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1. Post-stroke bacteriuria among stroke patients attending a physiotherapy clinic in Ghana: a cross-sectional study

Author

Donkor ES, Akumwena A, Amoo PK, Owolabi MO, Aspelund T, and Gudnason V

Subjects
Stroke, bacteriuria, asymptomatic, urinary tract infections, Ghana, hypertension, coagulase-negative staphylococci, urine, Therapeutics. Pharmacology, RM1-950
Abstract

Eric S Donkor,1,5 Amos Akumwena,1 Philip K Amoo,2 Mayowa O Owolabi,3 Thor Aspelund,4,5 Vilmundur Gudnason4,5 1Department of Medical Microbiology, College of Health Sciences, University of Ghana, Accra, Ghana; 2Public Health Unit, Korle-Bu Teaching Hospital, Accra, Ghana; 3Department of Medicine, University College Hospital, University of Ibadan, Ibadan, Nigeria; 4Icelandic Heart Association Research Institute, Kopavogur, Iceland; 5Centre for Public Health Sciences, University of Iceland, Reykjavik, Iceland Background: Infections are known to be a major complication of stroke patients. In this study, we evaluated the risk of community-acquired bacteriuria among stroke patients, the associated factors, and the causative organisms.Methods: This was a cross-sectional study involving 70 stroke patients and 83 age- and sex-matched, apparently healthy controls. Urine specimens were collected from all the study subjects and were analyzed by standard microbiological methods. Demographic and clinical information was also collected from the study subjects. For stroke patients, the information collected also included stroke parameters, such as stroke duration, frequency, and subtype.Results: Bacteriuria was significantly higher among stroke patients (24.3%, n=17) than among the control group (7.2%, n=6), with a relative risk of 3.36 (confidence interval [CI], 1.40–8.01, P=0.006). Among the control group, all six bacteriuria cases were asymptomatic, whereas the 17 stroke bacteriuria cases comprised 15 cases of asymptomatic bacteriuria and two cases of symptomatic bacteriuria. Female sex (OR, 3.40; CI, 1.12–10.30; P=0.03) and presence of stroke (OR, 0.24; CI, 0.08–0.70; P=0.009) were significantly associated with bacteriuria. The etiology of bacteriuria was similar in both study groups, and coagulase-negative Staphylococcus spp. were the most predominant organisms isolated from both stroke patients (12.9%) and the control group (2.4%).Conclusion: Stroke patients in the study region have a significantly higher risk of community-acquired bacteriuria, which in most cases is asymptomatic. Community-acquired bacteriuria in stroke patients appears to have little or no relationship with clinical parameters of stroke such as stroke subtype, duration and frequency. Keywords: stroke-related bacteriuria, asymptomatic, urinary tract infections, hypertension, coagulase-negative staphylococci, urine

Published
2016

2. Profile and health-related quality of life of Ghanaian stroke survivors

Author

Donkor ES, Owolabi MO, Bampoh PO, Amoo PK, Aspelund T, and Gudnason V

Subjects
Profile and health related quality of life of Ghanaian stroke survivors, Geriatrics, RC952-954.6
Abstract

Eric S Donkor,1,2 Mayowa O Owolabi,3 Patrick O Bampoh,4 Philip K Amoo,5 Thor Aspelund,2,6 Vilmundur Gudnason2,61College of Health Sciences, University of Ghana, Accra, Ghana; 2Centre for Public Health Sciences, University of Iceland, Reykjavík, Iceland; 3Department of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria; 4Tamale Central Hospital, Tamale, Ghana; 5Public Health Unit, Korle-Bu Teaching Hospital, Accra, Ghana; 6Icelandic Heart Association Research Institute, Kopavogur, IcelandBackground: Stroke is a leading cause of mortality with a major effect on health-related quality of life (HRQoL). There are no previous studies exploring HRQoL among stroke survivors in Ghana, despite the increasing public health significance of the disease in this country. Here we describe the profile of and factors associated with HRQoL among stroke survivors in Ghana.Methods: This was a cross-sectional study involving 156 stroke survivors and 156 ­age- and sex-matched, apparently healthy controls. A robust HRQoL questionnaire involving seven domains was used to collect data from the study participants. Clinical epidemiology data were also collected from stroke survivors on parameters such as stroke severity and risk factors. Statistical analyses were performed on the interrelationships among the study variables. Results: The mean ages of the stroke survivors and healthy controls were 58.0 (standard deviation, 11.4) and 57.6 (standard deviation, 12.0) years, respectively. Fifty-three percent (86) of the stroke survivors had mild stroke and 35.3% (55) had moderate stroke, whereas 12.2% (19) had severe stroke. Ischemic infarction was the prevalent stroke subtype (78.1%). ­Hypertension was the most common risk factor (89%) among the stroke survivors, followed by diabetes (29%). HRQoL scores ranged from 57.7% (cognitive domain) to 80.0% (spirit domain) for stroke survivors, whereas HRQoL scores of the control group ranged from 65.6% (cognitive domain) to 85.2% (soul domain). For each HRQoL domain, significantly higher scores were observed for the control group compared with the stroke survivors, at P

Published
2014

3. Automated femur segmentation from computed tomography images using a deep neural network

Author

Bjornsson, P. A., Helgason, B., Palsson, H., Sigurdsson, S., Gudnason, V., and Ellingsen, L. M.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Osteoporosis is a common bone disease that occurs when the creation of new bone does not keep up with the loss of old bone, resulting in increased fracture risk. Adults over the age of 50 are especially at risk and see their quality of life diminished because of limited mobility, which can lead to isolation and depression. We are developing a robust screening method capable of identifying individuals predisposed to hip fracture to address this clinical challenge. The method uses finite element analysis and relies on segmented computed tomography (CT) images of the hip. Presently, the segmentation of the proximal femur requires manual input, which is a tedious task, prone to human error, and severely limits the practicality of the method in a clinical context. Here we present a novel approach for segmenting the proximal femur that uses a deep convolutional neural network to produce accurate, automated, robust, and fast segmentations of the femur from CT scans. The network architecture is based on the renowned u-net, which consists of a downsampling path to extract increasingly complex features of the input patch and an upsampling path to convert the acquired low resolution image into a high resolution one. Skipped connections allow us to recover critical spatial information lost during downsampling. The model was trained on 30 manually segmented CT images and was evaluated on 200 ground truth manual segmentations. Our method delivers a mean Dice similarity coefficient (DSC) and 95th percentile Hausdorff distance (HD95) of 0.990 and 0.981 mm, respectively.

Published
2021
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4. Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry

Author

de las Fuentes, L, Sung, YJ, Sitlani, CM, Avery, CL, Bartz, TM, Keyser, C de, Evans, DS, Li, X, Musani, SK, Ruiter, R, Smith, AV, Sun, F, Trompet, S, Xu, H, Arnett, DK, Bis, JC, Broeckel, U, Busch, EL, Chen, Y-DI, Correa, A, Cummings, SR, Floyd, JS, Ford, I, Guo, X, Harris, TB, Ikram, MA, Lange, L, Launer, LJ, Reiner, AP, Schwander, K, Smith, NL, Sotoodehnia, N, Stewart, JD, Stott, DJ, Stürmer, T, Taylor, KD, Uitterlinden, A, Vasan, RS, Wiggins, KL, Cupples, LA, Gudnason, V, Heckbert, SR, Jukema, JW, Liu, Y, Psaty, BM, Rao, DC, Rotter, JI, Stricker, B, Wilson, JG, and Whitsel, EA

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Prevention, Cardiovascular, Minority Health, Heart Disease, Health Disparities, Genetics, Human Genome, 2.1 Biological and endogenous factors, Good Health and Well Being, Black or African American, Diuretics, Genetic Variation, Genome-Wide Association Study, Humans, Hypertension, Lipids, White People, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

Hypertension (HTN) is a significant risk factor for cardiovascular morbidity and mortality. Metabolic abnormalities, including adverse cholesterol and triglycerides (TG) profiles, are frequent comorbid findings with HTN and contribute to cardiovascular disease. Diuretics, which are used to treat HTN and heart failure, have been associated with worsening of fasting lipid concentrations. Genome-wide meta-analyses with 39,710 European-ancestry (EA) individuals and 9925 African-ancestry (AA) individuals were performed to identify genetic variants that modify the effect of loop or thiazide diuretic use on blood lipid concentrations. Both longitudinal and cross sectional data were used to compute cohort-specific interaction results, which were then combined through meta-analysis in each ancestry. These ancestry-specific results were further combined through trans-ancestry meta-analysis. Analysis of EA data identified two genome-wide significant (p

Published
2020

5. Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology

Author

Seyerle, AA, Sitlani, CM, Noordam, R, Gogarten, SM, Li, J, Li, X, Evans, DS, Sun, F, Laaksonen, MA, Isaacs, A, Kristiansson, K, Highland, HM, Stewart, JD, Harris, TB, Trompet, S, Bis, JC, Peloso, GM, Brody, JA, Broer, L, Busch, EL, Duan, Q, Stilp, AM, O'Donnell, CJ, Macfarlane, PW, Floyd, JS, Kors, JA, Lin, HJ, Li-Gao, R, Sofer, T, Méndez-Giráldez, R, Cummings, SR, Heckbert, SR, Hofman, A, Ford, I, Li, Y, Launer, LJ, Porthan, K, Newton-Cheh, C, Napier, MD, Kerr, KF, Reiner, AP, Rice, KM, Roach, J, Buckley, BM, Soliman, EZ, de Mutsert, R, Sotoodehnia, N, Uitterlinden, AG, North, KE, Lee, CR, Gudnason, V, Stürmer, T, Rosendaal, FR, Taylor, KD, Wiggins, KL, Wilson, JG, Chen, Y-DI, Kaplan, RC, Wilhelmsen, K, Cupples, LA, Salomaa, V, van Duijn, C, Jukema, JW, Liu, Y, Mook-Kanamori, DO, Lange, LA, Vasan, RS, Smith, AV, Stricker, BH, Laurie, CC, Rotter, JI, Whitsel, EA, Psaty, BM, and Avery, CL

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Cardiovascular, Human Genome, Aging, Minority Health, Genetics, Health Disparities, Adult, Aged, Aged, 80 and over, Cohort Studies, Electrocardiography, Ethnicity, Female, Genomics, Heart Rate, Humans, Longitudinal Studies, Male, Middle Aged, Pharmacogenetics, Polymorphism, Single Nucleotide, Sodium Chloride Symporter Inhibitors, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

Thiazide diuretics, commonly used antihypertensives, may cause QT interval (QT) prolongation, a risk factor for highly fatal and difficult to predict ventricular arrhythmias. We examined whether common single-nucleotide polymorphisms (SNPs) modified the association between thiazide use and QT or its component parts (QRS interval, JT interval) by performing ancestry-specific, trans-ethnic and cross-phenotype genome-wide analyses of European (66%), African American (15%) and Hispanic (19%) populations (N=78 199), leveraging longitudinal data, incorporating corrected standard errors to account for underestimation of interaction estimate variances and evaluating evidence for pathway enrichment. Although no loci achieved genome-wide significance (P

Published
2018

6. Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group

Author

Floyd, JS, Sitlani, CM, Avery, CL, Noordam, R, Li, X, Smith, AV, Gogarten, SM, Li, J, Broer, L, Evans, DS, Trompet, S, Brody, JA, Stewart, JD, Eicher, JD, Seyerle, AA, Roach, J, Lange, LA, Lin, HJ, Kors, JA, Harris, TB, Li-Gao, R, Sattar, N, Cummings, SR, Wiggins, KL, Napier, MD, Stürmer, T, Bis, JC, Kerr, KF, Uitterlinden, AG, Taylor, KD, Stott, DJ, de Mutsert, R, Launer, LJ, Busch, EL, Méndez-Giráldez, R, Sotoodehnia, N, Soliman, EZ, Li, Y, Duan, Q, Rosendaal, FR, Slagboom, PE, Wilhelmsen, KC, Reiner, AP, Chen, Y-DI, Heckbert, SR, Kaplan, RC, Rice, KM, Jukema, JW, Johnson, AD, Liu, Y, Mook-Kanamori, DO, Gudnason, V, Wilson, JG, Rotter, JI, Laurie, CC, Psaty, BM, Whitsel, EA, Cupples, LA, and Stricker, BH

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Cardiovascular, Human Genome, Patient Safety, Heart Disease, Genetics, Prevention, Good Health and Well Being, Aged, Cardiovascular Diseases, Cytochrome P-450 CYP2C9, Diabetes Mellitus, Type 2, Drug-Related Side Effects and Adverse Reactions, Electrocardiography, Ethnicity, Female, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Pharmacogenetics, Pharmacogenomic Testing, Sulfonylurea Compounds, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

Sulfonylureas, a commonly used class of medication used to treat type 2 diabetes, have been associated with an increased risk of cardiovascular disease. Their effects on QT interval duration and related electrocardiographic phenotypes are potential mechanisms for this adverse effect. In 11 ethnically diverse cohorts that included 71 857 European, African-American and Hispanic/Latino ancestry individuals with repeated measures of medication use and electrocardiogram (ECG) measurements, we conducted a pharmacogenomic genome-wide association study of sulfonylurea use and three ECG phenotypes: QT, JT and QRS intervals. In ancestry-specific meta-analyses, eight novel pharmacogenomic loci met the threshold for genome-wide significance (P

Published
2018

7. Association of bone turnover markers with volumetric bone loss, periosteal apposition, and fracture risk in older men and women: the AGES-Reykjavik longitudinal study.

Author

Sigurdsson, G, Sigurdsson, S, Aspelund, T, Siggeirsdottir, K, Launer, L, Eiriksdottir, G, Harris, T, Marques, E, Gudnason, V, and Lang, Thomas

Subjects
Aging, Bone turnover, Endosteal bone loss, Fracture risk, Periosteal apposition, QCT, Aged, Aged, 80 and over, Biomarkers, Bone Density, Bone Remodeling, Female, Femur Neck, Fractures, Bone, Humans, Iceland, Longitudinal Studies, Male
Abstract

UNLABELLED: Association between serum bone formation and resorption markers and cortical and trabecular bone loss and the concurrent periosteal apposition in a population-based cohort of 1069 older adults was assessed. BTM levels moderately reflect the cellular events at the endosteal and periosteal surfaces but are not associated with fracture risk. INTRODUCTION: We assessed whether circulating bone formation and resorption markers (BTM) were individual predictors for trabecular and cortical bone loss, periosteal expansion, and fracture risk in older adults aged 66 to 93 years from the AGES-Reykjavik study. METHODS: The sample for the quantitative computed tomography (QCT)-derived cortical and trabecular BMD and periosteal expansion analysis consisted of 1069 participants (474 men and 595 women) who had complete baseline (2002 to 2006) and follow-up (2007 to 2011) hip QCT scans and serum baseline BTM. During the median follow-up of 11.7 years (range 5.4-12.5), 54 (11.4 %) men and 182 (30.6 %) women sustained at least one fracture of any type. RESULTS: Increase in BTM levels was associated with faster cortical and trabecular bone loss at the femoral neck and proximal femur in men and women. Higher BTM levels were positively related with periosteal expansion rate at the femoral neck in men. Markers were not associated with fracture risk. CONCLUSION: This data corroborates the notion from few previous studies that both envelopes are metabolically active and that BTM levels may moderately reflect the cellular events at the endosteal and periosteal surfaces. However, our results do not support the routine use of BTM to assess fracture risk in older men and women. In light of these findings, further studies are justified to examine whether systemic markers of bone turnover might prove useful in monitoring skeletal remodeling events and the effects of current osteoporosis drugs at the periosteum.

Published
2016

8. Association of bone turnover markers with volumetric bone loss, periosteal apposition, and fracture risk in older men and women: the AGES-Reykjavik longitudinal study

Author

Marques, EA, Gudnason, V, Lang, T, Sigurdsson, G, Sigurdsson, S, Aspelund, T, Siggeirsdottir, K, Launer, L, Eiriksdottir, G, and Harris, TB

Subjects
Osteoporosis, Aging, Clinical Research, Musculoskeletal, Aged, Aged, 80 and over, Biomarkers, Bone Density, Bone Remodeling, Female, Femur Neck, Fractures, Bone, Humans, Iceland, Longitudinal Studies, Male, Bone turnover, Endosteal bone loss, Fracture risk, Periosteal apposition, QCT, Biomedical Engineering, Clinical Sciences, Public Health and Health Services, Endocrinology & Metabolism
Abstract

Association between serum bone formation and resorption markers and cortical and trabecular bone loss and the concurrent periosteal apposition in a population-based cohort of 1069 older adults was assessed. BTM levels moderately reflect the cellular events at the endosteal and periosteal surfaces but are not associated with fracture risk.IntroductionWe assessed whether circulating bone formation and resorption markers (BTM) were individual predictors for trabecular and cortical bone loss, periosteal expansion, and fracture risk in older adults aged 66 to 93 years from the AGES-Reykjavik study.MethodsThe sample for the quantitative computed tomography (QCT)-derived cortical and trabecular BMD and periosteal expansion analysis consisted of 1069 participants (474 men and 595 women) who had complete baseline (2002 to 2006) and follow-up (2007 to 2011) hip QCT scans and serum baseline BTM. During the median follow-up of 11.7 years (range 5.4-12.5), 54 (11.4 %) men and 182 (30.6 %) women sustained at least one fracture of any type.ResultsIncrease in BTM levels was associated with faster cortical and trabecular bone loss at the femoral neck and proximal femur in men and women. Higher BTM levels were positively related with periosteal expansion rate at the femoral neck in men. Markers were not associated with fracture risk.ConclusionThis data corroborates the notion from few previous studies that both envelopes are metabolically active and that BTM levels may moderately reflect the cellular events at the endosteal and periosteal surfaces. However, our results do not support the routine use of BTM to assess fracture risk in older men and women. In light of these findings, further studies are justified to examine whether systemic markers of bone turnover might prove useful in monitoring skeletal remodeling events and the effects of current osteoporosis drugs at the periosteum.

Published
2016

9. Are bone turnover markers associated with volumetric bone density, size, and strength in older men and women? The AGES-Reykjavik study.

Author

Marques, E, Gudnason, V, Sigurdsson, G, Johannesdottir, F, Siggeirsdottir, K, Launer, L, Eiriksdottir, G, Harris, T, and Lang, Thomas

Subjects
Bone turnover markers, Cortical bone, Osteoporosis, QCT, Trabecular bone, Aged, Aged, 80 and over, Biomarkers, Bone Density, Bone Remodeling, Collagen Type I, Compressive Strength, Female, Femur Neck, Humans, Lumbar Vertebrae, Male, Osteocalcin, Peptide Fragments, Peptides, Procollagen, Prospective Studies, Tomography, X-Ray Computed
Abstract

UNLABELLED: Association between serum bone formation and resorption markers and bone mineral, structural, and strength variables derived from quantitative computed tomography (QCT) in a population-based cohort of 1745 older adults was assessed. The association was weak for lumbar spine and femoral neck areal and volumetric bone mineral density. INTRODUCTION: The aim of this study was to examine the relationship between levels of bone turnover markers (BTMs; osteocalcin (OC), C-terminal cross-linking telopeptide of type I collagen (CTX), and procollagen type 1N propeptide (P1NP)) and quantitative computed tomography (QCT)-derived bone density, geometry, and strength indices in the lumbar spine and femoral neck (FN). METHODS: A total of 1745 older individuals (773 men and 972 women, aged 66-92 years) from the Age, Gene/Environment Susceptibility (AGES)-Reykjavik cohort were studied. QCT was performed in the lumbar spine and hip to estimate volumetric trabecular, cortical, and integral bone mineral density (BMD), areal BMD, bone geometry, and bone strength indices. Association between BTMs and QCT variables were explored using multivariable linear regression. RESULTS: Major findings showed that all BMD measures, FN cortical index, and compressive strength had a low negative correlation with the BTM levels in both men and women. Correlations between BTMs and bone size parameters were minimal or not significant. No associations were found between BTMs and vertebral cross-sectional area in women. BTMs alone accounted for only a relatively small percentage of the bone parameter variance (1-10 %). CONCLUSION: Serum CTX, OC, and P1NP were weakly correlated with lumbar spine and FN areal and volumetric BMD and strength measures. Most of the bone size indices were not associated with BTMs; thus, the selected bone remodeling markers do not reflect periosteal bone formation. These results confirmed the limited ability of the most sensitive established BTMs to predict bone structural integrity in older adults.

