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1. Correction: Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.

Author: Liang, J, Le, TH, Velez Edwards, DR, Tayo, BO, Gaulton, KJ, Smith, JA, Lu, Y, Jensen, RA, Chen, G, Yanek, LR, Schwander, K, Tajuddin, SM, Sofer, T, Kim, W, Kayima, J, McKenzie, CA, Fox, E, Nalls, MA, Young, JH, Sun, YV, Lane, JM, Cechova, S, Zhou, J, Tang, H, Fornage, M, Musani, SK, Wang, H, Lee, J, Adeyemo, A, Dreisbach, AW, Forrester, T, Chu, P-L, Cappola, A, Evans, MK, Morrison, AC, Martin, LW, Wiggins, KL, Hui, Q, Zhao, W, Jackson, RD, Ware, EB, Faul, JD, Reiner, AP, Bray, M, Denny, JC, Mosley, TH, Palmas, W, Guo, X, Papanicolaou, GJ, Penman, AD, Polak, JF, Rice, K, Taylor, KD, Boerwinkle, E, Bottinger, EP, Liu, K, Risch, N, Hunt, SC, Kooperberg, C, Zonderman, AB, Laurie, CC, Becker, DM, Cai, J, Loos, RJF, Psaty, BM, Weir, DR, Kardia, SLR, Arnett, DK, Won, S, Edwards, TL, Redline, S, Cooper, RS, Rao, DC, Rotter, JI, Rotimi, C, Levy, D, Chakravarti, A, Zhu, X, and Franceschini, N
Abstract: [This corrects the article DOI: 10.1371/journal.pgen.1006728.].
Published: 2018

2. Genetics of coronary artery calcification among African Americans, a meta-analysis

Author: Wojczynski, MK, Li, M, Bielak, LF, Kerr, KF, Reiner, AP, Wong, ND, Yanek, LR, Qu, L, White, CC, Lange, LA, Ferguson, JF, He, J, Young, T, Mosley, TH, Smith, JA, Kral, BG, Guo, X, Wong, Q, Ganesh, SK, Heckbert, SR, Griswold, ME, O'Leary, DH, Budoff, M, Carr, JJ, Taylor, HA, Bluemke, DA, Demissie, S, Hwang, SJ, Paltoo, DN, Polak, JF, Psaty, BM, Becker, DM, Province, MA, Post, WS, O'Donnell, CJ, Wilson, JG, Harris, TB, Kavousi, M, Cupples, LA, Rotter, JI, Fornage, M, Becker, LC, Peyser, PA, Borecki, IB, and Reilly, MP
Abstract: Background: Coronary heart disease (CHD) is the major cause of death in the United States. Coronary artery calcification (CAC) scores are independent predictors of CHD. African Americans (AA) have higher rates of CHD but are less well-studied in genomic studies. We assembled the largest AA data resource currently available with measured CAC to identify associated genetic variants.Methods: We analyzed log transformed CAC quantity (ln(CAC + 1)), for association with ~2.5 million single nucleotide polymorphisms (SNPs) and performed an inverse-variance weighted meta-analysis on results for 5,823 AA from 8 studies. Heritability was calculated using family studies. The most significant SNPs among AAs were evaluated in European Ancestry (EA) CAC data; conversely, the significance of published SNPs for CAC/CHD in EA was queried within our AA meta-analysis.Results: Heritability of CAC was lower in AA (~30%) than previously reported for EA (~50%). No SNP reached genome wide significance (p < 5E-08). Of 67 SNPs with p < 1E-05 in AA there was no evidence of association in EA CAC data. Four SNPs in regions previously implicated in CAC/CHD (at 9p21 and PHACTR1) in EA reached nominal significance for CAC in AA, with concordant direction. Among AA, rs16905644 (p = 4.08E-05) had the strongest association in the 9p21 region.Conclusions: While we observed substantial heritability for CAC in AA, we failed to identify loci for CAC at genome-wide significant levels despite having adequate power to detect alleles with moderate to large effects. Although suggestive signals in AA were apparent at 9p21 and additional CAC and CAD EA loci, overall the data suggest that even larger samples and an ethnic specific focus will be required for GWAS discoveries for CAC in AA populations. © 2013 Wojczynski et al.; licensee BioMed Central Ltd.
Published: 2013

3. Genome-wide meta-analyses of smoking behaviors in African Americans.

Author: David, SP, Hamidovic, A, Chen, GK, Bergen, AW, Wessel, J, Kasberger, JL, Brown, WM, Petruzella, S, Thacker, EL, Kim, Y, Nalls, MA, Tranah, GJ, Sung, YJ, Ambrosone, CB, Arnett, D, Bandera, EV, Becker, DM, Becker, L, Berndt, SI, Bernstein, L, Blot, WJ, Broeckel, U, Buxbaum, SG, Caporaso, N, Casey, G, Chanock, SJ, Deming, SL, Diver, WR, Eaton, CB, Evans, DS, Evans, MK, Fornage, M, Franceschini, N, Harris, TB, Henderson, BE, Hernandez, DG, Hitsman, B, Hu, JJ, Hunt, SC, Ingles, SA, John, EM, Kittles, R, Kolb, S, Kolonel, LN, Le Marchand, L, Liu, Y, Lohman, KK, McKnight, B, Millikan, RC, Murphy, A, Neslund-Dudas, C, Nyante, S, Press, M, Psaty, BM, Rao, DC, Redline, S, Rodriguez-Gil, JL, Rybicki, BA, Signorello, LB, Singleton, AB, Smoller, J, Snively, B, Spring, B, Stanford, JL, Strom, SS, Swan, GE, Taylor, KD, Thun, MJ, Wilson, AF, Witte, JS, Yamamura, Y, Yanek, LR, Yu, K, Zheng, W, Ziegler, RG, Zonderman, AB, Jorgenson, E, Haiman, CA, and Furberg, H
Subjects: Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 15, Humans, Genetic Predisposition to Disease, Proteoglycans, Receptors, Nicotinic, Nerve Tissue Proteins, Smoking, Genotype, Phenotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, African Americans, Female, Male, Statistics as Topic, Genetic Variation, Genome-Wide Association Study, Genetic Loci, African American, genome-wide association, health disparities, nicotine, smoking, tobacco, Chromosomes, Human, Pair 10, Pair 15, Polymorphism, Single Nucleotide, Receptors, Nicotinic, Clinical Sciences, Public Health and Health Services, Psychology
Abstract: The identification and exploration of genetic loci that influence smoking behaviors have been conducted primarily in populations of the European ancestry. Here we report results of the first genome-wide association study meta-analysis of smoking behavior in African Americans in the Study of Tobacco in Minority Populations Genetics Consortium (n = 32,389). We identified one non-coding single-nucleotide polymorphism (SNP; rs2036527[A]) on chromosome 15q25.1 associated with smoking quantity (cigarettes per day), which exceeded genome-wide significance (β = 0.040, s.e. = 0.007, P = 1.84 × 10(-8)). This variant is present in the 5'-distal enhancer region of the CHRNA5 gene and defines the primary index signal reported in studies of the European ancestry. No other SNP reached genome-wide significance for smoking initiation (SI, ever vs never smoking), age of SI, or smoking cessation (SC, former vs current smoking). Informative associations that approached genome-wide significance included three modestly correlated variants, at 15q25.1 within PSMA4, CHRNA5 and CHRNA3 for smoking quantity, which are associated with a second signal previously reported in studies in European ancestry populations, and a signal represented by three SNPs in the SPOCK2 gene on chr10q22.1. The association at 15q25.1 confirms this region as an important susceptibility locus for smoking quantity in men and women of African ancestry. Larger studies will be needed to validate the suggestive loci that did not reach genome-wide significance and further elucidate the contribution of genetic variation to disparities in cigarette consumption, SC and smoking-attributable disease between African Americans and European Americans.
Published: 2012

4. Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations

Author: Temprano-Sagrera, G, Sitlani, CM, Bone, WP, Martin-Bornez, M, Voight, BF, Morrison, AC, Damrauer, SM, de Vries, PS, Smith, NL, Sabater-Lleal, M, Krupinksi, J, Dehghan, A, Heath, AS, Reiner, AP, Johnson, A, Richmond, A, Peters, A, van Hylckama Vlieg, A, McKnight, B, Psaty, BM, Hayward, C, Ward-Caviness, C, O’Donnell, C, Chasman, D, Strachan, DP, Tregouet, DA, Mook-Kanamori, D, Gill, D, Thibord, F, Asselbergs, FW, Leebeek, FWG, Rosendaal, FR, Davies, G, Homuth, G, Temprano, G, Campbell, H, Taylor, HA, Bressler, J, Huffman, JE, Rotter, JI, Yao, J, Wilson, JF, Bis, JC, Hahn, JM, Desch, KC, Wiggins, KL, Raffield, LM, Bielak, LF, Yanek, LR, Kleber, ME, Mueller, M, Kavousi, M, Mangino, M, Liu, M, Brown, MR, Conomos, MP, Jhun, MA, Chen, MH, de Maat, MPM, Pankratz, N, Peyser, PA, Elliot, P, Wei, P, Wild, PS, Morange, PE, van der Harst, P, Yang, Q, Le, NQ, Marioni, R, Li, R, Cox, SR, Trompet, S, Felix, SB, Völker, U, Tang, W, Koenig, W, Jukema, JW, Guo, X, Lindstrom, S, Wang, L, Smith, EN, Gordon, W, de Andrade, M, Brody, JA, Pattee, JW, Haessler, J, Brumpton, BM, Chasman, DI, Suchon, P, Turman, C, Germain, M, MacDonald, J, Braekkan, SK, Armasu, SM, Temprano-Sagrera, G, Sitlani, CM, Bone, WP, Martin-Bornez, M, Voight, BF, Morrison, AC, Damrauer, SM, de Vries, PS, Smith, NL, Sabater-Lleal, M, Krupinksi, J, Dehghan, A, Heath, AS, Reiner, AP, Johnson, A, Richmond, A, Peters, A, van Hylckama Vlieg, A, McKnight, B, Psaty, BM, Hayward, C, Ward-Caviness, C, O’Donnell, C, Chasman, D, Strachan, DP, Tregouet, DA, Mook-Kanamori, D, Gill, D, Thibord, F, Asselbergs, FW, Leebeek, FWG, Rosendaal, FR, Davies, G, Homuth, G, Temprano, G, Campbell, H, Taylor, HA, Bressler, J, Huffman, JE, Rotter, JI, Yao, J, Wilson, JF, Bis, JC, Hahn, JM, Desch, KC, Wiggins, KL, Raffield, LM, Bielak, LF, Yanek, LR, Kleber, ME, Mueller, M, Kavousi, M, Mangino, M, Liu, M, Brown, MR, Conomos, MP, Jhun, MA, Chen, MH, de Maat, MPM, Pankratz, N, Peyser, PA, Elliot, P, Wei, P, Wild, PS, Morange, PE, van der Harst, P, Yang, Q, Le, NQ, Marioni, R, Li, R, Cox, SR, Trompet, S, Felix, SB, Völker, U, Tang, W, Koenig, W, Jukema, JW, Guo, X, Lindstrom, S, Wang, L, Smith, EN, Gordon, W, de Andrade, M, Brody, JA, Pattee, JW, Haessler, J, Brumpton, BM, Chasman, DI, Suchon, P, Turman, C, Germain, M, MacDonald, J, Braekkan, SK, and Armasu, SM
Abstract: Background: Multi-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes. Objectives: To discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events. Methods: Summary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen activator inhibitor 1 [PAI-1]) and three major cardiovascular (CV) events (venous thromboembolism [VTE], coronary artery disease [CAD], ischemic stroke [IS]), were combined in 27 multi-trait combinations using metaUSAT. Genetic correlations between phenotypes were calculated using Linkage Disequilibrium Score Regression (LDSC). Newly associated loci were investigated for colocalization. We considered a significance threshold of 1.85 × 10−9 obtained after applying Bonferroni correction for the number of multi-trait combinations performed (n = 27). Results: Across the 27 multi-trait analyses, we found 4 novel pleiotropic loci (XXYLT1, KNG1, SUGP1/MAU2, TBL2/MLXIPL) that were not significant in the original individual datasets, were not described in previous GWAS for the individual traits, and that presented a common associated variant between the studied phenotypes. Conclusions: The discovery of four novel loci contributes to the understanding of the relationship between hemostasis and CV events and elucidate common genetic factors between these traits.
Published: 2022

5. Obesity Partially Mediates the Diabetogenic Effect of Lowering LDL Cholesterol

Author: Universitat Rovira i Virgili, Wu P; Moon JY; Daghlas I; Franco G; Porneala BC; Ahmadizar F; Richardson TG; Isaksen JL; Hindy G; Yao J; Sitlani CM; Raffield LM; Yanek LR; Feitosa MF; Cuadrat RRC; Qi Q; Ikram MA; Ellervik C; Ericson U; Goodarzi MO; Brody JA; Lange L; Mercader JM; Vaidya D; An P; Schulze MB; Masana L; Ghanbari M; Olesen MS; Cai J; Guo X; Floyd JS; Jager S; Province MA; Kalyani RR; Psaty BM; Orho-Melander M; Ridker PM; Kanters JK; Uitterlinden A; Smith GD; Gill D; Kaplan RC; Kavousi M; Raghavan S; Chasman DI; Rotter JI; Meigs JB; Florez JC; Dupuis J; Liu CT; Merino J, Universitat Rovira i Virgili, and Wu P; Moon JY; Daghlas I; Franco G; Porneala BC; Ahmadizar F; Richardson TG; Isaksen JL; Hindy G; Yao J; Sitlani CM; Raffield LM; Yanek LR; Feitosa MF; Cuadrat RRC; Qi Q; Ikram MA; Ellervik C; Ericson U; Goodarzi MO; Brody JA; Lange L; Mercader JM; Vaidya D; An P; Schulze MB; Masana L; Ghanbari M; Olesen MS; Cai J; Guo X; Floyd JS; Jager S; Province MA; Kalyani RR; Psaty BM; Orho-Melander M; Ridker PM; Kanters JK; Uitterlinden A; Smith GD; Gill D; Kaplan RC; Kavousi M; Raghavan S; Chasman DI; Rotter JI; Meigs JB; Florez JC; Dupuis J; Liu CT; Merino J
Abstract: OBJECTIVE LDL cholesterol (LDLc)-lowering drugs modestly increase body weight and type 2 diabetes risk, but the extent to which the diabetogenic effect of lowering LDLc is mediated through increased BMI is unknown. RESEARCH DESIGN AND METHODS We conducted summary-level univariable and multivariable Mendelian randomization (MR) analyses in 921,908 participants to investigate the effect of lowering LDLc on type 2 diabetes risk and the proportion of this effect mediated through BMI. We used data from 92,532 participants from 14 observational studies to replicate findings in individual-level MR analyses. RESULTS A 1-SD decrease in genetically predicted LDLc was associated with increased type 2 diabetes odds (odds ratio [OR] 1.12 [95% CI 1.01, 1.24]) and BMI (b 5 0.07 SD units [95% CI 0.02, 0.12]) in univariable MR analyses. The multivariable MR analysis showed evidence of an indirect effect of lowering LDLc on type 2 diabetes through BMI (OR 1.04 [95% CI 1.01, 1.08]) with a proportion mediated of 38% of the total effect (P 5 0.03). Total and indirect effect estimates were similar across a number of sensitivity analyses. Individual-level MR analyses confirmed the indirect effect of lowering LDLc on type 2 diabetes through BMI with an estimated proportion mediated of 8% (P 5 0.04). CONCLUSIONS These findings suggest that the diabetogenic effect attributed to lowering LDLc is partially mediated through increased BMI. Our results could help advance understanding of adipose tissue and lipids in type 2 diabetes pathophysiology and inform strategies to reduce diabetes risk among individuals taking LDLc-lowering medications.
Published: 2022

6. Elucidating mechanisms of genetic cross-disease associations at the PROCR vascular disease locus (vol 13, 1222, 2022)

Author: Stacey, D, Chen, LY, Stanczyk, PJ, Howson, JMM, Mason, AM, Burgess, S, MacDonald, S, Langdown, J, McKinney, H, Downes, K, Farahi, N, Peters, JE, Basu, S, Pankow, JS, Tang, WH, Pankratz, N, Sabater-Lleal, M, de Vries, PS, Smith, NL, Dehghan, A, Heath, AS, Morrison, AC, Reiner, AP, Johnson, A, Richmond, A, Peters, A, Vlieg, AV, McKnight, B, Psaty, BM, Hayward, C, Ward-Caviness, C, O'Donnell, C, Chasman, D, Strachan, DP, Tregouet, DA, Mook-Kanamori, D, Gill, D, Thibord, F, Asselbergs, FW, Leebeek, FWG, Rosendaal, FR, Davies, G, Homuth, G, Temprano, G, Campbell, H, Taylor, HA, Bressler, J, Huffman, JE, Rotter, JI, Yao, J, Wilson, JF, Bis, JC, Hahn, JM, Desch, KC, Wiggins, KL, Raffield, LM, Bielak, LF, Yanek, LR, Kleber, ME, Mueller, M, Kavousi, M, Mangino, M, Conomos, MP, Liu, ML, Brown, MR, Jhun, MA, Chen, MH, de Maat, MPM, Peyser, PA, Elliot, P, Wei, P, Wild, PS, Morange, PE, van der Harst, P, Yang, Q, Le, NQ, Marioni, R, Li, RF, Damrauer, SM, Cox, SR, Trompet, S, Felix, SB, Volker, U, Koenig, W, Jukema, JW, Guo, XQ, Gelinas, AD, Schneider, DJ, Janjic, N, Samani, NJ, Ye, S, Summers, C, Chilvers, ER, Danesh, J, and Paul, DS
Published: 2022

7. Cerebral small vessel disease genomics and its implications across the lifespan

Author: Sargurupremraj M, Suzuki H, Jian X, Sarnowski C, Evans TE, Bis JC, Eiriksdottir G, Sakaue S,Terzikhan N, Habes M, Zhao W, Armstrong NJ, Hofer E, Yanek LR, Hagenaars SP, KumarRB, van den Akker EB, McWhirter RE, Trompet S, Mishra A, Saba Y, Satizabal CL, BeaudetG, Petit L, Tsuchida A, Zago L, Schilling S, Sigurdsson S, Gottesman RF, Lewis CE, AggarwalNT, Lopez OL, Smith JA, Valdés Hernández MC
Published: 2020
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8. Cerebral small vessel disease genomics and its implications across the lifespan

