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WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE.

TitleWHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE.
Publication TypeJournal Article
Year of Publication2023
AuthorsZhang, X, Brody, JA, Graff, M, Highland, HM, Chami, N, Xu, H, Wang, Z, Ferrier, K, Chittoor, G, Josyula, NS, Li, X, Li, Z, Allison, MA, Becker, DM, Bielak, LF, Bis, JC, Boorgula, MPreethi, Bowden, DW, Broome, JG, Buth, EJ, Carlson, CS, Chang, K-M, Chavan, S, Chiu, Y-F, Chuang, L-M, Conomos, MP, DeMeo, DL, Du, M, Duggirala, R, Eng, C, Fohner, AE, Freedman, BI, Garrett, ME, Guo, X, Haiman, C, Heavner, BD, Hidalgo, B, Hixson, JE, Ho, Y-L, Hobbs, BD, Hu, D, Hui, Q, Hwu, C-M, Jackson, RD, Jain, D, Kalyani, RR, Kardia, SLR, Kelly, TN, Lange, EM, LeNoir, M, Li, C, Le Marchand, L, McDonald, M-LN, McHugh, CP, Morrison, AC, Naseri, T, O'Connell, J, O'Donnell, CJ, Palmer, ND, Pankow, JS, Perry, JA, Peters, U, Preuss, MH, Rao, DC, Regan, EA, Reupena, SM, Roden, DM, Rodriguez-Santana, J, Sitlani, CM, Smith, JA, Tiwari, HK, Vasan, RS, Wang, Z, Weeks, DE, Wessel, J, Wiggins, KL, Wilkens, LR, Wilson, PWF, Yanek, LR, Yoneda, ZT, Zhao, W, Zöllner, S, Arnett, DK, Ashley-Koch, AE, Barnes, KC, Blangero, J, Boerwinkle, E, Burchard, EG, Carson, AP, Chasman, DI, Chen, Y-DI, Curran, JE, Fornage, M, Gordeuk, VR, He, J, Heckbert, SR, Hou, L, Irvin, MR, Kooperberg, C, Minster, RL, Mitchell, BD, Nouraie, M, Psaty, BM, Raffield, LM, Reiner, AP, Rich, SS, Rotter, JI, M Shoemaker, B, Smith, NL, Taylor, KD, Telen, MJ, Weiss, ST, Zhang, Y, Costa, NHeard-, Sun, YV, Lin, X, Cupples, AL, Lange, LA, Liu, C-T, Loos, RJF, North, KE, Justice, AE
Corporate/Institutional AuthorsNHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
JournalmedRxiv
Date Published2023 Aug 22
Abstract<p>Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups. We discovered 18 BMI-associated signals ( < 5 × 10 ). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the and loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.</p>
DOI10.1101/2023.08.21.23293271
Alternate JournalmedRxiv
PubMed ID37662265
PubMed Central IDPMC10473809
Grant ListU01 HL054472 / HL / NHLBI NIH HHS / United States
U19 CA203654 / CA / NCI NIH HHS / United States
U01 HL054509 / HL / NHLBI NIH HHS / United States
F32 HL085989 / HL / NHLBI NIH HHS / United States
U01 HL072524 / HL / NHLBI NIH HHS / United States
I01 BX003340 / BX / BLRD VA / United States
P20 GM109036 / GM / NIGMS NIH HHS / United States
P01 CA134294 / CA / NCI NIH HHS / United States
U01 HG009088 / HG / NHGRI NIH HHS / United States
T32 HL007055 / HL / NHLBI NIH HHS / United States
R01 DK122503 / DK / NIDDK NIH HHS / United States
R35 CA197449 / CA / NCI NIH HHS / United States
R01 HL104135 / HL / NHLBI NIH HHS / United States
I01 BX004821 / BX / BLRD VA / United States
R01 HL133040 / HL / NHLBI NIH HHS / United States
R01 AR048797 / AR / NIAMS NIH HHS / United States
U01 HG007416 / HG / NHGRI NIH HHS / United States
U01 HL120393 / HL / NHLBI NIH HHS / United States
U01 HL089897 / HL / NHLBI NIH HHS / United States
R01 HL113338 / HL / NHLBI NIH HHS / United States
R01 AG058921 / AG / NIA NIH HHS / United States
R01 HL142302 / HL / NHLBI NIH HHS / United States
R01 DK110113 / DK / NIDDK NIH HHS / United States
R01 NS058700 / NS / NINDS NIH HHS / United States
R01 DK107786 / DK / NIDDK NIH HHS / United States
R01 HL119443 / HL / NHLBI NIH HHS / United States
R01 HL105756 / HL / NHLBI NIH HHS / United States
R01 AI114555 / AI / NIAID NIH HHS / United States
U01 HL089856 / HL / NHLBI NIH HHS / United States
T32 HL129982 / HL / NHLBI NIH HHS / United States
R01 HL067348 / HL / NHLBI NIH HHS / United States
R01 HL104608 / HL / NHLBI NIH HHS / United States
R01 AI132476 / AI / NIAID NIH HHS / United States
K08 HL136928 / HL / NHLBI NIH HHS / United States
M01 RR007122 / RR / NCRR NIH HHS / United States
KL2 TR002490 / TR / NCATS NIH HHS / United States
R01 HL142825 / HL / NHLBI NIH HHS / United States
R01 DK124097 / DK / NIDDK NIH HHS / United States
R01 HL093093 / HL / NHLBI NIH HHS / United States
I01 BX003362 / BX / BLRD VA / United States
R01 HL068959 / HL / NHLBI NIH HHS / United States
U01 HL072507 / HL / NHLBI NIH HHS / United States
R01 DK071891 / DK / NIDDK NIH HHS / United States
P01 HL132825 / HL / NHLBI NIH HHS / United States
R01 HG010297 / HG / NHGRI NIH HHS / United States
U01 HL054495 / HL / NHLBI NIH HHS / United States
R01 HL055673 / HL / NHLBI NIH HHS / United States
R01 HL092301 / HL / NHLBI NIH HHS / United States
U01 HL054473 / HL / NHLBI NIH HHS / United States
ePub date: 
23/08