Published
2016

10. 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

11. A novel Alzheimer disease locus located near the gene encoding tau protein.

Author

Jun, G, Ibrahim-Verbaas, CA, Vronskaya, M, Lambert, J-C, Chung, J, Naj, AC, Kunkle, BW, Wang, L-S, Bis, JC, Bellenguez, C, Harold, D, Lunetta, KL, Destefano, AL, Grenier-Boley, B, Sims, R, Beecham, GW, Smith, AV, Chouraki, V, Hamilton-Nelson, KL, Ikram, MA, Fievet, N, Denning, N, Martin, ER, Schmidt, H, Kamatani, Y, Dunstan, ML, Valladares, O, Laza, AR, Zelenika, D, Ramirez, A, Foroud, TM, Choi, S-H, Boland, A, Becker, T, Kukull, WA, van der Lee, SJ, Pasquier, F, Cruchaga, C, Beekly, D, Fitzpatrick, AL, Hanon, O, Gill, M, Barber, R, Gudnason, V, Campion, D, Love, S, Bennett, DA, Amin, N, Berr, C, Tsolaki, Magda, Buxbaum, JD, Lopez, OL, Deramecourt, V, Fox, NC, Cantwell, LB, Tárraga, L, Dufouil, C, Hardy, J, Crane, PK, Eiriksdottir, G, Hannequin, D, Clarke, R, Evans, D, Mosley, TH, Letenneur, L, Brayne, C, Maier, W, De Jager, P, Emilsson, V, Dartigues, J-F, Hampel, H, Kamboh, MI, de Bruijn, RFAG, Tzourio, C, Pastor, P, Larson, EB, Rotter, JI, O'Donovan, MC, Montine, TJ, Nalls, MA, Mead, S, Reiman, EM, Jonsson, PV, Holmes, C, St George-Hyslop, PH, Boada, M, Passmore, P, Wendland, JR, Schmidt, R, Morgan, K, Winslow, AR, Powell, JF, Carasquillo, M, Younkin, SG, Jakobsdóttir, J, Kauwe, JSK, Wilhelmsen, KC, Rujescu, D, Nöthen, MM, and Hofman, A

Subjects
IGAP Consortium, Chromosomes, Human, Pair 17, Humans, Alzheimer Disease, tau Proteins, Polymorphism, Single Nucleotide, Apolipoprotein E4, Genome-Wide Association Study, Alzheimer's Disease, Prevention, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Human Genome, Neurodegenerative, Neurosciences, Acquired Cognitive Impairment, Genetics, Brain Disorders, Aging, 2.1 Biological and endogenous factors, Neurological, Psychiatry, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

APOE ɛ4, the most significant genetic risk factor for Alzheimer disease (AD), may mask effects of other loci. We re-analyzed genome-wide association study (GWAS) data from the International Genomics of Alzheimer's Project (IGAP) Consortium in APOE ɛ4+ (10 352 cases and 9207 controls) and APOE ɛ4- (7184 cases and 26 968 controls) subgroups as well as in the total sample testing for interaction between a single-nucleotide polymorphism (SNP) and APOE ɛ4 status. Suggestive associations (P

Published
2016

12. Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance

Author

Mei, H, Simino, J, Li, L, Jiang, F, Bis, JC, Davies, G, Hill, WD, Xia, C, Gudnason, V, Yang, Q, Lahti, J, Smith, JA, Kirin, M, De Jager, P, Armstrong, NJ, Ghanbari, M, Kolcic, I, Moran, C, Teumer, A, Sargurupremraj, M, Mahmud, S, Fornage, M, Zhao, W, Satizabal, CL, Polasek, O, Räikkönen, K, Liewald, DC, Homuth, G, Callisaya, M, Mather, KA ; https://orcid.org/0000-0003-4143-8941, Windham, BG, Zemunik, T, Palotie, A, Pattie, A, van der Auwera, S, Thalamuthu, A ; https://orcid.org/0000-0002-7114-1260, Knopman, DS, Rudan, I, Starr, JM, Wittfeld, K, Kochan, NA ; https://orcid.org/0000-0002-8630-6398, Griswold, ME, Vitart, V, Brodaty, H ; https://orcid.org/0000-0001-9487-6617, Gottesman, R, Cox, SR, Psaty, BM, Boerwinkle, E, Chasman, DI, Grodstein, F, Sachdev, PS ; https://orcid.org/0000-0002-9595-3220, Srikanth, V, Hayward, C, Wilson, JF, Eriksson, JG, Kardia, SLR, Grabe, HJ, Bennett, DA, Ikram, MA, Deary, IJ, van Duijn, CM, Launer, L, Fitzpatrick, AL, Seshadri, S, Bressler, J, Debette, S, Mosley, TH, Mei, H, Simino, J, Li, L, Jiang, F, Bis, JC, Davies, G, Hill, WD, Xia, C, Gudnason, V, Yang, Q, Lahti, J, Smith, JA, Kirin, M, De Jager, P, Armstrong, NJ, Ghanbari, M, Kolcic, I, Moran, C, Teumer, A, Sargurupremraj, M, Mahmud, S, Fornage, M, Zhao, W, Satizabal, CL, Polasek, O, Räikkönen, K, Liewald, DC, Homuth, G, Callisaya, M, Mather, KA ; https://orcid.org/0000-0003-4143-8941, Windham, BG, Zemunik, T, Palotie, A, Pattie, A, van der Auwera, S, Thalamuthu, A ; https://orcid.org/0000-0002-7114-1260, Knopman, DS, Rudan, I, Starr, JM, Wittfeld, K, Kochan, NA ; https://orcid.org/0000-0002-8630-6398, Griswold, ME, Vitart, V, Brodaty, H ; https://orcid.org/0000-0001-9487-6617, Gottesman, R, Cox, SR, Psaty, BM, Boerwinkle, E, Chasman, DI, Grodstein, F, Sachdev, PS ; https://orcid.org/0000-0002-9595-3220, Srikanth, V, Hayward, C, Wilson, JF, Eriksson, JG, Kardia, SLR, Grabe, HJ, Bennett, DA, Ikram, MA, Deary, IJ, van Duijn, CM, Launer, L, Fitzpatrick, AL, Seshadri, S, Bressler, J, Debette, S, and Mosley, TH

Abstract

Background: Uncovering the functional relevance underlying verbal declarative memory (VDM) genome-wide association study (GWAS) results may facilitate the development of interventions to reduce age-related memory decline and dementia. Methods: We performed multi-omics and pathway enrichment analyses of paragraph (PAR-dr) and word list (WL-dr) delayed recall GWAS from 29,076 older non-demented individuals of European descent. We assessed the relationship between single-variant associations and expression quantitative trait loci (eQTLs) in 44 tissues and methylation quantitative trait loci (meQTLs) in the hippocampus. We determined the relationship between gene associations and transcript levels in 53 tissues, annotation as immune genes, and regulation by transcription factors (TFs) and microRNAs. To identify significant pathways, gene set enrichment was tested in each cohort and meta-analyzed across cohorts. Analyses of differential expression in brain tissues were conducted for pathway component genes. Results: The single-variant associations of VDM showed significant linkage disequilibrium (LD) with eQTLs across all tissues and meQTLs within the hippocampus. Stronger WL-dr gene associations correlated with reduced expression in four brain tissues, including the hippocampus. More robust PAR-dr and/or WL-dr gene associations were intricately linked with immunity and were influenced by 31 TFs and 2 microRNAs. Six pathways, including type I diabetes, exhibited significant associations with both PAR-dr and WL-dr. These pathways included fifteen MHC genes intricately linked to VDM performance, showing diverse expression patterns based on cognitive status in brain tissues. Conclusions: VDM genetic associations influence expression regulation via eQTLs and meQTLs. The involvement of TFs, microRNAs, MHC genes, and immune-related pathways contributes to VDM performance in older individuals.

Published
2024

13. Genetic variants for head size share genes and pathways with cancer

Author

Knol, MJ, Poot, RA, Evans, TE, Satizabal, CL, Mishra, A, Sargurupremraj, M, van der Auwera, S, Duperron, MG, Jian, X, Hostettler, IC, van Dam-Nolen, DHK, Lamballais, S, Pawlak, MA, Lewis, CE, Carrion-Castillo, A, van Erp, TGM, Reinbold, CS, Shin, J, Scholz, M, Håberg, AK, Kämpe, A, Li, GHY, Avinun, R, Atkins, JR, Hsu, FC, Amod, AR, Lam, M, Tsuchida, A, Teunissen, MWA, Aygün, N, Patel, Y, Liang, D, Beiser, AS, Beyer, F, Bis, JC, Bos, D, Bryan, RN, Bülow, R, Caspers, S, Catheline, G, Cecil, CAM, Dalvie, S, Dartigues, JF, DeCarli, C, Enlund-Cerullo, M, Ford, JM, Franke, B, Freedman, BI, Friedrich, N, Green, MJ ; https://orcid.org/0000-0002-9361-4874, Haworth, S, Helmer, C, Hoffmann, P, Homuth, G, Ikram, MK, Jack, CR, Jahanshad, N, Jockwitz, C, Kamatani, Y, Knodt, AR, Li, S, Lim, K, Longstreth, WT, Macciardi, F, Amouyel, P, Arfanakis, K, Aribisala, BS, Bastin, ME, Chauhan, G, Chen, C, Cheng, CY, de Jager, PL, Deary, IJ, Fleischman, DA, Gottesman, RF, Gudnason, V, Hilal, S, Hofer, E, Janowitz, D, Jukema, JW, Liewald, DCM, Lopez, LM, Lopez, O, Luciano, M, Martinez, O, Niessen, WJ, Nyquist, P, Rotter, JI, Rundek, T, Sacco, RL, Schmidt, H, Tiemeier, H, Trompet, S, van der Grond, J, Völzke, H, Wardlaw, JM, Yanek, L, Yang, J, Agartz, I, Alhusaini, S, Quide, Yann ; https://orcid.org/0000-0002-8569-7139, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, Carr, Vaughan ; https://orcid.org/0000-0002-8907-5804, Brodaty, Henry ; https://orcid.org/0000-0001-9487-6617, Wen, Wei ; https://orcid.org/0000-0003-2753-3870, Knol, MJ, Poot, RA, Evans, TE, Satizabal, CL, Mishra, A, Sargurupremraj, M, van der Auwera, S, Duperron, MG, Jian, X, Hostettler, IC, van Dam-Nolen, DHK, Lamballais, S, Pawlak, MA, Lewis, CE, Carrion-Castillo, A, van Erp, TGM, Reinbold, CS, Shin, J, Scholz, M, Håberg, AK, Kämpe, A, Li, GHY, Avinun, R, Atkins, JR, Hsu, FC, Amod, AR, Lam, M, Tsuchida, A, Teunissen, MWA, Aygün, N, Patel, Y, Liang, D, Beiser, AS, Beyer, F, Bis, JC, Bos, D, Bryan, RN, Bülow, R, Caspers, S, Catheline, G, Cecil, CAM, Dalvie, S, Dartigues, JF, DeCarli, C, Enlund-Cerullo, M, Ford, JM, Franke, B, Freedman, BI, Friedrich, N, Green, MJ ; https://orcid.org/0000-0002-9361-4874, Haworth, S, Helmer, C, Hoffmann, P, Homuth, G, Ikram, MK, Jack, CR, Jahanshad, N, Jockwitz, C, Kamatani, Y, Knodt, AR, Li, S, Lim, K, Longstreth, WT, Macciardi, F, Amouyel, P, Arfanakis, K, Aribisala, BS, Bastin, ME, Chauhan, G, Chen, C, Cheng, CY, de Jager, PL, Deary, IJ, Fleischman, DA, Gottesman, RF, Gudnason, V, Hilal, S, Hofer, E, Janowitz, D, Jukema, JW, Liewald, DCM, Lopez, LM, Lopez, O, Luciano, M, Martinez, O, Niessen, WJ, Nyquist, P, Rotter, JI, Rundek, T, Sacco, RL, Schmidt, H, Tiemeier, H, Trompet, S, van der Grond, J, Völzke, H, Wardlaw, JM, Yanek, L, Yang, J, Agartz, I, Alhusaini, S, Quide, Yann ; https://orcid.org/0000-0002-8569-7139, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, Carr, Vaughan ; https://orcid.org/0000-0002-8907-5804, Brodaty, Henry ; https://orcid.org/0000-0001-9487-6617, and Wen, Wei ; https://orcid.org/0000-0003-2753-3870

Abstract

The size of the human head is highly heritable, but genetic drivers of its variation within the general population remain unmapped. We perform a genome-wide association study on head size (N = 80,890) and identify 67 genetic loci, of which 50 are novel. Neuroimaging studies show that 17 variants affect specific brain areas, but most have widespread effects. Gene set enrichment is observed for various cancers and the p53, Wnt, and ErbB signaling pathways. Genes harboring lead variants are enriched for macrocephaly syndrome genes (37-fold) and high-fidelity cancer genes (9-fold), which is not seen for human height variants. Head size variants are also near genes preferentially expressed in intermediate progenitor cells, neural cells linked to evolutionary brain expansion. Our results indicate that genes regulating early brain and cranial growth incline to neoplasia later in life, irrespective of height. This warrants investigation of clinical implications of the link between head size and cancer.

Published
2024

14. Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease : Pooled De Novo Results From 15 Observational Studies

Author

Laguzzi, F., Åkesson, A., Marklund, Matti, Qian, F., Gigante, B., Bartz, T. M., Bassett, J. K., Birukov, A., Campos, H., Hirakawa, Y., Imamura, F., Jäger, S., Lankinen, M., Murphy, R. A., Senn, M., Tanaka, T., Tintle, N., Virtanen, J. K., Yamagishi, K., Allison, M., Brouwer, I. A., De Faire, U., Eiriksdottir, G., Ferrucci, L., Forouhi, N. G., Geleijnse, J. M., Hodge, A. M., Kimura, H., Laakso, M., Risérus, Ulf, van Westing, A. C., Bandinelli, S., Baylin, A., Giles, G. G., Gudnason, V., Iso, H., Lemaitre, R. N., Ninomiya, T., Post, W. S., Psaty, B. M., Salonen, J. T., Schulze, M. B., Tsai, M. Y., Uusitupa, M., Wareham, N. J., Oh, S.-W., Wood, A. C., Harris, W. S., Siscovick, D., Mozaffarian, D., Leander, K., Laguzzi, F., Åkesson, A., Marklund, Matti, Qian, F., Gigante, B., Bartz, T. M., Bassett, J. K., Birukov, A., Campos, H., Hirakawa, Y., Imamura, F., Jäger, S., Lankinen, M., Murphy, R. A., Senn, M., Tanaka, T., Tintle, N., Virtanen, J. K., Yamagishi, K., Allison, M., Brouwer, I. A., De Faire, U., Eiriksdottir, G., Ferrucci, L., Forouhi, N. G., Geleijnse, J. M., Hodge, A. M., Kimura, H., Laakso, M., Risérus, Ulf, van Westing, A. C., Bandinelli, S., Baylin, A., Giles, G. G., Gudnason, V., Iso, H., Lemaitre, R. N., Ninomiya, T., Post, W. S., Psaty, B. M., Salonen, J. T., Schulze, M. B., Tsai, M. Y., Uusitupa, M., Wareham, N. J., Oh, S.-W., Wood, A. C., Harris, W. S., Siscovick, D., Mozaffarian, D., and Leander, K.

Abstract

BACKGROUND: It is unknown whether dietary intake of polyunsaturated fatty acids (PUFA) modifies the cardiovascular disease (CVD) risk associated with a family history of CVD. We assessed interactions between biomarkers of low PUFA intake and a family history in relation to long-term CVD risk in a large consortium. METHODS: Blood and tissue PUFA data from 40 885 CVD-free adults were assessed. PUFA levels ≤25th percentile were considered to reflect low intake of linoleic, alpha-linolenic, and eicosapentaenoic/docosahexaenoic acids (EPA/DHA). Family history was defined as having ≥1 first-degree relative who experienced a CVD event. Relative risks with 95% CI of CVD were estimated using Cox regression and meta-analyzed. Interactions were assessed by analyzing product terms and calculating relative excess risk due to interaction. RESULTS: After multivariable adjustments, a significant interaction between low EPA/DHA and family history was observed (product term pooled RR, 1.09 [95% CI, 1.02-1.16]; P=0.01). The pooled relative risk of CVD associated with the combined exposure to low EPA/DHA, and family history was 1.41 (95% CI, 1.30-1.54), whereas it was 1.25 (95% CI, 1.16-1.33) for family history alone and 1.06 (95% CI, 0.98-1.14) for EPA/DHA alone, compared with those with neither exposure. The relative excess risk due to interaction results indicated no interactions. CONCLUSIONS: A significant interaction between biomarkers of low EPA/DHA intake, but not the other PUFA, and a family history was observed. This novel finding might suggest a need to emphasize the benefit of consuming oily fish for individuals with a family history of CVD.

Published
2024
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15. A meta-analysis of previous falls and subsequent fracture risk in cohort studies.

Author

Vandenput, L, Johansson, H, McCloskey, EV, Liu, E, Schini, M, Åkesson, KE, Anderson, FA, Azagra, R, Bager, CL, Beaudart, C, Bischoff-Ferrari, HA, Biver, E, Bruyère, O, Cauley, JA, Center, JR, Chapurlat, R, Christiansen, C, Cooper, C, Crandall, CJ, Cummings, SR, da Silva, JAP, Dawson-Hughes, B, Diez-Perez, A, Dufour, AB, Eisman, JA, Elders, PJM, Ferrari, S, Fujita, Y, Fujiwara, S, Glüer, C-C, Goldshtein, I, Goltzman, D, Gudnason, V, Hall, J, Hans, D, Hoff, M, Hollick, RJ, Huisman, M, Iki, M, Ish-Shalom, S, Jones, G, Karlsson, MK, Khosla, S, Kiel, DP, Koh, W-P, Koromani, F, Kotowicz, MA, Kröger, H, Kwok, T, Lamy, O, Langhammer, A, Larijani, B, Lippuner, K, McGuigan, FEA, Mellström, D, Merlijn, T, Nguyen, TV, Nordström, A, Nordström, P, O'Neill, TW, Obermayer-Pietsch, B, Ohlsson, C, Orwoll, ES, Pasco, JA, Rivadeneira, F, Schott, A-M, Shiroma, EJ, Siggeirsdottir, K, Simonsick, EM, Sornay-Rendu, E, Sund, R, Swart, KMA, Szulc, P, Tamaki, J, Torgerson, DJ, van Schoor, NM, van Staa, TP, Vila, J, Wareham, NJ, Wright, NC, Yoshimura, N, Zillikens, M, Zwart, M, Harvey, NC, Lorentzon, M, Leslie, WD, Kanis, JA, Vandenput, L, Johansson, H, McCloskey, EV, Liu, E, Schini, M, Åkesson, KE, Anderson, FA, Azagra, R, Bager, CL, Beaudart, C, Bischoff-Ferrari, HA, Biver, E, Bruyère, O, Cauley, JA, Center, JR, Chapurlat, R, Christiansen, C, Cooper, C, Crandall, CJ, Cummings, SR, da Silva, JAP, Dawson-Hughes, B, Diez-Perez, A, Dufour, AB, Eisman, JA, Elders, PJM, Ferrari, S, Fujita, Y, Fujiwara, S, Glüer, C-C, Goldshtein, I, Goltzman, D, Gudnason, V, Hall, J, Hans, D, Hoff, M, Hollick, RJ, Huisman, M, Iki, M, Ish-Shalom, S, Jones, G, Karlsson, MK, Khosla, S, Kiel, DP, Koh, W-P, Koromani, F, Kotowicz, MA, Kröger, H, Kwok, T, Lamy, O, Langhammer, A, Larijani, B, Lippuner, K, McGuigan, FEA, Mellström, D, Merlijn, T, Nguyen, TV, Nordström, A, Nordström, P, O'Neill, TW, Obermayer-Pietsch, B, Ohlsson, C, Orwoll, ES, Pasco, JA, Rivadeneira, F, Schott, A-M, Shiroma, EJ, Siggeirsdottir, K, Simonsick, EM, Sornay-Rendu, E, Sund, R, Swart, KMA, Szulc, P, Tamaki, J, Torgerson, DJ, van Schoor, NM, van Staa, TP, Vila, J, Wareham, NJ, Wright, NC, Yoshimura, N, Zillikens, M, Zwart, M, Harvey, NC, Lorentzon, M, Leslie, WD, and Kanis, JA

Abstract

UNLABELLED: The relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm. INTRODUCTION: Previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD). METHODS: The resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients. RESULTS: Falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33-1.51) and men (HR 1.53, 95% CI 1.41-1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27-1.84) in men vs. HR 1

Published
2024

16. Understanding the genetic complexity of puberty timing across the allele frequency spectrum

Author

Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, Ong, KK, Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, and Ong, KK

Abstract

Pubertal timing varies considerably and is associated with later health outcomes. We performed multi-ancestry genetic analyses on ~800,000 women, identifying 1,080 signals for age at menarche. Collectively, these explained 11% of trait variance in an independent sample. Women at the top and bottom 1% of polygenic risk exhibited ~11 and ~14-fold higher risks of delayed and precocious puberty, respectively. We identified several genes harboring rare loss-of-function variants in ~200,000 women, including variants in ZNF483, which abolished the impact of polygenic risk. Variant-to-gene mapping approaches and mouse gonadotropin-releasing hormone neuron RNA sequencing implicated 665 genes, including an uncharacterized G-protein-coupled receptor, GPR83, which amplified the signaling of MC3R, a key nutritional sensor. Shared signals with menopause timing at genes involved in DNA damage response suggest that the ovarian reserve might signal centrally to trigger puberty. We also highlight body size-dependent and independent mechanisms that potentially link reproductive timing to later life disease.

Published
2024

17. A meta-analysis of previous falls and subsequent fracture risk in cohort studies

Author

Vandenput, L., Johansson, H., McCloskey, E. V., Liu, E., Schini, M., Åkesson, K.E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyère, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C. -C, Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W. -P, Koromani, F., Kotowicz, M. A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., McGuigan, F. E. A., Mellström, D., Merlijn, T., Nguyen, T. V., Nordström, Anna, Nordström, P., O’Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schott, A. -M, Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Harvey, N. C., Lorentzon, M., Leslie, W. D., Kanis, J. A., Vandenput, L., Johansson, H., McCloskey, E. V., Liu, E., Schini, M., Åkesson, K.E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyère, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C. -C, Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W. -P, Koromani, F., Kotowicz, M. A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., McGuigan, F. E. A., Mellström, D., Merlijn, T., Nguyen, T. V., Nordström, Anna, Nordström, P., O’Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schott, A. -M, Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Harvey, N. C., Lorentzon, M., Leslie, W. D., and Kanis, J. A.