Author: Sargurupremraj, M, Suzuki, H, Jian, X, Sarnowski, C, Evans, TE, Bis, JC, Eiriksdottir, G, Sakaue, S, Terzikhan, N, Habes, M, Zhao, W, Armstrong, NJ, Hofer, E, Yanek, LR, Hagenaars, SP, Kumar, RB, van den Akker, EB, McWhirter, RE, Trompet, S, Mishra, A, Saba, Y, Satizabal, CL, Beaudet, G, Petit, L, Tsuchida, A, Zago, L, Schilling, S, Sigurdsson, S, Gottesman, RF, Lewis, CE, Aggarwal, NT, Lopez, OL, Smith, JA, Valdés Hernández, MC, van der Grond, J, Wright, MJ, Knol, MJ, Dörr, M, Thomson, RJ, Bordes, C, Le Grand, Q, Duperron, MG, Smith, AV, Knopman, DS, Schreiner, PJ, Evans, DA, Rotter, JI, Beiser, AS, Maniega, SM, Beekman, M, Trollor, J, Stott, DJ, Vernooij, MW, Wittfeld, K, Niessen, WJ, Soumaré, A, Boerwinkle, E, Sidney, S, Turner, ST, Davies, G, Thalamuthu, A, Völker, U, van Buchem, MA, Bryan, RN, Dupuis, J, Bastin, ME, Ames, D, Teumer, A, Amouyel, P, Kwok, JB, Bülow, R, Deary, IJ, Schofield, PR, Brodaty, H, Jiang, J, Tabara, Y, Setoh, K, Miyamoto, S, Yoshida, K, Nagata, M, Kamatani, Y, Matsuda, F, Psaty, BM, Bennett, DA, De Jager, PL, Mosley, TH, Sachdev, PS, Schmidt, R, Warren, HR, Evangelou, E, Trégouët, DA, de Andrade, M, Basu, S, Berr, C, Brody, JA, Chasman, DI, Dartigues, JF, Folsom, AR, Germain, M, Sargurupremraj, M, Suzuki, H, Jian, X, Sarnowski, C, Evans, TE, Bis, JC, Eiriksdottir, G, Sakaue, S, Terzikhan, N, Habes, M, Zhao, W, Armstrong, NJ, Hofer, E, Yanek, LR, Hagenaars, SP, Kumar, RB, van den Akker, EB, McWhirter, RE, Trompet, S, Mishra, A, Saba, Y, Satizabal, CL, Beaudet, G, Petit, L, Tsuchida, A, Zago, L, Schilling, S, Sigurdsson, S, Gottesman, RF, Lewis, CE, Aggarwal, NT, Lopez, OL, Smith, JA, Valdés Hernández, MC, van der Grond, J, Wright, MJ, Knol, MJ, Dörr, M, Thomson, RJ, Bordes, C, Le Grand, Q, Duperron, MG, Smith, AV, Knopman, DS, Schreiner, PJ, Evans, DA, Rotter, JI, Beiser, AS, Maniega, SM, Beekman, M, Trollor, J, Stott, DJ, Vernooij, MW, Wittfeld, K, Niessen, WJ, Soumaré, A, Boerwinkle, E, Sidney, S, Turner, ST, Davies, G, Thalamuthu, A, Völker, U, van Buchem, MA, Bryan, RN, Dupuis, J, Bastin, ME, Ames, D, Teumer, A, Amouyel, P, Kwok, JB, Bülow, R, Deary, IJ, Schofield, PR, Brodaty, H, Jiang, J, Tabara, Y, Setoh, K, Miyamoto, S, Yoshida, K, Nagata, M, Kamatani, Y, Matsuda, F, Psaty, BM, Bennett, DA, De Jager, PL, Mosley, TH, Sachdev, PS, Schmidt, R, Warren, HR, Evangelou, E, Trégouët, DA, de Andrade, M, Basu, S, Berr, C, Brody, JA, Chasman, DI, Dartigues, JF, Folsom, AR, and Germain, M
Abstract: White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5×10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.
Published: 2020

9. Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium

Author: Hahn, J, Fu, Y P, Brown, MR, Bis, JCM, Vries, PS, Feitosa, MF, Yanek, LR, Weiss, S, Giulianini, F, Smith, AV, Guo, X, Bartz, TM, Becker, DM, Becker, LC, Boerwinkle, E, Brody, JA, Chen, YD, Franco Duran, OH, Grove, M, Harris, TB, Hofman, Bert, Hwang, SJ, Kral, BG, Launer, LJ (Lenore), Markus, MRP, Rice, KM, Rich, SS, Ridker, PM, Rivadeneira, Fernando, Rotter, JI, Sotoodehnia, N, Taylor, KD, Uitterlinden, André, Völker, U, Völzke, H, Yao, J, Chasman, DI, Dörr, M, Gudnason, V, Mathias, RA, Post, W, Psaty, BM, Dehghan, Abbas, O’Donnell, CJ, Morrison, AC, Hahn, J, Fu, Y P, Brown, MR, Bis, JCM, Vries, PS, Feitosa, MF, Yanek, LR, Weiss, S, Giulianini, F, Smith, AV, Guo, X, Bartz, TM, Becker, DM, Becker, LC, Boerwinkle, E, Brody, JA, Chen, YD, Franco Duran, OH, Grove, M, Harris, TB, Hofman, Bert, Hwang, SJ, Kral, BG, Launer, LJ (Lenore), Markus, MRP, Rice, KM, Rich, SS, Ridker, PM, Rivadeneira, Fernando, Rotter, JI, Sotoodehnia, N, Taylor, KD, Uitterlinden, André, Völker, U, Völzke, H, Yao, J, Chasman, DI, Dörr, M, Gudnason, V, Mathias, RA, Post, W, Psaty, BM, Dehghan, Abbas, O’Donnell, CJ, and Morrison, AC
Published: 2020

10. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Author: Feitosa, MF, Kraja, AT, Chasman, DI, Sung, YJ, Winkler, TW, Ntalla, I, Guo, X, Franceschini, N, Cheng, CY, Sim, X, Vojinovic, D, Marten, J, Musani, SK, Li, C, Bentley, AR, Brown, MR, Schwander, K, Richard, MA, Noordam, R, Aschard, H, Bartz, TM, Bielak, LF, Dorajoo, R, Fisher, V, Hartwig, FP, Horimoto, ARVR, Lohman, KK, Manning, AK, Rankinen, T, Smith, AV, Tajuddin, SM, Wojczynski, MK, Alver, M, Boissel, M, Cai, Q, Campbell, A, Chai, JF, Chen, X, Divers, J, Gao, C, Goel, A, Hagemeijer, Y, Harris, SE, He, M, Hsu, FC, Jackson, AU, Kähönen, M, Kasturiratne, A, Komulainen, P, Kühnel, B, Laguzzi, F, Luan, J, Matoba, N, Nolte, IM, Padmanabhan, S, Riaz, M, Rueedi, R, Robino, A, Said, MA, Scott, RA, Sofer, T, Stančáková, A, Takeuchi, F, Tayo, BO, Van Der Most, PJ, Varga, TV, Vitart, V, Wang, Y, Ware, EB, Warren, HR, Weiss, S, Wen, W, Yanek, LR, Zhang, W, Zhao, JH, Afaq, S, Amin, N, Amini, M, Arking, DE, Aung, T, and Boerwinkle, E
Abstract: © 2018 Public Library of Science. All Rights Reserved. Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3, 514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 × 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2, 159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 × 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 × 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.
Published: 2018
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11. A genome-wide association study identifies genetic loci associated with specific lobar brain volumes.

Author: van der Lee, SJ, Knol, MJ, Chauhan, G, Satizabal, CL, Smith, AV, Hofer, E, Bis, JC, Hibar, DP, Hilal, S, van den Akker, EB, Arfanakis, K, Bernard, M, Yanek, LR, Amin, N, Crivello, F, Cheung, JW, Harris, TB, Saba, Y, Lopez, OL, Li, S, van der Grond, J, Yu, L, Paus, T, Roshchupkin, GV, Amouyel, P, Jahanshad, N, Taylor, KD, Yang, Q, Mathias, RA, Boehringer, S, Mazoyer, B, Rice, K, Cheng, CY, Maillard, P, van Heemst, D, Wong, TY, Niessen, WJ, Beiser, AS, Beekman, M, Zhao, W, Nyquist, PA, Chen, C, Launer, LJ, Psaty, BM, Ikram, MK, Vernooij, MW, Schmidt, H, Pausova, Z, Becker, DM, De Jager, PL, Thompson, PM, van Duijn, CM, Bennett, DA, Slagboom, PE, Schmidt, R, Longstreth, WT, Ikram, MA, Seshadri, S, Debette, S, Gudnason, V, Adams, HHH, DeCarli, C, van der Lee, SJ, Knol, MJ, Chauhan, G, Satizabal, CL, Smith, AV, Hofer, E, Bis, JC, Hibar, DP, Hilal, S, van den Akker, EB, Arfanakis, K, Bernard, M, Yanek, LR, Amin, N, Crivello, F, Cheung, JW, Harris, TB, Saba, Y, Lopez, OL, Li, S, van der Grond, J, Yu, L, Paus, T, Roshchupkin, GV, Amouyel, P, Jahanshad, N, Taylor, KD, Yang, Q, Mathias, RA, Boehringer, S, Mazoyer, B, Rice, K, Cheng, CY, Maillard, P, van Heemst, D, Wong, TY, Niessen, WJ, Beiser, AS, Beekman, M, Zhao, W, Nyquist, PA, Chen, C, Launer, LJ, Psaty, BM, Ikram, MK, Vernooij, MW, Schmidt, H, Pausova, Z, Becker, DM, De Jager, PL, Thompson, PM, van Duijn, CM, Bennett, DA, Slagboom, PE, Schmidt, R, Longstreth, WT, Ikram, MA, Seshadri, S, Debette, S, Gudnason, V, Adams, HHH, and DeCarli, C
Abstract: Brain lobar volumes are heritable but genetic studies are limited. We performed genome-wide association studies of frontal, occipital, parietal and temporal lobe volumes in 16,016 individuals, and replicated our findings in 8,789 individuals. We identified six genetic loci associated with specific lobar volumes independent of intracranial volume. Two loci, associated with occipital (6q22.32) and temporal lobe volume (12q14.3), were previously reported to associate with intracranial and hippocampal volume, respectively. We identified four loci previously unknown to affect brain volumes: 3q24 for parietal lobe volume, and 1q22, 4p16.3 and 14q23.1 for occipital lobe volume. The associated variants were located in regions enriched for histone modifications (DAAM1 and THBS3), or close to genes causing Mendelian brain-related diseases (ZIC4 and FGFRL1). No genetic overlap between lobar volumes and neurological or psychiatric diseases was observed. Our findings reveal part of the complex genetics underlying brain development and suggest a role for regulatory regions in determining brain volumes.
Published: 2019

12. Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease

Author: Ward-Caviness, CK, de Vries, PS, Wiggins, KL, Huffman, JE, Yanek, LR, Bielak, LF, Vries, PS, Uitterlinden, André, de Maat, Moniek, Trompet, S, Peters, A, Morrison, AC, Ward-Caviness, CK, de Vries, PS, Wiggins, KL, Huffman, JE, Yanek, LR, Bielak, LF, Vries, PS, Uitterlinden, André, de Maat, Moniek, Trompet, S, Peters, A, and Morrison, AC
Published: 2019

13. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Author: Kilpelainen, TO, Bentley, AR, Noordam, R, Sung, YJ, Schwander, K, Winkler, TW, Jakupovic, H, Chasman, DI, Manning, A, Ntalla, I, Aschard, H, Brown, MR, de Las Fuentes, L, Franceschini, N, Guo, XQ, Vojinovic, Dina, Aslibekyan, S, Feitosa, MF, Kho, M, Musani, SK, Richard, M, Wang, HM, Wang, Z, Bartz, TM, Bielak, LF, Campbell, A (Archie), Dorajoo, R, Fisher, V, Hartwig, FP, Horimoto, A, Li, CW, Lohman, KK, Marten, J, Sim, XL, Smith, AV, Tajuddin, S M, Alver, M, Amini, M, Boissel, M, Chai, JF, Chen, X, Divers, J, Evangelou, E, Gao, C, Graff, M, Harris, SE, He, MA, Hsu, FC, Jackson, AU, Zhao, JH, Kraja, AT, Kuhnel, B, Laguzzi, F, Lyytikainen, LP, Nolte, IM, Rauramaa, R, Riaz, M, Robino, A, Rueedi, R, Stringham, HM, Takeuchi, F, van der Most, PJ, Varga, TV, Verweij, N, Ware, EB, Wen, WQ, Li, X Y, Yanek, LR, Amin, Najaf, Arnett, DK, Boerwinkle, E, Brumat, M, Cade, B, Canouil, M, Chen, YDI, Concas, MP, Connell, J, de Mutsert, R, de Silva, HJ, de Vries, PS, Demirkan, Ayse, Ding, JZ (Jing Zhong), Eaton, CB, Faul, JD, Friedlander, Y, Gabriel, KP, Ghanbari, Mohsen, Giulianini, F, Gu, CC, Gu, DF, Harris, TB, He, J, Heikkinen, S, Heng, CK, Hunt, SC, Ikram, Arfan, Jonas, JB, Koh, WP, Komulainen, P, Krieger, JE, Kritchevsky, SB, Kutalik, Z, Kuusisto, J, Langefeld, CD, Langenberg, C, Launer, LJ, Leander, K, Lemaitre, RN, Lewis, CE, Liang, JJ, Alizadeh, BZ, Boezen, HM, Franke, L, Navis, G, Rots, M, Swertz, M, Wolffenbuttel, BHR, Wijmenga, C, Liu, JJ, Maagi, R, Manichaikul, A, Meitinger, T, Metspalu, A, Milaneschi, Y, Mohlke, KL, Mosley, TH, Murray, AD, Nalls, MA, Nang, EEK, Nelson, CP, Nona, S, Norris, JM, Nwuba, CV, O'Connell, J, Palmer, ND, Papanicolau, GJ, Pazoki, R, Pedersen, NL, Peters, A, Peyser, PA, Polasek, O, Porteous, DJ, Poveda, A, Raitakari, OT, Rich, SS, Risch, N, Robinson, JG, Rose, LM, Rudan, I, Schreiner, PJ, Scott, RA, Sidney, SS, Sims, M, Smith, JA, Snieder, H, Sofer, T, Starr, JM, Sternfeld, B, Strauch, K, Tang, H, Taylor, KD, Tsai, MY, Tuomilehto, J, Uitterlinden, André, van der Ende, MY, van Heemst, D, Voortman, Trudy, Waldenberger, M, Wennberg, P, Wilson, G, Xiang, YB, Yao, J, Yu, CZ, Yuan, JM, Zhao, W, Zonderman, AB, Becker, DM, Boehnke, M, Bowden, DW, de Faire, U, Deary, IJ, Elliott, P, Esko, T, Freedman, BI, Froguel, P, Gasparini, P, Gieger, C, Kato, N, Laakso, M, Lakka, TA, Lehtimaki, T, Magnusson, PKE, Oldehinkel, AJ, Penninx, B, Samani, NJ, Shu, XO, van der Harst, P, van Vliet-Ostaptchouk, JV, Vollenweider, P, Wagenknecht, LE, Wang, YX, Wareham, NJ, Weir, DR, Wu, TC, Zheng, W, Zhu, XF, Evans, MK, Franks, PW, Gudnason, V, Hayward, C, Horta, BL, Kelly, TN, Liu, YM, North, KE, Pereira, AC, Ridker, PM, Tai, ES, van Dam, RM, Fox, ER, Kardia, SLR, Liu, CT, Mook, Dennis, Province, MA, Redline, S, Duijn, Cornelia, Rotter, JI, Kooperberg, CB, Gauderman, WJ, Psaty, BM, Rice, K, Munroe, PB, Fornage, M, Cupples, LA, Rotimi, CN, Morrison, AC, Rao, DC, Loos, RJF, Kilpelainen, TO, Bentley, AR, Noordam, R, Sung, YJ, Schwander, K, Winkler, TW, Jakupovic, H, Chasman, DI, Manning, A, Ntalla, I, Aschard, H, Brown, MR, de Las Fuentes, L, Franceschini, N, Guo, XQ, Vojinovic, Dina, Aslibekyan, S, Feitosa, MF, Kho, M, Musani, SK, Richard, M, Wang, HM, Wang, Z, Bartz, TM, Bielak, LF, Campbell, A (Archie), Dorajoo, R, Fisher, V, Hartwig, FP, Horimoto, A, Li, CW, Lohman, KK, Marten, J, Sim, XL, Smith, AV, Tajuddin, S M, Alver, M, Amini, M, Boissel, M, Chai, JF, Chen, X, Divers, J, Evangelou, E, Gao, C, Graff, M, Harris, SE, He, MA, Hsu, FC, Jackson, AU, Zhao, JH, Kraja, AT, Kuhnel, B, Laguzzi, F, Lyytikainen, LP, Nolte, IM, Rauramaa, R, Riaz, M, Robino, A, Rueedi, R, Stringham, HM, Takeuchi, F, van der Most, PJ, Varga, TV, Verweij, N, Ware, EB, Wen, WQ, Li, X Y, Yanek, LR, Amin, Najaf, Arnett, DK, Boerwinkle, E, Brumat, M, Cade, B, Canouil, M, Chen, YDI, Concas, MP, Connell, J, de Mutsert, R, de Silva, HJ, de Vries, PS, Demirkan, Ayse, Ding, JZ (Jing Zhong), Eaton, CB, Faul, JD, Friedlander, Y, Gabriel, KP, Ghanbari, Mohsen, Giulianini, F, Gu, CC, Gu, DF, Harris, TB, He, J, Heikkinen, S, Heng, CK, Hunt, SC, Ikram, Arfan, Jonas, JB, Koh, WP, Komulainen, P, Krieger, JE, Kritchevsky, SB, Kutalik, Z, Kuusisto, J, Langefeld, CD, Langenberg, C, Launer, LJ, Leander, K, Lemaitre, RN, Lewis, CE, Liang, JJ, Alizadeh, BZ, Boezen, HM, Franke, L, Navis, G, Rots, M, Swertz, M, Wolffenbuttel, BHR, Wijmenga, C, Liu, JJ, Maagi, R, Manichaikul, A, Meitinger, T, Metspalu, A, Milaneschi, Y, Mohlke, KL, Mosley, TH, Murray, AD, Nalls, MA, Nang, EEK, Nelson, CP, Nona, S, Norris, JM, Nwuba, CV, O'Connell, J, Palmer, ND, Papanicolau, GJ, Pazoki, R, Pedersen, NL, Peters, A, Peyser, PA, Polasek, O, Porteous, DJ, Poveda, A, Raitakari, OT, Rich, SS, Risch, N, Robinson, JG, Rose, LM, Rudan, I, Schreiner, PJ, Scott, RA, Sidney, SS, Sims, M, Smith, JA, Snieder, H, Sofer, T, Starr, JM, Sternfeld, B, Strauch, K, Tang, H, Taylor, KD, Tsai, MY, Tuomilehto, J, Uitterlinden, André, van der Ende, MY, van Heemst, D, Voortman, Trudy, Waldenberger, M, Wennberg, P, Wilson, G, Xiang, YB, Yao, J, Yu, CZ, Yuan, JM, Zhao, W, Zonderman, AB, Becker, DM, Boehnke, M, Bowden, DW, de Faire, U, Deary, IJ, Elliott, P, Esko, T, Freedman, BI, Froguel, P, Gasparini, P, Gieger, C, Kato, N, Laakso, M, Lakka, TA, Lehtimaki, T, Magnusson, PKE, Oldehinkel, AJ, Penninx, B, Samani, NJ, Shu, XO, van der Harst, P, van Vliet-Ostaptchouk, JV, Vollenweider, P, Wagenknecht, LE, Wang, YX, Wareham, NJ, Weir, DR, Wu, TC, Zheng, W, Zhu, XF, Evans, MK, Franks, PW, Gudnason, V, Hayward, C, Horta, BL, Kelly, TN, Liu, YM, North, KE, Pereira, AC, Ridker, PM, Tai, ES, van Dam, RM, Fox, ER, Kardia, SLR, Liu, CT, Mook, Dennis, Province, MA, Redline, S, Duijn, Cornelia, Rotter, JI, Kooperberg, CB, Gauderman, WJ, Psaty, BM, Rice, K, Munroe, PB, Fornage, M, Cupples, LA, Rotimi, CN, Morrison, AC, Rao, DC, and Loos, RJF
Published: 2019

