, Zhang, Weihua, Albrecht, Eva, Ärnlöv, Johan, Arscott, Gillian M, Bandinelli, Stefania, Barrett, Amy, Bellis, Claire, Bennett, Amanda J, Berne, Christian, Blüher, Matthias, Böhringer, Stefan, Bonnet, Fabrice, Böttcher, Yvonne, Bruinenberg, Marcel, Carba, Delia B, Caspersen, Ida H, Clarke, Robert, Warwick Daw, E, Deelen, Joris, Deelman, Ewa, Delgado, Graciela, Doney, Alex SF, Eklund, Niina, Erdos, Michael R, Estrada, Karol, Eury, Elodie, Friedrich, Nele, Garcia, Melissa E, Giedraitis, Vilmantas, Gigante, Bruna, Go, Alan S, Golay, Alain, Grallert, Harald, Grammer, Tanja B, Gräßler, Jürgen, Grewal, Jagvir, Groves, Christopher J, Haller, Toomas, and Hallmans, Goran

Subjects
Genetics, Human Genome, Diabetes, Obesity, Nutrition, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Cardiovascular, Stroke, Adipocytes, Adipogenesis, Adipose Tissue, Age Factors, Body Fat Distribution, Body Mass Index, Epigenesis, Genetic, Europe, Female, Genome, Human, Genome-Wide Association Study, Humans, Insulin, Insulin Resistance, Male, Models, Biological, Neovascularization, Physiologic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Racial Groups, Sex Characteristics, Transcription, Genetic, Waist-Hip Ratio, ADIPOGen Consortium, CARDIOGRAMplusC4D Consortium, CKDGen Consortium, GEFOS Consortium, GENIE Consortium, GLGC, ICBP, International Endogene Consortium, LifeLines Cohort Study, MAGIC Investigators, MuTHER Consortium, PAGE Consortium, ReproGen Consortium, General Science & Technology
Abstract

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P

Published
2015

9. Genetic studies of body mass index yield new insights for obesity biology

Author

Locke, Adam E, Kahali, Bratati, Berndt, Sonja I, Justice, Anne E, Pers, Tune H, Day, Felix R, Powell, Corey, Vedantam, Sailaja, Buchkovich, Martin L, Yang, Jian, Croteau-Chonka, Damien C, Esko, Tonu, Fall, Tove, Ferreira, Teresa, Gustafsson, Stefan, Kutalik, Zoltán, Luan, Jian’an, Mägi, Reedik, Randall, Joshua C, Winkler, Thomas W, Wood, Andrew R, Workalemahu, Tsegaselassie, Faul, Jessica D, Smith, Jennifer A, Hua Zhao, Jing, Zhao, Wei, Chen, Jin, Fehrmann, Rudolf, Hedman, Åsa K, Karjalainen, Juha, Schmidt, Ellen M, Absher, Devin, Amin, Najaf, Anderson, Denise, Beekman, Marian, Bolton, Jennifer L, Bragg-Gresham, Jennifer L, Buyske, Steven, Demirkan, Ayse, Deng, Guohong, Ehret, Georg B, Feenstra, Bjarke, Feitosa, Mary F, Fischer, Krista, Goel, Anuj, Gong, Jian, Jackson, Anne U, Kanoni, Stavroula, Kleber, Marcus E, Kristiansson, Kati, Lim, Unhee, Lotay, Vaneet, Mangino, Massimo, Mateo Leach, Irene, Medina-Gomez, Carolina, Medland, Sarah E, Nalls, Michael A, Palmer, Cameron D, Pasko, Dorota, Pechlivanis, Sonali, Peters, Marjolein J, Prokopenko, Inga, Shungin, Dmitry, Stančáková, Alena, Strawbridge, Rona J, Ju Sung, Yun, Tanaka, Toshiko, Teumer, Alexander, Trompet, Stella, van der Laan, Sander W, van Setten, Jessica, Van Vliet-Ostaptchouk, Jana V, Wang, Zhaoming, Yengo, Loïc, Zhang, Weihua, Isaacs, Aaron, Albrecht, Eva, Ärnlöv, Johan, Arscott, Gillian M, Attwood, Antony P, Bandinelli, Stefania, Barrett, Amy, Bas, Isabelita N, Bellis, Claire, Bennett, Amanda J, Berne, Christian, Blagieva, Roza, Blüher, Matthias, Böhringer, Stefan, Bonnycastle, Lori L, Böttcher, Yvonne, Boyd, Heather A, Bruinenberg, Marcel, Caspersen, Ida H, Ida Chen, Yii-Der, Clarke, Robert, Warwick Daw, E, de Craen, Anton JM, Delgado, Graciela, and Dimitriou, Maria