Abstract

Summary: The relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm. Introduction: Previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD). Methods: The resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients. Results: Falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33–1.51) and men (HR 1.53, 95% CI 1.41–1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27–1.84) in men vs. HR 1.32

Published
2024
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19. Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study

Author

Gottlieb, DJ, Hek, K, Chen, T-H, Watson, NF, Eiriksdottir, G, Byrne, EM, Cornelis, M, Warby, SC, Bandinelli, S, Cherkas, L, Evans, DS, Grabe, HJ, Lahti, J, Li, M, Lehtimäki, T, Lumley, T, Marciante, KD, Pérusse, L, Psaty, BM, Robbins, J, Tranah, GJ, Vink, JM, Wilk, JB, Stafford, JM, Bellis, C, Biffar, R, Bouchard, C, Cade, B, Curhan, GC, Eriksson, JG, Ewert, R, Ferrucci, L, Fülöp, T, Gehrman, PR, Goodloe, R, Harris, TB, Heath, AC, Hernandez, D, Hofman, A, Hottenga, J-J, Hunter, DJ, Jensen, MK, Johnson, AD, Kähönen, M, Kao, L, Kraft, P, Larkin, EK, Lauderdale, DS, Luik, AI, Medici, M, Montgomery, GW, Palotie, A, Patel, SR, Pistis, G, Porcu, E, Quaye, L, Raitakari, O, Redline, S, Rimm, EB, Rotter, JI, Smith, AV, Spector, TD, Teumer, A, Uitterlinden, AG, Vohl, M-C, Widen, E, Willemsen, G, Young, T, Zhang, X, Liu, Y, Blangero, J, Boomsma, DI, Gudnason, V, Hu, F, Mangino, M, Martin, NG, O'Connor, GT, Stone, KL, Tanaka, T, Viikari, J, Gharib, SA, Punjabi, NM, Räikkönen, K, Völzke, H, Mignot, E, and Tiemeier, H

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Human Genome, Sleep Research, Genetics, Health Disparities, 2.1 Biological and endogenous factors, Good Health and Well Being, Adult, Black or African American, Aged, Dyssomnias, Female, Genetic Association Studies, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Self Report, Sleep, White People, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study (GWAS) of usual sleep duration was conducted using 18 population-based cohorts totaling 47 180 individuals of European ancestry. Genome-wide significant association was identified at two loci. The strongest is located on chromosome 2, in an intergenic region 35- to 80-kb upstream from the thyroid-specific transcription factor PAX8 (lowest P=1.1 × 10(-9)). This finding was replicated in an African-American sample of 4771 individuals (lowest P=9.3 × 10(-4)). The strongest combined association was at rs1823125 (P=1.5 × 10(-10), minor allele frequency 0.26 in the discovery sample, 0.12 in the replication sample), with each copy of the minor allele associated with a sleep duration 3.1 min longer per night. The alleles associated with longer sleep duration were associated in previous GWAS with a more favorable metabolic profile and a lower risk of attention deficit hyperactivity disorder. Understanding the mechanisms underlying these associations may help elucidate biological mechanisms influencing sleep duration and its association with psychiatric, metabolic and cardiovascular disease.

Published
2015

20. Polyunsaturated fatty acids in relation to incident mobility disability and decline in gait speed; the Age, Gene/Environment Susceptibility-Reykjavik Study

Author

Reinders, I, Murphy, RA, Song, X, Visser, M, Cotch, MF, Lang, TF, Garcia, ME, Launer, LJ, Siggeirsdottir, K, Eiriksdottir, G, Jonsson, PV, Gudnason, V, Harris, TB, and Brouwer, IA

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Aging, Prevention, Clinical Research, Nutrition, Genetics, Aged, Aged, 80 and over, Body Mass Index, Cross-Sectional Studies, Environment, Fatty Acids, Omega-3, Fatty Acids, Omega-6, Female, Follow-Up Studies, Gait, Humans, Logistic Models, Male, Mobility Limitation, Motor Activity, Multivariate Analysis, Prospective Studies, Risk Factors, Surveys and Questionnaires, Waist Circumference, Food Sciences, Human Movement and Sports Sciences, Nutrition & Dietetics, Clinical sciences, Nutrition and dietetics
Abstract

Background/objectivesLow intake of long chain polyunsaturated fatty acids (PUFAs) are associated with physical disability; however, prospective studies of circulating PUFAs are scarce. We examined associations between plasma phospholipid n-3 and n-6 PUFAs with risk of incident mobility disability and gait speed decline.Subjects/methodsData are from a subgroup of the Age, Gene/Environment Susceptibility-Reykjavik Study, a population-based study of risk factors for disease and disability in old age. In this subgroup (n = 556, mean age 75.1 ± 5.0 years, 47.5% men), plasma phospholipid PUFAs were assessed at baseline using gas chromatography. Mobility disability and usual gait speed were assessed at baseline and after 5.2 ± 0.2 years. Mobility disability was defined as the following: having much difficulty, or being unable to walk 500 m or climb up 10 steps; decline in gait speed was defined as change ⩾ 0.10 m/s. Logistic regression analyses were performed to determine associations between sex-specific s.d. increments in PUFAs with risk of incident mobility disability and gait speed decline. Odds ratios (95% confidence intervals) adjusted for demographics, follow-up time, risk factors and serum vitamin D were reported.ResultsIn women, but not men, every s.d. increment increase of total n-3 PUFAs and docosahexaenoic acid (DHA) was associated with lower mobility disability risk, odds ratio 0.48 (0.25; 0.93) and odds ratio 0.45 (0.24; 0.83), respectively. There was no association between n-6 PUFAs and the risk of incident mobility disability or gait speed decline.ConclusionsHigher concentrations of n-3 PUFAs and, particularly, DHA may protect women from impaired mobility but does not appear to have such an effect in men.

Published
2015

21. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949).

Author

Davies, G, Armstrong, N, Bis, JC, Bressler, J, Chouraki, V, Giddaluru, S, Hofer, E, Ibrahim-Verbaas, CA, Kirin, M, Lahti, J, van der Lee, SJ, Le Hellard, S, Liu, T, Marioni, RE, Oldmeadow, C, Postmus, I, Smith, AV, Smith, JA, Thalamuthu, A, Thomson, R, Vitart, V, Wang, J, Yu, L, Zgaga, L, Zhao, W, Boxall, R, Harris, SE, Hill, WD, Liewald, DC, Luciano, M, Adams, H, Ames, D, Amin, N, Amouyel, P, Assareh, AA, Au, R, Becker, JT, Beiser, A, Berr, C, Bertram, L, Boerwinkle, E, Buckley, BM, Campbell, H, Corley, J, De Jager, PL, Dufouil, C, Eriksson, JG, Espeseth, T, Faul, JD, Ford, I, Generation Scotland, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Heiss, G, Hofman, A, Holliday, EG, Huffman, J, Kardia, SLR, Kochan, N, Knopman, DS, Kwok, JB, Lambert, J-C, Lee, T, Li, G, Li, S-C, Loitfelder, M, Lopez, OL, Lundervold, AJ, Lundqvist, A, Mather, KA, Mirza, SS, Nyberg, L, Oostra, BA, Palotie, A, Papenberg, G, Pattie, A, Petrovic, K, Polasek, O, Psaty, BM, Redmond, P, Reppermund, S, Rotter, JI, Schmidt, H, Schuur, M, Schofield, PW, Scott, RJ, Steen, VM, Stott, DJ, van Swieten, JC, Taylor, KD, Trollor, J, Trompet, S, Uitterlinden, AG, Weinstein, G, Widen, E, Windham, BG, Jukema, JW, and Wright, AF

Subjects
Generation Scotland, Humans, Genetic Predisposition to Disease, HMGN1 Protein, Cohort Studies, Cognition, Cognition Disorders, Neuropsychological Tests, Phenotype, Polymorphism, Single Nucleotide, Aged, Aged, 80 and over, Middle Aged, Scotland, Female, Male, Atherosclerosis, Genome-Wide Association Study, and over, Polymorphism, Single Nucleotide, Psychiatry, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10(-9), MIR2113; rs17522122, P=2.55 × 10(-8), AKAP6; rs10119, P=5.67 × 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C.

Published
2015

22. Fat distribution and mortality: The AGES-Reykjavik study

Author

Lang, Thomas, Koster, A, Murphy, RA, Eiriksdottir, G, Aspelund, T, Sigurdsson, S, Lang, TF, Gudnason, V, Launer, LJ, and Harris, TB

Abstract

© 2015 The Obesity Society.Objective This study examined associations of regional fat depots with all-cause mortality over 11 years of follow-up. Methods Data were from 2,187 men and 2,900 women, aged 66-96 years in the AGES-Reykjavik Study. Abdominal visc

Published
2015

24. Drug–gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval

Author

Avery, CL, Sitlani, CM, Arking, DE, Arnett, DK, Bis, JC, Boerwinkle, E, Buckley, BM, Ida Chen, Y-D, de Craen, AJM, Eijgelsheim, M, Enquobahrie, D, Evans, DS, Ford, I, Garcia, ME, Gudnason, V, Harris, TB, Heckbert, SR, Hochner, H, Hofman, A, Hsueh, W-C, Isaacs, A, Jukema, JW, Knekt, P, Kors, JA, Krijthe, BP, Kristiansson, K, Laaksonen, M, Liu, Y, Li, X, MacFarlane, PW, Newton-Cheh, C, Nieminen, MS, Oostra, BA, Peloso, GM, Porthan, K, Rice, K, Rivadeneira, FF, Rotter, JI, Salomaa, V, Sattar, N, Siscovick, DS, Slagboom, PE, Smith, AV, Sotoodehnia, N, Stott, DJ, Stricker, BH, Stürmer, T, Trompet, S, Uitterlinden, AG, van Duijn, C, Westendorp, RGJ, Witteman, JC, Whitsel, EA, and Psaty, BM

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Human Genome, Genetics, Patient Safety, 5.1 Pharmaceuticals, Good Health and Well Being, Computer Simulation, Cross-Sectional Studies, Drug-Related Side Effects and Adverse Reactions, Electrocardiography, Gene-Environment Interaction, Genome-Wide Association Study, Humans, Linear Models, Long QT Syndrome, Markov Chains, Pharmacogenetics, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, White People, gene-environment interaction, genetic epidemiology, QT interval, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

Variability in response to drug use is common and heritable, suggesting that genome-wide pharmacogenomics studies may help explain the 'missing heritability' of complex traits. Here, we describe four independent analyses in 33 781 participants of European ancestry from 10 cohorts that were designed to identify genetic variants modifying the effects of drugs on QT interval duration (QT). Each analysis cross-sectionally examined four therapeutic classes: thiazide diuretics (prevalence of use=13.0%), tri/tetracyclic antidepressants (2.6%), sulfonylurea hypoglycemic agents (2.9%) and QT-prolonging drugs as classified by the University of Arizona Center for Education and Research on Therapeutics (4.4%). Drug-gene interactions were estimated using covariable-adjusted linear regression and results were combined with fixed-effects meta-analysis. Although drug-single-nucleotide polymorphism (SNP) interactions were biologically plausible and variables were well-measured, findings from the four cross-sectional meta-analyses were null (Pinteraction>5.0 × 10(-8)). Simulations suggested that additional efforts, including longitudinal modeling to increase statistical power, are likely needed to identify potentially important pharmacogenomic effects.

Published
2014

25. Effect of finite element model loading condition on fracture risk assessment in men and women: The AGES-Reykjavik study

Author

Keyak, JH, Sigurdsson, S, Karlsdottir, GS, Oskarsdottir, D, Sigmarsdottir, A, Kornak, J, Harris, TB, Sigurdsson, G, Jonsson, BY, Siggeirsdottir, K, Eiriksdottir, G, Gudnason, V, and Lang, TF

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Physical Injury - Accidents and Adverse Effects, Clinical Research, Aging, Prevention, Osteoporosis, 2.1 Biological and endogenous factors, Aetiology, Injuries and accidents, Musculoskeletal, Aged, Aged, 80 and over, Female, Finite Element Analysis, Fractures, Bone, Hip Fractures, Humans, Male, Prospective Studies, Radiography, Hip fracture, Femur, Bone strength, Finite element analysis, Quantitative computed tomography, F(L), F(P), F(PL), F(Stance), FE, L, P, PL, finite element, finite element analysis-computed proximal femoral strength for loading representing a fall onto the lateral aspect of the greater trochanter, finite element analysis-computed proximal femoral strength for loading representing a fall onto the posterior aspect of the greater trochanter, finite element analysis-computed proximal femoral strength for loading representing a fall onto the posterolateral aspect of the greater trochanter, finite element analysis-computed proximal femoral strength for loading similar to that during single-limb stance, lateral, posterior, posterolateral, Biological Sciences, Engineering, Medical and Health Sciences, Endocrinology & Metabolism, Clinical sciences
Abstract

Proximal femoral (hip) strength computed by subject-specific CT scan-based finite element (FE) models has been explored as an improved measure for identifying subjects at risk of hip fracture. However, to our knowledge, no published study has reported the effect of loading condition on the association between incident hip fracture and hip strength. In the present study, we performed a nested age- and sex-matched case-control study in the Age Gene/Environment Susceptibility (AGES) Reykjavik cohort. Baseline (pre-fracture) quantitative CT (QCT) scans of 5500 older male and female subjects were obtained. During 4-7years follow-up, 51 men and 77 women sustained hip fractures. Ninety-seven men and 152 women were randomly selected as controls from a pool of age- and sex-matched subjects. From the QCT data, FE models employing nonlinear material properties computed FE-strength of the left hip of each subject in loading from a fall onto the posterolateral (FPL), posterior (FP) and lateral (FL) aspects of the greater trochanter (patent pending). For comparison, FE strength in stance loading (FStance) and total femur areal bone mineral density (aBMD) were also computed. For all loading conditions, the reductions in strength associated with fracture in men were more than twice those in women (p≤0.01). For fall loading specifically, posterolateral loading in men and posterior loading in women were most strongly associated with incident hip fracture. After adjusting for aBMD, the association between FP and fracture in women fell short of statistical significance (p=0.08), indicating that FE strength provides little advantage over aBMD for identifying female hip fracture subjects. However, in men, after controlling for aBMD, FPL was 424N (11%) less in subjects with fractures than in controls (p=0.003). Thus, in men, FE models of posterolateral loading include information about incident hip fracture beyond that in aBMD.