14. Causal effect of plasminogen activator inhibitor type 1 on coronary heart disease

Author: Song, C, Burgess, S, Eicher, JD, O'Donnell, CJ, Johnson, AD, Huang, J, Sabater-Lleal, M, Asselbergs, FW, Tregouet, D, Shin, SY, Ding, J, Baumert, J, Oudot-Mellakh, T, Folkersen, L, Smith, NL, Williams, SM, Ikram, MA, Kleber, ME, Becker, DM, Truong, V, Mychaleckyj, JC, Tang, W, Yang, Q, Sennblad, B, Moore, JH, Williams, FMK, Dehghan, A, Silbernagel, G, Schrijvers, EMC, Smith, S, Karakas, M, Tofler, GH, Silveira, A, Navis, GJ, Lohman, K, Chen, MH, Peters, A, Goel, A, Hopewell, JC, Chambers, JC, Saleheen, D, Lundmark, P, Psaty, BM, Strawbridge, RJ, Boehm, BO, Carter, AM, Meisinger, C, Peden, JF, Bis, JC, McKnight, B, Öhrvik, J, Taylor, K, Franzosi, MG, Seedorf, U, Collins, R, Franco-Cereceda, A, Syvänen, AC, Goodall, AH, Yanek, LR, Cushman, M, Müller-Nurasyid, M, Folsom, AR, Basu, S, Matijevic, N, Van Gilst, WH, Kooner, JS, Danesh, J, Clarke, R, Meigs, JB, Kathiresan, S, Reilly, MP, Klopp, N, Harris, TB, Winkelmann, BR, Grant, PJ, Hillege, HL, Watkins, H, Spector, TD, Becker, LC, Tracy, RP, März, W, Uitterlinden, AG, Eriksson, P, Cambien, F, Morange, PE, Koenig, W, Soranzo, N, Van der Harst, P, Liu, Y, Hamsten, A, Ehret, GB, Munroe, PB, Rice, KM, Bochud, M, Chasman, DI, Smith, AV, Epidemiology, Internal Medicine, Radiology & Nuclear Medicine, Virology, Clinical Genetics, Obstetrics & Gynecology, and Gastroenterology & Hepatology
Subjects: 0301 basic medicine, Blood Glucose, Aging, Cardiac & Cardiovascular Systems, Epidemiology, medicine.medical_treatment, Genome-wide association study, Coronary Disease, Review, Coronary Artery Disease, 030204 cardiovascular system & hematology, Cardiorespiratory Medicine and Haematology, Cardiovascular, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, single nucleotide polymorphism, GENETIC-VARIANTS, Odds Ratio, ARTERY-DISEASE, METABOLIC SYNDROME, genome‐wide association study, INSULIN-RESISTANCE, education.field_of_study, Systematic Review and Meta‐Analysis, Fibrinolysis, Incidence, Mendelian Randomization Analysis, Single Nucleotide, C-REACTIVE PROTEIN, 3. Good health, Observational Studies as Topic, plasminogen activator inhibitor type 1, Heart Disease, CARDIOVASCULAR-DISEASE, Plasminogen activator inhibitor-1, Cardiology, Cardiology and Cardiovascular Medicine, Risk assessment, Lipoproteins, HDL, Life Sciences & Biomedicine, medicine.medical_specialty, HDL, Lipoproteins, Population, Polymorphism, Single Nucleotide, Risk Assessment, 03 medical and health sciences, Genetic, Association Studies, Clinical Research, Internal medicine, Mendelian randomization, Plasminogen Activator Inhibitor 1, Journal Article, medicine, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Polymorphism, coronary heart disease, education, Heart Disease - Coronary Heart Disease, Science & Technology, genome-wide association study, business.industry, coronary heart disease ■ genome‐wide association study ■ Mendelian randomization ■ plasminogen activator inhibitor type 1 ■ single nucleotide polymorphism, Odds ratio, SUMMARIZED DATA, 030104 developmental biology, Endocrinology, MYOCARDIAL-INFARCTION, chemistry, Multivariate Analysis, Cardiovascular System & Cardiology, business, Biomarkers, Genome-Wide Association Study
Abstract: Background Plasminogen activator inhibitor type 1 ( PAI ‐1) plays an essential role in the fibrinolysis system and thrombosis. Population studies have reported that blood PAI ‐1 levels are associated with increased risk of coronary heart disease ( CHD ). However, it is unclear whether the association reflects a causal influence of PAI ‐1 on CHD risk. Methods and Results To evaluate the association between PAI ‐1 and CHD , we applied a 3‐step strategy. First, we investigated the observational association between PAI ‐1 and CHD incidence using a systematic review based on a literature search for PAI ‐1 and CHD studies. Second, we explored the causal association between PAI ‐1 and CHD using a Mendelian randomization approach using summary statistics from large genome‐wide association studies. Finally, we explored the causal effect of PAI ‐1 on cardiovascular risk factors including metabolic and subclinical atherosclerosis measures. In the systematic meta‐analysis, the highest quantile of blood PAI ‐1 level was associated with higher CHD risk comparing with the lowest quantile (odds ratio=2.17; 95% CI: 1.53, 3.07) in an age‐ and sex‐adjusted model. The effect size was reduced in studies using a multivariable‐adjusted model (odds ratio=1.46; 95% CI : 1.13, 1.88). The Mendelian randomization analyses suggested a causal effect of increased PAI ‐1 level on CHD risk (odds ratio=1.22 per unit increase of log‐transformed PAI ‐1; 95% CI : 1.01, 1.47). In addition, we also detected a causal effect of PAI ‐1 on elevating blood glucose and high‐density lipoprotein cholesterol. Conclusions Our study indicates a causal effect of elevated PAI ‐1 level on CHD risk, which may be mediated by glucose dysfunction.
Published: 2017

15. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African ancestry anthropometry genetics consortium

Author: Ng, MCY, Graff, M, Lu, Y, Justice, AE, Mudgal, P, Liu, CT, Young, K, Yanek, LR, Feitosa, MF, Wojczynski, MK, Rand, K, Brody, JA, Cade, BE, Dimitrov, L, Duan, Q, Guo, X, Lange, LA, Nalls, MA, Okut, H, Tajuddin, SM, Tayo, BO, Vedantam, S, Bradfield, JP, Chen, G, Chen, WM, Chesi, A, Irvin, MR, Padhukasahasram, B, Smith, JA, Zheng, W, Allison, MA, Ambrosone, CB, Bandera, EV, Bartz, TM, Berndt, SI, Bernstein, L, Blot, WJ, Bottinger, EP, Carpten, J, Chanock, SJ, Chen, YDI, Conti, DV, Cooper, RS, Fornage, M, Freedman, BI, Garcia, M, Goodman, PJ, Hsu, YHH, Hu, J, Huff, CD, Ingles, SA, John, EM, Kittles, R, Klein, E, Li, J, McKnight, B, Nayak, U, Nemesure, B, Ogunniyi, A, Olshan, A, Press, MF, Rohde, R, Rybicki, BA, Salako, B, Sanderson, M, Shao, Y, Siscovick, DS, Stanford, JL, Stevens, VL, Stram, A, Strom, SS, Vaidya, D, Witte, JS, Yao, J, Zhu, X, Ziegler, RG, Zonderman, AB, Adeyemo, A, Ambs, S, Cushman, M, Faul, JD, Hakonarson, H, Levin, AM, Nathanson, KL, and Ware, EB
Abstract: © 2017 Public Library of Science. All rights reserved. Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMIfrom the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMIand eight previously established loci at P < 5×10−8: seven for BMI, and one for WHRadjBMIin African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMIwhen combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI(SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (
Published: 2017
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16. Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume

Author: Vojinovic, D, Adams, HH, Jian, X, Yang, Q, Smith, AV, Bis, JC, Teumer, A, Scholz, M, Armstrong, NJ, Hofer, E, Saba, Y, Luciano, M, Bernard, M, Trompet, S, Yang, J, Gillespie, NA, van der Lee, SJ, Neumann, A, Ahmad, S, Andreassen, OA, Ames, D, Amin, N, Arfanakis, K, Bastin, ME, Becker, DM, Beiser, AS, Beyer, F, Brodaty, H, Bryan, RN, Bülow, R, Dale, AM, De Jager, PL, Deary, IJ, DeCarli, C, Fleischman, DA, Gottesman, RF, van der Grond, J, Gudnason, V, Harris, TB, Homuth, G, Knopman, DS, Kwok, JB, Lewis, CE, Li, S, Loeffler, M, Lopez, OL, Maillard, P, El Marroun, H, Mather, KA, Mosley, TH, Muetzel, RL, Nauck, M, Nyquist, PA, Panizzon, MS, Pausova, Z, Psaty, BM, Rice, K, Rotter, JI, Royle, N, Satizabal, CL, Schmidt, R, Schofield, PR, Schreiner, PJ, Sidney, S, Stott, DJ, Thalamuthu, A, Uitterlinden, AG, Valdés Hernández, MC, Vernooij, MW, Wen, W, White, T, Witte, AV, Wittfeld, K, Wright, MJ, Yanek, LR, Tiemeier, H, Kremen, WS, Bennett, DA, Jukema, JW, Paus, T, Wardlaw, JM, Schmidt, H, Sachdev, PS, Villringer, A, Grabe, HJ, Longstreth, WT, van Duijn, CM, Launer, LJ, Seshadri, S, Ikram, MA, Fornage, M, Vojinovic, D, Adams, HH, Jian, X, Yang, Q, Smith, AV, Bis, JC, Teumer, A, Scholz, M, Armstrong, NJ, Hofer, E, Saba, Y, Luciano, M, Bernard, M, Trompet, S, Yang, J, Gillespie, NA, van der Lee, SJ, Neumann, A, Ahmad, S, Andreassen, OA, Ames, D, Amin, N, Arfanakis, K, Bastin, ME, Becker, DM, Beiser, AS, Beyer, F, Brodaty, H, Bryan, RN, Bülow, R, Dale, AM, De Jager, PL, Deary, IJ, DeCarli, C, Fleischman, DA, Gottesman, RF, van der Grond, J, Gudnason, V, Harris, TB, Homuth, G, Knopman, DS, Kwok, JB, Lewis, CE, Li, S, Loeffler, M, Lopez, OL, Maillard, P, El Marroun, H, Mather, KA, Mosley, TH, Muetzel, RL, Nauck, M, Nyquist, PA, Panizzon, MS, Pausova, Z, Psaty, BM, Rice, K, Rotter, JI, Royle, N, Satizabal, CL, Schmidt, R, Schofield, PR, Schreiner, PJ, Sidney, S, Stott, DJ, Thalamuthu, A, Uitterlinden, AG, Valdés Hernández, MC, Vernooij, MW, Wen, W, White, T, Witte, AV, Wittfeld, K, Wright, MJ, Yanek, LR, Tiemeier, H, Kremen, WS, Bennett, DA, Jukema, JW, Paus, T, Wardlaw, JM, Schmidt, H, Sachdev, PS, Villringer, A, Grabe, HJ, Longstreth, WT, van Duijn, CM, Launer, LJ, Seshadri, S, Ikram, MA, and Fornage, M
Abstract: The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (?genetic = -0.59, p-value = 3.14 × 10-6), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.
Published: 2018

17. Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume

Author: Vojinovic, Dina, Adams, Hieab, Jian, XQ, Yang, Q, Smith, AV, Bis, JC, Teumer, A, Scholz, M, Armstrong, NJ, Hofer, E, Saba, Y, Luciano, M, Bernard, M, Trompet, S, Yang, JY, Gillespie, NA, van der Lee, Sven, Neumann, Alexander, Ahmad, Shahzad, Andreassen, OA, Ames, D, Amin, Najaf, Arfanakis, K, Bastin, ME, Becker, DM, Beiser, AS, Beyer, F, Brodaty, H, Bryan, RN, Bulow, R, Dale, AM, De Jager, PL, Deary, IJ, DeCarli, C, Fleischman, DA, Gottesman, RF, van der Grond, J, Gudnason, V, Harris, TB, Homuth, G, Knopman, DS, Kwok, JB, Lewis, CE, Li, S, Loeffler, M, Lopez, OL, Maillard, P, El Marroun, Hanan, Mather, KA, Mosley, TH, Muetzel, Ryan, Nauck, M, Nyquist, PA, Panizzon, MS, Pausova, Z, Psaty, BM, Rice, K, Rotter, JI, Royle, N, Satizabal, CL, Schmidt, R, Schofield, PR, Schreiner, PJ, Sidney, S, Stott, DJ, Thalamuthu, A, Uitterlinden, André, Hernandez, MCV, Vernooij, Meike, Wen, W, White, Tonya, Witte, AV, Wittfeld, K, Wright, MJ, Yanek, LR, Tiemeier, Henning, Kremen, WS, Bennett, DA, Jukema, JW, Paus, T, Wardlaw, JM, Schmidt, H, Sachdev, PS, Villringer, A, Grabe, HJ, Longstreth, WT, Duijn, Cornelia, Launer, LJ, Seshadri, S, Ikram, Arfan, Fornage, M, Vojinovic, Dina, Adams, Hieab, Jian, XQ, Yang, Q, Smith, AV, Bis, JC, Teumer, A, Scholz, M, Armstrong, NJ, Hofer, E, Saba, Y, Luciano, M, Bernard, M, Trompet, S, Yang, JY, Gillespie, NA, van der Lee, Sven, Neumann, Alexander, Ahmad, Shahzad, Andreassen, OA, Ames, D, Amin, Najaf, Arfanakis, K, Bastin, ME, Becker, DM, Beiser, AS, Beyer, F, Brodaty, H, Bryan, RN, Bulow, R, Dale, AM, De Jager, PL, Deary, IJ, DeCarli, C, Fleischman, DA, Gottesman, RF, van der Grond, J, Gudnason, V, Harris, TB, Homuth, G, Knopman, DS, Kwok, JB, Lewis, CE, Li, S, Loeffler, M, Lopez, OL, Maillard, P, El Marroun, Hanan, Mather, KA, Mosley, TH, Muetzel, Ryan, Nauck, M, Nyquist, PA, Panizzon, MS, Pausova, Z, Psaty, BM, Rice, K, Rotter, JI, Royle, N, Satizabal, CL, Schmidt, R, Schofield, PR, Schreiner, PJ, Sidney, S, Stott, DJ, Thalamuthu, A, Uitterlinden, André, Hernandez, MCV, Vernooij, Meike, Wen, W, White, Tonya, Witte, AV, Wittfeld, K, Wright, MJ, Yanek, LR, Tiemeier, Henning, Kremen, WS, Bennett, DA, Jukema, JW, Paus, T, Wardlaw, JM, Schmidt, H, Sachdev, PS, Villringer, A, Grabe, HJ, Longstreth, WT, Duijn, Cornelia, Launer, LJ, Seshadri, S, Ikram, Arfan, and Fornage, M
Abstract: The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (?genetic?=?-0.59, p-value?=?3.14?×?10-6), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology
Published: 2018

18. Trans-ethnic meta-analysis of white blood cell phenotypes

Author: Keller, Margaux F, Reiner, Alexander P, Okada, Yukinori, van Rooij, Frank J. A, Johnson, Andrew D, Chen, Ming Huei, Smith, Albert V, Morris, Andrew P, Tanaka, Toshiko, Ferrucci, Luigi, Zonderman, Alan B, Lettre, Guillaume, Harris, Tamara, Garcia, Melissa, Bandinelli, Stefania, Qayyum, Rehan, Yanek, Lisa R, Becker, Diane M, Becker, Lewis C, Kooperberg, Charles, Keating, Brendan, Reis, Jared, Tang, Hua, Boerwinkle, Eric, Kamatani, Yoichiro, Matsuda, Koichi, Kamatani, Naoyuki, Nakamura, Yusuke, Kubo, Michiaki, Liu, Simin, Dehghan, Abbas, Felix, Janine F, Hofman, Albert, Uitterlinden, André G, van Duijn, Cornelia M, Franco, Oscar H, Longo, Dan L, Singleton, Andrew B, Psaty, Bruce M, Evans, Michelle K, Cupples, L. Adrienne, Rotter, Jerome I, O'Donnell, Christopher J, Takahashi, Atsushi, Wilson, James G, Ganesh, Santhi K, Nalls, Mike A, Arepalli, S, Bandinelli, S, Biffi, A, Bis, Jc, Boerwinkle, E, Chakravarti, A, Chen, Mh, Chong, S, Coresh, J, Couper, Dj, Cupples, L, Dehghan, A, Do'Ring, A, Eiriksdottir, G, Felix, Jf, Ferrucci, L, Folsom, Ar, Fox, Cs, Frayling, Tm, Ganesh, Sk, Garcia, M, Garner, Sf, Gasparini, Paolo, Gieger, C, Glazer, Nl, Gouskova, Na, Greinacher, A, Gudnason, V, Harris, Tb, Hernandez, Dg, Hofman, A, Illig, T, Kamatani, Y, Kamatani, N, Kubo, M, Kuhnel, B, Lagou, V, Lettre, G, Levi, D, Lin, J, Liu, Y, Longo, Dl, Lumley, T, Mangino, M, Matsuda, K, Meisinger, C, Melzer, D, Menzel, S, Moore, M, Nakamura, Y, Nalls, Ma, Nauck, M, O'Donnell, Cj, Okada, Y, Oostra, Ba, Ouwehand, Wh, Patel, Kv, Pirastu, Nicola, Pistis, Giorgio, Prokisch, H, Prokopenko, I, Psaty, Bm, Reiner, Ap, Rendon, A, Sambrook, J, Singleton, Ab, Smith, Av, Soranzo, N, Spector, Td, Stephens, J, Stumvoll, M, Takahashi, A, Tanaka, T, Taylor, K, Teumer, A, Thein, Sl, To'Njes, A, Toniolo, D, Tsunoda, T, Uitterlinden, Ag, van Duijn CM, van Rooij FJ, Vo'Lker, U, Vo'Lzke, H, Wichmann, H., Wiggins, Kl, Wilson, Jg, Witteman, Jc, Wood, Ar, Yamamoto, K, Yang, Q, Zakai, Na, Austin, Ma, Becker, Dm, Britton, A, Chen, Z, Couper, D, Curb, J, Dean, E, Eaton, Cb, Evans, Mk, Fornage, M, Grant, Sf, Hernandez, D, Kamatini, N, Keating, Bj, Lacroix, A, Lange, La, Liu, S, Lohman, K, Mathias, R, Meng, Y, Mohler ER 3rd, Musani, S, Palmer, Cd, Papanicolaou, Gj, Snively, Bm, Tang, H, Taylor HA Jr, Thomson, C, Yanek, Lr, Yang, L, Ziv, E, Zonderman, Ab, Higasa, K, Hirota, T, Hosono, N, Kumasaka, N, Ohmiya, H, Tamari, M, Yamaguchi Kabata, Y, Yamamoto, K., Epidemiology, Medical Informatics, Urology, Erasmus MC other, Internal Medicine, Keller, Margaux F, Reiner, Alexander P, Okada, Yukinori, van Rooij, Frank J. A, Johnson, Andrew D, Chen, Ming Huei, Smith, Albert V, Morris, Andrew P, Tanaka, Toshiko, Ferrucci, Luigi, Zonderman, Alan B, Lettre, Guillaume, Harris, Tamara, Garcia, Melissa, Bandinelli, Stefania, Qayyum, Rehan, Yanek, Lisa R, Becker, Diane M, Becker, Lewis C, Kooperberg, Charle, Keating, Brendan, Reis, Jared, Tang, Hua, Boerwinkle, Eric, Kamatani, Yoichiro, Matsuda, Koichi, Kamatani, Naoyuki, Nakamura, Yusuke, Kubo, Michiaki, Liu, Simin, Dehghan, Abba, Felix, Janine F, Hofman, Albert, Uitterlinden, André G, van Duijn, Cornelia M, Franco, Oscar H, Longo, Dan L, Singleton, Andrew B, Psaty, Bruce M, Evans, Michelle K, Cupples, L. Adrienne, Rotter, Jerome I, O'Donnell, Christopher J, Takahashi, Atsushi, Wilson, James G, Ganesh, Santhi K, Nalls, Mike A, Arepalli, S, Bandinelli, S, Biffi, A, Bis, Jc, Boerwinkle, E, Chakravarti, A, Chen, Mh, Chong, S, Coresh, J, Couper, Dj, Cupples, L, Dehghan, A, Do'Ring, A, Eiriksdottir, G, Felix, Jf, Ferrucci, L, Folsom, Ar, Fox, C, Frayling, Tm, Ganesh, Sk, Garcia, M, Garner, Sf, Gasparini, Paolo, Gieger, C, Glazer, Nl, Gouskova, Na, Greinacher, A, Gudnason, V, Harris, Tb, Hernandez, Dg, Hofman, A, Illig, T, Kamatani, Y, Kamatani, N, Kubo, M, Kuhnel, B, Lagou, V, Lettre, G, Levi, D, Lin, J, Liu, Y, Longo, Dl, Lumley, T, Mangino, M, Matsuda, K, Meisinger, C, Melzer, D, Menzel, S, Moore, M, Nakamura, Y, Nalls, Ma, Nauck, M, O'Donnell, Cj, Okada, Y, Oostra, Ba, Ouwehand, Wh, Patel, Kv, Pirastu, Nicola, Pistis, Giorgio, Prokisch, H, Prokopenko, I, Psaty, Bm, Reiner, Ap, Rendon, A, Sambrook, J, Singleton, Ab, Smith, Av, Soranzo, N, Spector, Td, Stephens, J, Stumvoll, M, Takahashi, A, Tanaka, T, Taylor, K, Teumer, A, Thein, Sl, To'Njes, A, Toniolo, D, Tsunoda, T, Uitterlinden, Ag, van Duijn, Cm, van Rooij, Fj, Vo'Lker, U, Vo'Lzke, H, Wichmann, H., Wiggins, Kl, Wilson, Jg, Witteman, Jc, Wood, Ar, Yamamoto, K, Yang, Q, Zakai, Na, Austin, Ma, Becker, Dm, Britton, A, Chen, Z, Couper, D, Curb, J, Dean, E, Eaton, Cb, Evans, Mk, Fornage, M, Grant, Sf, Hernandez, D, Kamatini, N, Keating, Bj, Lacroix, A, Lange, La, Liu, S, Lohman, K, Mathias, R, Meng, Y, Mohler ER, 3rd, Musani, S, Palmer, Cd, Papanicolaou, Gj, Snively, Bm, Tang, H, Taylor HA, Jr, Thomson, C, Yanek, Lr, Yang, L, Ziv, E, Zonderman, Ab, Higasa, K, Hirota, T, Hosono, N, Kumasaka, N, Ohmiya, H, Tamari, M, Yamaguchi Kabata, Y, and Yamamoto, K.
Subjects: Linkage disequilibrium, Genotype, Quantitative Trait Loci, White blood cell count, Single-nucleotide polymorphism, Genome-wide association study, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, White People, white blood cell phenotypes, Leukocyte Count, SDG 3 - Good Health and Well-being, Asian People, Polymorphism (computer science), Genetics, Leukocytes, Humans, Allele, Molecular Biology, Genetics (clinical), White blood cell count, Trans-ethnic meta-analysis, white blood cell phenotypes, Genome, Human, Association Studies Articles, Bayes Theorem, General Medicine, Heritability, Black or African American, Phenotype, Trans-ethnic meta-analysis, Genome-Wide Association Study
Abstract: White blood cell (WBC) count is a common clinical measure used as a predictor of certain aspects of human health, including immunity and infection status. WBC count is also a complex trait that varies among individuals and ancestry groups. Differences in linkage disequilibrium structure and heterogeneity in allelic effects are expected to play a role in the associations observed between populations. Prior genome-wide association study (GWAS) meta-analyses have identified genomic loci associated with WBC and its subtypes, but much of the heritability of these phenotypes remains unexplained. Using GWAS summary statistics for over 50 000 individuals from three diverse populations (Japanese, African-American and European ancestry), a Bayesian model methodology was employed to account for heterogeneity between ancestry groups. This approach was used to perform a trans-ethnic meta-analysis of total WBC, neutrophil and monocyte counts. Ten previously known associations were replicated and six new loci were identified, including several regions harboring genes related to inflammation and immune cell function. Ninety-five percent credible interval regions were calculated to narrow the association signals and fine-map the putatively causal variants within loci. Finally, a conditional analysis was performed on the most significant SNPs identified by the trans-ethnic meta-analysis (MA), and nine secondary signals within loci previously associated with WBC or its subtypes were identified. This work illustrates the potential of trans-ethnic analysis and ascribes a critical role to multi-ethnic cohorts and consortia in exploring complex phenotypes with respect to variants that lie outside the European-biased GWAS pool.
Published: 2014

19. Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF

Author: Huffman, JE, De Vries, PS, Morrison, AC, Sabater-Lleal, M, Kacprowski, T, Auer, PL, Brody, JA, Chasman, DI, Chen, MH, Guo, X, Lin, LA, Marioni, RE, Müller-Nurasyid, M, Yanek, LR, Pankratz, N, Grove, ML, De Maat, MPM, Cushman, M, Wiggins, KL, Qi, L, Sennblad, B, Harris, SE, Polasek, O, Riess, H, Rivadeneira, F, Rose, LM, Goel, A, Taylor, KD, Teumer, A, Uitterlinden, AG, Vaidya, D, Yao, J, Tang, W, Levy, D, Waldenberger, M, Becker, DM, Folsom, AR, Giulianini, F, Greinacher, A, Hofman, A, Huang, CC, Kooperberg, C, Silveira, A, Starr, JM, Strauch, K, Strawbridge, RJ, Wright, AF, McKnight, B, Franco, OH, Zakai, N, Mathias, RA, Psaty, BM, Ridker, PM, Tofler, GH, Völker, U, Watkins, H, Fornage, M, Hamsten, A, Deary, IJ, Boerwinkle, E, Koenig, W, Rotter, JI, Hayward, C, Dehghan, A, Reiner, AP, and O'Donnell, CJ
Abstract: © 2015, American Society of Hematology. All rights reserved. Fibrinogen, coagulation factor VII (FVII), and factor VIII (FVIII) and its carrier von Willebrand factor (vWF) play key roles in hemostasis. Previously identified common variants explain only a small fraction of the trait heritabilities, and additional variations may be explained by associations with rarer variants with larger effects. The aim of this study was to identify low-frequency (minor allele frequency [MAF] ≥0.01 and
Published: 2015
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20. Directional dominance on stature and cognition in diverse human populations

Author: Joshi, PK, Esko, T, Mattsson, H, Eklund, N, Gandin, I, Nutile, T, Jackson, AU, Schurmann, C, Smith, AV, Zhang, W, Okada, Y, Stančáková, A, Faul, JD, Zhao, W, Bartz, TM, Concas, MP, Franceschini, N, Enroth, S, Vitart, V, Trompet, S, Guo, X, Chasman, DI, O'Connel, JR, Corre, T, Nongmaithem, SS, Chen, Y, Mangino, M, Ruggiero, D, Traglia, M, Farmaki, AE, Kacprowski, T, Bjonnes, A, Van Der Spek, A, Wu, Y, Giri, AK, Yanek, LR, Wang, L, Hofer, E, Rietveld, CA, McLeod, O, Cornelis, MC, Pattaro, C, Verweij, N, Baumbach, C, Abdellaoui, A, Warren, HR, Vuckovic, D, Mei, H, Bouchard, C, Perry, JRB, Cappellani, S, Mirza, SS, Benton, MC, Broeckel, U, Medland, SE, Lind, PA, Malerba, G, Drong, A, Yengo, L, Bielak, LF, Zhi, D, Van Der Most, PJ, Shriner, D, Mägi, R, Hemani, G, Karaderi, T, Wang, Z, Liu, T, Demuth, I, Zhao, JH, Meng, W, Lataniotis, L, Van Der Laan, SW, Bradfield, JP, Wood, AR, Bonnefond, A, Ahluwalia, TS, and Hall, LM
Subjects: BioBank Japan Project
Abstract: © 2015 Macmillan Publishers Limited. All rights reserved. Homozygosity has long been associated with rare, often devastating, Mendelian disorders, and Darwin was one of the first to recognize that inbreeding reduces evolutionary fitness. However, the effect of the more distant parental relatedness that is common in modern human populations is less well understood. Genomic data now allow us to investigate the effects of homozygosity on traits of public health importance by observing contiguous homozygous segments (runs of homozygosity), which are inferred to be homozygous along their complete length. Given the low levels of genome-wide homozygosity prevalent in most human populations, information is required on very large numbers of people to provide sufficient power. Here we use runs of homozygosity to study 16 health-related quantitative traits in 354,224 individuals from 102 cohorts, and find statistically significant associations between summed runs of homozygosity and four complex traits: height, forced expiratory lung volume in one second, general cognitive ability and educational attainment (P < 1 × 10-300, 2.1 × 10-6, 2.5 × 10-10 and 1.8 × 10-10, respectively). In each case, increased homozygosity was associated with decreased trait value, equivalent to the offspring of first cousins being 1.2 cm shorter and having 10 months' less education. Similar effect sizes were found across four continental groups and populations with different degrees of genome-wide homozygosity, providing evidence that homozygosity, rather than confounding, directly contributes to phenotypic variance. Contrary to earlier reports in substantially smaller samples, no evidence was seen of an influence of genome-wide homozygosity on blood pressure and low density lipoprotein cholesterol, or ten other cardio-metabolic traits. Since directional dominance is predicted for traits under directional evolutionary selection, this study provides evidence that increased stature and cognitive function have been positively selected in human evolution, whereas many important risk factors for late-onset complex diseases may not have been.
Published: 2015
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21. Novel genetic loci associated with hippocampal volume

Author: Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivieres, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Nhat, TD, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jorgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, Macare, C, Marquand, AF, Matarin, M, Mather, KA, Mattheisen, M, McKay, DR, Milaneschi, Y, Maniega, SM, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Puetz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santianez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Saemann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Tordesillas-Gutierrez, D, Toro, R, Trabzuni, D, Trompet, S, Vaidya, D, Van der Grond, J, Van der Lee, SJ, Van der Meer, D, Van Donkelaar, MMJ, Van Eijk, KR, Van Erp, TGM, Van Rooij, D, Walton, E, Westlye, LT, Whelan, CD, Windham, BG, Winkler, AM, Wittfeld, K, Woldehawariat, G, Wolf, C, Wolfers, T, Yanek, LR, Yang, J, Zijdenbos, A, Zwiers, MP, Agartz, I, Almasy, L, Ames, D, Amouyel, P, Andreassen, OA, Arepalli, S, Assareh, AA, Barral, S, Bastin, ME, Becker, DM, Becker, JT, Bennett, DA, Blangero, J, van Bokhoven, H, Boomsma, DI, Brodaty, H, Brouwer, RM, Brunner, HG, Buckner, RL, Buitelaar, JK, Bulayeva, KB, Cahn, W, Calhoun, VD, Cannon, DM, Cavalleri, GL, Cheng, C-Y, Cichon, S, Cookson, MR, Corvin, A, Crespo-Facorro, B, Curran, JE, Czisch, M, Dale, AM, Davies, GE, De Craen, AJM, De Geus, EJC, De Jager, PL, De Zubicaray, GI, Deary, IJ, Debette, S, DeCarli, C, Delanty, N, Depondt, C, DeStefano, A, Dillman, A, Djurovic, S, Donohoe, G, Drevets, WC, Duggirala, R, Dyer, TD, Enzinger, C, Erk, S, Espeseth, T, Fedko, IO, Fernandez, G, Ferrucci, L, Fisher, SE, Fleischman, DA, Ford, I, Fornage, M, Foroud, TM, Fox, PT, Francks, C, Fukunaga, M, Gibbs, JR, Glahn, DC, Gollub, RL, Goring, HHH, Green, RC, Gruber, O, Gudnason, V, Guelfi, S, Haberg, AK, Hansell, NK, Hardy, J, Hartman, CA, Hashimoto, R, Hegenscheid, K, Heinz, A, Le Hellard, S, Hernandez, DG, Heslenfeld, DJ, Ho, B-C, Hoekstra, PJ, Hoffmann, W, Hofman, A, Holsboer, F, Homuth, G, Hosten, N, Hottenga, J-J, Huentelman, M, Pol, HEH, Ikeda, M, Jack, CR, Jenkinson, M, Johnson, R, Joensson, EG, Jukema, JW, Kahn, RS, Kanai, R, Kloszewska, I, Knopman, DS, Kochunov, P, Kwok, JB, Lawrie, SM, Lemaitre, H, Liu, X, Longo, DL, Lopez, OL, Lovestone, S, Martinez, O, Martinot, J-L, Mattay, VS, McDonald, C, McIntosh, AM, McMahon, FJ, McMahon, KL, Mecocci, P, Melle, I, Meyer-Lindenberg, A, Mohnke, S, Montgomery, GW, Morris, DW, Mosley, TH, Muhleisen, TW, Mueller-Myhsok, B, Nalls, MA, Nauck, M, Nichols, TE, Niessen, WJ, Nothen, MM, Nyberg, L, Ohi, K, Olvera, RL, Ophoff, RA, Pandolfo, M, Paus, T, Pausova, Z, Penninx, BWJH, Pike, GB, Potkin, SG, Psaty, BM, Reppermund, S, Rietschel, M, Roffman, JL, Romanczuk-Seiferth, N, Rotter, JI, Ryten, M, Sacco, RL, Sachdev, PS, Saykin, AJ, Schmidt, R, Schmidt, H, Schofield, PR, Sigursson, S, Simmons, A, Singleton, A, Sisodiya, SM, Smith, C, Smoller, JW, Soininen, H, Steen, VM, Stott, DJ, Sussmann, JE, Thalamuthu, A, Toga, AW, Traynor, BJ, Troncoso, J, Tsolaki, M, Tzourio, C, Uitterlinden, AG, Hernandez, MCV, Van der Brug, M, van der Lugt, A, van der Wee, NJA, Van Haren, NEM, van't Ent, D, Van Tol, M-J, Vardarajan, BN, Vellas, B, Veltman, DJ, Voelzke, H, Walter, H, Wardlaw, JM, Wassink, TH, Weale, ME, Weinberger, DR, Weiner, MW, Wen, W, Westman, E, White, T, Wong, TY, Wright, CB, Zielke, RH, Zonderman, AB, Martin, NG, Van Duijn, CM, Wright, MJ, Longstreth, WT, Schumann, G, Grabe, HJ, Franke, B, Launer, LJ, Medland, SE, Seshadri, S, Thompson, PM, Ikram, MA, Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivieres, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Nhat, TD, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jorgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, Macare, C, Marquand, AF, Matarin, M, Mather, KA, Mattheisen, M, McKay, DR, Milaneschi, Y, Maniega, SM, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Puetz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santianez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Saemann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Tordesillas-Gutierrez, D, Toro, R, Trabzuni, D, Trompet, S, Vaidya, D, Van der Grond, J, Van der Lee, SJ, Van der Meer, D, Van Donkelaar, MMJ, Van Eijk, KR, Van Erp, TGM, Van Rooij, D, Walton, E, Westlye, LT, Whelan, CD, Windham, BG, Winkler, AM, Wittfeld, K, Woldehawariat, G, Wolf, C, Wolfers, T, Yanek, LR, Yang, J, Zijdenbos, A, Zwiers, MP, Agartz, I, Almasy, L, Ames, D, Amouyel, P, Andreassen, OA, Arepalli, S, Assareh, AA, Barral, S, Bastin, ME, Becker, DM, Becker, JT, Bennett, DA, Blangero, J, van Bokhoven, H, Boomsma, DI, Brodaty, H, Brouwer, RM, Brunner, HG, Buckner, RL, Buitelaar, JK, Bulayeva, KB, Cahn, W, Calhoun, VD, Cannon, DM, Cavalleri, GL, Cheng, C-Y, Cichon, S, Cookson, MR, Corvin, A, Crespo-Facorro, B, Curran, JE, Czisch, M, Dale, AM, Davies, GE, De Craen, AJM, De Geus, EJC, De Jager, PL, De Zubicaray, GI, Deary, IJ, Debette, S, DeCarli, C, Delanty, N, Depondt, C, DeStefano, A, Dillman, A, Djurovic, S, Donohoe, G, Drevets, WC, Duggirala, R, Dyer, TD, Enzinger, C, Erk, S, Espeseth, T, Fedko, IO, Fernandez, G, Ferrucci, L, Fisher, SE, Fleischman, DA, Ford, I, Fornage, M, Foroud, TM, Fox, PT, Francks, C, Fukunaga, M, Gibbs, JR, Glahn, DC, Gollub, RL, Goring, HHH, Green, RC, Gruber, O, Gudnason, V, Guelfi, S, Haberg, AK, Hansell, NK, Hardy, J, Hartman, CA, Hashimoto, R, Hegenscheid, K, Heinz, A, Le Hellard, S, Hernandez, DG, Heslenfeld, DJ, Ho, B-C, Hoekstra, PJ, Hoffmann, W, Hofman, A, Holsboer, F, Homuth, G, Hosten, N, Hottenga, J-J, Huentelman, M, Pol, HEH, Ikeda, M, Jack, CR, Jenkinson, M, Johnson, R, Joensson, EG, Jukema, JW, Kahn, RS, Kanai, R, Kloszewska, I, Knopman, DS, Kochunov, P, Kwok, JB, Lawrie, SM, Lemaitre, H, Liu, X, Longo, DL, Lopez, OL, Lovestone, S, Martinez, O, Martinot, J-L, Mattay, VS, McDonald, C, McIntosh, AM, McMahon, FJ, McMahon, KL, Mecocci, P, Melle, I, Meyer-Lindenberg, A, Mohnke, S, Montgomery, GW, Morris, DW, Mosley, TH, Muhleisen, TW, Mueller-Myhsok, B, Nalls, MA, Nauck, M, Nichols, TE, Niessen, WJ, Nothen, MM, Nyberg, L, Ohi, K, Olvera, RL, Ophoff, RA, Pandolfo, M, Paus, T, Pausova, Z, Penninx, BWJH, Pike, GB, Potkin, SG, Psaty, BM, Reppermund, S, Rietschel, M, Roffman, JL, Romanczuk-Seiferth, N, Rotter, JI, Ryten, M, Sacco, RL, Sachdev, PS, Saykin, AJ, Schmidt, R, Schmidt, H, Schofield, PR, Sigursson, S, Simmons, A, Singleton, A, Sisodiya, SM, Smith, C, Smoller, JW, Soininen, H, Steen, VM, Stott, DJ, Sussmann, JE, Thalamuthu, A, Toga, AW, Traynor, BJ, Troncoso, J, Tsolaki, M, Tzourio, C, Uitterlinden, AG, Hernandez, MCV, Van der Brug, M, van der Lugt, A, van der Wee, NJA, Van Haren, NEM, van't Ent, D, Van Tol, M-J, Vardarajan, BN, Vellas, B, Veltman, DJ, Voelzke, H, Walter, H, Wardlaw, JM, Wassink, TH, Weale, ME, Weinberger, DR, Weiner, MW, Wen, W, Westman, E, White, T, Wong, TY, Wright, CB, Zielke, RH, Zonderman, AB, Martin, NG, Van Duijn, CM, Wright, MJ, Longstreth, WT, Schumann, G, Grabe, HJ, Franke, B, Launer, LJ, Medland, SE, Seshadri, S, Thompson, PM, and Ikram, MA
Abstract: The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.
Published: 2017

22. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity

Author: Joshi, PK, Pirastu, N, Kentistou, KA, Fischer, K, Hofer, E, Schraut, KE, Clark, DW, Nutile, T, Barnes, CLK, Timmers, P, Shen, X, Gandin, I, McDaid, AF, Hansen, TF, Gordon, SD, Giulianini, F, Boutin, TS, Abdellaoui, A, Zhao, W, Medina-Gomez, C, Bartz, TM, Trompet, S, Lange, LA, Raffield, L, van der Spek, Ashley, Galesloot, TE, Proitsi, P, Yanek, LR, Bielak, LF, Payton, A, Murgia, F, Concas, MP, Biino, G, Tajuddin, S M, Seppala, I, Amin, Najaf, Boerwinkle, E, Borglum, AD, Campbell, A (Archie), Demerath, EW, Demuth, I, Faul, JD, Ford, I, Gialluisi, A, Gogele, M, Graff, M, Hingorani, A, Hottenga, JJ, Hougaard, DM, Hurme, MA, Ikram, Arfan, Jylha, M, Kuh, D, Ligthart, L, Lill, CM, Lindenberger, U, Lumley, T, Magi, R, Marques-Vidal, P, Medland, SE, Milani, L, Nagy, R, Ollier, WER, Peyser, PA, Pramstaller, PP, Ridker, PM, Rivadeneira, F, Ruggiero, D, Saba, Y, Schmidt, R, Schmidt, H, Slagboom, PE (Eline), Smith, BH, Smith, JA, Sotoodehnia, N, Steinhagen-Thiessen, E, van Rooij, FJA, Verbeek, AL, Vermeulen, SH, Vollenweider, P, Wang, YP, Werge, T, Whitfield, JB, Zonderman, AB, Lehtimaki, T, Evans, MK, Pirastu, M, Fuchsberger, C, Bertram, L, Pendleton, N, Kardia, SLR, Ciullo, M, Becker, DM, Wong, A, Psaty, BM, Duijn, Cornelia, Wilson, JG, Jukema, JW, Kiemeney, L, Uitterlinden, André, Franceschini, N, North, KE, Weir, DR, Metspalu, A, Boomsma, DI, Hayward, C, Chasman, D, Martin, NG, Sattar, N, Campbell, H, Esko, T, Kutalik, Z, Wilson, JF, Joshi, PK, Pirastu, N, Kentistou, KA, Fischer, K, Hofer, E, Schraut, KE, Clark, DW, Nutile, T, Barnes, CLK, Timmers, P, Shen, X, Gandin, I, McDaid, AF, Hansen, TF, Gordon, SD, Giulianini, F, Boutin, TS, Abdellaoui, A, Zhao, W, Medina-Gomez, C, Bartz, TM, Trompet, S, Lange, LA, Raffield, L, van der Spek, Ashley, Galesloot, TE, Proitsi, P, Yanek, LR, Bielak, LF, Payton, A, Murgia, F, Concas, MP, Biino, G, Tajuddin, S M, Seppala, I, Amin, Najaf, Boerwinkle, E, Borglum, AD, Campbell, A (Archie), Demerath, EW, Demuth, I, Faul, JD, Ford, I, Gialluisi, A, Gogele, M, Graff, M, Hingorani, A, Hottenga, JJ, Hougaard, DM, Hurme, MA, Ikram, Arfan, Jylha, M, Kuh, D, Ligthart, L, Lill, CM, Lindenberger, U, Lumley, T, Magi, R, Marques-Vidal, P, Medland, SE, Milani, L, Nagy, R, Ollier, WER, Peyser, PA, Pramstaller, PP, Ridker, PM, Rivadeneira, F, Ruggiero, D, Saba, Y, Schmidt, R, Schmidt, H, Slagboom, PE (Eline), Smith, BH, Smith, JA, Sotoodehnia, N, Steinhagen-Thiessen, E, van Rooij, FJA, Verbeek, AL, Vermeulen, SH, Vollenweider, P, Wang, YP, Werge, T, Whitfield, JB, Zonderman, AB, Lehtimaki, T, Evans, MK, Pirastu, M, Fuchsberger, C, Bertram, L, Pendleton, N, Kardia, SLR, Ciullo, M, Becker, DM, Wong, A, Psaty, BM, Duijn, Cornelia, Wilson, JG, Jukema, JW, Kiemeney, L, Uitterlinden, André, Franceschini, N, North, KE, Weir, DR, Metspalu, A, Boomsma, DI, Hayward, C, Chasman, D, Martin, NG, Sattar, N, Campbell, H, Esko, T, Kutalik, Z, and Wilson, JF
Published: 2017

23. Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes

Author: Ng, MCY, Shriner, D, Chen, BH, Li, J, Chen, WM, Guo, X, Liu, J, Bielinski, SJ, Yanek, LR, Nalls, MA, Comeau, ME, Rasmussen-Torvik, LJ, Jensen, RA, Evans, DS, Sun, YV, An, P, Patel, SR, Lu, Y, Long, J, Armstrong, LL, Wagenknecht, L, Yang, L, Snively, BM, Palmer, ND, Mudgal, P, Langefeld, CD, Keene, KL, Freedman, BI, Mychaleckyj, JC, Nayak, U, Raffel, LJ, Goodarzi, MO, Chen, YDI, Taylor, HA, Correa, A, Sims, M, Couper, DJ, Pankow, JS, Boerwinkle, E, Adeyemo, A, Doumatey, A, Chen, G, Mathias, RA, Vaidya, D, Singleton, AB, Zonderman, AB, Igo, RP, Sedor, JR, Zondervan, KT, Kabagambe, EK, Siscovick, DS, McKnight, B, Rice, K, Liu, Y, Hsueh, WC, Zhao, W, Bielak, LF, Kraja, A, Province, MA, Bottinger, EP, Gottesman, O, Cai, Q, Zheng, W, Blot, WJ, Lowe, WL, Pacheco, JA, Crawford, DC, Yang, TP, Wilk, A, Grundberg, E, Tsoka, S, Rich, SS, Hayes, MG, Shu, XO, and Loos, RJF
Subjects: endocrine system diseases
Abstract: © 2014. Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15×10−94
Published: 2014
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24. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Author: Wessel, J, Chu, AY, Willems, SM, Wang, S, Yaghootkar, H, Brody, JA, Dauriz, M, Hivert, MF, Raghavan, S, Lipovich, L, Hidalgo, B, Fox, K, Huffman, JE, An, P, Lu, YC, Rasmussen-Torvik, LJ, Grarup, N, Ehm, MG, Li, Li, Baldridge, AS, Stancakova, A, Abrol, R, Besse, CL, Boland, A, Bork-Jensen, J, Fornage, M, Freitag, DF, Garcia, ME, Guo, XQ, Hara, K, Isaacs, Aaron, Jakobsdottir, J, Lange, LA, Layton, JC, Li, M, Zhao, JH, Meidtner, K, Morrison, AC, Nalls, MA, Peters, Marjolein, Sabater-Lleal, M, Schurmann, C, Silveira, A, Smith, AV, Southam, L, Stoiber, MH, Strawbridge, RJ, Taylor, KD, Varga, TV, Allin, KH, Amin, Najaf, Aponte, JL, Aung, T, Barbieri, C, Bihlmeyer, NA, Boehnke, M, Bombieri, C, Bowden, DW, Burns, SM, Chen, YN, Chen, YD, Cheng, CY (Ching-Yu), Correa, A, Czajkowski, J, Dehghan, Abbas, Ehret, GB, Eiriksdottir, G, Escher, SA, Farmaki, AE, Franberg, M, Gambaro, G, Giulianini, F, Goddard, WA, Goel, A, Gottesman, O, Grove, ML, Gustafsson, S, Hai, Y, Hallmans, G, Heo, J, Hoffmann, P, Ikram, MK, Jensen, RA, Jorgensen, ME, Jorgensen, T, Karaleftheri, M, Khor, CC, Kirkpatrick, A, Kraja, AT, Kuusisto, J, Lange, Edmee, Lee, IT, Lee, WJ, Leong, A, Liao, JM, Liu, CY, Liu, YM, Lindgren, CM, Linneberg, A, Malerba, G, Mamakou, V, Marouli, E, Maruthur, NM, Matchan, A, McKean-Cowdin, R, McLeod, O, Metcalf, GA, Mohlke, KL, Muzny, DM, Ntalla, I, Palmer, ND, Pasko, D, Peter, A, Rayner, NW, Renstrom, F, Rice, K, Sala, CF, Sennblad, B, Serafetinidis, I, Smith, JA, Soranzo, N, Speliotes, EK, Stahl, EA, Stirrups, K, Tentolouris, N, Thanopoulou, A, Torres, M, Traglia, M, Tsafantakis, E, Javad, S, Yanek, LR, Zengini, E, Becker, DM, Bis, JC, Brown, JB, Cupples, LA, Hansen, T, Ingelsson, E, Karter, AJ, Lorenzo, C, Mathias, RA, Norris, JM, Peloso, GM, Sheu, WHH, Toniolo, D, Vaidya, D, Varma, R, Wagenknecht, LE, Boeing, H, Bottinger, EP, Dedoussis, G, Deloukas, P, Ferrannini, E, Franco Duran, OH, Franks, PW, Gibbs, RA, Gudnason, V, Hamsten, A, Harris, TB, Hattersley, AT, Hayward, C, Hofman, Bert, Jansson, JH, Langenberg, C, Launer, LJ (Lenore), Levy, D, Oostra, Ben, O'Donnell, CJ, O'Rahilly, S, Padmanabhan, S, Pankow, JS, Polasek, O, Province, MA, Rich, SS, Ridker, PM, Rudan, I, Schulze, MB, Smith, BH, Uitterlinden, André, Walker, M, Watkins, H, Wong, TY (Tien Yin), Zeggini, E, Laakso, M, Borecki, IB, Chasman, DI, Pedersen, O, Psaty, BM, Tai, ES, Duijn, Cornelia, Wareham, NJ, Waterworth, DM, Boerwinkle, E, Kao, WHL, Florez, JC, Loos, RJF, Wilson, JG, Frayling, TM, Siscovick, DS, Dupuis, J, Rotter, JI, Meigs, JB, Scott, RA, Goodarzi, MO, Sharp, SJ, Forouhi, NG, Kerrison, ND, Lucarelli, DM, Sims, M, Barroso, I, McCarthy, MI, Arriola, L, Balkau, B, Barricarte, A, Gonzalez, C, Grioni, S, Kaaks, R, Key, TJ, Navarro, C, Nilsson, PM, Overvad, K, Palli, D, Panico, S, Quiros, JR, Rolandsson, O, Sacerdote, C, Sanchez, MJ (Maria-Jose), Slimani, N, Tjonneland, A, Tumino, R, van der A, DL, van der Schouw, YT, Riboli, E, Wessel, J, Chu, AY, Willems, SM, Wang, S, Yaghootkar, H, Brody, JA, Dauriz, M, Hivert, MF, Raghavan, S, Lipovich, L, Hidalgo, B, Fox, K, Huffman, JE, An, P, Lu, YC, Rasmussen-Torvik, LJ, Grarup, N, Ehm, MG, Li, Li, Baldridge, AS, Stancakova, A, Abrol, R, Besse, CL, Boland, A, Bork-Jensen, J, Fornage, M, Freitag, DF, Garcia, ME, Guo, XQ, Hara, K, Isaacs, Aaron, Jakobsdottir, J, Lange, LA, Layton, JC, Li, M, Zhao, JH, Meidtner, K, Morrison, AC, Nalls, MA, Peters, Marjolein, Sabater-Lleal, M, Schurmann, C, Silveira, A, Smith, AV, Southam, L, Stoiber, MH, Strawbridge, RJ, Taylor, KD, Varga, TV, Allin, KH, Amin, Najaf, Aponte, JL, Aung, T, Barbieri, C, Bihlmeyer, NA, Boehnke, M, Bombieri, C, Bowden, DW, Burns, SM, Chen, YN, Chen, YD, Cheng, CY (Ching-Yu), Correa, A, Czajkowski, J, Dehghan, Abbas, Ehret, GB, Eiriksdottir, G, Escher, SA, Farmaki, AE, Franberg, M, Gambaro, G, Giulianini, F, Goddard, WA, Goel, A, Gottesman, O, Grove, ML, Gustafsson, S, Hai, Y, Hallmans, G, Heo, J, Hoffmann, P, Ikram, MK, Jensen, RA, Jorgensen, ME, Jorgensen, T, Karaleftheri, M, Khor, CC, Kirkpatrick, A, Kraja, AT, Kuusisto, J, Lange, Edmee, Lee, IT, Lee, WJ, Leong, A, Liao, JM, Liu, CY, Liu, YM, Lindgren, CM, Linneberg, A, Malerba, G, Mamakou, V, Marouli, E, Maruthur, NM, Matchan, A, McKean-Cowdin, R, McLeod, O, Metcalf, GA, Mohlke, KL, Muzny, DM, Ntalla, I, Palmer, ND, Pasko, D, Peter, A, Rayner, NW, Renstrom, F, Rice, K, Sala, CF, Sennblad, B, Serafetinidis, I, Smith, JA, Soranzo, N, Speliotes, EK, Stahl, EA, Stirrups, K, Tentolouris, N, Thanopoulou, A, Torres, M, Traglia, M, Tsafantakis, E, Javad, S, Yanek, LR, Zengini, E, Becker, DM, Bis, JC, Brown, JB, Cupples, LA, Hansen, T, Ingelsson, E, Karter, AJ, Lorenzo, C, Mathias, RA, Norris, JM, Peloso, GM, Sheu, WHH, Toniolo, D, Vaidya, D, Varma, R, Wagenknecht, LE, Boeing, H, Bottinger, EP, Dedoussis, G, Deloukas, P, Ferrannini, E, Franco Duran, OH, Franks, PW, Gibbs, RA, Gudnason, V, Hamsten, A, Harris, TB, Hattersley, AT, Hayward, C, Hofman, Bert, Jansson, JH, Langenberg, C, Launer, LJ (Lenore), Levy, D, Oostra, Ben, O'Donnell, CJ, O'Rahilly, S, Padmanabhan, S, Pankow, JS, Polasek, O, Province, MA, Rich, SS, Ridker, PM, Rudan, I, Schulze, MB, Smith, BH, Uitterlinden, André, Walker, M, Watkins, H, Wong, TY (Tien Yin), Zeggini, E, Laakso, M, Borecki, IB, Chasman, DI, Pedersen, O, Psaty, BM, Tai, ES, Duijn, Cornelia, Wareham, NJ, Waterworth, DM, Boerwinkle, E, Kao, WHL, Florez, JC, Loos, RJF, Wilson, JG, Frayling, TM, Siscovick, DS, Dupuis, J, Rotter, JI, Meigs, JB, Scott, RA, Goodarzi, MO, Sharp, SJ, Forouhi, NG, Kerrison, ND, Lucarelli, DM, Sims, M, Barroso, I, McCarthy, MI, Arriola, L, Balkau, B, Barricarte, A, Gonzalez, C, Grioni, S, Kaaks, R, Key, TJ, Navarro, C, Nilsson, PM, Overvad, K, Palli, D, Panico, S, Quiros, JR, Rolandsson, O, Sacerdote, C, Sanchez, MJ (Maria-Jose), Slimani, N, Tjonneland, A, Tumino, R, van der A, DL, van der Schouw, YT, and Riboli, E
Abstract: Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF = 1.4%) with lower FG (beta = -0.09 +/- 0.01 mmol l(-1), P = 3.4 x 10(-12)), T2D risk (OR[95% CI] = 0.86[0.76-0.96], P = 0.010), early insulin secretion (beta = -0.07 +/- 0.035 pmol(insulin) mmol(glucose)(-1), P = 0.048), but higher 2-h glucose (beta = 0.16 +/- 0.05 mmol l(-1), P = 4.3 x 10(-4)). We identify a gene-based association with FG at G6PC2 (p(SKAT) = 6.8 x 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF = 20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (beta = 0.02 +/- 0.004 mmol l(-1), P = 1.3 x 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
Published: 2015

25. Genome-Wide Association of Body Fat Distribution in African Ancestry Populations Suggests New Loci

Author: Liu, CT, Monda, KL, Taylor, KC, Lange, L, Demerath, EW, Palmas, W, Wojczynski, MK, Ellis, JC, Vitolins, MZ, Liu, S, Papanicolaou, GJ, Irvin, MR, Xue, L, Griffin, PJ, Nalls, MA, Adeyemo, A, Liu, J, Li, G, Ruiz-Narvaez, EA, Chen, WM, Chen, F, Henderson, BE, Millikan, RC, Ambrosone, CB, Strom, SS, Guo, X, Andrews, JS, Sun, YV, Mosley, TH, Yanek, LR, Shriner, D, Haritunians, T, Rotter, JI, Speliotes, EK, Smith, M, Rosenberg, L, Mychaleckyj, J, Nayak, U, Spruill, I, Garvey, WT, Pettaway, C, Nyante, S, Bandera, EV, Britton, AF, Zonderman, AB, Rasmussen-Torvik, LJ, Chen, YDI, Ding, J, Lohman, K, Kritchevsky, SB, Zhao, W, Peyser, PA, Kardia, SLR, Kabagambe, E, Broeckel, U, Chen, G, Zhou, J, Wassertheil-Smoller, S, Neuhouser, ML, Rampersaud, E, Psaty, B, Kooperberg, C, Manson, JAE, Kuller, LH, Ochs-Balcom, HM, Johnson, KC, Sucheston, L, Ordovas, JM, Palmer, JR, Haiman, CA, McKnight, B, Howard, BV, Becker, DM, Bielak, LF, Liu, Y, Allison, MA, Grant, SFA, Burke, GL, Patel, SR, Schreiner, PJ, Borecki, IB, Evans, MK, Taylor, H, Sale, MM, Howard, V, Carlson, CS, Rotimi, CN, Cushman, M, Harris, TB, Reiner, AP, Cupples, LA, North, KE, Fox, CS, Liu, CT, Monda, KL, Taylor, KC, Lange, L, Demerath, EW, Palmas, W, Wojczynski, MK, Ellis, JC, Vitolins, MZ, Liu, S, Papanicolaou, GJ, Irvin, MR, Xue, L, Griffin, PJ, Nalls, MA, Adeyemo, A, Liu, J, Li, G, Ruiz-Narvaez, EA, Chen, WM, Chen, F, Henderson, BE, Millikan, RC, Ambrosone, CB, Strom, SS, Guo, X, Andrews, JS, Sun, YV, Mosley, TH, Yanek, LR, Shriner, D, Haritunians, T, Rotter, JI, Speliotes, EK, Smith, M, Rosenberg, L, Mychaleckyj, J, Nayak, U, Spruill, I, Garvey, WT, Pettaway, C, Nyante, S, Bandera, EV, Britton, AF, Zonderman, AB, Rasmussen-Torvik, LJ, Chen, YDI, Ding, J, Lohman, K, Kritchevsky, SB, Zhao, W, Peyser, PA, Kardia, SLR, Kabagambe, E, Broeckel, U, Chen, G, Zhou, J, Wassertheil-Smoller, S, Neuhouser, ML, Rampersaud, E, Psaty, B, Kooperberg, C, Manson, JAE, Kuller, LH, Ochs-Balcom, HM, Johnson, KC, Sucheston, L, Ordovas, JM, Palmer, JR, Haiman, CA, McKnight, B, Howard, BV, Becker, DM, Bielak, LF, Liu, Y, Allison, MA, Grant, SFA, Burke, GL, Patel, SR, Schreiner, PJ, Borecki, IB, Evans, MK, Taylor, H, Sale, MM, Howard, V, Carlson, CS, Rotimi, CN, Cushman, M, Harris, TB, Reiner, AP, Cupples, LA, North, KE, and Fox, CS
Abstract: Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly African ancestry (AA). We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1). Overall, 25 SNPs with single genomic control (GC)-corrected p-values<5.0×10-6 were followed-up (stage 2) in AA with WC and with WHR. Additionally, we interrogated genomic regions of previously identified European ancestry (EA) WHR loci among AA. In joint analysis of association results including both Stage 1 and 2 cohorts, 2 SNPs demonstrated association, rs2075064 at LHX2, p = 2.24×10-8 for WC-adjusted-for-BMI, and rs6931262 at RREB1, p = 2.48×10-8 for WHR-adjusted-for-BMI. However, neither signal was genome-wide significant after double GC-correction (LHX2: p = 6.5×10-8; RREB1: p = 5.7×10-8). Six of fourteen previously reported loci for waist in EA populations were significant (p<0.05 divided by the number of independent SNPs within the region) in AA studied here (TBX15-WARS2, GRB14, ADAMTS9, LY86, RSPO3, ITPR2-SSPN). Further, we observed associations with metabolic traits: rs13389219 at GRB14 associated with HDL-cholesterol, triglycerides, and fasting insulin, and rs13060013 at ADAMTS9 with HDL-cholesterol and fasting insulin. Finally, we observed nominal evidence for sexual dimorphism, with stronger results in AA women at the GRB14 locus (p for interaction = 0.02). In conclusion, we identified two suggestive loci associated with fat distribution in AA populations in addition to confirming 6 loci previously identified in populations of EA. These findings reinforce the concept that there are fat distr
Published: 2013

26. Identification, replication, and fine-mapping of loci associated with adult height in individuals of African ancestry

