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GWAS Study

Genomics and phenomics of body mass index reveals a complex disease network.

Huang J, Huffman JE, Huang Y et al.

36581621 PubMed ID
GWAS Study Type
1122049 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

HJ
Huang J
HJ
Huffman JE
HY
Huang Y
DV
Do Valle Í
AT
Assimes TL
RS
Raghavan S
VB
Voight BF
LC
Liu C
BA
Barabási AL
HR
Huang RDL
HQ
Hui Q
NX
Nguyen XT
HY
Ho YL
DL
Djousse L
LJ
Lynch JA
VM
Vujkovic M
TC
Tcheandjieu C
TH
Tang H
DS
Damrauer SM
RP
Reaven PD
MD
Miller D
PL
Phillips LS
NM
Ng MCY
GM
Graff M
HC
Haiman CA
LR
Loos RJF
NK
North KE
YL
Yengo L
SG
Smith GD
SD
Saleheen D
GJ
Gaziano JM
RD
Rader DJ
TP
Tsao PS
CK
Cho K
CK
Chang KM
WP
Wilson PWF
SY
Sun YV
OC
O'Donnell CJ
Chapter II

Abstract

Summary of the research findings

Elevated body mass index (BMI) is heritable and associated with many health conditions that impact morbidity and mortality. The study of the genetic association of BMI across a broad range of common disease conditions offers the opportunity to extend current knowledge regarding the breadth and depth of adiposity-related diseases. We identify 906 (364 novel) and 41 (6 novel) genome-wide significant loci for BMI among participants of European (N~1.1 million) and African (N~100,000) ancestry, respectively. Using a BMI genetic risk score including 2446 variants, 316 diagnoses are associated in the Million Veteran Program, with 96.5% showing increased risk. A co-morbidity network analysis reveals seven disease communities containing multiple interconnected diseases associated with BMI as well as extensive connections across communities. Mendelian randomization analysis confirms numerous phenotypes across a breadth of organ systems, including conditions of the circulatory (heart failure, ischemic heart disease, atrial fibrillation), genitourinary (chronic renal failure), respiratory (respiratory failure, asthma), musculoskeletal and dermatologic systems that are deeply interconnected within and across the disease communities. This work shows that the complex genetic architecture of BMI associates with a broad range of major health conditions, supporting the need for comprehensive approaches to prevent and treat obesity.

1,122,049 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

1122049
Total Participants
GWAS
Study Type
No
Replicated
European, African unspecified, African American or Afro-Caribbean
Ancestry
U.S., U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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