Published
2013

27. New insights into the genetic etiology of Alzheimer's disease and related dementias

Author

Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., Holmans, P. A., Boland, A., Damotte, V., van der Lee, S. J., Costa, M. R., Kuulasmaa, T., Yang, Q., de Rojas, I., Bis, J. C., Yaqub, A., Prokic, I., Chapuis, J., Ahmad, S., Giedraitis, V., Aarsland, D., Garcia-Gonzalez, P., Abdelnour, C., Alarcón-Martín, E., Alcolea, D., Alegret, M., Alvarez, I., Álvarez, V., Armstrong, N. J., Tsolaki, A., Antúnez, C., Appollonio, I., Arcaro, M., Archetti, S., Pastor, A. A., Arosio, B., Athanasiu, L., Bailly, H., Banaj, N., Baquero, M., Barral, S., Beiser, A., Pastor, A. B., Below, J. E., Benchek, P., Benussi, L., Berr, C., Besse, C., Bessi, V., Binetti, G., Bizarro, A., Blesa, R., Boada, M., Boerwinkle, E., Borroni, B., Boschi, S., Bossù, P., Bråthen, G., Bressler, J., Bresner, C., Brodaty, H., Brookes, K. J., Brusco, L. I., Buiza-Rueda, D., Bûrger, K., Burholt, V., Bush, W. S., Calero, M., Cantwell, L. B., Chene, G., Chung, J., Cuccaro, M. L., Carracedo, Á., Cecchetti, R., Cervera-Carles, L., Charbonnier, C., Chen, H. -H., Chillotti, C., Ciccone, S., Claassen, J. A. H. R., Clark, C., Conti, E., Corma-Gómez, A., Costantini, E., Custodero, C., Daian, D., Dalmasso, M. C., Daniele, A., Dardiotis, E., Dartigues, J. -F., de Deyn, P. P., de Paiva Lopes, K., de Witte, L. D., Debette, S., Deckert, J., del Ser, T., Denning, N., Destefano, A., Dichgans, M., Diehl-Schmid, J., Diez-Fairen, M., Rossi, P. D., Djurovic, S., Duron, E., Düzel, E., Dufouil, C., Eiriksdottir, G., Engelborghs, S., Escott-Price, V., Espinosa, A., Ewers, M., Faber, K. M., Fabrizio, T., Nielsen, S. F., Fardo, D. W., Farotti, L., Fenoglio, C., Fernández-Fuertes, M., Ferrari, R., Ferreira, C. B., Ferri, E., Fin, B., Fischer, P., Fladby, T., Fließbach, K., Fongang, B., Fornage, M., Fortea, J., Foroud, T. M., Fostinelli, S., Fox, N. C., Franco-Macías, E., Bullido, M. J., Frank-García, A., Froelich, L., Fulton-Howard, B., Galimberti, D., García-Alberca, J. M., García-González, P., Garcia-Madrona, S., Garcia-Ribas, G., Ghidoni, R., Giegling, I., Giorgio, G., Goate, A. M., Goldhardt, O., Gomez-Fonseca, D., González-Pérez, A., Graff, C., Grande, G., Green, E., Grimmer, T., Grünblatt, E., Grunin, M., Gudnason, V., Guetta-Baranes, T., Haapasalo, A., Hadjigeorgiou, G., Haines, J. L., Hamilton-Nelson, K. L., Hampel, H., Hanon, O., Hardy, J., Hartmann, A. M., Hausner, L., Harwood, J., Heilmann-Heimbach, S., Helisalmi, S., Heneka, M. T., Hernández, I., Herrmann, M. J., Hoffmann, P., Holmes, C., Holstege, H., Vilas, R. H., Hulsman, M., Humphrey, J., Biessels, G. J., Jian, X., Johansson, C., Jun, G. R., Kastumata, Y., Kauwe, J., Kehoe, P. G., Kilander, L., Ståhlbom, A. K., Kivipelto, M., Koivisto, A., Kornhuber, J., Kosmidis, M. H., Kukull, W. A., Kuksa, P. P., Kunkle, B. W., Kuzma, A. B., Lage, C., Laukka, E. J., Launer, L., Lauria, A., Lee, C. -Y., Lehtisalo, J., Lerch, O., Lleó, A., Longstreth, W., Lopez, O., de Munain, A. L., Love, S., Löwemark, M., Luckcuck, L., Lunetta, K. L., Ma, Y., Macías, J., Macleod, C. A., Maier, W., Mangialasche, F., Spallazzi, M., Marquié, M., Marshall, R., Martin, E. R., Montes, A. M., Rodríguez, C. M., Masullo, C., Mayeux, R., Mead, S., Mecocci, P., Medina, M., Meggy, A., Mehrabian, S., Mendoza, S., Menéndez-González, M., Mir, P., Moebus, S., Mol, M., Molina-Porcel, L., Montrreal, L., Morelli, L., Moreno, F., Morgan, K., Mosley, T., Nöthen, M. M., Muchnik, C., Mukherjee, S., Nacmias, B., Ngandu, T., Nicolas, G., Nordestgaard, B. G., Olaso, R., Orellana, A., Orsini, M., Ortega, G., Padovani, A., Paolo, C., Papenberg, G., Parnetti, L., Pasquier, F., Pastor, P., Peloso, G., Pérez-Cordón, A., Pérez-Tur, J., Pericard, P., Peters, O., Pijnenburg, Y. A. L., Pineda, J. A., Piñol-Ripoll, G., Pisanu, C., Polak, T., Popp, J., Posthuma, D., Priller, J., Puerta, R., Quenez, O., Quintela, I., Thomassen, J. Q., Rábano, A., Rainero, I., Rajabli, F., Ramakers, I., Real, L. M., Reinders, M. J. T., Reitz, C., Reyes-Dumeyer, D., Ridge, P., Riedel-Heller, S., Riederer, P., Roberto, N., Rodriguez-Rodriguez, E., Rongve, A., Allende, I. R., Rosende-Roca, M., Royo, J. L., Rubino, E., Rujescu, D., Sáez, M. E., Sakka, P., Saltvedt, I., Sanabria, Á., Sánchez-Arjona, M. B., Sanchez-Garcia, F., Juan, P. S., Sánchez-Valle, R., Sando, S. B., Sarnowski, C., Satizabal, C. L., Scamosci, M., Scarmeas, N., Scarpini, E., Scheltens, P., Scherbaum, N., Scherer, M., Schmid, M., Schneider, A., Schott, J. M., Selbæk, G., Seripa, D., Serrano, M., Sha, J., Shadrin, A. A., Skrobot, O., Slifer, S., Snijders, G. J. L., Soininen, H., Solfrizzi, V., Solomon, A., Song, Y. E., Sorbi, S., Sotolongo-Grau, O., Spalletta, G., Spottke, A., Squassina, A., Stordal, E., Tartan, J. P., Tárraga, L., Tesí, N., Thalamuthu, A., Thomas, T., Tosto, G., Traykov, L., Tremolizzo, L., Tybjærg-Hansen, A., Uitterlinden, A., Ullgren, A., Ulstein, I., Valero, S., Valladares, O., Broeckhoven, C. V., Vance, J., Vardarajan, B. N., van der Lugt, A., Dongen, J. V., van Rooij, J., van Swieten, J., Vandenberghe, R., Verhey, F., Vidal, J. -S., Vogelgsang, J., Vyhnalek, M., Wagner, M., Wallon, D., Wang, L. -S., Wang, R., Weinhold, L., Wiltfang, J., Windle, G., Woods, B., Yannakoulia, M., Zare, H., Zhao, Y., Zhang, X., Zhu, C., Zulaica, M., Laczo, J., Matoska, V., Serpente, M., Assogna, F., Piras, F., Ciullo, V., Shofany, J., Ferrarese, C., Andreoni, S., Sala, G., Zoia, C. P., Zompo, M. D., Benussi, A., Bastiani, P., Takalo, M., Natunen, T., Laatikainen, T., Tuomilehto, J., Antikainen, R., Strandberg, T., Lindström, J., Peltonen, M., Abraham, R., Al-Chalabi, A., Bass, N. J., Brayne, C., Brown, K. S., Collinge, J., Craig, D., Deloukas, P., Fox, N., Gerrish, A., Gill, M., Gwilliam, R., Harold, D., Hollingworth, P., Johnston, J. A., Jones, L., Lawlor, B., Livingston, G., Lovestone, S., Lupton, M., Lynch, A., Mann, D., Mcguinness, B., Mcquillin, A., O’Donovan, M. C., Owen, M. J., Passmore, P., Powell, J. F., Proitsi, P., Rossor, M., Shaw, C. E., Smith, A. D., Gurling, H., Todd, S., Mummery, C., Ryan, N., Lacidogna, G., Adarmes-Gómez, A., Mauleón, A., Pancho, A., Gailhajenet, A., Lafuente, A., Macias-García, D., Martín, E., Pelejà, E., Carrillo, F., Merlín, I. S., Garrote-Espina, L., Vargas, L., Carrion-Claro, M., Marín, M., Labrador, M., Buendia, M., Alonso, M. D., Guitart, M., Moreno, M., Ibarria, M., Periñán, M., Aguilera, N., Gómez-Garre, P., Cañabate, P., Escuela, R., Pineda-Sánchez, R., Vigo-Ortega, R., Jesús, S., Preckler, S., Rodrigo-Herrero, S., Diego, S., Vacca, A., Roveta, F., Salvadori, N., Chipi, E., Boecker, H., Laske, C., Perneczky, R., Anastasiou, C., Janowitz, D., Malik, R., Anastasiou, A., Parveen, K., López-García, S., Antonell, A., Mihova, K. Y., Belezhanska, D., Weber, H., Kochen, S., Solis, P., Medel, N., Lisso, J., Sevillano, Z., Politis, D. G., Cores, V., Cuesta, C., Ortiz, C., Bacha, J. I., Rios, M., Saenz, A., Abalos, M. S., Kohler, E., Palacio, D. L., Etchepareborda, I., Kohler, M., Novack, G., Prestia, F. A., Galeano, P., Castaño, E. M., Germani, S., Toso, C. R., Rojo, M., Ingino, C., Mangone, C., Rubinsztein, D. C., Teipel, S., Fievet, N., Deramerourt, V., Forsell, C., Thonberg, H., Bjerke, M., Roeck, E. D., Martínez-Larrad, M. T., Olivar, N., Cano, A., Macias, J., Maroñas, O., Nuñez-Llaves, R., Olivé, C., Adarmes-Gómez, A. D., Amer-Ferrer, G., Antequera, M., Burguera, J. A., Casajeros, M. J., Martinez de Pancorbo, M., Hevilla, S., Espinosa, M. A. L., Legaz, A., Manzanares, S., Marín-Muñoz, J., Marín, T., Martínez, B., Martínez, V., Martínez-Lage Álvarez, P., Iriarte, M. M., Periñán-Tocino, M. T., Real de Asúa, D., Rodrigo, S., Sastre, I., Vicente, M. P., Vivancos, L., Epelbaum, J., Hannequin, D., Campion, D., Deramecourt, V., Tzourio, C., Brice, A., Dubois, B., Williams, A., Thomas, C., Davies, C., Nash, W., Dowzell, K., Morales, A. C., Bernardo-Harrington, M., Turton, J., Lord, J., Brown, K., Vardy, E., Fisher, E., Warren, J. D., Ryan, N. S., Guerreiro, R., Uphill, J., Bass, N., Heun, R., Kölsch, H., Schürmann, B., Lacour, A., Herold, C., Powell, J., Patel, Y., Hodges, A., Becker, T., Warden, D., Wilcock, G., Clarke, R., Ben-Shlomo, Y., Hooper, N. M., Pickering-Brown, S., Sussams, R., Warner, N., Bayer, A., Heuser, I., Drichel, D., Klopp, N., Mayhaus, M., Riemenschneider, M., Pinchler, S., Feulner, T., Gu, W., van den Bussche, H., Hüll, M., Frölich, L., Wichmann, H. -E., Jöckel, K. -H., O’Donovan, M., Owen, M., Bahrami, S., Bosnes, I., Selnes, P., Bergh, S., Palotie, A., Daly, M., Jacob, H., Matakidou, A., Runz, H., John, S., Plenge, R., Mccarthy, M., Hunkapiller, J., Ehm, M., Waterworth, D., Fox, C., Malarstig, A., Klinger, K., Call, K., Behrens, T., Loerch, P., Mäkelä, T., Kaprio, J., Virolainen, P., Pulkki, K., Kilpi, T., Perola, M., Partanen, J., Pitkäranta, A., Kaarteenaho, R., Vainio, S., Turpeinen, M., Serpi, R., Laitinen, T., Mäkelä, J., Kosma, V. -M., Kujala, U., Tuovila, O., Hendolin, M., Pakkanen, R., Waring, J., Riley-Gillis, B., Liu, J., Biswas, S., Diogo, D., Marshall, C., Hu, X., Gossel, M., Graham, R., Cummings, B., Ripatti, S., Schleutker, J., Arvas, M., Carpén, O., Hinttala, R., Kettunen, J., Mannermaa, A., Laukkanen, J., Julkunen, V., Remes, A., Kälviäinen, R., Peltola, J., Tienari, P., Rinne, J., Ziemann, A., Esmaeeli, S., Smaoui, N., Lehtonen, A., Eaton, S., Lahdenperä, S., van Adelsberg, J., Michon, J., Kerchner, G., Bowers, N., Teng, E., Eicher, J., Mehta, V., Gormley, P., Linden, K., Whelan, C., Xu, F., Pulford, D., Färkkilä, M., Pikkarainen, S., Jussila, A., Blomster, T., Kiviniemi, M., Voutilainen, M., Georgantas, B., Heap, G., Rahimov, F., Usiskin, K., Lu, T., Oh, D., Kalpala, K., Miller, M., Mccarthy, L., Eklund, K., Palomäki, A., Isomäki, P., Pirilä, L., Kaipiainen-Seppänen, O., Huhtakangas, J., Lertratanakul, A., Hochfeld, M., Bing, N., Gordillo, J. E., Mars, N., Pelkonen, M., Kauppi, P., Kankaanranta, H., Harju, T., Close, D., Greenberg, S., Chen, H., Betts, J., Ghosh, S., Salomaa, V., Niiranen, T., Juonala, M., Metsärinne, K., Kähönen, M., Junttila, J., Laakso, M., Pihlajamäki, J., Sinisalo, J., Taskinen, M. -R., Tuomi, T., Challis, B., Peterson, A., Chu, A., Parkkinen, J., Muslin, A., Joensuu, H., Meretoja, T., Aaltonen, L., Mattson, J., Auranen, A., Karihtala, P., Kauppila, S., Auvinen, P., Elenius, K., Popovic, R., Schutzman, J., Loboda, A., Chhibber, A., Lehtonen, H., Mcdonough, S., Crohns, M., Kulkarni, D., Kaarniranta, K., Turunen, J. A., Ollila, T., Seitsonen, S., Uusitalo, H., Aaltonen, V., Uusitalo-Järvinen, H., Luodonpää, M., Hautala, N., Loomis, S., Strauss, E., Podgornaia, A., Hoffman, J., Tasanen, K., Huilaja, L., Hannula-Jouppi, K., Salmi, T., Peltonen, S., Koulu, L., Harvima, I., Wu, Y., Choy, D., Pussinen, P., Salminen, A., Salo, T., Rice, D., Nieminen, P., Palotie, U., Siponen, M., Suominen, L., Mäntylä, P., Gursoy, U., Anttonen, V., Sipilä, K., Davis, J. W., Quarless, D., Petrovski, S., Wigmore, E., Chen, C. -Y., Bronson, P., Tsai, E., Huang, Y., Maranville, J., Shaikho, E., Mohammed, E., Wadhawan, S., Kvikstad, E., Caliskan, M., Chang, D., Bhangale, T., Pendergrass, S., Holzinger, E., Chen, X., Hedman, Å., King, K. S., Wang, C., Xu, E., Auge, F., Chatelain, C., Rajpal, D., Liu, D., Xia, T. -H., Brauer, M., Kurki, M., Karjalainen, J., Havulinna, A., Jalanko, A., Palta, P., della Briotta Parolo, P., Zhou, W., Lemmelä, S., Rivas, M., Harju, J., Lehisto, A., Ganna, A., Llorens, V., Laivuori, H., Rüeger, S., Niemi, M. E., Tukiainen, T., Reeve, M. P., Heyne, H., Palin, K., Garcia-Tabuenca, J., Siirtola, H., Kiiskinen, T., Lee, J., Tsuo, K., Elliott, A., Kristiansson, K., Hyvärinen, K., Ritari, J., Koskinen, M., Pylkäs, K., Kalaoja, M., Karjalainen, M., Mantere, T., Kangasniemi, E., Heikkinen, S., Laakkonen, E., Sipeky, C., Heron, S., Karlsson, A., Jambulingam, D., Rathinakannan, V. S., Kajanne, R., Aavikko, M., Jiménez, M. G., della Briotta Parola, P., Kanai, M., Kaunisto, M., Kilpeläinen, E., Sipilä, T. P., Brein, G., Awaisa, G., Shcherban, A., Donner, K., Loukola, A., Laiho, P., Sistonen, T., Kaiharju, E., Laukkanen, M., Järvensivu, E., Lähteenmäki, S., Männikkö, L., Wong, R., Mattsson, H., Hiekkalinna, T., Paajanen, T., Pärn, K., Gracia-Tabuenca, J., Abner, E., Adams, P. M., Aguirre, A., Albert, M. S., Albin, R. L., Allen, M., Alvarez, L., Apostolova, L. G., Arnold, S. E., Asthana, S., Atwood, C. S., Ayres, G., Baldwin, C. T., Barber, R. C., Barnes, L. L., Beach, T. G., Becker, J. T., Beecham, G. W., Beekly, D., Benitez, B. A., Bennett, D., Bertelson, J., Margaret, F. E., Bird, T. D., Blacker, D., Boeve, B. F., Bowen, J. D., Boxer, A., Brewer, J., Burke, J. R., Burns, J. M., Buxbaum, J. D., Cairns, N. J., Cao, C., Carlson, C. S., Carlsson, C. M., Carney, R. M., Carrasquillo, M. M., Chasse, S., Chesselet, M. -F., Chesi, A., Chin, N. A., Chui, H. C., Craft, S., Crane, P. K., Cribbs, D. H., Crocco, E. A., Cruchaga, C., Cullum, M., Darby, E., Davis, B., De Jager, P. L., Decarli, C., Detoledo, J., Dick, M., Dickson, D. W., Dombroski, B. A., Doody, R. S., Duara, R., Ertekin-Taner, N., Evans, D. A., Fairchild, T. J., Fallon, K. B., Farlow, M. R., Farrell, J. J., Fernandez-Hernandez, V., Ferris, S., Frosch, M. P., Galasko, D. R., Gamboa, A., Gearing, M., Geschwind, D. H., Ghetti, B., Gilbert, J. R., Grabowski, T. J., Graff-Radford, N. R., Grant, S. F. A., Green, R. C., Growdon, J. H., Hakonarson, H., Hall, J., Hamilton, R. L., Harari, O., Harrell, L. E., Haut, J., Head, E., Henderson, V. W., Hernandez, M., Hohman, T., Honig, L. S., Huebinger, R. M., Huentelman, M. J., Hulette, C. M., Hyman, B. T., Hynan, L. S., Ibanez, L., Jarvik, G. P., Jayadev, S., Jin, L. -W., Johnson, K., Johnson, L., Kamboh, M. I., Karydas, A. M., Katz, M. J., Kaye, J. A., Keene, C. D., Khaleeq, A., Kim, R., Knebl, J., Kowall, N. W., Kramer, J. H., Laferla, F. M., Lah, J. J., Larson, E. B., Lee, E. B., Lerner, A., Leung, Y. Y., Leverenz, J. B., Levey, A. I., Li, M., Lieberman, A. P., Lipton, R. B., Logue, M., Lyketsos, C. G., Malamon, J., Mains, D., Marson, D. C., Martiniuk, F., Mash, D. C., Masliah, E., Massman, P., Masurkar, A., Mccormick, W. C., Mccurry, S. M., Mcdavid, A. N., Mckee, A. C., Mesulam, M., Mez, J., Miller, B. L., Miller, C. A., Miller, J. W., Montine, T. J., Monuki, E. S., Morris, J. C., Myers, A. J., Nguyen, T., O’Bryant, S., Olichney, J. M., Ory, M., Palmer, R., Parisi, J. E., Paulson, H. L., Pavlik, V., Paydarfar, D., Perez, V., Peskind, E., Petersen, R. C., Phillips-Cremins, J. E., Pierce, A., Polk, M., Poon, W. W., Potter, H., Qu, L., Quiceno, M., Quinn, J. F., Raj, A., Raskind, M., Reiman, E. M., Reisberg, B., Reisch, J. S., Ringman, J. M., Roberson, E. D., Rodriguear, M., Rogaeva, E., Rosen, H. J., Rosenberg, R. N., Royall, D. R., Sager, M. A., Sano, M., Saykin, A. J., Schneider, J. A., Schneider, L. S., Seeley, W. W., Small, S., Smith, A. G., Smith, J. P., Sonnen, J. A., Spina, S., George-Hyslop, P. S., Stern, R. A., Stevens, A. B., Strittmatter, S. M., Sultzer, D., Swerdlow, R. H., Tanzi, R. E., Tilson, J. L., Trojanowski, J. Q., Troncoso, J. C., Tsuang, D. W., Van Deerlin, V. M., van Eldik, L. J., Vassar, R., Vinters, H. V., Vonsattel, J. -P., Weintraub, S., Welsh-Bohmer, K. A., Whitehead, P. L., Wijsman, E. M., Wilhelmsen, K. C., Williams, B., Williamson, J., Wilms, H., Wingo, T. S., Wisniewski, T., Woltjer, R. L., Woon, M., Wright, C. B., C. -K., Wu, Younkin, S. G., C. -E., Yu, Yu, L., Zhang, Y., Zhu, X., Adams, H., Akinyemi, R. O., Ali, M., Armstrong, N., Aparicio, H. J., Bahadori, M., Breteler, M., Chasman, D., Chauhan, G., Comic, H., Cox, S., Cupples, A. L., Davies, G., Decarli, C. S., Duperron, M. -G., Dupuis, J., Evans, T., Fan, F., Fitzpatrick, A., Fohner, A. E., Ganguli, M., Geerlings, M., Glatt, S. J., Gonzalez, H. M., Goss, M., Grabe, H., Habes, M., Heckbert, S. R., Hofer, E., Hong, E., Hughes, T., Kautz, T. F., Knol, M., Kremen, W., Lacaze, P., Lahti, J., Grand, Q. L., Litkowski, E., Li, S., Liu, X., Loitfelder, M., Manning, A., Maillard, P., Marioni, R., Mazoyer, B., van Lent, D. M., Mei, H., Mishra, A., Nyquist, P., O’Connell, J., Paus, T., Pausova, Z., Raikkonen-Talvitie, K., Riaz, M., Rich, S., Rotter, J., Romero, J., Roshchupkin, G., Saba, Y., Sargurupremraj, M., Schmidt, H., Schmidt, R., Shulman, J. M., Smith, J., Sekhar, H., Rajula, R., Shin, J., Simino, J., Sliz, E., Teumer, A., Thomas, A., Tin, A., Tucker-Drob, E., Vojinovic, D., Wang, Y., Weinstein, G., Williams, D., Wittfeld, K., Yanek, L., Yang, Y., Farrer, L. A., Psaty, B. M., Ghanbari, M., Raj, T., Sachdev, P., Mather, K., Jessen, F., Ikram, M. A., de Mendonça, A., Hort, J., Tsolaki, M., Pericak-Vance, M. A., Amouyel, P., Williams, J., Frikke-Schmidt, R., Clarimon, J., Deleuze, J. -F., Rossi, G., Seshadri, S., Andreassen, O. A., Ingelsson, M., Hiltunen, M., Sleegers, K., Schellenberg, G. D., van Duijn, C. M., Sims, R., van der Flier, W. M., Ruiz, A., Ramirez, A., Lambert J., -C, Jan, Laczo, Vaclav, Matoska, Maria, Serpente, Francesca, Assogna, Fabrizio, Piras, Federica, Piras, Valentina, Ciullo, Jacob, Shofany, Carlo, Ferrarese, Simona, Andreoni, Gessica, Sala, Chiara Paola Zoia, Maria Del Zompo, Benussi, Alberto, Patrizia, Bastiani, Mari, Takalo, Teemu, Natunen, Tiina, Laatikainen, Jaakko, Tuomilehto, Riitta, Antikainen, Timo, Strandberg, Jaana, Lindström, Markku, Peltonen, Richard, Abraham, Ammar, Al-Chalabi, Nicholas, J Bass, Carol, Brayne, Kristelle, S Brown, John, Collinge, David, Craig, Pangiotis, Deloukas, Nick, Fox, Amy, Gerrish, Michael, Gill, Rhian, Gwilliam, Denise, Harold, Paul, Hollingworth, Jarret, A Johnston, Lesley, Jones, Brian, Lawlor, Gill, Livingston, Simon, Lovestone, Michelle, Lupton, Aoibhinn, Lynch, David, Mann, Bernadette, Mcguinness, Andrew, Mcquillin, Michael, C O'Donovan, Michael, J Owen, Peter, Passmore, John, F Powell, Petra, Proitsi, Martin, Rossor, Christopher, E Shaw, A David Smith, 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Uitterlinden, A, Ullgren, A, Ulstein, I, Valero, S, Valladares, O, Broeckhoven, C, Vance, J, Vardarajan, B, van der Lugt, A, Dongen, J, van Rooij, J, van Swieten, J, Vandenberghe, R, Verhey, F, Vidal, J, Vogelgsang, J, Vyhnalek, M, Wagner, M, Wallon, D, Wang, L, Wang, R, Weinhold, L, Wiltfang, J, Windle, G, Woods, B, Yannakoulia, M, Zare, H, Zhao, Y, Zhang, X, Zhu, C, Zulaica, M, Andreoni, S, Ferrarese, C, Sala, G, Zoia, C, Farrer, L, Psaty, B, Ghanbari, M, Raj, T, Sachdev, P, Mather, K, Jessen, F, Ikram, M, de Mendonça, A, Hort, J, Tsolaki, M, Pericak-Vance, M, Amouyel, P, Williams, J, Frikke-Schmidt, R, Clarimon, J, Deleuze, J, Rossi, G, Seshadri, S, Andreassen, O, Ingelsson, M, Hiltunen, M, Sleegers, K, Schellenberg, G, van Duijn, C, Sims, R, van der Flier, W, Ruiz, A, Ramirez, A, Lambert, J, VU University medical center, Amsterdam Neuroscience - Neurodegeneration, Neurology, Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, APH - Personalized Medicine, APH - Methodology, Bellenguez, Céline [0000-0002-1240-7874], Küçükali, Fahri [0000-0002-3835-9639], Amin, Najaf [0000-0002-8944-1771], Holmans, Peter A [0000-0003-0870-9412], van der Lee, Sven J [0000-0003-1606-8643], Costa, Marcos R [0000-0002-4928-2163], Kuulasmaa, Teemu [0000-0002-1795-7314], Yang, Qiong [0000-0002-3658-1375], de Rojas, Itziar [0000-0002-2148-381X], Bis, Joshua C [0000-0002-3409-1110], Yaqub, Amber [0000-0002-3579-8054], Prokic, Ivana [0000-0002-0370-1473], Chapuis, Julien [0000-0002-5802-2857], Ahmad, Shahzad [0000-0002-8658-3790], Giedraitis, Vilmantas [0000-0003-3423-2021], Garcia-Gonzalez, Pablo [0000-0003-0125-5403], Alcolea, Daniel [0000-0002-3819-3245], Alvarez, Ignacio [0000-0002-8537-3935], Tsolaki, Anthoula [0000-0002-5563-7776], Baquero, Miquel [0000-0002-6861-1831], Pastor, Ana Belén [0000-0001-9637-4688], Berr, Claudine [0000-0001-5254-7655], Bessi, Valentina [0000-0002-6176-3584], Boada, Mercè [0000-0003-2617-3009], Bossù, Paola [0000-0002-1432-0078], Bråthen, Geir [0000-0003-3224-7983], Bressler, Jan [0000-0001-6578-4772], Bresner, Catherine [0000-0003-2673-9762], Brodaty, Henry [0000-0001-9487-6617], Brookes, Keeley J [0000-0003-2427-2513], Burholt, Vanessa [0000-0002-6789-127X], Bush, William S [0000-0002-9729-6519], Calero, Miguel [0000-0001-5366-3324], Chung, Jaeyoon [0000-0002-6431-9454], Cervera-Carles, Laura [0000-0003-2286-200X], Costantini, Emanuele [0000-0002-1096-8221], Dalmasso, Maria Carolina [0000-0002-4901-9955], de Paiva Lopes, Katia [0000-0002-0240-0126], de Witte, Lot D [0000-0002-7235-9958], Debette, Stéphanie [0000-0001-8675-7968], Del Ser, Teodoro [0000-0001-9806-7083], Dichgans, Martin [0000-0002-0654-387X], Diehl-Schmid, Janine [0000-0002-7745-1382], Diez-Fairen, Mónica [0000-0003-1882-0309], Djurovic, Srdjan [0000-0002-8140-8061], Dufouil, Carole [0000-0003-2442-4476], Escott-Price, Valentina [0000-0003-1784-5483], Ewers, Michael [0000-0001-5231-1714], Fabrizio, Tagliavini [0000-0003-1039-7315], Fladby, Tormod [0000-0002-9984-9797], Fornage, Myriam [0000-0003-0677-8158], Fox, Nick C [0000-0002-6660-657X], Bullido, María J [0000-0002-6477-1117], Froelich, Lutz [0000-0003-1494-0813], Galimberti, Daniela [0000-0002-9284-5953], García-Alberca, Jose Maria [0000-0003-2951-6644], Goate, Alison M [0000-0002-0576-2472], González-Pérez, Antonio [0000-0001-9771-5982], Green, Emma [0000-0002-8687-5590], Grünblatt, Edna [0000-0001-8505-7265], Gudnason, Vilmundur [0000-0001-5696-0084], Haapasalo, Annakaisa [0000-0003-0959-2957], Harwood, Janet [0000-0002-3225-0069], Heilmann-Heimbach, Stefanie [0000-0003-1057-465X], Herrmann, Martin J [0000-0001-9970-2122], Holstege, Henne [0000-0002-7688-3087], Biessels, Geert Jan [0000-0001-6862-2496], Jian, Xueqiu [0000-0002-0313-6494], Johansson, Charlotte [0000-0002-5351-1950], Jun, Gyungah R [0000-0002-3230-8697], Kastumata, Yuriko [0000-0002-0188-8094], Kehoe, Patrick G [0000-0002-7542-1139], Kornhuber, Johannes [0000-0002-8096-3987], Kosmidis, Mary H [0000-0001-8790-1220], Lage, Carmen [0000-0003-1703-121X], Launer, Lenore [0000-0002-3238-7612], Lee, Chien-Yueh [0000-0002-4304-974X], Lleó, Alberto [0000-0002-2568-5478], Lopez, Oscar [0000-0002-8546-8256], de Munain, Adolfo Lopez [0000-0002-9509-4032], Lunetta, Kathryn L [0000-0002-9268-810X], Ma, Yiyi [0000-0002-3609-8877], MacLeod, Catherine A [0000-0002-9314-7380], Marquié, Marta [0000-0002-0660-0950], Montes, Angel Martín [0000-0002-1694-786X], Mead, Simon [0000-0002-4326-1468], Medina, Miguel [0000-0002-7016-5340], Menéndez-González, Manuel [0000-0002-5218-0774], Mol, Merel [0000-0003-2533-2530], Morgan, Kevin [0000-0002-8217-2396], Nöthen, Markus M [0000-0002-8770-2464], Muchnik, Carolina [0000-0002-1542-3706], Nacmias, Benedetta [0000-0001-9338-9040], Nicolas, Gael [0000-0001-9391-7800], Nordestgaard, Børge G [0000-0002-1954-7220], Pasquier, Florence [0000-0001-9880-9788], Pastor, Pau [0000-0002-7493-8777], Peloso, Gina [0000-0002-5355-8636], Pérez-Cordón, Alba [0000-0002-6028-0791], Pérez-Tur, Jordi [0000-0002-9111-1712], Pericard, Pierre [0000-0001-8167-6448], Pineda, Juan A [0000-0002-3751-0296], Pisanu, Claudia [0000-0002-9151-4319], Posthuma, Danielle [0000-0001-7582-2365], Puerta, Raquel [0000-0002-1191-5893], Quenez, Olivier [0000-0002-8273-8505], Thomassen, Jesper Qvist [0000-0003-3484-9531], Real, Luis M [0000-0003-4932-7429], Reinders, Marcel JT [0000-0002-1148-1562], Reitz, Christiane [0000-0001-8757-7889], Riedel-Heller, Steffi [0000-0003-4321-6090], Rodriguez-Rodriguez, Eloy [0000-0001-7742-677X], Rongve, Arvid [0000-0002-0476-4134], Sáez, María Eugenia [0000-0001-9299-2534], Saltvedt, Ingvild [0000-0002-7897-9808], Juan, Pascual Sánchez [0000-0002-6081-8037], Sarnowski, Chloé [0000-0002-6090-7099], Satizabal, Claudia L [0000-0002-1115-4430], Schott, Jonathan M [0000-0003-2059-024X], Selbæk, Geir [0000-0001-6511-8219], Shadrin, Alexey A [0000-0002-7467-250X], Soininen, Hilkka [0000-0002-2785-9937], Solfrizzi, Vincenzo [0000-0002-8524-0315], Song, Yeunjoo [0000-0002-7452-3731], Sotolongo-Grau, Oscar [0000-0002-9679-0670], Spalletta, Gianfranco [0000-0002-7432-4249], Squassina, Alessio [0000-0001-7415-7607], Stordal, Eystein [0000-0002-2443-7923], Tosto, Giuseppe [0000-0001-7075-8245], Uitterlinden, Andre [0000-0002-7276-3387], Valladares, Otto [0000-0001-8055-2187], Broeckhoven, Christine Van [0000-0003-0183-7665], Vidal, Jean-Sébastien [0000-0001-6770-0720], Vogelgsang, Jonathan [0000-0001-9326-8193], Wagner, Michael [0000-0003-2589-6440], Wallon, David [0000-0002-2634-7198], Wiltfang, Jens [0000-0003-1492-5330], Woods, Bob [0000-0002-6781-651X], Yannakoulia, Mary [0000-0003-2171-7337], Zare, Habil [0000-0001-5902-6238], Zhang, Xiaoling [0000-0001-8237-1857], Farrer, Lindsay A [0000-0001-5533-4225], Psaty, Bruce M [0000-0002-7278-2190], Ghanbari, Mohsen [0000-0002-9476-7143], Raj, Towfique [0000-0002-9355-5704], Sachdev, Perminder [0000-0002-9595-3220], Mather, Karen [0000-0003-4143-8941], Ikram, M Arfan [0000-0003-0372-8585], Tsolaki, Magda [0000-0002-2072-8010], Pericak-Vance, Margaret A [0000-0001-7283-8804], Amouyel, Philippe [0000-0001-9088-234X], Williams, Julie [0000-0002-4069-0259], Frikke-Schmidt, Ruth [0000-0003-4084-5027], Seshadri, Sudha [0000-0001-6135-2622], Andreassen, Ole A [0000-0002-4461-3568], Sleegers, Kristel [0000-0002-0283-2332], van Duijn, Cornelia M [0000-0002-2374-9204], Sims, Rebecca [0000-0002-3885-1199], van der Flier, Wiesje M [0000-0001-8766-6224], Ramirez, Alfredo [0000-0003-4991-763X], Lambert, Jean-Charles [0000-0003-0829-7817], Apollo - University of Cambridge Repository, Complex Trait Genetics, Clinical sciences, Neuroprotection & Neuromodulation, Pathologic Biochemistry and Physiology, Clinical Biology, Epidemiology, Internal Medicine, Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, MUMC+: MA Med Staf Spec Psychiatrie (9), UAM. Departamento de Biología Molecular, University of Helsinki, Department of Neurosciences, HUS Internal Medicine and Rehabilitation, Timo Strandberg / Principal Investigator, Department of Medicine, Clinicum, HUS Neurocenter, Neurologian yksikkö, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institut Pasteur, Institut National de la Santé et de la Recherche Médicale (France), European Commission, LabEx DISTALZ, Pérez-Tur, Jordi, University Children’s Hospital Basel (Suiza), INSERM (Francia), Lille Métropole Communauté Urbaine, Government of France (Francia), EADB, GR@ACE, DEGESCO, EADI, GERAD, Demgene, FinnGen, ADGC, CHARGE, Holmans, Peter A. [0000-0003-0870-9412], van der Lee, Sven J. [0000-0003-1606-8643], Costa, Marcos R. [0000-0002-4928-2163], Bis, Joshua C. [0000-0002-3409-1110], Brookes, Keeley J. [0000-0003-2427-2513], Bush, William S. [0000-0002-9729-6519], de Witte, Lot D. [0000-0002-7235-9958], del Ser, Teodoro [0000-0001-9806-7083], Fox, Nick C. [0000-0002-6660-657X], Bullido, María J. [0000-0002-6477-1117], Goate, Alison M. [0000-0002-0576-2472], Herrmann, Martin J. [0000-0001-9970-2122], Jun, Gyungah R. [0000-0002-3230-8697], Kehoe, Patrick G. [0000-0002-7542-1139], Kosmidis, Mary H. [0000-0001-8790-1220], Lunetta, Kathryn L. [0000-0002-9268-810X], MacLeod, Catherine A. [0000-0002-9314-7380], Nöthen, Markus M. [0000-0002-8770-2464], Nordestgaard, Børge G. [0000-0002-1954-7220], Pineda, Juan A. [0000-0002-3751-0296], Real, Luis M. [0000-0003-4932-7429], Reinders, Marcel J. T. [0000-0002-1148-1562], Satizabal, Claudia L. [0000-0002-1115-4430], Schott, Jonathan M. [0000-0003-2059-024X], Shadrin, Alexey A. [0000-0002-7467-250X], Farrer, Lindsay A. [0000-0001-5533-4225], Psaty, Bruce M. [0000-0002-7278-2190], Ikram, M. Arfan [0000-0003-0372-8585], Pericak-Vance, Margaret A. [0000-0001-7283-8804], Andreassen, Ole A. [0000-0002-4461-3568], van Duijn, Cornelia M. [0000-0002-2374-9204], van der Flier, Wiesje M. [0000-0001-8766-6224], and Molecular Neuroscience and Ageing Research (MOLAR)