Author: N'Diaye, A, Chen, GK, Palmer, CD, Ge, B, Tayo, B, Mathias, RA, Ding, J, Nalls, MA, Adeyemo, A, Adoue, V, Ambrosone, CB, Atwood, L, Bandera, EV, Becker, LC, Berndt, SI, Bernstein, L, Blot, WJ, Boerwinkle, E, Britton, A, Casey, G, Chanock, SJ, Demerath, E, Deming, SL, Diver, WR, Fox, C, Harris, TB, Hernandez, DG, Hu, JJ, Ingles, SA, John, EM, Johnson, C, Keating, B, Kittles, RA, Kolonel, LN, Kritchevsky, SB, Marchand, L, Lohman, K, Liu, J, Millikan, RC, Murphy, A, Musani, S, Neslund-Dudas, C, North, KE, Nyante, S, Ogunniyi, A, Ostrander, EA, Papanicolaou, G, Patel, S, Pettaway, CA, Press, MF, Redline, S, Rodriguez-Gil, JL, Rotimi, C, Rybicki, BA, Salako, B, Schreiner, PJ, Signorello, LB, Singleton, AB, Stanford, JL, Stram, AH, Stram, DO, Strom, SS, Suktitipat, B, Thun, MJ, Witte, JS, Yanek, LR, Ziegler, RG, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Evans, MK, Liu, Y, Becker, DM, Cooper, RS, Pastinen, T, Henderson, BE, Hirschhorn, JN, Lettre, G, Haiman, CA, N'Diaye, A, Chen, GK, Palmer, CD, Ge, B, Tayo, B, Mathias, RA, Ding, J, Nalls, MA, Adeyemo, A, Adoue, V, Ambrosone, CB, Atwood, L, Bandera, EV, Becker, LC, Berndt, SI, Bernstein, L, Blot, WJ, Boerwinkle, E, Britton, A, Casey, G, Chanock, SJ, Demerath, E, Deming, SL, Diver, WR, Fox, C, Harris, TB, Hernandez, DG, Hu, JJ, Ingles, SA, John, EM, Johnson, C, Keating, B, Kittles, RA, Kolonel, LN, Kritchevsky, SB, Marchand, L, Lohman, K, Liu, J, Millikan, RC, Murphy, A, Musani, S, Neslund-Dudas, C, North, KE, Nyante, S, Ogunniyi, A, Ostrander, EA, Papanicolaou, G, Patel, S, Pettaway, CA, Press, MF, Redline, S, Rodriguez-Gil, JL, Rotimi, C, Rybicki, BA, Salako, B, Schreiner, PJ, Signorello, LB, Singleton, AB, Stanford, JL, Stram, AH, Stram, DO, Strom, SS, Suktitipat, B, Thun, MJ, Witte, JS, Yanek, LR, Ziegler, RG, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Evans, MK, Liu, Y, Becker, DM, Cooper, RS, Pastinen, T, Henderson, BE, Hirschhorn, JN, Lettre, G, and Haiman, CA
Abstract: Adult height is a classic polygenic trait of high heritability (h 2 ~0.8). More than 180 single nucleotide polymorphisms (SNPs), identified mostly in populations of European descent, are associated with height. These variants convey modest effects and explain ~10% of the variance in height. Discovery efforts in other populations, while limited, have revealed loci for height not previously implicated in individuals of European ancestry. Here, we performed a meta-analysis of genome-wide association (GWA) results for adult height in 20,427 individuals of African ancestry with replication in up to 16,436 African Americans. We found two novel height loci (Xp22-rs12393627, P = 3.4×10 -12 and 2p14-rs4315565, P = 1.2×10 -8). As a group, height associations discovered in European-ancestry samples replicate in individuals of African ancestry (P = 1.7×10 -4 for overall replication). Fine-mapping of the European height loci in African-ancestry individuals showed an enrichment of SNPs that are associated with expression of nearby genes when compared to the index European height SNPs (P<0.01). Our results highlight the utility of genetic studies in non-European populations to understand the etiology of complex human diseases and traits. © 2011 N'Diaye et al.
Published: 2011

27. Sustainability of a multiple risk factor intervention on cardiovascular disease in high-risk African American families.

Author: Cene CW, Yanek LR, Moy TF, Levine DM, Becker LC, and Becker DM
Published: 2008

28. Heritability of platelet responsiveness to aspirin in activation pathways directly and indirectly related to cyclooxygenase-1.

Author: Faraday N, Yanek LR, Mathias R, Herrera-Galeano JE, Vaidya D, Moy TF, Fallin MD, Wilson AF, Bray PF, Becker LC, and Becker DM
Published: 2007

29. Interaction of body mass index and Framingham Risk Score in predicting incident coronary disease in families.

Author: Mora S, Yanek LR, Moy TF, Fallin MD, Becker LC, and Becker DM
Published: 2005

30. Detecting occult coronary disease in a high-risk asymptomatic population.

Author: Blumenthal RS, Becker DM, Yanek LR, Aversano TR, Moy TF, Kral BG, Becker LC, Blumenthal, Roger S, Becker, Diane M, Yanek, Lisa R, Aversano, Thomas R, Moy, Taryn F, Kral, Brian G, and Becker, Lewis C
Published: 2003

31. Research and professional briefs. Comparison of food frequency and dietary recall methods in African-American women.

Author: Yanek LR, Moy TF, and Becker DM
Published: 2001
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32. Project Joy: faith based cardiovascular health promotion for African American women.

Author: Yanek LR, Becker DM, Moy TF, Gittelsohn J, and Koffman DM
Abstract: OBJECTIVE: The authors tested the impact on cardiovascular risk profiles of African American women ages 40 years and older after one year of participation in one of three church-based nutrition and physical activity strategies: a standard behavioral group intervention, the standard intervention supplemented with spiritual strategies, or self-help strategies. METHODS: Women were screened at baseline and after one year of participation. The authors analyzed intention-to-treat within group and between groups using a generalized estimating equations adjustment for intra-church clustering. Because spiritual strategies were added to the standard intervention by participants themselves, the results from both active groups were similar and, thus, combined for comparisons with the self-help group. RESULTS: A total of 529 women from 16 churches enrolled. Intervention participants exhibited significant improvements in body weight (-1.1 lbs), waist circumference (-0.66 inches), systolic blood pressure (-1.6 mmHg), dietary energy (-117 kcal), dietary total fat (-8 g), and sodium intake (-145 mg). The self-help group did not. In the active intervention group, women in the top decile for weight loss at one year had even larger, clinically meaningful changes in risk outcomes (-19.8 lbs). CONCLUSIONS: Intervention participants achieved clinically important improvements in cardiovascular disease risk profiles one year after program initiation, which did not occur in the self-help group. Church-based interventions can significantly benefit the cardiovascular health of African American women. [ABSTRACT FROM AUTHOR]
Published: 2001
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33. Comparison of the effectiveness of a telephone 24-hour dietary recall method vs an in-person method among urban African-American women.

Author: Yanek LR, Moy TF, Raqueño JV, and Becker DM
Published: 2000
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34. Prevalence of hypercholesterolemia among siblings of persons with premature coronary heart disease. Application of the Second Adult Treatment Panel guidelines.

Author: Allen JK, Young DR, Blumenthal RS, Moy TF, Yanek LR, Wilder L, Becker LC, and Becker DM
Abstract: BACKGROUND: Increased blood cholesterol, specifically high low-density lipoprotein cholesterol, increases risk for coronary heart disease (CHD). Persons with a positive family history of premature CHD also are at markedly increased risk. OBJECTIVE: To examine the prevalence of hypercholesterolemia based on the second report of the National Cholesterol Educational Program Adult Treatment Panel (ATP II) guidelines in the asymptomatic healthy siblings of people with premature CHD. METHODS: A total of 668 asymptomatic healthy siblings (354 men and 314 women) underwent screening for risk factors for CHD. Siblings were categorized into treatment categories for primary prevention defined by ATP II. The percentage who were candidates for intervention were compared with the published national estimates for those without CHD from the third National Health and Nutrition Examination Survey (NHANES III). RESULTS: Based on ATP II guidelines, 65% of the asymptomatic adult siblings required fasting lipoprotein analysis compared with 33% of adults without CHD in the national reference population. Of the siblings who met the criteria for fasting lipoprotein analysis, most (56%) were candidates for dietary therapy, more than twice the proportion of adults from NHANES III. The percentage of the siblings who qualified for drug intervention and dietary therapy was 3 times greater than the national sample, 33% vs 11%, respectively. Assuming a 10% hypothetical reduction in low-density lipoprotein cholesterol levels as the result of dietary modification, the proportion of the sibling sample who were possible candidates for drug therapy was 20%, still 4 times that predicted for the national sample. CONCLUSIONS: These results underscore the need for aggressive detection and treatment of hypercholesterolemia in this easily identifiable high-risk population of siblings of people with premature CHD. [ABSTRACT FROM AUTHOR]
Published: 1996
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35. Dietary fat patterns in urban African American women.

Author: Kayrooz K, Moy TF, Yanek LR, and Becker DM
Abstract: The purpose of this study was to describe the scope of fatty food preferences of urban African American women and to examine factors associated with the selection of high fat foods. A volunteer sample of urban African American women church-goers were invited for dietary and risk factor screening at health fairs held following Sunday services. A standardized instrument, the Fat Intake Scale (FIS), was administered primarily by dietitians to estimate dietary fat intake and usual food choices. A sum score of 25 or more is thought to be associated with higher fat and cholesterol intake. As a validation of the FIS, a 24-hour recall was administered to a subsample. Sociodemographics, smoking status and comorbidity were assessed by self-report. Body weight, height, and total blood serum cholesterol were assessed using standardized measurement techniques. In the 521 participating women, 61% were classified as obese based on national reference norms for body mass index (BMI). More than 81% had an FIS of 25 or greater. On multiple logistic regression analysis, significant predictors of a higher fat diet (FIS >/= 25) included age greater than 45 years, obesity, and the absence of comorbidity. These findings suggest that there are independent predictors of selection of a diet high in fat. This has implications for planning and targeting community-based nutrition interventions for African American women who exhibit among the highest rates of obesity in the U.S. and who suffer an excess burden of obesity-related diseases. [ABSTRACT FROM AUTHOR]
Published: 1998
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36. Physical activity patterns of urban African Americans.

Author: Young DR, Miller KW, Wilder LB, Yanek LR, and Becker DM
Abstract: This study assessed physical activity patterns in a sample of urban African Americans, whose participation in physical activity has not previously been well-described. From questions administered by interviewers during health fair screenings in 19 churches in East Baltimore, information regarding participation in regular, leisure-time activity (defined as 30 minutes of activity, 5 days per week), time spent walking on the job, and distance walked to and from work was assessed from 365 adults (69% women). Regular, leisure-time activity participation was 18% for men and 16% for women. When the definition of physical activity participation was broadened to include: (1) spending over half the day walking at work; (2) walking at least 10 blocks to and from work; as well as (3) regular, leisure-time activity, 41% of men and 38% of women were active. These data suggest that, while a small percentage of African Americans participate in regular physical activity, a substantial percentage are regularly active when nonleisure-time activity is assessed. To accurately characterize overall participation, physical activity derived from a variety of sources, including transportation and work-related activity, should be assessed. [ABSTRACT FROM AUTHOR]
Published: 1998
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37. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids

Author: Bentley, Amy R, Sung, Yun J, Brown, Michael R, Winkler, Thomas W, Kraja, Aldi T, Ntalla, Ioanna, Schwander, Karen, Chasman, Daniel I, Lim, Elise, Deng, Xuan, Guo, Xiuqing, Liu, Jingmin, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Huffman, Jennifer E, Musani, Solomon K, Li, Changwei, Feitosa, Mary F, Richard, Melissa A, Noordam, Raymond, Baker, Jenna, Chen, Guanjie, Aschard, Hugues, Bartz, Traci M, Ding, Jingzhong, Dorajoo, Rajkumar, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Zhao, Wei, Graff, Mariaelisa, Alver, Maris, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Evangelou, Evangelos, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea RVR, Hsu, Fang-Chi, Hung, Yi-Jen, Jackson, Anne U, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kuehnel, Brigitte, Leander, Karin, Lin, Keng-Hung, Luan, Jian'an, Lyytikainen, Leo-Pekka, Matoba, Nana, Nolte, Ilja M, Pietzner, Maik, Prins, Bram, Riaz, Muhammad, Robino, Antonietta, Said, M Abdullah, Schupf, Nicole, Scott, Robert A, Sofer, Tamar, Stancakova, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, van der Most, Peter J, Varga, Tibor V, Wang, Tzung-Dau, Wang, Yajuan, Ware, Erin B, Wen, Wanqing, Xiang, Yong-Bing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Adeyemo, Adebowale, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Arzumanyan, Zorayr, Aung, Tin, Ballantyne, Christie, Barr, R Graham, Bielak, Lawrence F, Boerwinkle, Eric, Bottinger, Erwin P, Broeckel, Ulrich, Brown, Morris, Cade, Brian E, Campbell, Archie, Canouil, Mickael, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Christensen, Kaare, Concas, Maria Pina, Connell, John M, de las Fuentes, Lisa, de Silva, H Janaka, de Vries, Paul S, Doumatey, Ayo, Duan, Qing, Eaton, Charles B, Eppinga, Ruben N, Faul, Jessica D, Floyd, James S, Forouhi, Nita G, Forrester, Terrence, Friedlander, Yechiel, Gandin, Ilaria, Gao, He, Ghanbari, Mohsen, Gharib, Sina A, Gigante, Bruna, Giulianini, Franco, Grabe, Hans J, Gu, C Charles, Harris, Tamara B, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hixson, James E, Ikram, M Arfan, Jia, Yucheng, Joehanes, Roby, Johnson, Craig, Jonas, Jost Bruno, Justice, Anne E, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpelainen, Tuomas O, Koh, Woon-Puay, Kolcic, Ivana, Kooperberg, Charles, Krieger, Jose E, Kritchevsky, Stephen B, Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lehne, Benjamin, Lewis, Cora E, Li, Yize, Liang, Jingjing, Lin, Shiow, Liu, Ching-Ti, Liu, Jianjun, Liu, Kiang, Loh, Marie, Lohman, Kurt K, Louie, Tin, Luzzi, Anna, Magi, Reedik, Mahajan, Anubha, Manichaikul, Ani W, McKenzie, Colin A, Meitinger, Thomas, Metspalu, Andres, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L, Momozawa, Yukihide, Morris, Andrew P, Murray, Alison D, Nalls, Mike A, Nauck, Matthias, Nelson, Christopher P, North, Kari E, O'Connell, Jeffrey R, Palmer, Nicholette D, Papanicolau, George J, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Poulter, Neil, Raitakari, Olli T, Reiner, Alex P, Renstrom, Frida, Rice, Treva K, Rich, Stephen S, Robinson, Jennifer G, Rose, Lynda M, Rosendaal, Frits R, Rudan, Igor, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Shi, Yuan, Sidney, Stephen, Sims, Mario, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Stringham, Heather M, Tan, Nicholas YQ, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Tiemeier, Henning, Turner, Stephen T, Uitterlinden, Andre G, van Heemst, Diana, Waldenberger, Melanie, Wang, Heming, Wang, Lan, Wang, Lihua, Wei, Wen Bin, Williams, Christine A, Sr, Wilson Gregory, Wojczynski, Mary K, Yao, Jie, Young, Kristin, Yu, Caizheng, Yuan, Jian-Min, Zhou, Jie, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Cooper, Richard S, de Faire, Ulf, Deary, Ian J, Elliott, Paul, Esko, Tonu, Farrall, Martin, Franks, Paul W, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo L, Juang, Jyh-Ming Jimmy, Kamatani, Yoichiro, Kammerer, Candace M, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Laurie, Cathy C, Lee, I-Te, Lehtimaki, Terho, Magnusson, Patrik KE, Oldehinkel, Albertine J, Penninx, Brenda WJH, Pereira, Alexandre C, Rauramaa, Rainer, Redline, Susan, Samani, Nilesh J, Scott, James, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wang, Jun-Sing, Wang, Ya Xing, Wareham, Nicholas J, Watkins, Hugh, Weir, David R, Wickremasinghe, Ananda R, Wu, Tangchun, Zeggini, Eleftheria, Zheng, Wei, Bouchard, Claude, Evans, Michele K, Gudnason, Vilmundur, Kardia, Sharon LR, Liu, Yongmei, Psaty, Bruce M, Ridker, Paul M, van Dam, Rob M, Mook-Kanamori, Dennis O, Fornage, Myriam, Province, Michael A, Kelly, Tanika N, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Loos, Ruth JF, Franceschini, Nora, Rotter, Jerome I, Zhu, Xiaofeng, Bierut, Laura J, Gauderman, W James, Rice, Kenneth, Munroe, Patricia B, Morrison, Alanna C, Rao, Dabeeru C, Rotimi, Charles N, Cupples, L Adrienne, Consortium, COGENT-Kidney, Consortium, EPIC-InterAct, Grp, Understanding Soc Sci, Cohort, Lifelines, National Institutes of Health [Bethesda] (NIH), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), The University of Texas Health Science Center at Houston (UTHealth), Universität Regensburg (UR), Queen Mary University of London (QMUL), Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), School of Public Health [Boston], Boston University [Boston] (BU), Los Angeles Biomedical Research Institute (LA BioMed), Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Singapore Eye Research Institute [Singapore] (SERI), Duke-NUS Medical School [Singapore], National University of Singapore (NUS), Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Edinburgh, University of Mississippi Medical Center (UMMC), University of Georgia [USA], Leiden University Medical Center (LUMC), Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Harvard T.H. Chan School of Public Health, University of Washington [Seattle], Wake Forest University, Genome Institute of Singapore (GIS), Massachusetts General Hospital [Boston], Pennington Biomedical Research Center, Louisiana State University (LSU), Icelandic Heart Association [Kopavogur, Iceland] (IHA), University of Iceland [Reykjavik], University of Michigan [Ann Arbor], University of Michigan System, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), University of Tartu, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Karolinska Institutet [Stockholm], Wake Forest School of Medicine [Winston-Salem], Wake Forest Baptist Medical Center, Imperial College London, University of Ioannina, University of Oxford [Oxford], University of Groningen [Groningen], Universidade Federal de Pelotas = Federal University of Pelotas (UFPel), University of Bristol [Bristol], Huazhong University of Science and Technology [Wuhan] (HUST), Universidade de São Paulo Medical School (FMUSP), Case Western Reserve University [Cleveland], University of Southern California (USC), This project was largely supported by a grant from the US National Heart, Lung, and Blood Institute of the National Institutes of Health (R01HL118305) and by the Intramural Research Program of the National Human Genome Research Institute of the National Institutes of Health through the Center for Research on Genomics and Global Health (CRGGH). The CRGGH is supported by the National Human Genome Research Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the Center for Information Technology, and the Office of the Director at the National Institutes of Health (Z01HG200362)., Bentley, Ar, Sung, Yj, Brown, Mr, Winkler, Tw, Kraja, At, Ntalla, I, Schwander, K, Chasman, Di, Lim, E, Deng, X, Guo, X, Liu, J, Lu, Y, Cheng, Cy, Sim, X, Vojinovic, D, Huffman, Je, Musani, Sk, Li, C, Feitosa, Mf, Richard, Ma, Noordam, R, Baker, J, Chen, G, Aschard, H, Bartz, Tm, Ding, J, Dorajoo, R, Manning, Ak, Rankinen, T, Smith, Av, Tajuddin, Sm, Zhao, W, Graff, M, Alver, M, Boissel, M, Chai, Jf, Chen, X, Divers, J, Evangelou, E, Gao, C, Goel, A, Hagemeijer, Y, Harris, Se, Hartwig, Fp, He, M, Horimoto, Arvr, Hsu, Fc, Hung, Yj, Jackson, Au, Kasturiratne, A, Komulainen, P, Kühnel, B, Leander, K, Lin, Kh, Luan, J, Lyytikäinen, Lp, Matoba, N, Nolte, Im, Pietzner, M, Prins, B, Riaz, M, Robino, A, Said, Ma, Schupf, N, Scott, Ra, Sofer, T, Stancáková, A, Takeuchi, F, Tayo, Bo, van der Most, Pj, Varga, Tv, Wang, Td, Wang, Y, Ware, Eb, Wen, W, Xiang, Yb, Yanek, Lr, Zhang, W, Zhao, Jh, Adeyemo, A, Afaq, S, Amin, N, Amini, M, Arking, De, Arzumanyan, Z, Aung, T, Ballantyne, C, Barr, Rg, Bielak, Lf, Boerwinkle, E, Bottinger, Ep, Broeckel, U, Brown, M, Cade, Be, Campbell, A, Canouil, M, Charumathi, S, Chen, Yi, Christensen, K, COGENT-Kidney, Consortium, Concas, Mp, Connell, Jm, de Las Fuentes, L, de Silva, Hj, de Vries, P, Doumatey, A, Duan, Q, Eaton, Cb, Eppinga, Rn, Faul, Jd, Floyd, J, Forouhi, Ng, Forrester, T, Friedlander, Y, Gandin, I, Gao, H, Ghanbari, M, Gharib, Sa, Gigante, B, Giulianini, F, Grabe, Hj, Gu, Cc, Harris, Tb, Heikkinen, S, Heng, Ck, Hirata, M, Hixson, Je, Ikram, Ma, EPIC-InterAct, Consortium, Jia, Y, Joehanes, R, Johnson, C, Jonas, Jb, Justice, Ae, Katsuya, T, Khor, Cc, Kilpeläinen, To, Koh, Wp, Kolcic, I, Kooperberg, C, Krieger, Je, Kritchevsky, Sb, Kubo, M, Kuusisto, J, Lakka, Ta, Langefeld, Cd, Langenberg, C, Launer, Lj, Lehne, B, Lewis, Ce, Li, Y, Liang, J, Lin, S, Liu, Ct, Liu, K, Loh, M, Lohman, Kk, Louie, T, Luzzi, A, Mägi, R, Mahajan, A, Manichaikul, Aw, Mckenzie, Ca, Meitinger, T, Metspalu, A, Milaneschi, Y, Milani, L, Mohlke, Kl, Momozawa, Y, Morris, Ap, Murray, Ad, Nalls, Ma, Nauck, M, Nelson, Cp, North, Ke, O'Connell, Jr, Palmer, Nd, Papanicolau, Gj, Pedersen, Nl, Peters, A, Peyser, Pa, Polasek, O, Poulter, N, Raitakari, Ot, Reiner, Ap, Renström, F, Rice, Tk, Rich, S, Robinson, Jg, Rose, Lm, Rosendaal, Fr, Rudan, I, Schmidt, Co, Schreiner, Pj, Scott, Wr, Sever, P, Shi, Y, Sidney, S, Sims, M, Smith, Ja, Snieder, H, Starr, Jm, Strauch, K, Stringham, Hm, Tan, Nyq, Tang, H, Taylor, Kd, Teo, Yy, Tham, Yc, Tiemeier, H, Turner, St, Uitterlinden, Ag, Understanding Society Scientific, Group, van Heemst, D, Waldenberger, M, Wang, H, Wang, L, Wei, Wb, Williams, Ca, Wilson, G Sr, Wojczynski, Mk, Yao, J, Young, K, Yu, C, Yuan, Jm, Zhou, J, Zonderman, Ab, Becker, Dm, Boehnke, M, Bowden, Dw, Chambers, Jc, Cooper, R, de Faire, U, Deary, Ij, Elliott, P, Esko, T, Farrall, M, Franks, Pw, Freedman, Bi, Froguel, P, Gasparini, P, Gieger, C, Horta, Bl, Juang, Jj, Kamatani, Y, Kammerer, Cm, Kato, N, Kooner, J, Laakso, M, Laurie, Cc, Lee, It, Lehtimäki, T, Lifelines, Cohort, Magnusson, Pke, Oldehinkel, Aj, Penninx, Bwjh, Pereira, Ac, Rauramaa, R, Redline, S, Samani, Nj, Scott, J, Shu, Xo, van der Harst, P, Wagenknecht, Le, Wang, J, Wang, Yx, Wareham, Nj, Watkins, H, Weir, Dr, Wickremasinghe, Ar, Wu, T, Zeggini, E, Zheng, W, Bouchard, C, Evans, Mk, Gudnason, V, Kardia, Slr, Liu, Y, Psaty, Bm, Ridker, Pm, van Dam, Rm, Mook-Kanamori, Do, Fornage, M, Province, Ma, Kelly, Tn, Fox, Er, Hayward, C, van Duijn, Cm, Tai, E, Wong, Ty, Loos, Rjf, Franceschini, N, Rotter, Ji, Zhu, X, Bierut, Lj, Gauderman, Wj, Rice, K, Munroe, Pb, Morrison, Ac, Rao, Dc, Rotimi, Cn, Cupples, La., Luan, Jian'an [0000-0003-3137-6337], Pietzner, Maik [0000-0003-3437-9963], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Epidemiology, Neurology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), Universiteit Leiden, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), University of Oxford, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, and APH - Digital Health
Subjects: Male, Linkage disequilibrium, Blood lipids, Genome-wide association study, VARIANTS, SUSCEPTIBILITY, Environment interaction, Genome, Linkage Disequilibrium, MESH: Genotype, 0302 clinical medicine, MESH: Aged, 80 and over, Genotype, NICOTINE METABOLISM, 11 Medical and Health Sciences, Genetics & Heredity, Aged, 80 and over, Genetics, MESH: Aged, 0303 health sciences, ARCHITECTURE, [STAT.AP]Statistics [stat]/Applications [stat.AP], Genotype imputation, MESH: Middle Aged, CHOLESTEROL, Smoking, MESH: Life Style, Lifelines Cohort, Middle Aged, Lipids, 3. Good health, ENVIRONMENT INTERACTION, GENOTYPE IMPUTATION, RISK LOCI, METAANALYSIS, CIGARETTES, Cholesterol, MESH: Linkage Disequilibrium, MESH: Young Adult, Meta-analysis, Genome-Wide Association Study/methods, Smoking/blood, Medical genetics, Female, EPIC-InterAct Consortium, Life Sciences & Biomedicine, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Adult, Metaanalysi, Understanding Society Scientific Group, medicine.medical_specialty, MESH: Smoking, Adolescent, Genomics, COGENT-Kidney Consortium, Biology, Nicotine metabolism, Risk loci, Metaanalysis, Cigarettes, Article, Young Adult, 03 medical and health sciences, genomics, medicine, Humans, Linkage Disequilibrium/genetics, Life Style, Aged, 030304 developmental biology, MESH: Adolescent, Science & Technology, MESH: Humans, Lipids/blood, MESH: Adult, 06 Biological Sciences, MESH: Lipids, MESH: Male, cardiovascular diseases, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, genome-wide association studies, MESH: Genome-Wide Association Study, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Female, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract: The concentrations of high- and low-density lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene-smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 novel loci, some of which were detected only because the association differed by smoking status. Additionally, we demonstrated the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings., Editorial summary: A multi-ancestry genome-wide gene-smoking interaction study identifies 13 new loci associated with serum lipids.
Published: 2019
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38. Treatment Crossover Following Advanced Therapy for Overactive Bladder Syndrome.

