Integrated Genomic and Transcriptomic Study Reveals <i>MAPK11</i> and <i>PER1</i> as Important Obesity Susceptibility Genes in a High-Risk Hispanic/Latino Population

BACKGROUND: While GWAS (genome-wide association studies) have identified over 1000 obesity-associated loci, their functional impact on gene expression remains unclear. Moreover, many studies have not fully captured the genetic architecture of obesity in high-risk populations or considered the complexity of adiposity beyond traditional measures. To address these gaps, this study explores the genetic and transcriptomic pathways of obesity using diverse obesity phenotypes in a high-risk population. METHODS: ) followed by expression quantitative trait loci mapping and GWAS-expression quantitative trait loci colocalization. RESULTS: , linked to body mass index in females. Both genes play key roles in obesity-related pathways, including inflammation and circadian rhythm regulation. CONCLUSIONS: This integrative genomic-transcriptomic analysis uncovers 2 novel candidate genes for obesity and underscores the critical need for involving all populations and comprehensive adiposity measures in obesity research. By expanding beyond body mass index in a Hispanic/Latino population, we move closer to a deeper and more inclusive understanding of obesity's genetic architecture.

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Publication Details

Journal
Circulation Genomic and Precision Medicine
Published
2026-04-27
DOI
https://doi.org/10.1161/circgen.125.005298
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrated Genomic and Transcriptomic Study Reveals MAPK11 and PER1 as Important Obesity Susceptibility Genes in a High-Risk Hispanic/Latino Population

Hannah G. Polikowsky, Daeeun Kim, Susan P. Fisher‐Hoch, Faraz Bishehsari et al.
Circulation Genomic and Precision Medicine
Genetic Associations and Epidemiology
article

Integrated Genomic and Transcriptomic Study Reveals MAPK11 and PER1 as Important Obesity Susceptibility Genes in a High-Risk Hispanic/Latino Population

Hannah G. Polikowsky, Daeeun Kim, Susan P. Fisher‐Hoch, Faraz Bishehsari, Joshua M. Landman, Jennifer E Below, Kristin L. Young, Laura M. Raffield, ABSALON D. GUTIERREZ, Mariaelisa Graff, Joseph B. McCormick, Kari E. North, Mohammad Yaser Anwar, Sonja I. Berndt, Joshua Arias, Eitan Frankel, Miryoung Lee, Hung‐Hsin Chen, Heather M. Highland, Rashedeh Roshani, Wanying Zhu, Xinruo Zhang, Yujie Wang, Madeline G Gillman, Victoria L Buchanan, Mohanraj Krishnan
article en

Abstract

BACKGROUND: While GWAS (genome-wide association studies) have identified over 1000 obesity-associated loci, their functional impact on gene expression remains unclear. Moreover, many studies have not fully captured the genetic architecture of obesity in high-risk populations or considered the complexity of adiposity beyond traditional measures. To address these gaps, this study explores the genetic and transcriptomic pathways of obesity using diverse obesity phenotypes in a high-risk population. METHODS: ) followed by expression quantitative trait loci mapping and GWAS-expression quantitative trait loci colocalization. RESULTS: , linked to body mass index in females. Both genes play key roles in obesity-related pathways, including inflammation and circadian rhythm regulation. CONCLUSIONS: This integrative genomic-transcriptomic analysis uncovers 2 novel candidate genes for obesity and underscores the critical need for involving all populations and comprehensive adiposity measures in obesity research. By expanding beyond body mass index in a Hispanic/Latino population, we move closer to a deeper and more inclusive understanding of obesity's genetic architecture.

Circulation Genomic and Precision Medicine
University of North Carolina at Chapel Hill (US), The University of Texas MD Anderson Cancer Center (US), Vanderbilt University (US), Institute of Biomedical Sciences, Academia Sinica (TW), Nutrition Sciences (Belgium) (BE), Department of Health (ZA), The University of Texas Health Science Center (US), Department of Health and Human Services (US), Vanderbilt University Medical Center (US)
American Heart Association, National Institutes of Health, National Human Genome Research Institute, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Openalex Percentile: Top 12%
Genetic Associations and Epidemiology
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