Subjects
tau Proteins/genetics, Alzheimer`s disease Donders Center for Medical Neuroscience [Radboudumc 1], Neurologi, MED/03 - GENETICA MEDICA, 45/43, Medizin, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], genetics [Alzheimer Disease], Genome-Wide Association Study, Humans, tau Proteins, Alzheimer Disease, Cognitive Dysfunction, VARIANTS, pathology [Alzheimer Disease], Tau Proteins, Settore BIO/13 - Biologia Applicata, Cognitive Dysfunction/psychology, 692/699/375/365/1283, IMPUTATION, article, 1184 Genetics, developmental biology, physiology, Biología y Biomedicina / Biología, AMYLOID-BETA, Settore MED/26 - NEUROLOGIA, Neurology, psychology [Cognitive Dysfunction], Medical Genetics, Human, Neuroscience(all), 631/208/205/2138, All institutes and research themes of the Radboud University Medical Center, SDG 3 - Good Health and Well-being, ddc:570, Genetics, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, METAANALYSIS, Medicinsk genetik, MED/26 - NEUROLOGIA, Alzheimer Disease/genetics, neurology, tau Protein, NECROSIS-FACTOR-ALPHA, RISK LOCI, genetics [tau Proteins], PREDICTION MODELS, Human medicine, GENERATION, RESPONSES
Abstract

25 páginas, 6 figuras, 2 tablas, Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele., This work was funded by a grant (EADB) from the EU Joint Programme – Neurodegenerative Disease Research. INSERM UMR1167 is also funded by the INSERM, Institut Pasteur de Lille, Lille Métropole Communauté Urbaine and French government’s LABEX DISTALZ program (development of innovative strategies for a transdisciplinary approach to AD). Full consortium acknowledgements and funding are in the Supplementary Not

Published
2022
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28. Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX

Author

Kanis, J.A., Johansson, H., McCloskey, E.V., Liu, E., Åkesson, K.E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, C., Bischoff-Ferrari, H.A., Biver, E., Bruyère, O., Cauley, J.A., Center, J.R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C.J., Cummings, S.R., da Silva, J.A.P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A.B., Eisman, J.A., Elders, P.J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R.J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, S., Kiel, D.P., Koh, W.-P., Koromani, F., Kotowicz, M.A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, A., Nordström, P., O’Neill, T.W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schott, A.-M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., van Schoor, N.M., van Staa, T.P., Vila, J., Wareham, N.J., Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Vandenput, L., Harvey, N.C., Lorentzon, M., Leslie, W.D., Kanis, J.A., Johansson, H., McCloskey, E.V., Liu, E., Åkesson, K.E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, C., Bischoff-Ferrari, H.A., Biver, E., Bruyère, O., Cauley, J.A., Center, J.R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C.J., Cummings, S.R., da Silva, J.A.P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A.B., Eisman, J.A., Elders, P.J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R.J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, S., Kiel, D.P., Koh, W.-P., Koromani, F., Kotowicz, M.A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, A., Nordström, P., O’Neill, T.W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schott, A.-M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., van Schoor, N.M., van Staa, T.P., Vila, J., Wareham, N.J., Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Vandenput, L., Harvey, N.C., Lorentzon, M., and Leslie, W.D.

Published
2023
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29. Late-life depression, allostatic load, and risk of dementia: The AGES-Reykjavik study

Author

Twait, E.L., Basten, M., Gerritsen, L., Gudnason, V., Launer, L.J., Geerlings, M.I., Twait, E.L., Basten, M., Gerritsen, L., Gudnason, V., Launer, L.J., and Geerlings, M.I.

Abstract

BACKGROUND: The current study aimed to assess if the relation between depression and dementia could be explained by allostatic load (AL) profiles, as well as assessing their risk on incident all-cause dementia, Alzheimer's disease (AD), and non-AD dementias.METHODS: The study included individuals without dementia at baseline from the population-based AGES-Reykjavik Study. Depressive symptoms assessed with the Geriatric Depression Scale-15 and AL markers were collected at baseline. Latent profile analysis (LPA) was performed on the AL markers. Incident dementia was measured during 12-years of follow-up. Cox regressions adjusted for AL profiles were performed to evaluate if AL could explain the relation between depressive symptoms and incident dementia. Additional Cox regressions exploring the interaction with depressive symptoms and AL profiles were also performed.RESULTS: LPA revealed four profiles based on AL factors: 'Low cardiovascular dysregulation' (43 %), 'Average' (42 % prevalence), 'High cardiovascular dysregulation' (11 %), and 'Multisystem dysregulation' (4 %). Cox regression analyses found an increased risk for dementia in the 'Multisystem dysregulation' group (HR 1.72; 95 % CI 1.26-2.33), as well as for AD (HR 1.75; 95 % CI: 1.12-2.71) and non-AD dementias (HR 1.87; 95 % CI: 1.23-2.84). AL profiles did not mediate the risk of all-cause dementia with depressive symptoms; however, there was evidence of additive interaction with depressive symptoms and the 'Multisystem dysregulation' profile and all-cause dementia (RERI 0.15; 95 % CI 0.03-0.26).CONCLUSION: AL profiles and depressive symptoms were independently related to dementia. Individuals with multisystem dysregulation could be more susceptible to the negative effects of depressive symptomology on incident dementia.

Published
2023

30. Genetic insights into resting heart rate and its role in cardiovascular disease.

Author

Vegte, Y.J. van de, Eppinga, R.N., Ende, M.Y. van der, Hagemeijer, Y.P., Mahendran, Y., Salfati, E., Smith, A.V., Tan, V.Y., Arking, D.E., Ntalla, I., Appel, E.V., Schurmann, C., Brody, J.A., Rueedi, R., Polasek, O., Sveinbjornsson, G., Lecoeur, C., Ladenvall, C., Zhao, J.H., Isaacs, A., Wang, L., Luan, Jian'an, Hwang, S.J., Mononen, N., Auro, K., Jackson, A.U., Bielak, L.F., Zeng, L., Shah, N., Nethander, M., Campbell, A., Rankinen, T., Pechlivanis, S., Qi, L., Zhao, Wei, Rizzi, F., Tanaka, T., Robino, A., Cocca, M., Lange, L., Müller-Nurasyid, M., Roselli, C., Zhang, W, Kleber, M.E., Guo, X., Lin, H.J., Pavani, F., Galesloot, T.E., Noordam, R., Milaneschi, Y., Schraut, K.E., Hoed, M. den, Degenhardt, F., Trompet, S., Berg, M.E. van den, Pistis, G., Tham, Y.C., Weiss, S., Sim, X.S., Li, H.L., Most, P.J. van der, Nolte, I.M., Lyytikäinen, L.P., Said, M.A., Witte, D.R., Iribarren, C., Launer, L., Ring, S.M., Vries, P.S. de, Sever, P., Linneberg, A., Bottinger, E.P., Padmanabhan, S., Psaty, B.M., Sotoodehnia, N., Kolcic, I., Arnar, D.O., Gudbjartsson, D.F., Holm, H., Balkau, B., Silva, C.T., Newton-Cheh, C.H., Nikus, K., Salo, P., Mohlke, K.L., Peyser, P.A., Schunkert, H., Lorentzon, M., Lahti, J., Rao, D.C., Cornelis, M.C., Faul, J.D., Smith, J.A., Stolarz-Skrzypek, K., Bandinelli, S., Concas, M.P., Sinagra, G., Meitinger, T., Waldenberger, M., Sinner, M.F., Strauch, K., Delgado, G.E., Taylor, K.D., Yao, J., Foco, L., Melander, O., Graaf, J. de, Mutsert, R. de, Geus, E.J.C. de, Johansson, Å., Joshi, P.K., Lind, L., Franke, A., Macfarlane, P.W., Tarasov, K.V., Tan, N., Felix, S.B., Tai, E.S., Quek, D.Q., Snieder, H., Ormel, J., Ingelsson, M., Lindgren, C., Morris, A.P., Raitakari, O.T., Hansen, T., Assimes, T., Gudnason, V., Timpson, N.J., Morrison, A.C., Munroe, P.B., Strachan, D.P., Grarup, N., Loos, R.J.F., Heckbert, S.R., Vollenweider, P., Hayward, C., Stefansson, K., Froguel, P., Groop, L., Wareham, N.J., Duijn, C.M. van, Feitosa, M.F., O'Donnell, C.J., Kähönen, M., Perola, M., Boehnke, M., Kardia, S.L.R., Erdmann, J., Palmer, C.N.A., Ohlsson, C., Porteous, D.J., Eriksson, J.G., Bouchard, C., Moebus, S., Kraft, P., Weir, D.R., Cusi, D., Ferrucci, L., Ulivi, S., Girotto, G., Correa, A., Kääb, S., Peters, A., Chambers, J.C., Kooner, J.S., März, W., Rotter, J.I., Hicks, A.A., Smith, J.G., Kiemeney, L.A.L.M., Mook-Kanamori, D.O., Penninx, B.W.J.H., Gyllensten, U., Wilson, J.F., Burgess, S., Sundström, J., Lieb, W., Jukema, J.W., Eijgelsheim, M., Lakatta, E.L.M., Cheng, C.Y., Dörr, M., Wong, T.Y., Sabanayagam, C., Oldehinkel, A.J., Riese, H., Lehtimäki, T., Verweij, N., Harst, P. van der, Vegte, Y.J. van de, Eppinga, R.N., Ende, M.Y. van der, Hagemeijer, Y.P., Mahendran, Y., Salfati, E., Smith, A.V., Tan, V.Y., Arking, D.E., Ntalla, I., Appel, E.V., Schurmann, C., Brody, J.A., Rueedi, R., Polasek, O., Sveinbjornsson, G., Lecoeur, C., Ladenvall, C., Zhao, J.H., Isaacs, A., Wang, L., Luan, Jian'an, Hwang, S.J., Mononen, N., Auro, K., Jackson, A.U., Bielak, L.F., Zeng, L., Shah, N., Nethander, M., Campbell, A., Rankinen, T., Pechlivanis, S., Qi, L., Zhao, Wei, Rizzi, F., Tanaka, T., Robino, A., Cocca, M., Lange, L., Müller-Nurasyid, M., Roselli, C., Zhang, W, Kleber, M.E., Guo, X., Lin, H.J., Pavani, F., Galesloot, T.E., Noordam, R., Milaneschi, Y., Schraut, K.E., Hoed, M. den, Degenhardt, F., Trompet, S., Berg, M.E. van den, Pistis, G., Tham, Y.C., Weiss, S., Sim, X.S., Li, H.L., Most, P.J. van der, Nolte, I.M., Lyytikäinen, L.P., Said, M.A., Witte, D.R., Iribarren, C., Launer, L., Ring, S.M., Vries, P.S. de, Sever, P., Linneberg, A., Bottinger, E.P., Padmanabhan, S., Psaty, B.M., Sotoodehnia, N., Kolcic, I., Arnar, D.O., Gudbjartsson, D.F., Holm, H., Balkau, B., Silva, C.T., Newton-Cheh, C.H., Nikus, K., Salo, P., Mohlke, K.L., Peyser, P.A., Schunkert, H., Lorentzon, M., Lahti, J., Rao, D.C., Cornelis, M.C., Faul, J.D., Smith, J.A., Stolarz-Skrzypek, K., Bandinelli, S., Concas, M.P., Sinagra, G., Meitinger, T., Waldenberger, M., Sinner, M.F., Strauch, K., Delgado, G.E., Taylor, K.D., Yao, J., Foco, L., Melander, O., Graaf, J. de, Mutsert, R. de, Geus, E.J.C. de, Johansson, Å., Joshi, P.K., Lind, L., Franke, A., Macfarlane, P.W., Tarasov, K.V., Tan, N., Felix, S.B., Tai, E.S., Quek, D.Q., Snieder, H., Ormel, J., Ingelsson, M., Lindgren, C., Morris, A.P., Raitakari, O.T., Hansen, T., Assimes, T., Gudnason, V., Timpson, N.J., Morrison, A.C., Munroe, P.B., Strachan, D.P., Grarup, N., Loos, R.J.F., Heckbert, S.R., Vollenweider, P., Hayward, C., Stefansson, K., Froguel, P., Groop, L., Wareham, N.J., Duijn, C.M. van, Feitosa, M.F., O'Donnell, C.J., Kähönen, M., Perola, M., Boehnke, M., Kardia, S.L.R., Erdmann, J., Palmer, C.N.A., Ohlsson, C., Porteous, D.J., Eriksson, J.G., Bouchard, C., Moebus, S., Kraft, P., Weir, D.R., Cusi, D., Ferrucci, L., Ulivi, S., Girotto, G., Correa, A., Kääb, S., Peters, A., Chambers, J.C., Kooner, J.S., März, W., Rotter, J.I., Hicks, A.A., Smith, J.G., Kiemeney, L.A.L.M., Mook-Kanamori, D.O., Penninx, B.W.J.H., Gyllensten, U., Wilson, J.F., Burgess, S., Sundström, J., Lieb, W., Jukema, J.W., Eijgelsheim, M., Lakatta, E.L.M., Cheng, C.Y., Dörr, M., Wong, T.Y., Sabanayagam, C., Oldehinkel, A.J., Riese, H., Lehtimäki, T., Verweij, N., and Harst, P. van der

Abstract

Contains fulltext : 296013.pdf (Publisher’s version ) (Open Access), Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.

