Cargando…
Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study
Seven gene sets were significantly enriched for SNP associations with diabetes, and considered as potential diabetes pathways in a previous meta-analysis of diabetes GWAS. This study aims to examine if these gene sets also have expression associations with diabetes. The analysis was conducted using...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820295/ https://www.ncbi.nlm.nih.gov/pubmed/29503662 http://dx.doi.org/10.3389/fgene.2018.00052 |
_version_ | 1783301334885203968 |
---|---|
author | Mei, Hao Li, Lianna Griswold, Michael Mosley, Thomas |
author_facet | Mei, Hao Li, Lianna Griswold, Michael Mosley, Thomas |
author_sort | Mei, Hao |
collection | PubMed |
description | Seven gene sets were significantly enriched for SNP associations with diabetes, and considered as potential diabetes pathways in a previous meta-analysis of diabetes GWAS. This study aims to examine if these gene sets also have expression associations with diabetes. The analysis was conducted using pooled data from 23 diabetes gene expression studies. Gene associations were examined using linear modeling with an empirical Bayes approach, and pathway associations were investigated by testing enrichment for significant genes. Meta-analyses were performed to investigate gene and pathway associations in all studies and tissue types. The analysis showed that six gene sets and three member genes of ACADSB, RASSF2, and KLF12 had significant associations with diabetes traits. The findings suggest that these gene sets are related to diabetes regulation, and their functions tend to be tissue non-specific. |
format | Online Article Text |
id | pubmed-5820295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58202952018-03-02 Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study Mei, Hao Li, Lianna Griswold, Michael Mosley, Thomas Front Genet Genetics Seven gene sets were significantly enriched for SNP associations with diabetes, and considered as potential diabetes pathways in a previous meta-analysis of diabetes GWAS. This study aims to examine if these gene sets also have expression associations with diabetes. The analysis was conducted using pooled data from 23 diabetes gene expression studies. Gene associations were examined using linear modeling with an empirical Bayes approach, and pathway associations were investigated by testing enrichment for significant genes. Meta-analyses were performed to investigate gene and pathway associations in all studies and tissue types. The analysis showed that six gene sets and three member genes of ACADSB, RASSF2, and KLF12 had significant associations with diabetes traits. The findings suggest that these gene sets are related to diabetes regulation, and their functions tend to be tissue non-specific. Frontiers Media S.A. 2018-02-16 /pmc/articles/PMC5820295/ /pubmed/29503662 http://dx.doi.org/10.3389/fgene.2018.00052 Text en Copyright © 2018 Mei, Li, Griswold and Mosley. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Mei, Hao Li, Lianna Griswold, Michael Mosley, Thomas Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study |
title | Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study |
title_full | Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study |
title_fullStr | Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study |
title_full_unstemmed | Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study |
title_short | Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study |
title_sort | gene expression meta-analysis of seven candidate gene sets for diabetes traits following a gwas pathway study |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820295/ https://www.ncbi.nlm.nih.gov/pubmed/29503662 http://dx.doi.org/10.3389/fgene.2018.00052 |
work_keys_str_mv | AT meihao geneexpressionmetaanalysisofsevencandidategenesetsfordiabetestraitsfollowingagwaspathwaystudy AT lilianna geneexpressionmetaanalysisofsevencandidategenesetsfordiabetestraitsfollowingagwaspathwaystudy AT griswoldmichael geneexpressionmetaanalysisofsevencandidategenesetsfordiabetestraitsfollowingagwaspathwaystudy AT mosleythomas geneexpressionmetaanalysisofsevencandidategenesetsfordiabetestraitsfollowingagwaspathwaystudy |