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Expression Quantitative Trait Loci (eQTL) Mapping in Puerto Rican Children
BACKGROUND: Expression quantitative trait loci (eQTL) have been identified using tissue or cell samples from diverse human populations, thus enhancing our understanding of regulation of gene expression. However, few studies have attempted to identify eQTL in racially admixed populations such as Hisp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376710/ https://www.ncbi.nlm.nih.gov/pubmed/25816334 http://dx.doi.org/10.1371/journal.pone.0122464 |
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author | Chen, Wei Brehm, John M. Lin, Jerome Wang, Ting Forno, Erick Acosta-Pérez, Edna Boutaoui, Nadia Canino, Glorisa Celedón, Juan C. |
author_facet | Chen, Wei Brehm, John M. Lin, Jerome Wang, Ting Forno, Erick Acosta-Pérez, Edna Boutaoui, Nadia Canino, Glorisa Celedón, Juan C. |
author_sort | Chen, Wei |
collection | PubMed |
description | BACKGROUND: Expression quantitative trait loci (eQTL) have been identified using tissue or cell samples from diverse human populations, thus enhancing our understanding of regulation of gene expression. However, few studies have attempted to identify eQTL in racially admixed populations such as Hispanics. METHODS: We performed a systematic eQTL study to identify regulatory variants of gene expression in whole blood from 121 Puerto Rican children with (n = 63) and without (n = 58) asthma. Genome-wide genotyping was conducted using the Illumina Omni2.5M Bead Chip, and gene expression was assessed using the Illumina HT-12 microarray. After completing quality control, we performed a pair-wise genome analysis of ~15 K transcripts and ~1.3 M SNPs for both local and distal effects. This analysis was conducted under a regression framework adjusting for age, gender and principal components derived from both genotypic and mRNA data. We used a false discovery rate (FDR) approach to identify significant eQTL signals, which were next compared to top eQTL signals from existing eQTL databases. We then performed a pathway analysis for our top genes. RESULTS: We identified 36,720 local pairs in 3,391 unique genes and 1,851 distal pairs in 446 unique genes at FDR <0.05, corresponding to unadjusted P values lower than 1.5x10(-4) and 4.5x10(-9), respectively. A significant proportion of genes identified in our study overlapped with those identified in previous studies. We also found an enrichment of disease-related genes in our eQTL list. CONCLUSIONS: We present results from the first eQTL study in Puerto Rican children, who are members of a unique Hispanic cohort disproportionately affected with asthma, prematurity, obesity and other common diseases. Our study confirmed eQTL signals identified in other ethnic groups, while also detecting additional eQTLs unique to our study population. The identified eQTLs will help prioritize findings from future genome-wide association studies in Puerto Ricans. |
format | Online Article Text |
id | pubmed-4376710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43767102015-04-04 Expression Quantitative Trait Loci (eQTL) Mapping in Puerto Rican Children Chen, Wei Brehm, John M. Lin, Jerome Wang, Ting Forno, Erick Acosta-Pérez, Edna Boutaoui, Nadia Canino, Glorisa Celedón, Juan C. PLoS One Research Article BACKGROUND: Expression quantitative trait loci (eQTL) have been identified using tissue or cell samples from diverse human populations, thus enhancing our understanding of regulation of gene expression. However, few studies have attempted to identify eQTL in racially admixed populations such as Hispanics. METHODS: We performed a systematic eQTL study to identify regulatory variants of gene expression in whole blood from 121 Puerto Rican children with (n = 63) and without (n = 58) asthma. Genome-wide genotyping was conducted using the Illumina Omni2.5M Bead Chip, and gene expression was assessed using the Illumina HT-12 microarray. After completing quality control, we performed a pair-wise genome analysis of ~15 K transcripts and ~1.3 M SNPs for both local and distal effects. This analysis was conducted under a regression framework adjusting for age, gender and principal components derived from both genotypic and mRNA data. We used a false discovery rate (FDR) approach to identify significant eQTL signals, which were next compared to top eQTL signals from existing eQTL databases. We then performed a pathway analysis for our top genes. RESULTS: We identified 36,720 local pairs in 3,391 unique genes and 1,851 distal pairs in 446 unique genes at FDR <0.05, corresponding to unadjusted P values lower than 1.5x10(-4) and 4.5x10(-9), respectively. A significant proportion of genes identified in our study overlapped with those identified in previous studies. We also found an enrichment of disease-related genes in our eQTL list. CONCLUSIONS: We present results from the first eQTL study in Puerto Rican children, who are members of a unique Hispanic cohort disproportionately affected with asthma, prematurity, obesity and other common diseases. Our study confirmed eQTL signals identified in other ethnic groups, while also detecting additional eQTLs unique to our study population. The identified eQTLs will help prioritize findings from future genome-wide association studies in Puerto Ricans. Public Library of Science 2015-03-27 /pmc/articles/PMC4376710/ /pubmed/25816334 http://dx.doi.org/10.1371/journal.pone.0122464 Text en © 2015 Chen 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 Chen, Wei Brehm, John M. Lin, Jerome Wang, Ting Forno, Erick Acosta-Pérez, Edna Boutaoui, Nadia Canino, Glorisa Celedón, Juan C. Expression Quantitative Trait Loci (eQTL) Mapping in Puerto Rican Children |
title | Expression Quantitative Trait Loci (eQTL) Mapping in Puerto Rican Children |
title_full | Expression Quantitative Trait Loci (eQTL) Mapping in Puerto Rican Children |
title_fullStr | Expression Quantitative Trait Loci (eQTL) Mapping in Puerto Rican Children |
title_full_unstemmed | Expression Quantitative Trait Loci (eQTL) Mapping in Puerto Rican Children |
title_short | Expression Quantitative Trait Loci (eQTL) Mapping in Puerto Rican Children |
title_sort | expression quantitative trait loci (eqtl) mapping in puerto rican children |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376710/ https://www.ncbi.nlm.nih.gov/pubmed/25816334 http://dx.doi.org/10.1371/journal.pone.0122464 |
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