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The trans-ancestral genomic architecture of glycemic traits

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Title: The trans-ancestral genomic architecture of glycemic traits
Authors: Chen, J
Spracklen, CN
Marenne, G
Varshney, A
Corbin, LJ
Luan, J
Willems, SM
Wu, Y
Zhang, X
Horikoshi, M
Boutin, TS
Magi, R
Waage, J
Li-Gao, R
Chan, KHK
Yao, J
Anasanti, MD
Chu, AY
Claringbould, A
Heikkinen, J
Hong, J
Hottenga, J-J
Huo, S
Kaakinen, MA
Louie, T
Maerz, W
Moreno-Macias, H
Ndungu, A
Nelson, SC
Nolte, IM
North, KE
Raulerson, CK
Ray, D
Rohde, R
Rybin, D
Schurmann, C
Sim, X
Southam, L
Stewart, ID
Wang, CA
Wang, Y
Wu, P
Zhang, W
Ahluwalia, TS
Appel, EVR
Bielak, LF
Brody, JA
Burtt, NP
Cabrera, CP
Cade, BE
Chai, JF
Chai, X
Chang, L-C
Chen, C-H
Chen, BH
Chitrala, KN
Chiu, Y-F
De Haan, HG
Delgado, GE
Demirkan, A
Duan, Q
Engmann, J
Fatumo, SA
Gayan, J
Giulianini, F
Gong, JH
Gustafsson, S
Hai, Y
Hartwig, FP
He, J
Heianza, Y
Huang, T
Huerta-Chagoya, A
Hwang, MY
Jensen, RA
Kawaguchi, T
Kentistou, KA
Kim, YJ
Kleber, ME
Kooner, IK
Lai, S
Lange, LA
Langefeld, CD
Lauzon, M
Li, M
Ligthart, S
Liu, J
Loh, M
Long, J
Lyssenko, V
Mangino, M
Marzi, C
Montasser, ME
Nag, A
Nakatochi, M
Noce, D
Noordam, R
Pistis, G
Preuss, M
Raffield, L
Rasmussen-Torvik, LJ
Rich, SS
Robertson, NR
Rueedi, R
Ryan, K
Sanna, S
Saxena, R
Schraut, KE
Sennblad, B
Setoh, K
Smith, AV
Sparso, T
Strawbridge, RJ
Takeuchi, F
Tan, J
Trompet, S
Van den Akker, E
Van der Most, PJ
Verweij, N
Vogel, M
Wang, H
Wang, C
Wang, N
Warren, HR
Wen, W
Wilsgaard, T
Wong, A
Wood, AR
Xie, T
Zafarmand, MH
Zhao, J-H
Zhao, W
Amin, N
Arzumanyan, Z
Astrup, A
Bakker, SJL
Baldassarre, D
Beekman, M
Bergman, RN
Bertoni, A
Blueher, M
Bonnycastle, LL
Bornstein, SR
Bowden, DW
Cai, Q
Campbell, A
Campbell, H
Chang, YC
De Geus, EJC
Dehghan, A
Du, S
Eiriksdottir, G
Farmaki, AE
Franberg, M
Fuchsberger, C
Gao, Y
Gjesing, AP
Goel, A
Han, S
Hartman, CA
Herder, C
Hicks, AA
Hsieh, C-H
Hsueh, WA
Ichihara, S
Igase, M
Ikram, MA
Johnson, WC
Jorgensen, ME
Joshi, PK
Kalyani, RR
Kandeel, FR
Katsuya, T
Khor, CC
Kiess, W
Kolcic, I
Kuulasmaa, T
Kuusisto, J
Lall, K
Lam, K
Lawlor, DA
Lee, NR
Lemaitre, RN
Li, H
Lin, S-Y
Lindstrom, J
Linneberg, A
Liu, J
Lorenzo, C
Matsubara, T
Matsuda, F
Mingrone, G
Mooijaart, S
Moon, S
Nabika, T
Nadkarni, GN
Nadler, JL
Nelis, M
Neville, MJ
Norris, JM
Ohyagi, Y
Peters, A
Peyser, PA
Polasek, O
Qi, Q
Raven, D
Reilly, DF
Reiner, A
Rivideneira, F
Roll, K
Rudan, I
Sabanayagam, C
Sandow, K
Sattar, N
Schuermann, A
Shi, J
Stringham, HM
Taylor, KD
Teslovich, TM
Thuesen, B
Timmers, PRHJ
Tremoli, E
Tsai, MY
Uitterlinden, A
Van Dam, RM
Van Heemst, D
Van Hylckama Vlieg, A
Van Vliet-Ostaptchouk, JV
Vangipurapu, J
Vestergaard, H
Wang, T
Willems van Dijk, K
Zemunik, T
Abecasis, GR
Adair, LS
Aguilar-Salinas, CA
Alarcon-Riquelme, ME
An, P
Aviles-Santa, L
Becker, DM
Beilin, LJ
Bergmann, S
Bisgaard, H
Black, C
Boehnke, M
Boerwinkle, E
Boehm, BO
Bonnelykke, K
Boomsma, DI
Bottinger, EP
Buchanan, TA
Canouil, M
Caulfield, MJ
Chambers, JC
Chasman, DI
Chen, Y-DI
Cheng, C-Y
Collins, FS
Correa, A
Cucca, F
De Silva, HJ
Dedoussis, G
Elmstahl, S
Evans, MK
Ferrannini, E
Ferrucci, L
Florez, JC
Franks, PW
Frayling, TM
Froguel, P
Gigante, B
Goodarzi, MO
Gordon-Larsen, P
Grallert, H
Grarup, N
Grimsgaard, S
Groop, L
Gudnason, V
Guo, X
Hamsten, A
Hansen, T
Hayward, C