Author: Edge P, Yanek LR, Patterson D, Chen CCG, and Handa VL
Subjects: Humans, Female, Middle Aged, Adult, Retrospective Studies, Young Adult, Aged, Adolescent, Lumbosacral Plexus, Urinary Bladder, Overactive therapy, Botulinum Toxins, Type A therapeutic use, Botulinum Toxins, Type A administration & dosage, Tibial Nerve, Transcutaneous Electric Nerve Stimulation methods
Abstract: Importance: Patients deciding between advanced therapies for overactive bladder syndrome may be interested to know the likelihood of treatment crossover after sacral neuromodulation, intradetrusor OnabotulinumtoxinA, or percutaneous tibial nerve stimulation. Treatment crossover was defined as a switch from one advanced therapy to another., Objectives: The aim of this study was to estimate the rate of treatment crossover after each advanced therapy for nonneurogenic overactive bladder syndrome. Our secondary objective was to compare medication use after each advanced therapy., Study Design: Using claims data from the MarketScan database, privately insured women 18-65 years old with overactive bladder syndrome were identified for this retrospective cohort study. For all patients who received an advanced therapy between 2013 and 2019, we calculated the proportion who subsequently crossed over to a different advanced treatment. For each advanced therapy, we also calculated the proportion who subsequently utilized overactive bladder medication., Results: We identified 7,231 adult women who underwent index advanced therapy for overactive bladder syndrome between 2013 and 2019. Treatment crossover occurred in 309 women (4.3%) and was significantly more likely following percutaneous tibial nerve stimulation (8.0%) compared to sacral neuromodulation (4.2%) or intradetrusor OnabotulinumtoxinA (2.6%, P < 0.01). Treatment crossover was also more likely following sacral neuromodulation compared to intradetrusor OnabotulinumtoxinA (P < 0.01). Medication use after advanced therapy was more common after percutaneous tibial nerve stimulation (29.2%) compared to intradetrusor OnabotulinumtoxinA (20.4%) or sacral neuromodulation (18.8%, P < 0.01)., Conclusions: Treatment crossover following advanced therapy for overactive bladder syndrome was uncommon but was significantly more likely after percutaneous tibial nerve stimulation. Medication use following advanced treatment occurred in a substantial minority in all cohorts., Competing Interests: The authors have declared they have no conflicts of interest., (Copyright © 2025 American Urogynecologic Society. All rights reserved.)
Published: 2025
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39. Purported Bladder Irritant Intake in Women With Urgency Urinary Incontinence.

Author: Ha B, Yanek LR, Harrington BJ, Blomquist JL, Chen CCG, Patterson D, and Handa VL
Abstract: Importance: Patients with urgency urinary incontinence are often recommended to avoid bladder irritants, but there is a lack of evidence for this., Objective: The aim of the study was to compare consumption of purported bladder irritants between women with and without urgency urinary incontinence., Study Design: We performed a case-control study of nonpregnant females aged ≥20 years using the National Health and Nutrition Examination Survey, 2007-2020. Cases were defined as participants with moderate, severe, or very severe urgency urinary incontinence without stress urinary incontinence, measured with the Sandvik Incontinence Severity Index. Controls were defined as those without urgency urinary incontinence. The exposures of interest were 6 bladder irritants listed by the National Institute of Diabetes and Digestive and Kidney Diseases: (1) alcohol; (2) spicy foods; (3) chocolate; (4) artificial sweeteners; (5) caffeinated, carbonated, and citrus beverages; and (6) high-acid foods. Weighted multivariable logistic regression analysis was used to determine independent associations between each irritant and urgency urinary incontinence., Results: Overall, this study included 651 cases with urgency urinary incontinence (6.8%) and 8,890 controls (93.2%). More cases reported consuming caffeinated, carbonated, and citrus beverages (53.8% vs 47.1%, P = 0.01) and high-acid foods (50.3% vs 44.3%, P = 0.02). In multivariable analysis, the odds of urgency urinary incontinence were increased significantly with intake of caffeinated, carbonated, and citrus beverages (odds ratio 1.37, 95% confidence interval 1.09-1.73) and high-acid foods (odds ratio 1.29, 95% confidence interval 1.03-1.62)., Conclusions: In this case-control study of community-dwelling adult females, urgency urinary incontinence was associated with consumption of caffeinated, carbonated, and citrus beverages and high-acid foods. Adequately powered prospective trials are needed to further investigate the effects of these foods and beverages on urgency urinary incontinence to guide clinical practice., Competing Interests: The authors have declared they have no conflicts of interest., (Copyright © 2025 American Urogynecologic Society. All rights reserved.)
Published: 2025
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40. Abnormal Esophageal Scintigraphy Associates With a Distinct Clinical Phenotype in Patients With Systemic Sclerosis.

Author: Salas AD, Yanek LR, Hummers LK, Shah AA, and McMahan ZH
Abstract: Objective: In systemic sclerosis (SSc), absent contractility (AC) rather than ineffective esophageal motility on manometry is associated with a severe esophageal and extraintestinal phenotype. We sought to determine whether slow esophageal transit on scintigraphy associates with a comparable clinical phenotype to that of AC on manometry, as scintigraphy may serve as a noninvasive approach to risk-stratify patients with SSc., Methods: Clinical, demographic, and serologic features were compared between patients with and without delayed esophageal transit on scintigraphy. University of California Los Angeles Scleroderma Clinical Trials Consortium Gastrointestinal Tract (GIT) 2.0 scores measured GI symptoms, Medsger scores measured physician-assessed SSc disease severity, and the Composite Autonomic Symptom Score 31 survey evaluated dysautonomia symptoms., Results: Of 131 patients, 79 (60%) had delayed esophageal transit by scintigraphy. Patients with delayed esophageal transit were more likely to have diffuse SSc (24 [32%] vs 11 [22%]; P = 0.024), severe lung involvement (22 [41%] vs 7 [19%]; P = 0.034), severe Raynaud (36 [47%] vs 15 [31%]; P = 0.063), and a higher median (interquartile range [IQR]) diarrhea GIT score (0.5 [IQR 0-1] vs 0 [IQR 0-1]; P = 0.050). Lower diffusing capacity of the lungs for carbon monoxide values correlated with a higher esophageal transit time (ρ = -0.32; P = 0.014). After adjusting for disease duration, delayed esophageal transit was significantly associated with severe Medsger lung scores, severe Raynaud phenomenon, and higher modified Rodnan skin scores., Conclusion: Patients with delayed esophageal transit by scintigraphy have a more severe SSc phenotype, similar to patients with AC, on esophageal manometry. Further studies should validate esophageal scintigraphy as a tool to identify patients with SSc with AC who may develop specific GI and extraintestinal complications., (© 2025 The Author(s). ACR Open Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.)
Published: 2025
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41. Endurance exercise promotes episodes of myocardial injury in individuals with a pathogenic desmoplakin (DSP) variant.

Author: Jacobsen AP, Chiampas K, Muller SA, Gasperetti A, Yanek LR, Carrick RT, Gordon C, Tichnell C, Murray B, Calkins H, Barouch LA, and James CA
Abstract: Background: Desmoplakin (DSP) variants are associated with left predominant or biventricular arrhythmogenic cardiomyopathy. Exercise promotes penetrance and sustained ventricular arrhythmias (VAs) in right-sided arrhythmogenic right ventricular cardiomyopathy, but its effect is unknown in DSP variant carriers., Objective: The purpose of this study was to assess whether exercise is associated with clinical outcomes in individuals with a pathogenic or likely pathogenic DSP variant., Methods: Adults with a pathogenic or likely pathogenic DSP variant were interviewed about physical activity from age 10. Endurance athletes were defined on the basis of a mean exercise dose >24 metabolic equivalent hours per week of moderate- to vigorous-intensity exercise. Lifetime survival free of VA (ventricular tachycardia/fibrillation or appropriate implantable cardioverter-defibrillator therapy), clinical heart failure (HF) (presentation to the emergency department or hospitalization with HF), and myocardial injury events characteristic of DSP cardiomyopathy (symptoms, elevated troponin, and imaging with nonobstructive coronaries) were examined using the Kaplan-Meier method and Cox regression models., Results: Participants (N=100; 66% female; mean age 36 ± 15 years) were active with a median 28.4 (interquartile range 14.8-46) metabolic equivalent hours per week of pre-baseline evaluation exercise, and just 8 individuals continued athlete-level exercise post-baseline evaluation. In multivariable analyses, endurance athletes (60%) had no worse survival free of VA (hazard ratio [HR] 1.00; 95% confidence interval [CI] 0.5-1.98) or clinical HF (HR 0.86; 95% CI 0.36-2.05) but their risk of myocardial injury was elevated (HR 2.37; 95% CI 1.11-5.05). Furthermore, myocardial injury episodes were strongly associated with an elevated risk of both VA (HR 7.86; 95% CI 3.56-17.33) and clinical HF (HR 10.28; 95% CI 2.95-35.83) thereafter., Conclusion: Endurance exercise may promote progression of DSP cardiomyopathy by increasing the risk of myocardial injury episodes, but the effect on VA and clinical HF is less clear. This study informs shared decision-making exercise and sport participation discussions., Competing Interests: Disclosures Dr Calkins is a consultant for Medtronic, Biosense Webster, Pfizer, StrideBio, Rocket, and Abbott. Ms Murray is a consultant for My Gene Counsel. Dr James has been a consultant for Pfizer and Lexeo Therapeutics. Dr Calkins receives research support from Boston Scientific; Ms Tichnell and Dr James receive salary support from this grant. Dr Calkins receives research support from Tenaya; Ms Tichnell and Dr James receive salary support from this grant. Dr James receives research support from StrideBio, Lexeo Therapeutics, and ARVADA Therapeutics; Ms Tichnell receives salary support from these grants. Dr Calkins receives research support from Medtronic, Biosense Webster, Farapulse, and Adagio. The rest of the authors report no conflicts of interest., (Copyright © 2024 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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42. Association of the Brain White Matter Hyperintensity with the Cognitive Performance in Middle-Aged Population.

Author: Hannawi Y, Yanek LR, Kral BG, Becker LC, Vaidya D, and Nyquist PA
Abstract: Introduction: White matter hyperintensity (WMH) is typically classified into periventricular and deep WMH (PVWMH and DWMH) based on its proximity to the ventricles. While WMH volume has been associated with the cognitive performance and decline in patients with cerebral small vessel disease, the relative contributions of PVWMH and DWMH to the cognitive profile of these patients remain unclear. Therefore, we aimed to determine the differences in association of PVWMH and DWMH with a battery of cognitive tests in a group of middle-aged population at risk for cardiovascular disease., Methods: Participants in the Genetic Study for Atherosclerosis Risk (GeneSTAR) who had a brain magnetic resonance imaging, a cognitive battery, and were older than 50 years of age were studied. The relative association of PVWMH and DWMH with each of the cognitive measures was tested using multilevel linear regression models adjusting for age, intracranial volume, and cardiovascular risk factors. Adjustment for multiple comparisons was completed by using Benjamini-Hochberg procedure for the primary outcome and q-value of <0.1 was considered significant. Maximal likelihood estimation analysis was used to explore whether age moderated the difference in association of PVWMH and DWMH with the cognitive tests., Results: A total of 435 participants (age 58.9 ± 6.14 years, 58.38% women, and 39.54% black) were studied. We identified a greater association of PVWMH than DWMH with a worse performance on the grooved peg board test (q-value = 0.06) including the dominant (q-value = 0.098) and nondominant hand (q-value = 0.098) performance as well as the delayed word recall test in its short form (q-value = 0.098). Age did not moderate the differences in the association of PVWMH and DWMH with these cognitive tests., Conclusions: Our findings indicate a greater effect of PVWMH than DWHM on manipulative manual dexterity and delayed word recall functions suggesting potential injury of the white matter tracts that are relevant to these function by PVWMH. These findings need to be confirmed in future large prospective studies., (© 2024 S. Karger AG, Basel.)
Published: 2024
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43. Whole-genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles.