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Obesity, Pediatric, Nutrition, Biotechnology, Human Genome, Childhood Obesity, Prevention, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Metabolic and endocrine, Stroke, Oral and gastrointestinal, Adipogenesis, Adiposity, Age Factors, Body Mass Index, Energy Metabolism, Europe, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Glutamic Acid, Humans, Insulin, Insulin Secretion, Male, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Racial Groups, Synapses, LifeLines Cohort Study, ADIPOGen Consortium, AGEN-BMI Working Group, CARDIOGRAMplusC4D Consortium, CKDGen Consortium, GLGC, ICBP, MAGIC Investigators, MuTHER Consortium, MIGen Consortium, PAGE Consortium, ReproGen Consortium, GENIE Consortium, International Endogene Consortium, General Science & Technology
Abstract

Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P 20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

Published
2015

10. Defining the role of common variation in the genomic and biological architecture of adult human height

Author

Wood, Andrew R, Esko, Tonu, Yang, Jian, Vedantam, Sailaja, Pers, Tune H, Gustafsson, Stefan, Chu, Audrey Y, Estrada, Karol, Luan, Jian'an, Kutalik, Zoltán, Amin, Najaf, Buchkovich, Martin L, Croteau-Chonka, Damien C, Day, Felix R, Duan, Yanan, Fall, Tove, Fehrmann, Rudolf, Ferreira, Teresa, Jackson, Anne U, Karjalainen, Juha, Lo, Ken Sin, Locke, Adam E, Mägi, Reedik, Mihailov, Evelin, Porcu, Eleonora, Randall, Joshua C, Scherag, André, Vinkhuyzen, Anna AE, Westra, Harm-Jan, Winkler, Thomas W, Workalemahu, Tsegaselassie, Zhao, Jing Hua, Absher, Devin, Albrecht, Eva, Anderson, Denise, Baron, Jeffrey, Beekman, Marian, Demirkan, Ayse, Ehret, Georg B, Feenstra, Bjarke, Feitosa, Mary F, Fischer, Krista, Fraser, Ross M, Goel, Anuj, Gong, Jian, Justice, Anne E, Kanoni, Stavroula, Kleber, Marcus E, Kristiansson, Kati, Lim, Unhee, Lotay, Vaneet, Lui, Julian C, Mangino, Massimo, Leach, Irene Mateo, Medina-Gomez, Carolina, Nalls, Michael A, Nyholt, Dale R, Palmer, Cameron D, Pasko, Dorota, Pechlivanis, Sonali, Prokopenko, Inga, Ried, Janina S, Ripke, Stephan, Shungin, Dmitry, Stancáková, Alena, Strawbridge, Rona J, Sung, Yun Ju, Tanaka, Toshiko, Teumer, Alexander, Trompet, Stella, van der Laan, Sander W, van Setten, Jessica, Van Vliet-Ostaptchouk, Jana V, Wang, Zhaoming, Yengo, Loïc, Zhang, Weihua, Afzal, Uzma, Ärnlöv, Johan, Arscott, Gillian M, Bandinelli, Stefania, Barrett, Amy, Bellis, Claire, Bennett, Amanda J, Berne, Christian, Blüher, Matthias, Bolton, Jennifer L, Böttcher, Yvonne, Boyd, Heather A, Bruinenberg, Marcel, Buckley, Brendan M, Buyske, Steven, Caspersen, Ida H, Chines, Peter S, Clarke, Robert, Claudi-Boehm, Simone, Cooper, Matthew, Daw, E Warwick, De Jong, Pim A, Deelen, Joris, and Delgado, Graciela

Subjects
Biological Sciences, Genetics, Human Genome, 2.1 Biological and endogenous factors, Adult, Analysis of Variance, Body Height, Genetic Variation, Genetics, Population, Genome-Wide Association Study, Humans, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, White People, Electronic Medical Records and Genomics (eMEMERGEGE) Consortium, MIGen Consortium, PAGEGE Consortium, LifeLines Cohort Study, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

Published
2014

11. Calpains promote α2β1 integrin turnover in nonrecycling integrin pathway

Author

Rintanen, Nina, Karjalainen, Mikko, Alanko, Jonna, Paavolainen, Lassi, Mäki, Anita, Nissinen, Liisa, Lehkonen, Moona, Kallio, Katri, Cheng, R Holland, Upla, Paula, Ivaska, Johanna, and Marjomäki, Varpu

Subjects
Biochemistry and Cell Biology, Biological Sciences, Calpain, Cell Line, Tumor, Cell Membrane, Enterovirus B, Human, Focal Adhesions, Humans, Integrin alpha2beta1, Protein Transport, Signal Transduction, Medical and Health Sciences, Developmental Biology, Biochemistry and cell biology
Abstract

Collagen receptor integrins recycle between the plasma membrane and endosomes and facilitate formation and turnover of focal adhesions. In contrast, clustering of α2β1 integrin with antibodies or the human pathogen echovirus 1 (EV1) causes redistribution of α2 integrin to perinuclear multivesicular bodies, α2-MVBs. We show here that the internalized clustered α2 integrin remains in α2-MVBs and is not recycled back to the plasma membrane. Instead, receptor clustering and internalization lead to an accelerated down-regulation of α2β1 integrin compared to the slow turnover of unclustered α2 integrin. EV1 infection or integrin degradation is not associated with proteasomal or autophagosomal processes and shows no significant association with lysosomal pathway. In contrast, degradation is dependent on calpains, such that it is blocked by calpain inhibitors. We show that active calpain is present in α2-MVBs, internalized clustered α2β1 integrin coprecipitates with calpain-1, and calpain enzymes can degrade α2β1 integrin. In conclusion, we identified a novel virus- and clustering-specific pathway that diverts α2β1 integrin from its normal endo/exocytic traffic to a nonrecycling, calpain-dependent degradative endosomal route.