Heckbert, SR
Horta, BL
Huang, W
Ingelsson, E
James, PS
Jarvelin, M-R
Jonas, JB
Jukema, JW
Kaleebu, P
Kaplan, R
Kardia, SLR
Kato, N
Keinanen-Kiukaanniemi, SM
Kim, B-J
Kivimaki, M
Koistinen, HA
Kooner, JS
Koerner, A
Kovacs, P
Kuh, D
Kumari, M
Kutalik, Z
Laakso, M
Lakka, TA
Launer, LJ
Leander, K
Li, H
Lin, X
Lind, L
Lindgren, C
Liu, S
Loos, RJF
Magnusson, PKE
Mahajan, A
Metspalu, A
Mook-Kanamori, DO
Mori, TA
Munroe, PB
Njolstad, I
O'Connell, JR
Oldehinkel, AJ
Ong, KK
Padmanabhan, S
Palmer, CNA
Palmer, ND
Pedersen, O
Pennell, CE
Porteous, DJ
Pramstaller, PP
Province, MA
Psaty, BM
Qi, L
Raffel, LJ
Rauramaa, R
Redline, S
Ridker, PM
Rosendaal, FR
Saaristo, TE
Sandhu, M
Saramies, J
Schneiderman, N
Schwarz, P
Scott, LJ
Selvin, E
Sever, P
Shu, X-O
Slagboom, PE
Small, KS
Smith, BH
Snieder, H
Sofer, T
Sorensen, TIA
Spector, TD
Stanton, A
Steves, CJ
Stumvoll, M
Sun, L
Tabara, Y
Tai, ES
Timpson, NJ
Tonjes, A
Tuomilehto, J
Tusie, T
Uusitupa, M
Van der Harst, P
Van Duijn, C
Vitart, V
Vollenweider, P
Vrijkotte, TGM
Wagenknecht, LE
Walker, M
Wang, YX
Wareham, NJ
Watanabe, RM
Watkins, H
Wei, WB
Wickremasinghe, AR
Willemsen, G
Wilson, JF
Wong, T-Y
Wu, J-Y
Xiang, AH
Yanek, LR
Yengo, L
Yokota, M
Zeggini, E
Zheng, W
Zonderman, AB
Rotter, JI
Gloyn, AL
McCarthy, MI
Dupuis, J
Meigs, JB
Scott, RA
Prokopenko, I
Leong, A
Liu, C-T
Parker, SCJ
Mohlke, KL
Langenberg, C
Wheeler, E
Morris, AP
Barroso, I
Item Type: Journal Article
Abstract: Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 × 10−8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.
Issue Date: 31-May-2021
Date of Acceptance: 22-Mar-2021
URI: http://hdl.handle.net/10044/1/98553
DOI: 10.1038/s41588-021-00852-9
ISSN: 1061-4036
Publisher: Nature Research
Start Page: 840
End Page: 860
Journal / Book Title: Nature Genetics
Volume: 53
Issue: 6
Copyright Statement: © The Author(s), under exclusive licence to Springer Nature America, Inc. 2021. The final publication is available at Springer via https://doi.org/10.1038/s41588-021-00852-9
Sponsor/Funder: European Commission
Funder's Grant Number: PIEF-GA-2013-626461
Keywords: Science & Technology
Life Sciences & Biomedicine
Genetics & Heredity
WIDE ASSOCIATION
INSULIN-RESISTANCE
GENE-EXPRESSION
DISEASE RISK
VARIANTS
GLUCOSE
LOCI
METAANALYSIS
MECHANISMS
HEMOGLOBIN
Alleles
Blood Glucose
Epigenesis, Genetic
Gene Expression Profiling
Genome, Human
Genome-Wide Association Study
Glycated Hemoglobin A
Humans
Multifactorial Inheritance
Physical Chromosome Mapping
Quantitative Trait Loci
Quantitative Trait, Heritable
Whites
Lifelines Cohort Study
Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC)
Humans
Blood Glucose
Physical Chromosome Mapping
Gene Expression Profiling
Epigenesis, Genetic
Multifactorial Inheritance
Quantitative Trait, Heritable
Alleles
Quantitative Trait Loci
Genome, Human
Genome-Wide Association Study
Glycated Hemoglobin A
Whites
Science & Technology
Life Sciences & Biomedicine
Genetics & Heredity
WIDE ASSOCIATION
INSULIN-RESISTANCE
GENE-EXPRESSION
DISEASE RISK
VARIANTS
GLUCOSE
LOCI
METAANALYSIS
MECHANISMS
HEMOGLOBIN
Developmental Biology
06 Biological Sciences
11 Medical and Health Sciences
Publication Status: Published
Online Publication Date: 2021-05-31
Appears in Collections:Department of Metabolism, Digestion and Reproduction
National Heart and Lung Institute
Faculty of Medicine
School of Public Health