Published
2023

34. Update of the fracture risk prediction tool FRAX: A systematic review of potential cohorts and analysis plan

Author

Vandenput, Lisbeth, Johansson, H., McCloskey, E. V., Liu, E., Akesson, Kristina E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, Charlotte, Bischoff-Ferrari, H.A., Biver, E., Bruyère, Olivier, Cauley, J.A., Center, J.R., Chapulat, R., Christiansen, C., Cooper, Cyrus, Crandall, Carolyn J., Cummings, Steven, da Silva, J.A.P., Dawson-Hughes, Bess, Diez-Pérez, A., Dufour, Alyssa B., Eisman, J.A., Elders, Petra J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.C., Goldstein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, Rosemary J., Huisman, Martijn, Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, Sundeep, Kiel, D.P., Koh, W-P, Koromani, F., Kotowicz, M.A., Kroger, H., Kwok, T., Lamy, Olivier, Langhammer, Arnulf, Larijani, Bagher, Lippuner, Kurt, Mellström, D, Merlijn, Thomas, Nordstrom, A., Nordstrom, P., O'Neill, T.W., Obermayer-Piestch, B., Harvey, Nicholas, Kanis, J A., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schei, B., Schott, A.M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., Van Schoor, N.M., van Staa, T.P., Vilas, J.C., Wareham, N.J, Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Lorentzon, M., and Leslie, W.D.

Abstract

Summary: We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. Introduction: The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. Methods: A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. Results: Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. Conclusions: These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).

Published
2022

35. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses

Author

Gaziano, L, Sun, L, Arnold, M, Bell, S, Cho, K, Kaptoge, SK, Song, RJ, Burgess, S, Posner, DC, Mosconi, K, Robinson-Cohen, C, Mason, AM, Bolton, TR, Tao, R, Allara, E, Schubert, P, Chen, L, Staley, JR, Staplin, N, Altay, S, Amiano, P, Arndt, V, Ärnlöv, J, Barr, ELM, Björkelund, C, Boer, JMA, Brenner, H, Casiglia, E, Chiodini, P, Cooper, JA, Coresh, J, Cushman, M, Dankner, R, Davidson, KW, De Jongh, RT, Donfrancesco, C, Engström, G, Freisling, H, De La Cámara, AG, Gudnason, V, Hankey, GJ, Hansson, PO, Heath, AK, Hoorn, EJ, Imano, H, Jassal, SK, Kaaks, R, Katzke, V, Kauhanen, J, Kiechl, S, Koenig, W, Kronmal, RA, Kyrø, C, Lawlor, DA, Ljungberg, B, MacDonald, C, Masala, G, Meisinger, C, Melander, O, Moreno Iribas, C, Ninomiya, T, Nitsch, D, Nordestgaard, BG, Onland-Moret, C, Palmieri, L, Petrova, D, Garcia, JRQ, Rosengren, A, Sacerdote, C, Sakurai, M, Santiuste, C, Schulze, MB, Sieri, S, Sundström, J ; https://orcid.org/0000-0003-2247-8454, Tikhonoff, V, Tjønneland, A, Tong, T, Tumino, R, Tzoulaki, I, Van Der Schouw, YT, Monique Verschuren, WM, Völzke, H, Wallace, RB, Wannamethee, SG, Weiderpass, E, Willeit, P, Woodward, M ; https://orcid.org/0000-0001-9800-5296, Yamagishi, K, Zamora-Ros, R, Akwo, EA, Pyarajan, S, Gagnon, DR, Tsao, PS, Muralidhar, S, Edwards, TL, Damrauer, SM, Joseph, J, Pennells, L, Wilson, PWF, Harrison, S, Gaziano, L, Sun, L, Arnold, M, Bell, S, Cho, K, Kaptoge, SK, Song, RJ, Burgess, S, Posner, DC, Mosconi, K, Robinson-Cohen, C, Mason, AM, Bolton, TR, Tao, R, Allara, E, Schubert, P, Chen, L, Staley, JR, Staplin, N, Altay, S, Amiano, P, Arndt, V, Ärnlöv, J, Barr, ELM, Björkelund, C, Boer, JMA, Brenner, H, Casiglia, E, Chiodini, P, Cooper, JA, Coresh, J, Cushman, M, Dankner, R, Davidson, KW, De Jongh, RT, Donfrancesco, C, Engström, G, Freisling, H, De La Cámara, AG, Gudnason, V, Hankey, GJ, Hansson, PO, Heath, AK, Hoorn, EJ, Imano, H, Jassal, SK, Kaaks, R, Katzke, V, Kauhanen, J, Kiechl, S, Koenig, W, Kronmal, RA, Kyrø, C, Lawlor, DA, Ljungberg, B, MacDonald, C, Masala, G, Meisinger, C, Melander, O, Moreno Iribas, C, Ninomiya, T, Nitsch, D, Nordestgaard, BG, Onland-Moret, C, Palmieri, L, Petrova, D, Garcia, JRQ, Rosengren, A, Sacerdote, C, Sakurai, M, Santiuste, C, Schulze, MB, Sieri, S, Sundström, J ; https://orcid.org/0000-0003-2247-8454, Tikhonoff, V, Tjønneland, A, Tong, T, Tumino, R, Tzoulaki, I, Van Der Schouw, YT, Monique Verschuren, WM, Völzke, H, Wallace, RB, Wannamethee, SG, Weiderpass, E, Willeit, P, Woodward, M ; https://orcid.org/0000-0001-9800-5296, Yamagishi, K, Zamora-Ros, R, Akwo, EA, Pyarajan, S, Gagnon, DR, Tsao, PS, Muralidhar, S, Edwards, TL, Damrauer, SM, Joseph, J, Pennells, L, Wilson, PWF, and Harrison, S

Abstract

Background: End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke. Methods: Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition-Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.8 million person-years of follow-up. Using a genetic risk score of 218 variants for estimated glomerular filtration rate (eGFR), we conducted Mendelian randomization analyses involving 413 718 participants (25 917 CHD and 8622 strokes) in EPIC-CVD, Million Veteran Program, and UK Biobank. Results: There were U-shaped observational associations of creatinine-based eGFR with CHD and stroke, with higher risk in participants with eGFR values <60 or >105 mL·min-1·1.73 m-2, compared with those with eGFR between 60 and 105 mL·min-1·1.73 m-2. Mendelian randomization analyses for CHD showed an association among participants with eGFR <60 mL·min-1·1.73 m-2, with a 14% (95% CI, 3%-27%) higher CHD risk per 5 mL·min-1·1.73 m-2 lower genetically predicted eGFR, but not for those with eGFR >105 mL·min-1·1.73 m-2. Results were not materially different after adjustment for factors associated with the eGFR genetic risk score, such as lipoprotein(a), triglycerides, hemoglobin A1c, and blood pressure. Mendelian randomization results for stroke were nonsignificant but broadly similar to those for CHD. Conclusions: In people without manifest cardiovascular disease or diabetes, mild-to-moderate kidney dysfunction is causally related to risk of CHD, highlighting the potential value of preventive approaches th

Published
2022

36. Depression and Dementia: The Role of Cortisol and Vascular Brain Lesions. AGES-Reykjavik Study

Author

Gerritsen, L., Twait, E.L., Jonsson, P.V., Gudnason, V., Launer, L.J., Geerlings, M.I., Gerritsen, L., Twait, E.L., Jonsson, P.V., Gudnason, V., Launer, L.J., and Geerlings, M.I.

Abstract

Background: Late-life depression (LLD) is related to an increased risk of developing dementia; however, the biological mechanisms explaining this relationship remain unclear. Objective: To determine whether the relationship between LLD and dementia can be best explained by the glucocorticoid cascade or vascular hypothesis. Methods: Data are from 4,354 persons (mean age 76±5 years) without dementia at baseline from the AGES-Reykjavik Study. LLD was assessed with the MINI diagnostic interview (current and remitted major depressive disorder [MDD]) and the Geriatric Depression Scale-15. Morning and evening salivary cortisol were collected (glucocorticoid cascade hypothesis). White matter hyperintensities (WMH; vascular hypothesis) volume was assessed using 1.5T brain MRI. Using Cox proportional hazard models, we estimated the associations of LLD, cortisol levels, and WMH volume with incident all-cause dementia, AD, and non-AD dementia. Results: During 8.8±3.2 years of follow-up, 843 persons developed dementia, including 397 with AD. Current MDD was associated with an increased risk of developing all-cause dementia (HR = 2.17; 95% CI 1.66-2.67), with risks similar for AD and non-AD, while remitted MDD was not (HR = 1.02; 95% CI 0.55-1.49). Depressive symptoms were also associated with increased risk of dementia, in particular non-AD dementias. Higher levels of evening cortisol increased risk of dementia, but this was independent of MDD. WMH partially explained the relation between current MDD and dementia risk but remained increased (HR = 1.71; 95% CI 1.34-2.08). Conclusion: The current study highlights the importance of LLD in developing dementia. However, neither the glucocorticoid cascade nor the vascular hypotheses fully explained the relation between depression and dementia.

Published
2022

37. Depressive symptom profiles predict dementia onset and brain pathology in older persons: The AGES-Reykjavik study

Author

Gerritsen, L., Sigurdsson, S., Jonsson, P.V., Gudnason, V., Launer, L.J., Geerlings, M.I., Gerritsen, L., Sigurdsson, S., Jonsson, P.V., Gudnason, V., Launer, L.J., and Geerlings, M.I.

Abstract

Late-life depression (LLD) increases risk for dementia and brain pathology, but possibly this is only true for one or more symptom profiles of LLD. In 4354 participants (76 ± 5 years; 58% female) from the Age, Gene/Environment Susceptibility (AGES)-Reykjavik Study, we identified five LLD symptom profiles, based on the Geriatric Depression Scale-15 (no LLD (57%); apathy (31%); apathy with emptiness (2%), mild LLD (8%) and severe LLD (2%)). Cox regression analyses showed that severe LLD, mild LLD and apathy increased risk of dementia up to 12 years, compared to no LLD. Additionally, hippocampal volume loss and white matter lesion increase, were assessed on 1.5 T MR images, at baseline and after 5 years follow-up. Only severe LLD showed increased WML volume over time, but not on hippocampal volume loss. WML increase over time mediated partially the relation between mild LLD and dementia but not for the other symptom profiles. It appears that hippocampal atrophy and LLD are independent predictors for dementia incidence, whereas for mild LLD the risk for dementia is partially mediated by WML changes.

Published
2022

39. Stroke genetics informs drug discovery and risk prediction across ancestries

Author

Mishra, A, Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D.C., Kamanu, F.K., Koido, M., Grand, Q. Le, Shi, M., He, Y., Georgakis, M.K., Caro, I., Krebs, K., Liaw, Y.C., Vaura, F.C., Lin, K., Winsvold, B.S., Srinivasasainagendra, V., Parodi, L., Bae, H.J., Chauhan, G., Chong, M.R., Tomppo, L., Akinyemi, R., Roshchupkin, G.V., Habib, N., Jee, Y.H., Thomassen, J.Q., Abedi, V., Cárcel-Márquez, J., Nygaard, M., Leonard, H.L., Yang, C., Yonova-Doing, E., Knol, M.J., Lewis, A.J., Judy, R.L., Ago, T., Amouyel, P., Armstrong, N.D., Bakker, M.K., Bartz, T.M., Bennett, D.A., Bis, J.C., Bordes, C., Børte, S., Cain, A., Ridker, P.M., Cho, K., Chen, Z., Cruchaga, C., Cole, J.W., Jager, P.L., Cid, R. de, Endres, M., Ferreira, L.E., Geerlings, M.I., Gasca, N.C., Gudnason, V., Hata, J., He, J., Heath, A.K., Ho, Y.L., Havulinna, A.S., Hopewell, J.C., Hyacinth, H.I., Inouye, M., Jacob, M.A., Jeon, C.E., Jern, C., Kamouchi, M., Keene, K.L., Kitazono, T., Kittner, S.J., Konuma, T., Kumar, A., Lacaze, P., Launer, L.J., Lee, K.J., Lepik, K., Li, J, Li, L, Manichaikul, A., Markus, H.S., Marston, N.A., Meitinger, T., Mitchell, B.D., Montellano, F.A., Morisaki, T., Mosley, T.H., Nalls, M.A., Nordestgaard, B.G., O'Donnell, M.J., Okada, Y., Onland-Moret, N.C., Ovbiagele, B., Peters, A., Psaty, B.M., Rich, S.S., Tuladhar, A.M., Leeuw, F.E. de, Dichgans, M., Debette, S., Mishra, A, Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D.C., Kamanu, F.K., Koido, M., Grand, Q. Le, Shi, M., He, Y., Georgakis, M.K., Caro, I., Krebs, K., Liaw, Y.C., Vaura, F.C., Lin, K., Winsvold, B.S., Srinivasasainagendra, V., Parodi, L., Bae, H.J., Chauhan, G., Chong, M.R., Tomppo, L., Akinyemi, R., Roshchupkin, G.V., Habib, N., Jee, Y.H., Thomassen, J.Q., Abedi, V., Cárcel-Márquez, J., Nygaard, M., Leonard, H.L., Yang, C., Yonova-Doing, E., Knol, M.J., Lewis, A.J., Judy, R.L., Ago, T., Amouyel, P., Armstrong, N.D., Bakker, M.K., Bartz, T.M., Bennett, D.A., Bis, J.C., Bordes, C., Børte, S., Cain, A., Ridker, P.M., Cho, K., Chen, Z., Cruchaga, C., Cole, J.W., Jager, P.L., Cid, R. de, Endres, M., Ferreira, L.E., Geerlings, M.I., Gasca, N.C., Gudnason, V., Hata, J., He, J., Heath, A.K., Ho, Y.L., Havulinna, A.S., Hopewell, J.C., Hyacinth, H.I., Inouye, M., Jacob, M.A., Jeon, C.E., Jern, C., Kamouchi, M., Keene, K.L., Kitazono, T., Kittner, S.J., Konuma, T., Kumar, A., Lacaze, P., Launer, L.J., Lee, K.J., Lepik, K., Li, J, Li, L, Manichaikul, A., Markus, H.S., Marston, N.A., Meitinger, T., Mitchell, B.D., Montellano, F.A., Morisaki, T., Mosley, T.H., Nalls, M.A., Nordestgaard, B.G., O'Donnell, M.J., Okada, Y., Onland-Moret, N.C., Ovbiagele, B., Peters, A., Psaty, B.M., Rich, S.S., Tuladhar, A.M., Leeuw, F.E. de, Dichgans, M., and Debette, S.

Abstract

Item does not contain fulltext, Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry(1,2). Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis(3), and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach(4), we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry(5). Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.

Published
2022

40. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning

Author

Lahti, J., Tuominen, S., Yang, Q., Pergola, G., Ahmad, S., Amin, N., Armstrong, N.J., Beiser, A., Bey, K., Bis, J.C., Boerwinkle, E., Bressler, J., Campbell, A., Campbell, H., Chen, Q., Corley, J., Cox, S.R., Davies, G., De Jager, P.L., Derks, E.M., Faul, J.D., Fitzpatrick, A.L., Fohner, A.E., Ford, I., Fornage, M., Gerring, Z., Grabe, H.J., Grodstein, F., Gudnason, V., Simonsick, E., Holliday, E.G., Joshi, P.K., Kajantie, E., Kaprio, J., Karell, P., Kleineidam, L., Knol, M.J., Kochan, N.A., Kwok, J.B., Leber, M., Lam, M., Lee, T., Li, S., Loukola, A., Luck, T., Marioni, R.E., Mather, K.A., Medland, S., Mirza, S.S., Nalls, M.A., Nho, K., O’Donnell, A., Oldmeadow, C., Painter, J., Pattie, A., Reppermund, S., Risacher, S.L., Rose, R.J., Sadashivaiah, V., Scholz, M., Satizabal, C.L., Schofield, P.W., Schraut, K.E., Scott, R.J., Simino, J., Smith, A.V., Smith, J.A., Stott, D.J., Surakka, I., Teumer, A., Thalamuthu, A., Trompet, S., Turner, S.T., van der Lee, S.J., Villringer, A., Völker, U., Wilson, R.S., Wittfeld, K., Vuoksimaa, E., Xia, R., Yaffe, K., Yu, L., Zare, H., Zhao, W., Ames, D., Attia, J., Bennett, D.A., Brodaty, H., Chasman, D.I., Goldman, A.L., Hayward, C., Ikram, M.A., Jukema, J.W., Kardia, S.L.R., Lencz, T., Loeffler, M., Mattay, V.S., Palotie, A., Psaty, B.M., Ramirez, A., Ridker, P.M., Riedel-Heller, S.G., Sachdev, P.S., Saykin, A.J., Scherer, M., Schofield, P.R., Sidney, S., Starr, J.M., Trollor, J., Ulrich, W., Wagner, M., Weir, D.R., Wilson, J.F., Wright, M.J., Weinberger, D.R., Debette, S., Eriksson, J.G., Mosley, T.H., Launer, L.J., van Duijn, C.M., Deary, I.J., Seshadri, S., Räikkönen, K., Lahti, J., Tuominen, S., Yang, Q., Pergola, G., Ahmad, S., Amin, N., Armstrong, N.J., Beiser, A., Bey, K., Bis, J.C., Boerwinkle, E., Bressler, J., Campbell, A., Campbell, H., Chen, Q., Corley, J., Cox, S.R., Davies, G., De Jager, P.L., Derks, E.M., Faul, J.D., Fitzpatrick, A.L., Fohner, A.E., Ford, I., Fornage, M., Gerring, Z., Grabe, H.J., Grodstein, F., Gudnason, V., Simonsick, E., Holliday, E.G., Joshi, P.K., Kajantie, E., Kaprio, J., Karell, P., Kleineidam, L., Knol, M.J., Kochan, N.A., Kwok, J.B., Leber, M., Lam, M., Lee, T., Li, S., Loukola, A., Luck, T., Marioni, R.E., Mather, K.A., Medland, S., Mirza, S.S., Nalls, M.A., Nho, K., O’Donnell, A., Oldmeadow, C., Painter, J., Pattie, A., Reppermund, S., Risacher, S.L., Rose, R.J., Sadashivaiah, V., Scholz, M., Satizabal, C.L., Schofield, P.W., Schraut, K.E., Scott, R.J., Simino, J., Smith, A.V., Smith, J.A., Stott, D.J., Surakka, I., Teumer, A., Thalamuthu, A., Trompet, S., Turner, S.T., van der Lee, S.J., Villringer, A., Völker, U., Wilson, R.S., Wittfeld, K., Vuoksimaa, E., Xia, R., Yaffe, K., Yu, L., Zare, H., Zhao, W., Ames, D., Attia, J., Bennett, D.A., Brodaty, H., Chasman, D.I., Goldman, A.L., Hayward, C., Ikram, M.A., Jukema, J.W., Kardia, S.L.R., Lencz, T., Loeffler, M., Mattay, V.S., Palotie, A., Psaty, B.M., Ramirez, A., Ridker, P.M., Riedel-Heller, S.G., Sachdev, P.S., Saykin, A.J., Scherer, M., Schofield, P.R., Sidney, S., Starr, J.M., Trollor, J., Ulrich, W., Wagner, M., Weir, D.R., Wilson, J.F., Wright, M.J., Weinberger, D.R., Debette, S., Eriksson, J.G., Mosley, T.H., Launer, L.J., van Duijn, C.M., Deary, I.J., Seshadri, S., and Räikkönen, K.

Abstract

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

Published
2022

42. Update of the fracture risk prediction tool FRAX : a systematic review of potential cohorts and analysis plan

Author

Vandenput, L., Johansson, H., McCloskey, E.V., Liu, E., Åkesson, K.E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, C., Bischoff-Ferrari, H.A., Biver, E., Bruyère, O., Cauley, J.A., Center, J.R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C.J., Cummings, S.R., da Silva, J.A.P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A.B., Eisman, J.A., Elders, P.J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R.J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, S., Kiel, D.P., Koh, W.-P., Koromani, F., Kotowicz, M.A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, Annika, Nordström, Peter, O’Neill, T.W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schei, B., Schott, A.-M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., van Schoor, N.M., van Staa, T.P., Vila, J., Wareham, N.J., Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Harvey, N.C., Lorentzon, M., Leslie, W.D., Kanis, J.A., Vandenput, L., Johansson, H., McCloskey, E.V., Liu, E., Åkesson, K.E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, C., Bischoff-Ferrari, H.A., Biver, E., Bruyère, O., Cauley, J.A., Center, J.R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C.J., Cummings, S.R., da Silva, J.A.P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A.B., Eisman, J.A., Elders, P.J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R.J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, S., Kiel, D.P., Koh, W.-P., Koromani, F., Kotowicz, M.A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, Annika, Nordström, Peter, O’Neill, T.W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schei, B., Schott, A.-M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., van Schoor, N.M., van Staa, T.P., Vila, J., Wareham, N.J., Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Harvey, N.C., Lorentzon, M., Leslie, W.D., and Kanis, J.A.