Published
2012

12. TIDES-ACS Trial: comparison of titanium-nitride-oxide coated bio-active-stent to the drug (everolimus)-eluting stent in acute coronary syndrome. Study design and objectives

Author

E B, Colkesen, F D, Eefting, B J, Rensing, M J, Suttorp, J M, Ten Berg, P P, Karjalainen, and J A, Van Der Heyden

Subjects
Coronary Restenosis, Titanium, Research Design, Humans, Drug-Eluting Stents, Stents, Everolimus, France, Prospective Studies, Acute Coronary Syndrome, Finland, Netherlands
Abstract

Drug-eluting stents (DES), delivering antiproliferative drugs from a durable polymer, have shown to reduce in-stent restenosis after percutaneous coronary intervention (PCI) compared to bare-metal stents (BMS). However, they have been associated with a hypersensitivity reaction, delayed healing, and incomplete endothelialization, which may contribute to an increased risk of late stent thrombosis. Consequently, a prolonged duration of dual antiplatelet therapy (DAPT) is needed, with an increased risk of bleeding complication. A number of stent technologies are being developed in an attempt to modify late thrombotic events and DAPT duration. The Optimax™ stent is such a novel, next generation bioactive stent (BAS), in which a thicker layer of titanium-nitride-oxide coating is inserted over the stent struts. The rationale of this is to obtain more efficient and rapid vascular healing at the site of the stent implantation. The aim of TIDES-ACS Trial is to compare clinical outcome in patients presenting with ACS, treated with PCI using Optimax-BAS versus Synergy™-EES. Second objective is to explore whether the Optimax™-BAS use is superior compared with Synergy™-EES use with respect of hard end points (cardiac death, myocardial infarction [MI] and major bleeding). A prospective, randomized, multicenter trial (ClinicalTrials.gov Identifier: NCT02049229), will be conducted in interventional centres in Finland (six centres), France (five centres) and Holland (two centres), including a total of 1800 patients.

Published
2015

13. Outcome of ST-elevation myocardial infarction versus non-ST-elevation acute coronary syndrome treated with titanium-nitride-oxide-coated versus everolimus-eluting stents: insights from the BASE-ACS trial

Author

H, Romppanen, W, Nammas, K, Kervinen, J, Mikkelsson, M, Pietilä, J, Lalmand, F, Rivero-Crespo, M, Pentikäinen, P, Tedjokusumo, and P P, Karjalainen

Subjects
Male, Heart Diseases, Myocardial Infarction, Myocardial Ischemia, Disease-Free Survival, Coronary Restenosis, Percutaneous Coronary Intervention, Postoperative Complications, Coated Materials, Biocompatible, Humans, Multicenter Studies as Topic, Everolimus, Acute Coronary Syndrome, Aged, Randomized Controlled Trials as Topic, Sirolimus, Titanium, Incidence, Anticoagulants, Drug-Eluting Stents, Middle Aged, Combined Modality Therapy, Treatment Outcome, Female, Platelet Aggregation Inhibitors, Follow-Up Studies
Abstract

The BASE-ACS trial demonstrated an outcome of titanium-nitride-oxide-coated bioactive stents (BAS) that was statistically non-inferior to that of everolimus-eluting stents (EES) at 12-month follow-up, in patients presenting with acute coronary syndrome (ACS) who underwent early percutaneous coronary intervention (PCI). We explored a post-hoc analysis of the 12-month outcome of the BASE-ACS trial in the subgroup of patients with ST-elevation myocardial infarction (STEMI) versus non-ST-elevation ACS (non-STEACS).A total of 827 patients with ACS (321 STEMI) were randomly assigned to receive either BAS or EES. The primary endpoint was a composite of cardiac death, non-fatal myocardial infarction (MI) and ischemia-driven target lesion revascularization (TLR) at 12-month follow-up.The 12-month cumulative incidence of the primary endpoint was similar between the two subgroups (9% versus 9.5%, in STEMI versus non-STEACS patients respectively, P=0.90). The 12-month rate of cardiac death was significantly higher in the STEMI subgroup as compared with the non-STEACS subgroup (2.8 versus 0.6%, respectively, P=0.01). However, the rates of non-fatal MI, ischemia-driven TLR, definite stent thrombosis, and non-cardiac death were all statistically matched between the two subgroups (P0.05 for all).In the current post-hoc analysis of the BASE-ACS trial based on the infarction type, the 12-month outcome of patients who underwent early PCI for ACS was slightly worse in the setting of STEMI as compared with non-STEACS, as reflected by a significantly higher rate of cardiac death.

Published
2013

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