Author: Huffman JE, Nicholas J, Hahn J, Heath AS, Raffield LM, Yanek LR, Brody JA, Thibord F, Almasy L, Bartz TM, Bielak LF, Bowler RP, Carrasquilla GD, Chasman DI, Chen MH, Emmert DB, Ghanbari M, Haessler J, Hottenga JJ, Kleber ME, Le NQ, Lee J, Lewis JP, Li-Gao R, Luan J, Malmberg A, Mangino M, Marioni RE, Martinez-Perez A, Pankratz N, Polasek O, Richmond A, Rodriguez BAT, Rotter JI, Steri M, Suchon P, Trompet S, Weiss S, Zare M, Auer P, Cho MH, Christofidou P, Davies G, de Geus E, Deleuze JF, Delgado GE, Ekunwe L, Faraday N, Gögele M, Greinacher A, Gao H, Howard T, Joshi PK, Kilpeläinen TO, Lahti J, Linneberg A, Naitza S, Noordam R, Paüls-Vergés F, Rich SS, Rosendaal FR, Rudan I, Ryan KA, Souto JC, van Rooij FJA, Wang H, Zhao W, Becker LC, Beswick A, Brown MR, Cade BE, Campbell H, Cho K, Crapo JD, Curran JE, de Maat MPM, Doyle M, Elliott P, Floyd JS, Fuchsberger C, Grarup N, Guo X, Harris SE, Hou L, Kolcic I, Kooperberg C, Menni C, Nauck M, O'Connell JR, Orrù V, Psaty BM, Räikkönen K, Smith JA, Soria JM, Stott DJ, van Hylckama Vlieg A, Watkins H, Willemsen G, Wilson PWF, Ben-Shlomo Y, Blangero J, Boomsma D, Cox SR, Dehghan A, Eriksson JG, Fiorillo E, Fornage M, Hansen T, Hayward C, Ikram MA, Jukema JW, Kardia SLR, Lange LA, März W, Mathias RA, Mitchell BD, Mook-Kanamori DO, Morange PE, Pedersen O, Pramstaller PP, Redline S, Reiner A, Ridker PM, Silverman EK, Spector TD, Völker U, Wareham NJ, Wilson JF, Yao J, Trégouët DA, Johnson AD, Wolberg AS, de Vries PS, Sabater-Lleal M, Morrison AC, and Smith NL
Subjects: Humans, Liver metabolism, Polymorphism, Single Nucleotide, Whole Genome Sequencing, Female, Male, Gene Frequency, Fibrinogen genetics, Fibrinogen metabolism, Genome-Wide Association Study
Abstract: Abstract: Genetic studies have identified numerous regions associated with plasma fibrinogen levels in Europeans, yet missing heritability and limited inclusion of non-Europeans necessitates further studies with improved power and sensitivity. Compared with array-based genotyping, whole-genome sequencing (WGS) data provide better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the National Heart, Lung, and Blood Institute's Trans-Omics for Precision Medicine (TOPMed) program (n = 32 572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (n = 131 340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, 4 are driven by common variants of small effect with reported minor allele frequency (MAF) at least 10 percentage points higher in African populations. Three signals (SERPINA1, ZFP36L2, and TLR10) contain predicted deleterious missense variants. Two loci, SOCS3 and HPN, each harbor 2 conditionally distinct, noncoding variants. The gene region encoding the fibrinogen protein chain subunits (FGG;FGB;FGA) contains 7 distinct signals, including 1 novel signal driven by rs28577061, a variant common in African ancestry populations but extremely rare in Europeans (MAFAFR = 0.180; MAFEUR = 0.008). Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation.
Published: 2024
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44. Longitudinal analysis of urinary I-FABP in extremely preterm infants that develop necrotizing enterocolitis.

Author: Fundora JB, Shores DR, Everett AD, Yanek LR, Northington FJ, and Gilmore MM
Abstract: Background: Intestinal fatty acid binding protein (I-FABP) is an intestinal epithelial protein detectable in infants with necrotizing enterocolitis (NEC). The longitudinal behavior of I-FABP following NEC or its association with gastrointestinal or neurodevelopmental outcomes is unknown., Methods: In this secondary analysis of the Preterm Erythropoietin Neuroprotection Trial, we compared infants with and without NEC. Urine I-FABP concentrations in matched infants (n = 70) were measured serially using ELISA and compared using paired analysis. In infants with NEC, the associations of I-FABP levels with short-term outcomes and neurodevelopmental outcomes at 22-26 months corrected age were determined using non-parametric analysis., Results: Infants with NEC were more likely to have cholestasis, death or severe neurodevelopmental impairment, cerebral palsy, and lower Bayley-III motor scores. Baseline urinary I-FABP levels were similar between groups. When compared to controls, infants with NEC had urinary I-FABP concentrations that were higher at diagnosis (median 11 vs 2.6 ng/ml, p = 0.006) and lower post-NEC (median 1 vs 5 ng/ml, p = 0.002). Diagnosis I-FABP levels were not associated with gastrointestinal or neurodevelopmental outcomes at 22-26 months corrected age., Conclusions: In extremely preterm infants, urinary I-FABP was elevated at NEC diagnosis and lower post-NEC compared to matched controls. I-FABP levels were not associated with adverse gastrointestinal or neurodevelopmental outcomes., Impact: Urinary intestinal fatty acid binding protein (I-FABP) levels are increased at diagnosis of NEC and fall to below baseline after NEC in extremely preterm infants. Urine I-FABP levels at NEC diagnosis are not associated with cholestasis, intestinal stricture or obstruction, need for additional intestinal surgery after NEC, or neurodevelopmental outcomes at 22-26 months corrected age. Urine I-FABP levels may be useful in the diagnosis of NEC. Diagnostic I-FABP levels do not predict short-term gastrointestinal or neurodevelopmental outcomes after NEC., Competing Interests: Competing interests The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.)
Published: 2024
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45. Rare variant contribution to the heritability of coronary artery disease.

Author: Rocheleau G, Clarke SL, Auguste G, Hasbani NR, Morrison AC, Heath AS, Bielak LF, Iyer KR, Young EP, Stitziel NO, Jun G, Laurie C, Broome JG, Khan AT, Arnett DK, Becker LC, Bis JC, Boerwinkle E, Bowden DW, Carson AP, Ellinor PT, Fornage M, Franceschini N, Freedman BI, Heard-Costa NL, Hou L, Chen YI, Kenny EE, Kooperberg C, Kral BG, Loos RJF, Lutz SM, Manson JE, Martin LW, Mitchell BD, Nassir R, Palmer ND, Post WS, Preuss MH, Psaty BM, Raffield LM, Regan EA, Rich SS, Smith JA, Taylor KD, Yanek LR, Young KA, Hilliard AT, Tcheandjieu C, Peyser PA, Vasan RS, Rotter JI, Miller CL, Assimes TL, de Vries PS, and Do R
Subjects: Humans, Male, Female, Gene Frequency, Genome-Wide Association Study, White People genetics, Case-Control Studies, Whole Genome Sequencing, Genetic Variation, Middle Aged, Coronary Artery Disease genetics, Genetic Predisposition to Disease, Linkage Disequilibrium, Polymorphism, Single Nucleotide
Abstract: Whole genome sequences (WGS) enable discovery of rare variants which may contribute to missing heritability of coronary artery disease (CAD). To measure their contribution, we apply the GREML-LDMS-I approach to WGS of 4949 cases and 17,494 controls of European ancestry from the NHLBI TOPMed program. We estimate CAD heritability at 34.3% assuming a prevalence of 8.2%. Ultra-rare (minor allele frequency ≤ 0.1%) variants with low linkage disequilibrium (LD) score contribute ~50% of the heritability. We also investigate CAD heritability enrichment using a diverse set of functional annotations: i) constraint; ii) predicted protein-altering impact; iii) cis-regulatory elements from a cell-specific chromatin atlas of the human coronary; and iv) annotation principal components representing a wide range of functional processes. We observe marked enrichment of CAD heritability for most functional annotations. These results reveal the predominant role of ultra-rare variants in low LD on the heritability of CAD. Moreover, they highlight several functional processes including cell type-specific regulatory mechanisms as key drivers of CAD genetic risk., (© 2024. The Author(s).)
Published: 2024
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46. Whole-genome sequencing in 333,100 individuals reveals rare non-coding single variant and aggregate associations with height.

Author: Hawkes G, Beaumont RN, Li Z, Mandla R, Li X, Albert CM, Arnett DK, Ashley-Koch AE, Ashrani AA, Barnes KC, Boerwinkle E, Brody JA, Carson AP, Chami N, Chen YI, Chung MK, Curran JE, Darbar D, Ellinor PT, Fornage M, Gordeuk VR, Guo X, He J, Hwu CM, Kalyani RR, Kaplan R, Kardia SLR, Kooperberg C, Loos RJF, Lubitz SA, Minster RL, Naseri T, Viali S, Mitchell BD, Murabito JM, Palmer ND, Psaty BM, Redline S, Shoemaker MB, Silverman EK, Telen MJ, Weiss ST, Yanek LR, Zhou H, Liu CT, North KE, Justice AE, Locke JM, Owens N, Murray A, Patel K, Frayling TM, Wright CF, Wood AR, Lin X, Manning A, and Weedon MN
Subjects: Humans, Male, Female, Gene Frequency, Genome, Human, Genetic Variation, Phenotype, Whole Genome Sequencing, Body Height genetics, Polymorphism, Single Nucleotide, Genome-Wide Association Study
Abstract: The role of rare non-coding variation in complex human phenotypes is still largely unknown. To elucidate the impact of rare variants in regulatory elements, we performed a whole-genome sequencing association analysis for height using 333,100 individuals from three datasets: UK Biobank (N = 200,003), TOPMed (N = 87,652) and All of Us (N = 45,445). We performed rare ( < 0.1% minor-allele-frequency) single-variant and aggregate testing of non-coding variants in regulatory regions based on proximal-regulatory, intergenic-regulatory and deep-intronic annotation. We observed 29 independent variants associated with height at P < 6 × 10 - 10 after conditioning on previously reported variants, with effect sizes ranging from -7cm to +4.7 cm. We also identified and replicated non-coding aggregate-based associations proximal to HMGA1 containing variants associated with a 5 cm taller height and of highly-conserved variants in MIR497HG on chromosome 17. We have developed an approach for identifying non-coding rare variants in regulatory regions with large effects from whole-genome sequencing data associated with complex traits., (© 2024. The Author(s).)
Published: 2024
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47. Defining Echocardiographic Degrees of Right Heart Size and Function in Pulmonary Vascular Disease from the PVDOMICS Study.

Author: Mukherjee M, Mathai SC, Jellis C, Freed BH, Yanek LR, Agoglia H, Chiu C, Jani VP, Simpson CE, Brittain EL, Tang WHW, Park MM, Hemnes AR, Rosenzweig EB, Rischard FP, Frantz RP, Hassoun PM, Beck G, Hill NS, Erzurum S, Thomas JD, Kwon D, Leopold JA, Horn EM, and Kim J
Subjects: Adult, Aged, Female, Humans, Male, Middle Aged, Echocardiography methods, Heart Ventricles diagnostic imaging, Heart Ventricles physiopathology, Hypertension, Pulmonary physiopathology, Hypertension, Pulmonary mortality, Hypertension, Pulmonary diagnostic imaging, Predictive Value of Tests, Prognosis, Pulmonary Artery physiopathology, Pulmonary Artery diagnostic imaging, Risk Factors, Severity of Illness Index, Time Factors, United States epidemiology, Vascular Resistance physiology, Ventricular Dysfunction, Right physiopathology, Ventricular Dysfunction, Right diagnostic imaging, Ventricular Remodeling, Ventricular Function, Right physiology
Abstract: Background: Defining qualitative grades of echocardiographic metrics of right heart chamber size and function is critical for screening, clinical assessment, and measurement of therapeutic response in individuals with pulmonary vascular disease (PVD). In a population enriched for PVD, we sought to establish qualitative grades and prognostic value of right heart chamber size and function., Methods: We investigated 1053 study participants in the Redefining Pulmonary Hypertension through PVD Phenomics program (PVDOMICS) to determine clinical and echocardiographic differences associated with increasing pulmonary vascular resistance (PVR) severity. Right heart chamber size and function were qualitatively assessed using a percentile-based approach above the median values to create a clinical grading system for right heart adaptation. The relationship between echocardiographic categories and all-cause mortality was examined using survival analyses adjusted for potential confounders., Results: A stepwise increase in adverse right heart remodeling was observed with a concomitant decrease in functional parameters by PVR strata (p<0.001 for all). Mild, moderate, and severe categories of right heart chamber size and dysfunction were defined using a percentile-based approach across the spectrum of PVD. During a median follow up of 2.07 years (interquartile range 1.23 - 3.01 years), 130 participants died (11.4%). Progressive PVR increase and 2DE evidence of right heart dysfunction inclusive of fractional area change, and right ventricular (RV) global longitudinal strain were independently associated with increased all-cause mortality risk in multivariate analysis adjusted for age, disease duration and male sex., Conclusions: In this well-characterized sample of adults with diverse etiologies and varying PVD severity, we define categories of abnormal right heart chamber size and function. Further, we demonstrate a stepwise relationship between these categories of abnormal morphology and function and all-cause mortality. Defining grades of RV dysfunction in individuals with known PVD has important clinical implications for monitoring disease progression and response to therapies.
Published: 2024
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48. Whole genome sequencing based analysis of inflammation biomarkers in the Trans-Omics for Precision Medicine (TOPMed) consortium.

Author: Jiang MZ, Gaynor SM, Li X, Van Buren E, Stilp A, Buth E, Wang FF, Manansala R, Gogarten SM, Li Z, Polfus LM, Salimi S, Bis JC, Pankratz N, Yanek LR, Durda P, Tracy RP, Rich SS, Rotter JI, Mitchell BD, Lewis JP, Psaty BM, Pratte KA, Silverman EK, Kaplan RC, Avery C, North KE, Mathias RA, Faraday N, Lin H, Wang B, Carson AP, Norwood AF, Gibbs RA, Kooperberg C, Lundin J, Peters U, Dupuis J, Hou L, Fornage M, Benjamin EJ, Reiner AP, Bowler RP, Lin X, Auer PL, and Raffield LM
Subjects: Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genetic Predisposition to Disease, Female, Interleukin-6 genetics, Precision Medicine methods, Biomarkers, Inflammation genetics, Genome-Wide Association Study methods, Whole Genome Sequencing methods
Abstract: Inflammation biomarkers can provide valuable insight into the role of inflammatory processes in many diseases and conditions. Sequencing based analyses of such biomarkers can also serve as an exemplar of the genetic architecture of quantitative traits. To evaluate the biological insight, which can be provided by a multi-ancestry, whole-genome based association study, we performed a comprehensive analysis of 21 inflammation biomarkers from up to 38 465 individuals with whole-genome sequencing from the Trans-Omics for Precision Medicine (TOPMed) program (with varying sample size by trait, where the minimum sample size was n = 737 for MMP-1). We identified 22 distinct single-variant associations across 6 traits-E-selectin, intercellular adhesion molecule 1, interleukin-6, lipoprotein-associated phospholipase A2 activity and mass, and P-selectin-that remained significant after conditioning on previously identified associations for these inflammatory biomarkers. We further expanded upon known biomarker associations by pairing the single-variant analysis with a rare variant set-based analysis that further identified 19 significant rare variant set-based associations with 5 traits. These signals were distinct from both significant single variant association signals within TOPMed and genetic signals observed in prior studies, demonstrating the complementary value of performing both single and rare variant analyses when analyzing quantitative traits. We also confirm several previously reported signals from semi-quantitative proteomics platforms. Many of these signals demonstrate the extensive allelic heterogeneity and ancestry-differentiated variant-trait associations common for inflammation biomarkers, a characteristic we hypothesize will be increasingly observed with well-powered, large-scale analyses of complex traits., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
Published: 2024
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49. Epigenetic and proteomic signatures associate with clonal hematopoiesis expansion rate.

Author: Mack TM, Raddatz MA, Pershad Y, Nachun DC, Taylor KD, Guo X, Shuldiner AR, O'Connell JR, Kenny EE, Loos RJF, Redline S, Cade BE, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Cho MH, DeMeo DL, Levy D, Johnson AD, Mathias RA, Yanek LR, Heckbert SR, Smith NL, Wiggins KL, Raffield LM, Carson AP, Rotter JI, Rich SS, Manichaikul AW, Gu CC, Chen YI, Lee WJ, Shoemaker MB, Roden DM, Kooperberg C, Auer PL, Desai P, Blackwell TW, Smith AV, Reiner AP, Jaiswal S, Weinstock JS, and Bick AG
Subjects: Humans, Epigenomics, Male, Female, Middle Aged, Aged, Tissue Inhibitor of Metalloproteinase-1 genetics, Mutation, DNA Methylation, Proteome genetics, Proteome metabolism, Epigenesis, Genetic, Clonal Hematopoiesis genetics
Abstract: Clonal hematopoiesis of indeterminate potential (CHIP), whereby somatic mutations in hematopoietic stem cells confer a selective advantage and drive clonal expansion, not only correlates with age but also confers increased risk of morbidity and mortality. Here, we leverage genetically predicted traits to identify factors that determine CHIP clonal expansion rate. We used the passenger-approximated clonal expansion rate method to quantify the clonal expansion rate for 4,370 individuals in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) cohort and calculated polygenic risk scores for DNA methylation aging, inflammation-related measures and circulating protein levels. Clonal expansion rate was significantly associated with both genetically predicted and measured epigenetic clocks. No associations were identified with inflammation-related lab values or diseases and CHIP expansion rate overall. A proteome-wide search identified predicted circulating levels of myeloid zinc finger 1 and anti-Müllerian hormone as associated with an increased CHIP clonal expansion rate and tissue inhibitor of metalloproteinase 1 and glycine N-methyltransferase as associated with decreased CHIP clonal expansion rate. Together, our findings identify epigenetic and proteomic patterns associated with the rate of hematopoietic clonal expansion., (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)
Published: 2024
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50. Rare damaging CCR2 variants are associated with lower lifetime cardiovascular risk.

Author: Georgakis MK, Malik R, El Bounkari O, Hasbani NR, Li J, Huffman JE, Shakt G, Tack RWP, Kimball TN, Asare Y, Morrison AC, Tsao NL, Judy R, Mitchell BD, Xu H, Montasser ME, Do R, Kenny EE, Loos RJF, Terry JG, Carr JJ, Bis JC, Psaty BM, Longstreth WT, Young KA, Lutz SM, Cho MH, Broome J, Khan AT, Wang FF, Heard-Costa N, Seshadri S, Vasan RS, Palmer ND, Freedman BI, Bowden DW, Yanek LR, Kral BG, Becker LC, Peyser PA, Bielak LF, Ammous F, Carson AP, Hall ME, Raffield LM, Rich SS, Post WS, Tracy RP, Taylor KD, Guo X, Mahaney MC, Curran JE, Blangero J, Clarke SL, Haessler JW, Hu Y, Assimes TL, Kooperberg C, Bernhagen J, Anderson CD, Damrauer SM, Zand R, Rotter JI, de Vries PS, and Dichgans M
Abstract: Background: Previous work has shown a role of CCL2, a key chemokine governing monocyte trafficking, in atherosclerosis. However, it remains unknown whether targeting CCR2, the cognate receptor of CCL2, provides protection against human atherosclerotic cardiovascular disease., Methods: Computationally predicted damaging or loss-of-function (REVEL>0.5) variants within CCR2 were detected in whole-exome-sequencing data from 454,775 UK Biobank participants and tested for association with cardiovascular endpoints in gene-burden tests. Given the key role of CCR2 in monocyte mobilization, variants associated with lower monocyte count were prioritized for experimental validation. The response to CCL2 of human cells transfected with these variants was tested in migration and cAMP assays. Validated damaging variants were tested for association with cardiovascular endpoints, atherosclerosis burden, and vascular risk factors. Significant associations were replicated in six independent datasets (n=1,062,595)., Results: Carriers of 45 predicted damaging or loss-of-function CCR2 variants (n=787 individuals) were at lower risk of myocardial infarction and coronary artery disease. One of these variants (M249K, n=585, 0.15% of European ancestry individuals) was associated with lower monocyte count and with both decreased downstream signaling and chemoattraction in response to CCL2. While M249K showed no association with conventional vascular risk factors, it was consistently associated with a lower risk of myocardial infarction (Odds Ratio [OR]: 0.66 95% Confidence Interval [CI]: 0.54-0.81, p=6.1×10 -5 ) and coronary artery disease (OR: 0.74 95%CI: 0.63-0.87, p=2.9×10 -4 ) in the UK Biobank and in six replication cohorts. In a phenome-wide association study, there was no evidence of a higher risk of infections among M249K carriers., Conclusions: Carriers of an experimentally confirmed damaging CCR2 variant are at a lower lifetime risk of myocardial infarction and coronary artery disease without carrying a higher risk of infections. Our findings provide genetic support for the translational potential of CCR2-targeting as an atheroprotective approach., Competing Interests: Conflicts of Interest: The other authors have nothing to declare.
Published: 2024
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