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[Preprint]. 2023 Aug 22:2023.08.21.23293271.
doi: 10.1101/2023.08.21.23293271.

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

Xinruo Zhang  1 Jennifer A Brody  2 Mariaelisa Graff  1 Heather M Highland  1 Nathalie Chami  3 Hanfei Xu  4 Zhe Wang  3 Kendra Ferrier  5 Geetha Chittoor  6 Navya S Josyula  6 Xihao Li  7 Zilin Li  8 Matthew A Allison  9 Diane M Becker  10 Lawrence F Bielak  11 Joshua C Bis  2 Meher Preethi Boorgula  12 Donald W Bowden  13 Jai G Broome  14   15 Erin J Buth  14 Christopher S Carlson  16 Kyong-Mi Chang  17   18 Sameer Chavan  12 Yen-Feng Chiu  19 Lee-Ming Chuang  20 Matthew P Conomos  14 Dawn L DeMeo  21 Margaret Du  22 Ravindranath Duggirala  23 Celeste Eng  24 Alison E Fohner  25 Barry I Freedman  26 Melanie E Garrett  27 Xiuqing Guo  28 Chris Haiman  29 Benjamin D Heavner  14 Bertha Hidalgo  30 James E Hixson  31 Yuk-Lam Ho  32 Brian D Hobbs  21   33 Donglei Hu  24 Qin Hui  34   35 Chii-Min Hwu  36 Rebecca D Jackson  37 Deepti Jain  14 Rita R Kalyani  38 Sharon L R Kardia  11 Tanika N Kelly  39 Ethan M Lange  5 Michael LeNoir  40 Changwei Li  39 Loic Le Marchand  41 Merry-Lynn N McDonald  42 Caitlin P McHugh  14 Alanna C Morrison  31 Take Naseri  43 NHLBI Trans-Omics for Precision Medicine (TOPMed) ConsortiumJeffrey O'Connell  44 Christopher J O'Donnell  32   45 Nicholette D Palmer  13 James S Pankow  46 James A Perry  47 Ulrike Peters  48 Michael H Preuss  3 D C Rao  49 Elizabeth A Regan  50 Sefuiva M Reupena  51 Dan M Roden  52 Jose Rodriguez-Santana  53 Colleen M Sitlani  2 Jennifer A Smith  11   54 Hemant K Tiwari  55 Ramachandran S Vasan  56 Zeyuan Wang  34 Daniel E Weeks  57   58 Jennifer Wessel  59   60   61 Kerri L Wiggins  2 Lynne R Wilkens  41 Peter W F Wilson  35   62 Lisa R Yanek  10 Zachary T Yoneda  63 Wei Zhao  11   54 Sebastian Zöllner  64 Donna K Arnett  65 Allison E Ashley-Koch  27 Kathleen C Barnes  12 John Blangero  66 Eric Boerwinkle  31 Esteban G Burchard  67 April P Carson  68 Daniel I Chasman  69   70 Yii-Der Ida Chen  71 Joanne E Curran  72 Myriam Fornage  73   31 Victor R Gordeuk  74 Jiang He  39 Susan R Heckbert  75   2 Lifang Hou  76 Marguerite R Irvin  77 Charles Kooperberg  16 Ryan L Minster  57 Braxton D Mitchell  78 Mehdi Nouraie  79 Bruce M Psaty  2   75   80 Laura M Raffield  81 Alexander P Reiner  75 Stephen S Rich  82 Jerome I Rotter  28 M Benjamin Shoemaker  63 Nicholas L Smith  83   84   85 Kent D Taylor  28 Marilyn J Telen  86 Scott T Weiss  87 Yingze Zhang  79 Nancy Heard-Costa  88 Yan V Sun  34   35 Xihong Lin  7   89 L Adrienne Cupples  4 Leslie A Lange  5 Ching-Ti Liu  4 Ruth J F Loos  3   90 Kari E North  1 Anne E Justice  6
Affiliations

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

Xinruo Zhang et al. medRxiv. .

Update in

  • Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele.
    Zhang X, Brody JA, Graff M, Highland HM, Chami N, Xu H, Wang Z, Ferrier KR, Chittoor G, Josyula NS, Meyer M, Gupta S, Li X, Li Z, Allison MA, Becker DM, Bielak LF, Bis JC, Boorgula MP, Bowden DW, Broome JG, Buth EJ, Carlson CS, Chang KM, Chavan S, Chiu YF, Chuang LM, 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 YL, Hobbs BD, Hu D, Hui Q, Hwu CM, Jackson RD, Jain D, Kalyani RR, Kardia SLR, Kelly TN, Lange EM, LeNoir M, Li C, Le Marchand L, McDonald MN, McHugh CP, Morrison AC, Naseri T; NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium; 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, Ida Chen YD, 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,… See abstract for full author list ➔ Zhang X, et al. Nat Commun. 2025 Apr 11;16(1):3470. doi: 10.1038/s41467-025-58420-2. Nat Commun. 2025. PMID: 40216759 Free PMC article.

Abstract

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 (P < 5 × 10-9). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in MTMR3 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 POC5 and DMD 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.

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Conflict of interest statement

Disclosures/Competing Interests DLD received grants from Bayer and honoraria from Novartis. BDHo receives grant support from Bayer and has received an honorarium from AstraZeneca for an educational lecture. CJO is employed by Novartis Institute of Biomedical Research, Cambridge MA KCB is an employee of Tempus. BMPs serve on the TOPMed Steering Committee. LMR is a consultant for the TOPMed Administrative Coordinating Center (through Westat). XLin is a consultant of AbbVie Pharmaceuticals and Verily Life Sciences.

Figures

Figure 1.
Figure 1.. Study population group composition.
A) Pairwise scatter plots of the first three principal components (PCs) by population group. B) This image contains a lollipop chart and a waffle plot illustrating the number and proportion of participants by population group. Our study population was composed of 88,873 participants from 15 population groups, 51% of which are non-European.
Figure 2.
Figure 2.. Summary of significant association findings.
A) Manhattan plot of multi-population, single variant analysis (N = 88,873 individuals). The novel locus (MTMR3) is highlighted in red. Previously reported BMI loci are in dark beige. The horizontal dashed line indicates genome-wide significance threshold P = 5 × 10−9. B) Scatterplot showing the minor allele frequency compared to the absolute value of the estimate effect of the index variant at each significant locus. All effect estimates are from the primary analysis conducted across all population groups. Previously reported loci are highlighted in blue, while the novel locus is in red; circles represent the most significant variant at each locus, and triangles show newly reported secondary signals within known loci.
Figure 3.
Figure 3.. Forest plot of rs111490516 replication.
All effect estimates (95% confidence interval) are oriented on the BMI increasing allele and are provided as standard deviation per allele. Actual beta values and P-values are in Supplementary Data 7.

References

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    1. Loos R.J.F. & Yeo G.S.H. The genetics of obesity: from discovery to biology. Nat Rev Genet 23, 120–133 (2022). - PMC - PubMed
    1. Locke A.E. et al. Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197–206 (2015). - PMC - PubMed

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