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Article

Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes.

BioMed research international - 1 Jan 2017

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

Abstract excerpt

AIM: To identify novel candidate genes and gene sets for diabetes. METHODS: We performed an integrative analysis of genome-wide association studies (GWAS) and expression quantitative trait loci (eQTLs) data for diabetes. Summary data was driven from a large-scale GWAS of diabetes, totally involving 58,070 individuals. eQTLs dataset included 923,021 cis-eQTL for 14,329 genes and 4,732 trans-eQTL for 2,612 genes....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 28744461
DOI: 10.1155/2017/1758636
PMCID: PMC5506468

Genes

FADS1
MRPL33

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