Abstract

Summary: We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. Introduction: The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. Methods: A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. Results: Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of

Published
2022
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43. A saturated map of common genetic variants associated with human height

Author

Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S, Graff, M, Eliasen, AU, Jiang, Y, Raghavan, S, Miao, J, Arias, JD, Graham, SE, Mukamel, RE, Spracklen, CN, Yin, X, Chen, S-H, Ferreira, T, Highland, HH, Ji, Y, Karaderi, T, Lin, K, Lull, K, Malden, DE, Medina-Gomez, C, Machado, M, Moore, A, Rueger, S, Sim, X, Vrieze, S, Ahluwalia, TS, Akiyama, M, Allison, MA, Alvarez, M, Andersen, MK, Ani, A, Appadurai, V, Arbeeva, L, Bhaskar, S, Bielak, LF, Bollepalli, S, Bonnycastle, LL, Bork-Jensen, J, Bradfield, JP, Bradford, Y, Braund, PS, Brody, JA, Burgdorf, KS, Cade, BE, Cai, H, Cai, Q, Campbell, A, Canadas-Garre, M, Catamo, E, Chai, J-F, Chai, X, Chang, L-C, Chang, Y-C, Chen, C-H, Chesi, A, Choi, SH, Chung, R-H, Cocca, M, Concas, MP, Couture, C, Cuellar-Partida, G, Danning, R, Daw, EW, Degenhard, F, Delgado, GE, Delitala, A, Demirkan, A, Deng, X, Devineni, P, Dietl, A, Dimitriou, M, Dimitrov, L, Dorajoo, R, Ekici, AB, Engmann, JE, Fairhurst-Hunter, Z, Farmaki, A-E, Faul, JD, Fernandez-Lopez, J-C, Forer, L, Francescatto, M, Freitag-Wolf, S, Fuchsberger, C, Galesloot, TE, Gao, Y, Gao, Z, Geller, F, Giannakopoulou, O, Giulianini, F, Gjesing, AP, Goel, A, Gordon, SD, Gorski, M, Grove, J, Guo, X, Gustafsson, S, Haessler, J, Hansen, TF, Havulinna, AS, Haworth, SJ, He, J, Heard-Costa, N, Hebbar, P, Hindy, G, Ho, Y-LA, Hofer, E, Holliday, E, Horn, K, Hornsby, WE, Hottenga, J-J, Huang, H, Huang, J, Huerta-Chagoya, A, Huffman, JE, Hung, Y-J, Huo, S, Hwang, MY, Iha, H, Ikeda, DD, Isono, M, Jackson, AU, Jager, S, Jansen, IE, Johansson, I, Jonas, JB, Jonsson, A, Jorgensen, T, Kalafati, I-P, Kanai, M, Kanoni, S, Karhus, LL, Kasturiratne, A, Katsuya, T, Kawaguchi, T, Kember, RL, Kentistou, KA, Kim, H-N, Kim, YJ, Kleber, ME, Knol, MJ, Kurbasic, A, Lauzon, M, Le, P, Lea, R, Lee, J-Y, Leonard, HL, Li, SA, Li, X, Liang, J, Lin, H, Lin, S-Y, Liu, J, Liu, X, Lo, KS, Long, J, Lores-Motta, L, Luan, J, Lyssenko, V, Lyytikainen, L-P, Mahajan, A, Mamakou, V, Mangino, M, Manichaikul, A, Marten, J, Mattheisen, M, Mavarani, L, McDaid, AF, Meidtner, K, Melendez, TL, Mercader, JM, Milaneschi, Y, Miller, JE, Millwood, IY, Mishra, PP, Mitchell, RE, Mollehave, LT, Morgan, A, Mucha, S, Munz, M, Nakatochi, M, Nelson, CP, Nethander, M, Nho, CW, Nielsen, AA, Nolte, IM, Nongmaithem, SS, Noordam, R, Ntalla, I, Nutile, T, Pandit, A, Christofidou, P, Parna, K, Pauper, M, Petersen, ERB, Petersen, L, Pitkanen, N, Polasek, O, Poveda, A, Preuss, MH, Pyarajan, S, Raffield, LM, Rakugi, H, Ramirez, J, Rasheed, A, Raven, D, Rayner, NW, Riveros, C, Rohde, R, Ruggiero, D, Ruotsalainen, SE, Ryan, KA, Sabater-Lleal, M, Saxena, R, Scholz, M, Sendamarai, A, Shen, B, Shi, J, Shin, JH, Sidore, C, Sitlani, CM, Slieker, RKC, Smit, RAJ, Smith, A, Smith, JA, Smyth, LJ, Southam, LE, Steinthorsdottir, V, Sun, L, Takeuchi, F, Tallapragada, D, Taylor, KD, Tayo, BO, Tcheandjieu, C, Terzikhan, N, Tesolin, P, Teumer, A, Theusch, E, Thompson, DJ, Thorleifsson, G, Timmers, PRHJ, Trompet, S, Turman, C, Vaccargiu, S, van der Laan, SW, van der Most, PJ, van Klinken, JB, van Setten, J, Verma, SS, Verweij, N, Veturi, Y, Wang, CA, Wang, C, Wang, L, Wang, Z, Warren, HR, Wei, WB, Wickremasinghe, AR, Wielscher, M, Wiggins, KL, Winsvold, BS, Wong, A, Wu, Y, Wuttke, M, Xia, R, Xie, T, Yamamoto, K, Yang, J, Yao, J, Young, H, Yousri, NA, Yu, L, Zeng, L, Zhang, W, Zhang, X, Zhao, J-H, Zhao, W, Zhou, W, Zimmermann, ME, Zoledziewska, M, Adair, LS, Adams, HHH, Aguilar-Salinas, CA, Al-Mulla, F, Arnett, DK, Asselbergs, FW, Asvold, BO, Attia, J, Banas, B, Bandinelli, S, Bennett, DA, Bergler, T, Bharadwaj, D, Biino, G, Bisgaard, H, Boerwinkle, E, Boger, CA, Bonnelykke, K, Boomsma, D, Borglum, AD, Borja, JB, Bouchard, C, Bowden, DW, Brandslund, I, Brumpton, B, Buring, JE, Caulfield, MJ, Chambers, JC, Chandak, GR, Chanock, SJ, Chaturvedi, N, Chen, Y-DI, Chen, Z, Cheng, C-Y, Christophersen, IE, Ciullo, M, Cole, JW, Collins, FS, Cooper, RS, Cruz, M, Cucca, F, Cupples, LA, Cutler, MJ, Damrauer, SM, Dantoft, TM, de Borst, GJ, de Groot, LCPGM, De Jager, PL, de Kleijn, DP, de Silva, HJ, Dedoussis, G, den Hollander, A, Du, S, Easton, DF, Elders, PJM, Eliassen, AH, Ellinor, PT, Elmstahl, S, Erdmann, J, Evans, MK, Fatkin, D, Feenstra, B, Feitosa, MF, Ferrucci, L, Ford, I, Fornage, M, Franke, A, Franks, PW, Freedman, B, Gasparini, P, Gieger, C, Girotto, G, Goddard, ME, Golightly, YM, Gonzalez-Villalpando, C, Gordon-Larsen, P, Grallert, H, Grant, SFA, Grarup, N, Griffiths, L, Gudnason, V, Haiman, C, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayward, C, Heckbert, SR, Heng, C-K, Hengstenberg, C, Hewitt, AW, Hishigaki, H, Hoyng, CB, Huang, PL, Huang, W, Hunt, SC, Hveem, K, Hypponen, E, Iacono, WG, Ichihara, S, Ikram, MA, Isasi, CR, Jackson, RD, Jarvelin, M-R, Jin, Z-B, Jockel, K-H, Joshi, PK, Jousilahti, P, Jukema, JW, Kahonen, M, Kamatani, Y, Kang, KD, Kaprio, J, Kardia, SLR, Karpe, F, Kato, N, Kee, F, Kessler, T, Khera, A, Khor, CC, Kiemeney, LALM, Kim, B-J, Kim, EK, Kim, H-L, Kirchhof, P, Kivimaki, M, Koh, W-P, Koistinen, HA, Kolovou, GD, Kooner, JS, Kooperberg, C, Kottgen, A, Kovacs, P, Kraaijeveld, A, Kraft, P, Krauss, RM, Kumari, M, Kutalik, Z, Laakso, M, Lange, LA, Langenberg, C, Launer, LJ, Le Marchand, L, Lee, H, Lee, NR, Lehtimaki, T, Li, H, Li, L, Lieb, W, Lin, X, Lind, L, Linneberg, A, Liu, C-T, Loeffler, M, London, B, Lubitz, SA, Lye, SJ, Mackey, DA, Magi, R, Magnusson, PKE, Marcus, GM, Vidal, PM, Martin, NG, Marz, W, Matsuda, F, McGarrah, RW, McGue, M, McKnight, AJ, Medland, SE, Mellstrom, D, Metspalu, A, Mitchell, BD, Mitchell, P, Mook-Kanamori, DO, Morris, AD, Mucci, LA, Munroe, PB, Nalls, MA, Nazarian, S, Nelson, AE, Neville, MJ, Newton-Cheh, C, Nielsen, CS, Nothen, MM, Ohlsson, C, Oldehinkel, AJ, Orozco, L, Pahkala, K, Pajukanta, P, Palmer, CNA, Parra, EJ, Pattaro, C, Pedersen, O, Pennell, CE, Penninx, BWJH, Perusse, L, Peters, A, Peyser, PA, Porteous, DJ, Posthuma, D, Power, C, Pramstaller, PP, Province, MA, Qi, Q, Qu, J, Rader, DJ, Raitakari, OT, Ralhan, S, Rallidis, LS, Rao, DC, Redline, S, Reilly, DF, Reiner, AP, Rhee, SY, Ridker, PM, Rienstra, M, Ripatti, S, Ritchie, MD, Roden, DM, Rosendaal, FR, Rotter, J, Rudan, I, Rutters, F, Sabanayagam, C, Saleheen, D, Salomaa, V, Samani, NJ, Sanghera, DK, Sattar, N, Schmidt, B, Schmidt, H, Schmidt, R, Schulze, MB, Schunkert, H, Scott, LJ, Scott, RJ, Sever, P, Shiroma, EJ, Shoemaker, MB, Shu, X-O, Simonsick, EM, Sims, M, Singh, JR, Singleton, AB, Sinner, MF, Smith, JG, Snieder, H, Spector, TD, Stampfer, MJ, Stark, KJ, Strachan, DP, t' Hart, LM, Tabara, Y, Tang, H, Tardif, J-C, Thanaraj, TA, Timpson, NJ, Tonjes, A, Tremblay, A, Tuomi, T, Tuomilehto, J, Tusie-Luna, M-T, Uitterlinden, AG, van Dam, RM, van der Harst, P, Van der Velde, N, van Duijn, CM, van Schoor, NM, Vitart, V, Volker, U, Vollenweider, P, Volzke, H, Wacher-Rodarte, NH, Walker, M, Wang, YX, Wareham, NJ, Watanabe, RM, Watkins, H, Weir, DR, Werge, TM, Widen, E, Wilkens, LR, Willemsen, G, Willett, WC, Wilson, JF, Wong, T-Y, Woo, J-T, Wright, AF, Wu, J-Y, Xu, H, Yajnik, CS, Yokota, M, Yuan, J-M, Zeggini, E, Zemel, BS, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Zwart, J-A, Chasman, D, Cho, YS, Heid, IM, McCarthy, M, Ng, MCY, O'Donnell, CJ, Rivadeneira, F, Thorsteinsdottir, U, Sun, Y, Tai, ES, Boehnke, M, Deloukas, P, Justice, AE, Lindgren, CM, Loos, RJF, Mohlke, KL, North, KE, Stefansson, K, Walters, RG, Winkler, TW, Young, KL, Loh, P-R, Esko, T, Assimes, TL, Auton, A, Abecasis, GR, Willer, CJ, Locke, AE, Berndt, S, Lettre, G, Frayling, TM, Okada, Y, Wood, AR, Visscher, PM, Hirschhorn, JN, Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S, Graff, M, Eliasen, AU, Jiang, Y, Raghavan, S, Miao, J, Arias, JD, Graham, SE, Mukamel, RE, Spracklen, CN, Yin, X, Chen, S-H, Ferreira, T, Highland, HH, Ji, Y, Karaderi, T, Lin, K, Lull, K, Malden, DE, Medina-Gomez, C, Machado, M, Moore, A, Rueger, S, Sim, X, Vrieze, S, Ahluwalia, TS, Akiyama, M, Allison, MA, Alvarez, M, Andersen, MK, Ani, A, Appadurai, V, Arbeeva, L, Bhaskar, S, Bielak, LF, Bollepalli, S, Bonnycastle, LL, Bork-Jensen, J, Bradfield, JP, Bradford, Y, Braund, PS, Brody, JA, Burgdorf, KS, Cade, BE, Cai, H, Cai, Q, Campbell, A, Canadas-Garre, M, Catamo, E, Chai, J-F, Chai, X, Chang, L-C, Chang, Y-C, Chen, C-H, Chesi, A, Choi, SH, Chung, R-H, Cocca, M, Concas, MP, Couture, C, Cuellar-Partida, G, Danning, R, Daw, EW, Degenhard, F, Delgado, GE, Delitala, A, Demirkan, A, Deng, X, Devineni, P, Dietl, A, Dimitriou, M, Dimitrov, L, Dorajoo, R, Ekici, AB, Engmann, JE, Fairhurst-Hunter, Z, Farmaki, A-E, Faul, JD, Fernandez-Lopez, J-C, Forer, L, Francescatto, M, Freitag-Wolf, S, Fuchsberger, C, Galesloot, TE, Gao, Y, Gao, Z, Geller, F, Giannakopoulou, O, Giulianini, F, Gjesing, AP, Goel, A, Gordon, SD, Gorski, M, Grove, J, Guo, X, Gustafsson, S, Haessler, J, Hansen, TF, Havulinna, AS, Haworth, SJ, He, J, Heard-Costa, N, Hebbar, P, Hindy, G, Ho, Y-LA, Hofer, E, Holliday, E, Horn, K, Hornsby, WE, Hottenga, J-J, Huang, H, Huang, J, Huerta-Chagoya, A, Huffman, JE, Hung, Y-J, Huo, S, Hwang, MY, Iha, H, Ikeda, DD, Isono, M, Jackson, AU, Jager, S, Jansen, IE, Johansson, I, Jonas, JB, Jonsson, A, Jorgensen, T, Kalafati, I-P, Kanai, M, Kanoni, S, Karhus, LL, Kasturiratne, A, Katsuya, T, Kawaguchi, T, Kember, RL, Kentistou, KA, Kim, H-N, Kim, YJ, Kleber, ME, Knol, MJ, Kurbasic, A, Lauzon, M, Le, P, Lea, R, Lee, J-Y, Leonard, HL, Li, SA, Li, X, Liang, J, Lin, H, Lin, S-Y, Liu, J, Liu, X, Lo, KS, Long, J, Lores-Motta, L, Luan, J, Lyssenko, V, Lyytikainen, L-P, Mahajan, A, Mamakou, V, Mangino, M, Manichaikul, A, Marten, J, Mattheisen, M, Mavarani, L, McDaid, AF, Meidtner, K, Melendez, TL, Mercader, JM, Milaneschi, Y, Miller, JE, Millwood, IY, Mishra, PP, Mitchell, RE, Mollehave, LT, Morgan, A, Mucha, S, Munz, M, Nakatochi, M, Nelson, CP, Nethander, M, Nho, CW, Nielsen, AA, Nolte, IM, Nongmaithem, SS, Noordam, R, Ntalla, I, Nutile, T, Pandit, A, Christofidou, P, Parna, K, Pauper, M, Petersen, ERB, Petersen, L, Pitkanen, N, Polasek, O, Poveda, A, Preuss, MH, Pyarajan, S, Raffield, LM, Rakugi, H, Ramirez, J, Rasheed, A, Raven, D, Rayner, NW, Riveros, C, Rohde, R, Ruggiero, D, Ruotsalainen, SE, Ryan, KA, Sabater-Lleal, M, Saxena, R, Scholz, M, Sendamarai, A, Shen, B, Shi, J, Shin, JH, Sidore, C, Sitlani, CM, Slieker, RKC, Smit, RAJ, Smith, A, Smith, JA, Smyth, LJ, Southam, LE, Steinthorsdottir, V, Sun, L, Takeuchi, F, Tallapragada, D, Taylor, KD, Tayo, BO, Tcheandjieu, C, Terzikhan, N, Tesolin, P, Teumer, A, Theusch, E, Thompson, DJ, Thorleifsson, G, Timmers, PRHJ, Trompet, S, Turman, C, Vaccargiu, S, van der Laan, SW, van der Most, PJ, van Klinken, JB, van Setten, J, Verma, SS, Verweij, N, Veturi, Y, Wang, CA, Wang, C, Wang, L, Wang, Z, Warren, HR, Wei, WB, Wickremasinghe, AR, Wielscher, M, Wiggins, KL, Winsvold, BS, Wong, A, Wu, Y, Wuttke, M, Xia, R, Xie, T, Yamamoto, K, Yang, J, Yao, J, Young, H, Yousri, NA, Yu, L, Zeng, L, Zhang, W, Zhang, X, Zhao, J-H, Zhao, W, Zhou, W, Zimmermann, ME, Zoledziewska, M, Adair, LS, Adams, HHH, Aguilar-Salinas, CA, Al-Mulla, F, Arnett, DK, Asselbergs, FW, Asvold, BO, Attia, J, Banas, B, Bandinelli, S, Bennett, DA, Bergler, T, Bharadwaj, D, Biino, G, Bisgaard, H, Boerwinkle, E, Boger, CA, Bonnelykke, K, Boomsma, D, Borglum, AD, Borja, JB, Bouchard, C, Bowden, DW, Brandslund, I, Brumpton, B, Buring, JE, Caulfield, MJ, Chambers, JC, Chandak, GR, Chanock, SJ, Chaturvedi, N, Chen, Y-DI, Chen, Z, Cheng, C-Y, Christophersen, IE, Ciullo, M, Cole, JW, Collins, FS, Cooper, RS, Cruz, M, Cucca, F, Cupples, LA, Cutler, MJ, Damrauer, SM, Dantoft, TM, de Borst, GJ, de Groot, LCPGM, De Jager, PL, de Kleijn, DP, de Silva, HJ, Dedoussis, G, den Hollander, A, Du, S, Easton, DF, Elders, PJM, Eliassen, AH, Ellinor, PT, Elmstahl, S, Erdmann, J, Evans, MK, Fatkin, D, Feenstra, B, Feitosa, MF, Ferrucci, L, Ford, I, Fornage, M, Franke, A, Franks, PW, Freedman, B, Gasparini, P, Gieger, C, Girotto, G, Goddard, ME, Golightly, YM, Gonzalez-Villalpando, C, Gordon-Larsen, P, Grallert, H, Grant, SFA, Grarup, N, Griffiths, L, Gudnason, V, Haiman, C, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayward, C, Heckbert, SR, Heng, C-K, Hengstenberg, C, Hewitt, AW, Hishigaki, H, Hoyng, CB, Huang, PL, Huang, W, Hunt, SC, Hveem, K, Hypponen, E, Iacono, WG, Ichihara, S, Ikram, MA, Isasi, CR, Jackson, RD, Jarvelin, M-R, Jin, Z-B, Jockel, K-H, Joshi, PK, Jousilahti, P, Jukema, JW, Kahonen, M, Kamatani, Y, Kang, KD, Kaprio, J, Kardia, SLR, Karpe, F, Kato, N, Kee, F, Kessler, T, Khera, A, Khor, CC, Kiemeney, LALM, Kim, B-J, Kim, EK, Kim, H-L, Kirchhof, P, Kivimaki, M, Koh, W-P, Koistinen, HA, Kolovou, GD, Kooner, JS, Kooperberg, C, Kottgen, A, Kovacs, P, Kraaijeveld, A, Kraft, P, Krauss, RM, Kumari, M, Kutalik, Z, Laakso, M, Lange, LA, Langenberg, C, Launer, LJ, Le Marchand, L, Lee, H, Lee, NR, Lehtimaki, T, Li, H, Li, L, Lieb, W, Lin, X, Lind, L, Linneberg, A, Liu, C-T, Loeffler, M, London, B, Lubitz, SA, Lye, SJ, Mackey, DA, Magi, R, Magnusson, PKE, Marcus, GM, Vidal, PM, Martin, NG, Marz, W, Matsuda, F, McGarrah, RW, McGue, M, McKnight, AJ, Medland, SE, Mellstrom, D, Metspalu, A, Mitchell, BD, Mitchell, P, Mook-Kanamori, DO, Morris, AD, Mucci, LA, Munroe, PB, Nalls, MA, Nazarian, S, Nelson, AE, Neville, MJ, Newton-Cheh, C, Nielsen, CS, Nothen, MM, Ohlsson, C, Oldehinkel, AJ, Orozco, L, Pahkala, K, Pajukanta, P, Palmer, CNA, Parra, EJ, Pattaro, C, Pedersen, O, Pennell, CE, Penninx, BWJH, Perusse, L, Peters, A, Peyser, PA, Porteous, DJ, Posthuma, D, Power, C, Pramstaller, PP, Province, MA, Qi, Q, Qu, J, Rader, DJ, Raitakari, OT, Ralhan, S, Rallidis, LS, Rao, DC, Redline, S, Reilly, DF, Reiner, AP, Rhee, SY, Ridker, PM, Rienstra, M, Ripatti, S, Ritchie, MD, Roden, DM, Rosendaal, FR, Rotter, J, Rudan, I, Rutters, F, Sabanayagam, C, Saleheen, D, Salomaa, V, Samani, NJ, Sanghera, DK, Sattar, N, Schmidt, B, Schmidt, H, Schmidt, R, Schulze, MB, Schunkert, H, Scott, LJ, Scott, RJ, Sever, P, Shiroma, EJ, Shoemaker, MB, Shu, X-O, Simonsick, EM, Sims, M, Singh, JR, Singleton, AB, Sinner, MF, Smith, JG, Snieder, H, Spector, TD, Stampfer, MJ, Stark, KJ, Strachan, DP, t' Hart, LM, Tabara, Y, Tang, H, Tardif, J-C, Thanaraj, TA, Timpson, NJ, Tonjes, A, Tremblay, A, Tuomi, T, Tuomilehto, J, Tusie-Luna, M-T, Uitterlinden, AG, van Dam, RM, van der Harst, P, Van der Velde, N, van Duijn, CM, van Schoor, NM, Vitart, V, Volker, U, Vollenweider, P, Volzke, H, Wacher-Rodarte, NH, Walker, M, Wang, YX, Wareham, NJ, Watanabe, RM, Watkins, H, Weir, DR, Werge, TM, Widen, E, Wilkens, LR, Willemsen, G, Willett, WC, Wilson, JF, Wong, T-Y, Woo, J-T, Wright, AF, Wu, J-Y, Xu, H, Yajnik, CS, Yokota, M, Yuan, J-M, Zeggini, E, Zemel, BS, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Zwart, J-A, Chasman, D, Cho, YS, Heid, IM, McCarthy, M, Ng, MCY, O'Donnell, CJ, Rivadeneira, F, Thorsteinsdottir, U, Sun, Y, Tai, ES, Boehnke, M, Deloukas, P, Justice, AE, Lindgren, CM, Loos, RJF, Mohlke, KL, North, KE, Stefansson, K, Walters, RG, Winkler, TW, Young, KL, Loh, P-R, Esko, T, Assimes, TL, Auton, A, Abecasis, GR, Willer, CJ, Locke, AE, Berndt, S, Lettre, G, Frayling, TM, Okada, Y, Wood, AR, Visscher, PM, and Hirschhorn, JN

Abstract

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries.

