Literature DB >> 23941231

Secondary analysis of publicly available data reveals superoxide and oxygen radical pathways are enriched for associations between type 2 diabetes and low-frequency variants.

Mojgan Yazdanpanah1, Chuhua Chen, Jinko Graham.   

Abstract

Genome-wide association studies explain at most 5%-10% of the heritable components of type 2 diabetes. Some of the "missing type 2 diabetes heritability" could be explained by low-frequency variants. We examined the associations between low-frequency variants and type 2 diabetes, using data from 2538 diabetic and 2977 nondiabetic subjects in the publicly available database of Genotypes and Phenotypes. We applied two approaches. First, we combined information from all low-frequency (1%-5%) variants at a locus in a gene-centric analysis of associations with diabetes. Next, we searched for gene ontology (GO) biological processes that were enriched for gene-centric associations, after correcting for multiple testing to control the false discovery rate (FDR). We found three GO biological processes that were significantly enriched for associations to diabetes: "response to superoxide" (FDR-adjusted p=2.7×10(-3)), "response to oxygen radical" (FDR-adjusted p=2.7×10(-3)), and "heart contraction" (FDR-adjusted p=2.6×10(-2)). There were three genes that contributed to "response to superoxide" and "oxygen radical" pathways, including the SOD1 gene. Gene-centric tests of association with low-frequency variants, followed by analysis to evaluate which biological pathways are enriched for these associations has the potential to recover, at least some proportion of, the "missing heritability" of type 2 diabetes.
© 2013 John Wiley & Sons Ltd/University College London.

Entities:  

Keywords:  Rare variants; SOD1; collapsing method; pathway analysis; superoxide and oxygen radical pathways; type 2 diabetes

Mesh:

Substances:

Year:  2013        PMID: 23941231      PMCID: PMC4254771          DOI: 10.1111/ahg.12035

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


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