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Article

A Genomewide Integrative Analysis of GWAS and eQTLs Data Identifies Multiple Genes and Gene Sets Associated with Obesity.

BioMed research international - 1 Jan 2018

Liu Li, Fan Qianrui, Zhang Feng, Guo Xiong, Liang Xiao, Du Yanan, Li Ping, Wen Yan, Hao Jingcan, Wang Wenyu, He Awen

Abstract excerpt

To identify novel susceptibility genes and gene sets for obesity, we conducted a genomewide expression association analysis of obesity via integrating genomewide association study (GWAS) and expression quantitative trait loci (eQTLs) data. GWAS summary data of body mass index (BMI) and waist-to-hip ratio (WHR) was driven from a published study, totally involving 339,224 individuals. The eQTLs dataset (containing...

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Identifiers

PMID: 29854750
DOI: 10.1155/2018/3848560
PMCID: PMC5964558

Genes

SPI1
TUFM
WARS2

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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