Published
2022

44. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning

Author

Lahti, J, Tuominen, S, Yang, Q, Pergola, G, Ahmad, S, Amin, N, Armstrong, NJ, Beiser, A, Bey, K, Bis, JC, Boerwinkle, E, Bressler, J, Campbell, A, Campbell, H, Chen, Q, Corley, J, Cox, SR, Davies, G, De Jager, PL, Derks, EM, Faul, JD, Fitzpatrick, AL, Fohner, AE, Ford, I, Fornage, M, Gerring, Z, Grabe, HJ, Grodstein, F, Gudnason, V, Simonsick, E, Holliday, EG, Joshi, PK, Kajantie, E, Kaprio, J, Karell, P, Kleineidam, L, Knol, MJ, Kochan, NA, Kwok, JB, Leber, M, Lam, M, Lee, T, Li, S, Loukola, A, Luck, T, Marioni, RE, Mather, KA, Medland, S, Mirza, SS, Nalls, MA, Nho, K, O'Donnell, A, Oldmeadow, C, Painter, J, Pattie, A, Reppermund, S, Risacher, SL, Rose, RJ, Sadashivaiah, V, Scholz, M, Satizabal, CL, Schofield, PW, Schraut, KE, Scott, RJ, Simino, J, Smith, AV, Smith, JA, Stott, DJ, Surakka, I, Teumer, A, Thalamuthu, A, Trompet, S, Turner, ST, van der Lee, SJ, Villringer, A, Voelker, U, Wilson, RS, Wittfeld, K, Vuoksimaa, E, Xia, R, Yaffe, K, Yu, L, Zare, H, Zhao, W, Ames, D, Attia, J, Bennett, DA, Brodaty, H, Chasman, DI, Goldman, AL, Hayward, C, Ikram, MA, Jukema, JW, Kardia, SLR, Lencz, T, Loeffler, M, Mattay, VS, Palotie, A, Psaty, BM, Ramirez, A, Ridker, PM, Riedel-Heller, SG, Sachdev, PS, Saykin, AJ, Scherer, M, Schofield, PR, Sidney, S, Starr, JM, Trollor, J, Ulrich, W, Wagner, M, Weir, DR, Wilson, JF, Wright, MJ, Weinberger, DR, Debette, S, Eriksson, JG, Mosley, TH, Launer, LJ, van Duijn, CM, Deary, IJ, Seshadri, S, Raikkonen, K, Lahti, J, Tuominen, S, Yang, Q, Pergola, G, Ahmad, S, Amin, N, Armstrong, NJ, Beiser, A, Bey, K, Bis, JC, Boerwinkle, E, Bressler, J, Campbell, A, Campbell, H, Chen, Q, Corley, J, Cox, SR, Davies, G, De Jager, PL, Derks, EM, Faul, JD, Fitzpatrick, AL, Fohner, AE, Ford, I, Fornage, M, Gerring, Z, Grabe, HJ, Grodstein, F, Gudnason, V, Simonsick, E, Holliday, EG, Joshi, PK, Kajantie, E, Kaprio, J, Karell, P, Kleineidam, L, Knol, MJ, Kochan, NA, Kwok, JB, Leber, M, Lam, M, Lee, T, Li, S, Loukola, A, Luck, T, Marioni, RE, Mather, KA, Medland, S, Mirza, SS, Nalls, MA, Nho, K, O'Donnell, A, Oldmeadow, C, Painter, J, Pattie, A, Reppermund, S, Risacher, SL, Rose, RJ, Sadashivaiah, V, Scholz, M, Satizabal, CL, Schofield, PW, Schraut, KE, Scott, RJ, Simino, J, Smith, AV, Smith, JA, Stott, DJ, Surakka, I, Teumer, A, Thalamuthu, A, Trompet, S, Turner, ST, van der Lee, SJ, Villringer, A, Voelker, U, Wilson, RS, Wittfeld, K, Vuoksimaa, E, Xia, R, Yaffe, K, Yu, L, Zare, H, Zhao, W, Ames, D, Attia, J, Bennett, DA, Brodaty, H, Chasman, DI, Goldman, AL, Hayward, C, Ikram, MA, Jukema, JW, Kardia, SLR, Lencz, T, Loeffler, M, Mattay, VS, Palotie, A, Psaty, BM, Ramirez, A, Ridker, PM, Riedel-Heller, SG, Sachdev, PS, Saykin, AJ, Scherer, M, Schofield, PR, Sidney, S, Starr, JM, Trollor, J, Ulrich, W, Wagner, M, Weir, DR, Wilson, JF, Wright, MJ, Weinberger, DR, Debette, S, Eriksson, JG, Mosley, TH, Launer, LJ, van Duijn, CM, Deary, IJ, Seshadri, S, and Raikkonen, K

Abstract

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

Published
2022

45. Stroke genetics informs drug discovery and risk prediction across ancestries (vol 611, pg 115, 2022)

Author

Mishra, A, Malik, R, Hachiya, T, Jurgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, Y-C, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, H-J, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Carcel-Marquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Borte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, Y-L, Havulinna, AS, Hopewell, JC, Hyacinth, IH, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, K-J, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O'Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, Rich, SS, Rosand, J, Sabatine, MS, Sacco, RL, Saleheen, D, Sandset, EC, Salomaa, V, Sargurupremraj, M, Sasaki, M, Satizabal, CL, Schmidt, CO, Shimizu, A, Smith, NL, Sloane, KL, Sutoh, Y, Sun, YV, Tanno, K, Tiedt, S, Tatlisumak, T, Torres-Aguila, NP, Tiwari, HK, Tregouet, D-A, Trompet, S, Tuladhar, AM, Tybjaerg-Hansen, A, van Vugt, M, Vibo, R, Verma, SS, Wiggins, KL, Wennberg, P, Woo, D, Wilson, PWF, Xu, H, Yang, Q, Yoon, K, Millwood, IY, Gieger, C, Ninomiya, T, Grabe, HJ, Jukema, JW, Rissanen, IL, Strbian, D, Kim, YJ, Chen, P-H, Mayerhofer, E, Howson, JMM, Irvin, MR, Adams, H, Wassertheil-Smoller, S, Christensen, K, Ikram, MA, Rundek, T, Worrall, BB, Lathrop, GM, Riaz, M, Simonsick, EM, Korv, J, Franca, PHC, Zand, R, Prasad, K, Frikke-Schmidt, R, de Leeuw, F-E, Liman, T, Haeusler, KG, Ruigrok, YM, Heuschmann, PU, Longstreth, WT, Jung, KJ, Bastarache, L, Pare, G, Damrauer, SM, Chasman, DI, Rotter, JI, Anderson, CD, Zwart, J-A, Niiranen, TJ, Fornage, M, Liaw, Y-P, Seshadri, S, Fernandez-Cadenas, I, Walters, RG, Ruff, CT, Owolabi, MO, Huffman, JE, Milani, L, Kamatani, Y, Dichgans, M, Debette, S, Mishra, A, Malik, R, Hachiya, T, Jurgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, Y-C, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, H-J, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Carcel-Marquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Borte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, Y-L, Havulinna, AS, Hopewell, JC, Hyacinth, IH, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, K-J, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O'Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, Rich, SS, Rosand, J, Sabatine, MS, Sacco, RL, Saleheen, D, Sandset, EC, Salomaa, V, Sargurupremraj, M, Sasaki, M, Satizabal, CL, Schmidt, CO, Shimizu, A, Smith, NL, Sloane, KL, Sutoh, Y, Sun, YV, Tanno, K, Tiedt, S, Tatlisumak, T, Torres-Aguila, NP, Tiwari, HK, Tregouet, D-A, Trompet, S, Tuladhar, AM, Tybjaerg-Hansen, A, van Vugt, M, Vibo, R, Verma, SS, Wiggins, KL, Wennberg, P, Woo, D, Wilson, PWF, Xu, H, Yang, Q, Yoon, K, Millwood, IY, Gieger, C, Ninomiya, T, Grabe, HJ, Jukema, JW, Rissanen, IL, Strbian, D, Kim, YJ, Chen, P-H, Mayerhofer, E, Howson, JMM, Irvin, MR, Adams, H, Wassertheil-Smoller, S, Christensen, K, Ikram, MA, Rundek, T, Worrall, BB, Lathrop, GM, Riaz, M, Simonsick, EM, Korv, J, Franca, PHC, Zand, R, Prasad, K, Frikke-Schmidt, R, de Leeuw, F-E, Liman, T, Haeusler, KG, Ruigrok, YM, Heuschmann, PU, Longstreth, WT, Jung, KJ, Bastarache, L, Pare, G, Damrauer, SM, Chasman, DI, Rotter, JI, Anderson, CD, Zwart, J-A, Niiranen, TJ, Fornage, M, Liaw, Y-P, Seshadri, S, Fernandez-Cadenas, I, Walters, RG, Ruff, CT, Owolabi, MO, Huffman, JE, Milani, L, Kamatani, Y, Dichgans, M, and Debette, S

Published
2022

46. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries (Nature, (2022), 611, 7934, (115-123), 10.1038/s41586-022-05165-3)

Author

Mishra, A, Malik, R, Hachiya, T, Jürgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, YC, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, HJ, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Cárcel-Márquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Børte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, YL, Havulinna, AS, Hopewell, JC, Hyacinth, HI, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, KJ, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O’Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, Rich, SS, Mishra, A, Malik, R, Hachiya, T, Jürgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, YC, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, HJ, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Cárcel-Márquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Børte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, YL, Havulinna, AS, Hopewell, JC, Hyacinth, HI, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, KJ, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O’Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, and Rich, SS

Abstract

In the version of this article initially published, the name of the PRECISE4Q Consortium was misspelled as “PRECISEQ” and has now been amended in the HTML and PDF versions of the article. Further, data in the first column of Supplementary Table 55 were mistakenly shifted and have been corrected in the file accompanying the HTML version of the article.

Published
2022

48. New insights into the genetic etiology of Alzheimer's disease and related dementias

Author

Bellenguez, C. Küçükali, F. Jansen, I.E. Kleineidam, L. Moreno-Grau, S. Amin, N. Naj, A.C. Campos-Martin, R. Grenier-Boley, B. Andrade, V. Holmans, P.A. Boland, A. Damotte, V. van der Lee, S.J. Costa, M.R. Kuulasmaa, T. Yang, Q. de Rojas, I. Bis, J.C. Yaqub, A. Prokic, I. Chapuis, J. Ahmad, S. Giedraitis, V. Aarsland, D. Garcia-Gonzalez, P. Abdelnour, C. Alarcón-Martín, E. Alcolea, D. Alegret, M. Alvarez, I. Álvarez, V. Armstrong, N.J. Tsolaki, A. Antúnez, C. Appollonio, I. Arcaro, M. Archetti, S. Pastor, A.A. Arosio, B. Athanasiu, L. Bailly, H. Banaj, N. Baquero, M. Barral, S. Beiser, A. Pastor, A.B. Below, J.E. Benchek, P. Benussi, L. Berr, C. Besse, C. Bessi, V. Binetti, G. Bizarro, A. Blesa, R. Boada, M. Boerwinkle, E. Borroni, B. Boschi, S. Bossù, P. Bråthen, G. Bressler, J. Bresner, C. Brodaty, H. Brookes, K.J. Brusco, L.I. Buiza-Rueda, D. Bûrger, K. Burholt, V. Bush, W.S. Calero, M. Cantwell, L.B. Chene, G. Chung, J. Cuccaro, M.L. Carracedo, Á. Cecchetti, R. Cervera-Carles, L. Charbonnier, C. Chen, H.-H. Chillotti, C. Ciccone, S. Claassen, J.A.H.R. Clark, C. Conti, E. Corma-Gómez, A. Costantini, E. Custodero, C. Daian, D. Dalmasso, M.C. Daniele, A. Dardiotis, E. Dartigues, J.-F. de Deyn, P.P. de Paiva Lopes, K. de Witte, L.D. Debette, S. Deckert, J. Del Ser, T. Denning, N. DeStefano, A. Dichgans, M. Diehl-Schmid, J. Diez-Fairen, M. Rossi, P.D. Djurovic, S. Duron, E. Düzel, E. Dufouil, C. Eiriksdottir, G. Engelborghs, S. Escott-Price, V. Espinosa, A. Ewers, M. Faber, K.M. Fabrizio, T. Nielsen, S.F. Fardo, D.W. Farotti, L. Fenoglio, C. Fernández-Fuertes, M. Ferrari, R. Ferreira, C.B. Ferri, E. Fin, B. Fischer, P. Fladby, T. Fließbach, K. Fongang, B. Fornage, M. Fortea, J. Foroud, T.M. Fostinelli, S. Fox, N.C. Franco-Macías, E. Bullido, M.J. Frank-García, A. Froelich, L. Fulton-Howard, B. Galimberti, D. García-Alberca, J.M. García-González, P. Garcia-Madrona, S. Garcia-Ribas, G. Ghidoni, R. Giegling, I. Giorgio, G. Goate, A.M. Goldhardt, O. Gomez-Fonseca, D. González-Pérez, A. Graff, C. Grande, G. Green, E. Grimmer, T. Grünblatt, E. Grunin, M. Gudnason, V. Guetta-Baranes, T. Haapasalo, A. Hadjigeorgiou, G. Haines, J.L. Hamilton-Nelson, K.L. Hampel, H. Hanon, O. Hardy, J. Hartmann, A.M. Hausner, L. Harwood, J. Heilmann-Heimbach, S. Helisalmi, S. Heneka, M.T. Hernández, I. Herrmann, M.J. Hoffmann, P. Holmes, C. Holstege, H. Vilas, R.H. Hulsman, M. Humphrey, J. Biessels, G.J. Jian, X. Johansson, C. Jun, G.R. Kastumata, Y. Kauwe, J. Kehoe, P.G. Kilander, L. Ståhlbom, A.K. Kivipelto, M. Koivisto, A. Kornhuber, J. Kosmidis, M.H. Kukull, W.A. Kuksa, P.P. Kunkle, B.W. Kuzma, A.B. Lage, C. Laukka, E.J. Launer, L. Lauria, A. Lee, C.-Y. Lehtisalo, J. Lerch, O. Lleó, A. Longstreth, W., Jr Lopez, O. de Munain, A.L. Love, S. Löwemark, M. Luckcuck, L. Lunetta, K.L. Ma, Y. Macías, J. MacLeod, C.A. Maier, W. Mangialasche, F. Spallazzi, M. Marquié, M. Marshall, R. Martin, E.R. Montes, A.M. Rodríguez, C.M. Masullo, C. Mayeux, R. Mead, S. Mecocci, P. Medina, M. Meggy, A. Mehrabian, S. Mendoza, S. Menéndez-González, M. Mir, P. Moebus, S. Mol, M. Molina-Porcel, L. Montrreal, L. Morelli, L. Moreno, F. Morgan, K. Mosley, T. Nöthen, M.M. Muchnik, C. Mukherjee, S. Nacmias, B. Ngandu, T. Nicolas, G. Nordestgaard, B.G. Olaso, R. Orellana, A. Orsini, M. Ortega, G. Padovani, A. Paolo, C. Papenberg, G. Parnetti, L. Pasquier, F. Pastor, P. Peloso, G. Pérez-Cordón, A. Pérez-Tur, J. Pericard, P. Peters, O. Pijnenburg, Y.A.L. Pineda, J.A. Piñol-Ripoll, G. Pisanu, C. Polak, T. Popp, J. Posthuma, D. Priller, J. Puerta, R. Quenez, O. Quintela, I. Thomassen, J.Q. Rábano, A. Rainero, I. Rajabli, F. Ramakers, I. Real, L.M. Reinders, M.J.T. Reitz, C. Reyes-Dumeyer, D. Ridge, P. Riedel-Heller, S. Riederer, P. Roberto, N. Rodriguez-Rodriguez, E. Rongve, A. Allende, I.R. Rosende-Roca, M. Royo, J.L. Rubino, E. Rujescu, D. Sáez, M.E. Sakka, P. Saltvedt, I. Sanabria, Á. Sánchez-Arjona, M.B. Sanchez-Garcia, F. Juan, P.S. Sánchez-Valle, R. Sando, S.B. Sarnowski, C. Satizabal, C.L. Scamosci, M. Scarmeas, N. Scarpini, E. Scheltens, P. Scherbaum, N. Scherer, M. Schmid, M. Schneider, A. Schott, J.M. Selbæk, G. Seripa, D. Serrano, M. Sha, J. Shadrin, A.A. Skrobot, O. Slifer, S. Snijders, G.J.L. Soininen, H. Solfrizzi, V. Solomon, A. Song, Y. Sorbi, S. Sotolongo-Grau, O. Spalletta, G. Spottke, A. Squassina, A. Stordal, E. Tartan, J.P. Tárraga, L. Tesí, N. Thalamuthu, A. Thomas, T. Tosto, G. Traykov, L. Tremolizzo, L. Tybjærg-Hansen, A. Uitterlinden, A. Ullgren, A. Ulstein, I. Valero, S. Valladares, O. Broeckhoven, C.V. Vance, J. Vardarajan, B.N. van der Lugt, A. Dongen, J.V. van Rooij, J. van Swieten, J. Vandenberghe, R. Verhey, F. Vidal, J.-S. Vogelgsang, J. Vyhnalek, M. Wagner, M. Wallon, D. Wang, L.-S. Wang, R. Weinhold, L. Wiltfang, J. Windle, G. Woods, B. Yannakoulia, M. Zare, H. Zhao, Y. Zhang, X. Zhu, C. Zulaica, M. Farrer, L.A. Psaty, B.M. Ghanbari, M. Raj, T. Sachdev, P. Mather, K. Jessen, F. Ikram, M.A. de Mendonça, A. Hort, J. Tsolaki, M. Pericak-Vance, M.A. Amouyel, P. Williams, J. Frikke-Schmidt, R. Clarimon, J. Deleuze, J.-F. Rossi, G. Seshadri, S. Andreassen, O.A. Ingelsson, M. Hiltunen, M. Sleegers, K. Schellenberg, G.D. van Duijn, C.M. Sims, R. van der Flier, W.M. Ruiz, A. Ramirez, A. Lambert, J.-C. EADB GR@ACE DEGESCO EADI GERAD Demgene FinnGen ADGC CHARGE

Abstract

Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele. © 2022. The Author(s).

Published
2022

49. Association of heat shock proteins with all-cause mortality

Author

Broer, L., Demerath, E. W., Garcia, M. E., Homuth, G., Kaplan, R. C., Lunetta, K. L., Tanaka, T., Tranah, G. J., Walter, S., Arnold, A. M., Atzmon, G., Harris, T. B., Hoffmann, W., Karasik, D., Kiel, D. P., Kocher, T., Launer, L. J., Lohman, K. K., Rotter, J. I., Tiemeier, H., Uitterlinden, A. G., Wallaschofski, H., Bandinelli, S., Dörr, M., Ferrucci, L., Franceschini, N., Gudnason, V., Hofman, A., Liu, Y., Murabito, J. M., Newman, A. B., Oostra, B. A., Psaty, B. M., Smith, A. V., and van Duijn, C. M.

Published
2013
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50. Publisher Correction:Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author

Surendran, P, Feofanova, EV, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, AV, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Velez Edwards, DR, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, De Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, I, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, YV, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, AI, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Davey Smith, G, Boer, RAD, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, MI, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, JI, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, Van der Harst, P, Van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, DI, Levy, D, Newton-Cheh, C, Munroe, PB, Howson, JMM, and United Kingdom Research and Innovation

Subjects
Genetics & Heredity, Understanding Society Scientific Group, Science & Technology, business.industry, Published Erratum, Million Veteran Program, MEDLINE, Computational biology, 06 Biological Sciences, Biology, Blood pressure, Text mining, Meta-analysis, EPIC-InterAct, Genetics, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, business, Life Sciences & Biomedicine, EPIC-CVD, 11 Medical and Health Sciences, LifeLines Cohort Study, Developmental Biology
Abstract

In the version of this article originally published, the e-mail address of corresponding author Patricia B. Munroe was incorrect. The error has been corrected in the HTML and PDF versions of the article.

Published
2021
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