ArticleHuman genetics2016
Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity.
Article in Human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- A Genomewide Integrative Analysis of GWAS and eQTLs Data Identifies Multiple Genes and Gene Sets Associated with Obesity.BioMed research international · 2018Pooled it
- Genetic regulation of exosome biogenesis pathway in human adipose and muscle tissue and association with obesity and insulin resistance.International journal of obesity (2005) · 2026Article
- RNA-Binding Proteins in Adipose Biology: From Mechanistic Understanding to Therapeutic Opportunities.International journal of molecular sciences · 2026Review
- Identification of novel type 1 and type 2 diabetes genes by co-localization of human islet eQTL and GWAS variants with colocRedRibbon.Cell genomics · 2025Article
- Impact of polymorphisms on gene expression and splicing in response to exercise and diet-induced weight loss in human skeletal muscle tissues.Cell genomics · 2025Article
- SNP-Based and Kmer-Based eQTL Analysis Using Transcriptome Data.Animals : an open access journal from MDPI · 2024Article
- Metaboepigenetic regulation of gene expression in obesity and insulin resistance.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Integrated multi-omic analyses uncover the effects of aging on cell-type regulation in glucose-responsive tissues.Aging cell · 2024Article
- Identifying novel regulatory effects for clinically relevant genes through the study of the Greek population.BMC genomics · 2023Article
- Multi-omic integration reveals cell-type-specific regulatory networks of insulin resistance in distinct ancestry populations.Cell systems · 2023Article
- Genetic Polymorphisms in the 3'-Untranslated Regions ofBiomedicines · 2022Article
- Transcriptome-wide analyses of adipose tissue in outbred rats reveal genetic regulatory mechanisms relevant for human obesity.Physiological genomics · 2022Article
- GWAS in the southern African context.PloS one · 2022Article
- Genetic discovery and risk characterization in type 2 diabetes across diverse populations.HGG advances · 2021Article
- New Insights Into Mitochondrial Dysfunction at Disease Susceptibility Loci in the Development of Type 2 Diabetes.Frontiers in endocrinology · 2021Article
- Article
- The Relationship Between Corneal Nerve Density and Hemoglobin A1c in Patients With Prediabetes and Type 2 Diabetes.Investigative ophthalmology & visual science · 2020Article
- ACE2 Protein Landscape in the Head and Neck Region: The Conundrum of SARS-CoV-2 Infection.Biology · 2020Article
- Discovery of novel hepatocyte eQTLs in African Americans.PLoS genetics · 2020Article
- Blood co-expression modules identify potential modifier genes of diabetes and lung function in cystic fibrosis.PloS one · 2020Article
Corrections and comments
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Authors and funding
36 authors at 13 institutions in 1 country.
Funding
Abstract
Relative to European Americans, type 2 diabetes (T2D) is more prevalent in African Americans (AAs). Genetic variation may modulate transcript abundance in insulin-responsive tissues and contribute to risk; yet, published studies identifying expression quantitative trait loci (eQTLs) in African ancestry populations are restricted to blood cells. This study aims to develop a map of genetically regulated transcripts expressed in tissues important for glucose homeostasis in AAs, critical for identifying the genetic etiology of T2D and related traits. Quantitative measures of adipose and muscle gene expression, and genotypic data were integrated in 260 non-diabetic AAs to identify expression regulatory variants. Their roles in genetic susceptibility to T2D, and related metabolic phenotypes, were evaluated by mining GWAS datasets. eQTL analysis identified 1971 and 2078 cis-eGenes in adipose and muscle, respectively. Cis-eQTLs for 885 transcripts including top cis-eGenes CHURC1, USMG5, and ERAP2 were identified in both tissues. 62.1 % of top cis-eSNPs were within ±50 kb of transcription start sites and cis-eGenes were enriched for mitochondrial transcripts. Mining GWAS databases revealed association of cis-eSNPs for more than 50 genes with T2D (e.g. PIK3C2A, RBMS1, UFSP1), gluco-metabolic phenotypes (e.g. INPP5E, SNX17, ERAP2, FN3KRP), and obesity (e.g. POMC, CPEB4). Integration of GWAS meta-analysis data from AA cohorts revealed the most significant association for cis-eSNPs of ATP5SL and MCCC1 genes, with T2D and BMI, respectively. This study developed the first comprehensive map of adipose and muscle tissue eQTLs in AAs (publically accessible at https://mdsetaa.phs.wakehealth.edu ) and identified genetically regulated transcripts for delineating genetic causes of T2D, and related metabolic phenotypes.
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