Biological pathway-based genome-wide association analysis identified the vasoactive intestinal peptide (VIP) pathway important for obesity
- PMID: 20379146
- PMCID: PMC2980805
- DOI: 10.1038/oby.2010.83
Biological pathway-based genome-wide association analysis identified the vasoactive intestinal peptide (VIP) pathway important for obesity
Abstract
Recent genome-wide association (GWA) studies have identified a number of novel genes/variants predisposing to obesity. However, most GWA studies have focused on individual single-nucleotide polymorphism (SNPs)/genes with a strong statistical association with a phenotypic trait without considering potential biological interplay of the tested genes. In this study, we performed biological pathway-based GWA analysis for BMI and body fat mass. We used individual level genotype data generated from 1,000 unrelated US whites that were genotyped for ~500,000 SNPs. Statistical analysis of pathways was performed using a modification of the Gene Set Enrichment Algorithm. A total of 963 pathways extracted from the BioCarta, Kyoto Encyclopedia of Genes and Genomes (KEGG), Ambion GeneAssist, and Gene Ontology (GO) databases were analyzed. Among all of the pathways analyzed, the vasoactive intestinal peptide (VIP) pathway was most strongly associated with fat mass (nominal P = 0.0009) and was the third most strongly associated pathway with BMI (nominal P = 0.0006). After multiple testing correction, the VIP pathway achieved false-discovery rate (FDR) q values of 0.042 and 0.120 for fat mass and BMI, respectively. Our study is the first to demonstrate that the VIP pathway may play an important role in development of obesity. The study also highlights the importance of pathway-based GWA analysis in identification of additional genes/variants for complex human diseases.
Conflict of interest statement
The authors declared no conflict of interest.
Figures



Similar articles
-
Associations of six single nucleotide polymorphisms in obesity-related genes with BMI and risk of obesity in Chinese children.Diabetes. 2010 Dec;59(12):3085-9. doi: 10.2337/db10-0273. Epub 2010 Sep 15. Diabetes. 2010. PMID: 20843981 Free PMC article.
-
Genome-wide genetic analyses highlight mitogen-activated protein kinase (MAPK) signaling in the pathogenesis of endometriosis.Hum Reprod. 2017 Apr 1;32(4):780-793. doi: 10.1093/humrep/dex024. Hum Reprod. 2017. PMID: 28333195 Free PMC article.
-
Genome wide association study: searching for genes underlying body mass index in the Chinese.Biomed Environ Sci. 2014 May;27(5):360-70. doi: 10.3967/bes2014.061. Biomed Environ Sci. 2014. PMID: 24827717 Free PMC article.
-
Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants.PLoS One. 2007 Dec 26;2(12):e1361. doi: 10.1371/journal.pone.0001361. PLoS One. 2007. PMID: 18159244 Free PMC article.
-
Comprehensive identification of pleiotropic loci for body fat distribution using the NHGRI-EBI Catalog of published genome-wide association studies.Obes Rev. 2019 Mar;20(3):385-406. doi: 10.1111/obr.12806. Epub 2018 Nov 22. Obes Rev. 2019. PMID: 30565845 Review.
Cited by
-
Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium.Hum Mol Genet. 2017 Oct 15;26(20):4067-4085. doi: 10.1093/hmg/ddx290. Hum Mol Genet. 2017. PMID: 29016858 Free PMC article.
-
Towards Identifying Genetic Biomarkers for Gastrointestinal Dysfunction in Autism.J Autism Dev Disord. 2020 Jan;50(1):76-86. doi: 10.1007/s10803-019-04231-6. J Autism Dev Disord. 2020. PMID: 31535339
-
A Genomewide Integrative Analysis of GWAS and eQTLs Data Identifies Multiple Genes and Gene Sets Associated with Obesity.Biomed Res Int. 2018 May 8;2018:3848560. doi: 10.1155/2018/3848560. eCollection 2018. Biomed Res Int. 2018. PMID: 29854750 Free PMC article.
-
An investigation of obesity susceptibility genes in Northern Han Chinese by targeted resequencing.Medicine (Baltimore). 2017 Feb;96(7):e6117. doi: 10.1097/MD.0000000000006117. Medicine (Baltimore). 2017. PMID: 28207535 Free PMC article.
-
Network graph analysis of gene-gene interactions in genome-wide association study data.Genomics Inform. 2012 Dec;10(4):256-62. doi: 10.5808/GI.2012.10.4.256. Epub 2012 Dec 31. Genomics Inform. 2012. PMID: 23346039 Free PMC article.
References
-
- Walley AJ, Asher JE, Froguel P. The genetic contribution to non-syndromic human obesity. Nat Rev Genet. 2009;10:431–442. - PubMed
-
- Liu YJ, Xiao P, Xiong DH, Recker RR, Deng HW. Searching for obesity genes: progress and prospects. Drugs Today. 2005;41:345–362. - PubMed
-
- Bray BA, Bouchard C, James WP. Handbook of Obesity. 2. Marcel Dekker; New York: 2004.
Publication types
MeSH terms
Substances
Grants and funding
- R01AR050496/AR/NIAMS NIH HHS/United States
- R01AR057049/AR/NIAMS NIH HHS/United States
- R01 AG026564/AG/NIA NIH HHS/United States
- R21 AG027110/AG/NIA NIH HHS/United States
- R01 AR057049/AR/NIAMS NIH HHS/United States
- P50 AR055081/AR/NIAMS NIH HHS/United States
- R21AA015973/AA/NIAAA NIH HHS/United States
- R21AG027110/AG/NIA NIH HHS/United States
- R01 AR050496/AR/NIAMS NIH HHS/United States
- R01AG026564/AG/NIA NIH HHS/United States
- R03TW008221/TW/FIC NIH HHS/United States
- R21 AA015973/AA/NIAAA NIH HHS/United States
- R03 TW008221/TW/FIC NIH HHS/United States
LinkOut - more resources
Full Text Sources
Medical