TY - JOUR
T1 - Shared genetic regulatory networks for cardiovascular disease and type 2 diabetes in multiple populations of diverse ethnicities in the United States
AU - Shu, Le
AU - Chan, Kei Hang K
AU - Zhang, Guanglin
AU - Huan, Tianxiao
AU - Kurt, Zeyneb
AU - Zhao, Yuqi
AU - Codoni, Veronica
AU - Trégouët, David-Alexandre
AU - Yang, Jun
AU - Wilson, James G
AU - Luo, Xi
AU - Cardiogenics Consortium
AU - Lusis, Aldons J
AU - Levy, Daniel
AU - Liu, Simin
AU - Yang, Xia
PY - 2017/9/28
Y1 - 2017/9/28
N2 - Cardiovascular diseases (CVD) and type 2 diabetes (T2D) are closely interrelated complex diseases likely sharing overlapping pathogenesis driven by aberrant activities in gene networks. However, the molecular circuitries underlying the pathogenic commonalities remain poorly understood. We sought to identify the shared gene networks and their key intervening drivers for both CVD and T2D by conducting a comprehensive integrative analysis driven by five multi-ethnic genome-wide association studies (GWAS) for CVD and T2D, expression quantitative trait loci (eQTLs), ENCODE, and tissue-specific gene network models (both co-expression and graphical models) from CVD and T2D relevant tissues. We identified pathways regulating the metabolism of lipids, glucose, and branched-chain amino acids, along with those governing oxidation, extracellular matrix, immune response, and neuronal system as shared pathogenic processes for both diseases. Further, we uncovered 15 key drivers including HMGCR, CAV1, IGF1 and PCOLCE, whose network neighbors collectively account for approximately 35% of known GWAS hits for CVD and 22% for T2D. Finally, we cross-validated the regulatory role of the top key drivers using in vitro siRNA knockdown, in vivo gene knockout, and two Hybrid Mouse Diversity Panels each comprised of >100 strains. Findings from this in-depth assessment of genetic and functional data from multiple human cohorts provide strong support that common sets of tissue-specific molecular networks drive the pathogenesis of both CVD and T2D across ethnicities and help prioritize new therapeutic avenues for both CVD and T2D.
AB - Cardiovascular diseases (CVD) and type 2 diabetes (T2D) are closely interrelated complex diseases likely sharing overlapping pathogenesis driven by aberrant activities in gene networks. However, the molecular circuitries underlying the pathogenic commonalities remain poorly understood. We sought to identify the shared gene networks and their key intervening drivers for both CVD and T2D by conducting a comprehensive integrative analysis driven by five multi-ethnic genome-wide association studies (GWAS) for CVD and T2D, expression quantitative trait loci (eQTLs), ENCODE, and tissue-specific gene network models (both co-expression and graphical models) from CVD and T2D relevant tissues. We identified pathways regulating the metabolism of lipids, glucose, and branched-chain amino acids, along with those governing oxidation, extracellular matrix, immune response, and neuronal system as shared pathogenic processes for both diseases. Further, we uncovered 15 key drivers including HMGCR, CAV1, IGF1 and PCOLCE, whose network neighbors collectively account for approximately 35% of known GWAS hits for CVD and 22% for T2D. Finally, we cross-validated the regulatory role of the top key drivers using in vitro siRNA knockdown, in vivo gene knockout, and two Hybrid Mouse Diversity Panels each comprised of >100 strains. Findings from this in-depth assessment of genetic and functional data from multiple human cohorts provide strong support that common sets of tissue-specific molecular networks drive the pathogenesis of both CVD and T2D across ethnicities and help prioritize new therapeutic avenues for both CVD and T2D.
KW - Adipocytes/metabolism
KW - Amino Acids, Branched-Chain/metabolism
KW - Animals
KW - Cardiovascular Diseases/genetics
KW - Caveolin 1/genetics
KW - Diabetes Mellitus, Type 2/genetics
KW - Disease Models, Animal
KW - Ethnic Groups/genetics
KW - Extracellular Matrix Proteins/genetics
KW - Gene Expression Regulation
KW - Gene Regulatory Networks
KW - Genome-Wide Association Study
KW - Glucose/metabolism
KW - Glycoproteins/genetics
KW - Humans
KW - Hydroxymethylglutaryl CoA Reductases/genetics
KW - Insulin-Like Growth Factor I/genetics
KW - Lipid Metabolism
KW - Male
KW - Mice
KW - Polymorphism, Single Nucleotide
KW - Quantitative Trait Loci
KW - Reproducibility of Results
KW - United States
U2 - 10.1371/journal.pgen.1007040
DO - 10.1371/journal.pgen.1007040
M3 - Article
C2 - 28957322
SN - 1553-7390
VL - 13
SP - e1007040
JO - PLoS Genetics
JF - PLoS Genetics
IS - 9
ER -