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SNP-SNP Interactions Discovered by Logic Regression Explain Crohn's Disease Genetics

In genome-wide association studies (GWAS), the association between each single nucleotide polymorphism (SNP) and a phenotype is assessed statistically. To further explore genetic associations in GWAS, we considered two specific forms of biologically plausible SNP-SNP interactions, ‘SNP intersection’...

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Autores principales: Dinu, Irina, Mahasirimongkol, Surakameth, Liu, Qi, Yanai, Hideki, Sharaf Eldin, Noha, Kreiter, Erin, Wu, Xuan, Jabbari, Shahab, Tokunaga, Katsushi, Yasui, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3470545/
https://www.ncbi.nlm.nih.gov/pubmed/23071489
http://dx.doi.org/10.1371/journal.pone.0043035
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author Dinu, Irina
Mahasirimongkol, Surakameth
Liu, Qi
Yanai, Hideki
Sharaf Eldin, Noha
Kreiter, Erin
Wu, Xuan
Jabbari, Shahab
Tokunaga, Katsushi
Yasui, Yutaka
author_facet Dinu, Irina
Mahasirimongkol, Surakameth
Liu, Qi
Yanai, Hideki
Sharaf Eldin, Noha
Kreiter, Erin
Wu, Xuan
Jabbari, Shahab
Tokunaga, Katsushi
Yasui, Yutaka
author_sort Dinu, Irina
collection PubMed
description In genome-wide association studies (GWAS), the association between each single nucleotide polymorphism (SNP) and a phenotype is assessed statistically. To further explore genetic associations in GWAS, we considered two specific forms of biologically plausible SNP-SNP interactions, ‘SNP intersection’ and ‘SNP union,’ and analyzed the Crohn's Disease (CD) GWAS data of the Wellcome Trust Case Control Consortium for these interactions using a limited form of logic regression. We found strong evidence of CD-association for 195 genes, identifying novel susceptibility genes (e.g., ISX, SLCO6A1, TMEM183A) as well as confirming many previously identified susceptibility genes in CD GWAS (e.g., IL23R, NOD2, CYLD, NKX2-3, IL12RB2, ATG16L1). Notably, 37 of the 59 chromosomal locations indicated for CD-association by a meta-analysis of CD GWAS, involving over 22,000 cases and 29,000 controls, were represented in the 195 genes, as well as some chromosomal locations previously indicated only in linkage studies, but not in GWAS. We repeated the analysis with two smaller GWASs from the Database of Genotype and Phenotype (dbGaP): in spite of differences of populations and study power across the three datasets, we observed some consistencies across the three datasets. Notable examples included TMEM183A and SLCO6A1 which exhibited strong evidence consistently in our WTCCC and both of the dbGaP SNP-SNP interaction analyses. Examining these specific forms of SNP interactions could identify additional genetic associations from GWAS. R codes, data examples, and a ReadMe file are available for download from our website: http://www.ualberta.ca/~yyasui/homepage.html.
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spelling pubmed-34705452012-10-15 SNP-SNP Interactions Discovered by Logic Regression Explain Crohn's Disease Genetics Dinu, Irina Mahasirimongkol, Surakameth Liu, Qi Yanai, Hideki Sharaf Eldin, Noha Kreiter, Erin Wu, Xuan Jabbari, Shahab Tokunaga, Katsushi Yasui, Yutaka PLoS One Research Article In genome-wide association studies (GWAS), the association between each single nucleotide polymorphism (SNP) and a phenotype is assessed statistically. To further explore genetic associations in GWAS, we considered two specific forms of biologically plausible SNP-SNP interactions, ‘SNP intersection’ and ‘SNP union,’ and analyzed the Crohn's Disease (CD) GWAS data of the Wellcome Trust Case Control Consortium for these interactions using a limited form of logic regression. We found strong evidence of CD-association for 195 genes, identifying novel susceptibility genes (e.g., ISX, SLCO6A1, TMEM183A) as well as confirming many previously identified susceptibility genes in CD GWAS (e.g., IL23R, NOD2, CYLD, NKX2-3, IL12RB2, ATG16L1). Notably, 37 of the 59 chromosomal locations indicated for CD-association by a meta-analysis of CD GWAS, involving over 22,000 cases and 29,000 controls, were represented in the 195 genes, as well as some chromosomal locations previously indicated only in linkage studies, but not in GWAS. We repeated the analysis with two smaller GWASs from the Database of Genotype and Phenotype (dbGaP): in spite of differences of populations and study power across the three datasets, we observed some consistencies across the three datasets. Notable examples included TMEM183A and SLCO6A1 which exhibited strong evidence consistently in our WTCCC and both of the dbGaP SNP-SNP interaction analyses. Examining these specific forms of SNP interactions could identify additional genetic associations from GWAS. R codes, data examples, and a ReadMe file are available for download from our website: http://www.ualberta.ca/~yyasui/homepage.html. Public Library of Science 2012-10-12 /pmc/articles/PMC3470545/ /pubmed/23071489 http://dx.doi.org/10.1371/journal.pone.0043035 Text en © 2012 Dinu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dinu, Irina
Mahasirimongkol, Surakameth
Liu, Qi
Yanai, Hideki
Sharaf Eldin, Noha
Kreiter, Erin
Wu, Xuan
Jabbari, Shahab
Tokunaga, Katsushi
Yasui, Yutaka
SNP-SNP Interactions Discovered by Logic Regression Explain Crohn's Disease Genetics
title SNP-SNP Interactions Discovered by Logic Regression Explain Crohn's Disease Genetics
title_full SNP-SNP Interactions Discovered by Logic Regression Explain Crohn's Disease Genetics
title_fullStr SNP-SNP Interactions Discovered by Logic Regression Explain Crohn's Disease Genetics
title_full_unstemmed SNP-SNP Interactions Discovered by Logic Regression Explain Crohn's Disease Genetics
title_short SNP-SNP Interactions Discovered by Logic Regression Explain Crohn's Disease Genetics
title_sort snp-snp interactions discovered by logic regression explain crohn's disease genetics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3470545/
https://www.ncbi.nlm.nih.gov/pubmed/23071489
http://dx.doi.org/10.1371/journal.pone.0043035
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