Dataset Information

A genome-wide survey of CD4(+) lymphocyte regulatory genetic variants identifies novel asthma genes.

ABSTRACT: Genome-wide association studies have yet to identify the majority of genetic variants involved in asthma. We hypothesized that expression quantitative trait locus (eQTL) mapping can identify novel asthma genes by enabling prioritization of putative functional variants for association testing.We evaluated 6706 cis-acting expression-associated variants (eSNPs) identified through a genome-wide eQTL survey of CD4(+) lymphocytes for association with asthma.eSNPs were tested for association with asthma in 359 asthmatic patients and 846 control subjects from the Childhood Asthma Management Program, with verification by using family-based testing. Significant associations were tested for replication in 579 parent-child trios with asthma from Costa Rica. Further functional validation was performed by using formaldehyde-assisted isolation of regulatory elements (FAIRE) quantitative PCR and chromatin immunoprecipitation PCR in lung-derived epithelial cell lines (Beas-2B and A549) and Jurkat cells, a leukemia cell line derived from T lymphocytes.Cis-acting eSNPs demonstrated associations with asthma in both cohorts. We confirmed the previously reported association of ORMDL3/GSDMB variants with asthma (combined P = 2.9 × 10(-8)). Reproducible associations were also observed for eSNPs in 3 additional genes: fatty acid desaturase 2 (FADS2; P = .002), N-acetyl-?-D-galactosaminidase (NAGA; P = .0002), and Factor XIII, A1 (F13A1; P = .0001). Subsequently, we demonstrated that FADS2 mRNA is increased in CD4(+) lymphocytes in asthmatic patients and that the associated eSNPs reside within DNA segments with histone modifications that denote open chromatin status and confer enhancer activity.Our results demonstrate the utility of eQTL mapping in the identification of novel asthma genes and provide evidence for the importance of FADS2, NAGA, and F13A1 in the pathogenesis of asthma.

SUBMITTER: Sharma S

PROVIDER: S-EPMC4253878 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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A genome-wide survey of CD4(+) lymphocyte regulatory genetic variants identifies novel asthma genes.

Sharma Sunita S Zhou Xiaobo X Thibault Derek M DM Himes Blanca E BE Liu Andy A Szefler Stanley J SJ Strunk Robert R Castro Mario M Hansel Nadia N NN Diette Gregory B GB Vonakis Becky M BM Adkinson N Franklin NF Avila Lydiana L Soto-Quiros Manuel M Barraza-Villareal Albino A Lemanske Robert F RF Solway Julian J Krishnan Jerry J White Steven R SR Cheadle Chris C Berger Alan E AE Fan Jinshui J Boorgula Meher Preethi MP Nicolae Dan D Gilliland Frank F Barnes Kathleen K London Stephanie J SJ Martinez Fernando F Ober Carole C Celedón Juan C JC Carey Vincent J VJ Weiss Scott T ST Raby Benjamin A BA

The Journal of allergy and clinical immunology 20140613 5

<h4>Background</h4>Genome-wide association studies have yet to identify the majority of genetic variants involved in asthma. We hypothesized that expression quantitative trait locus (eQTL) mapping can identify novel asthma genes by enabling prioritization of putative functional variants for association testing.<h4>Objective</h4>We evaluated 6706 cis-acting expression-associated variants (eSNPs) identified through a genome-wide eQTL survey of CD4(+) lymphocytes for association with asthma.<h4>Met ...[more]

PMID: 24934276

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Project description:BACKGROUND:Hundreds of genetic variants are thought to contribute to variation in asthma risk by modulating gene expression. Methods that increase the power of genome-wide association studies (GWASs) to identify risk-associated variants are needed. OBJECTIVE:We sought to develop a method that aggregates the evidence for association with disease risk across expression quantitative trait loci (eQTLs) of a gene and use this approach to identify asthma risk genes. METHODS:We developed a gene-based test and software package called EUGENE that (1) is applicable to GWAS summary statistics; (2) considers both cis- and trans-eQTLs; (3) incorporates eQTLs identified in different tissues; and (4) uses simulations to account for multiple testing. We applied this approach to 2 published asthma GWASs (combined n = 46,044) and used mouse studies to provide initial functional insights into 2 genes with novel genetic associations. RESULTS:We tested the association between asthma and 17,190 genes that were found to have cis- and/or trans-eQTLs across 16 published eQTL studies. At an empirical FDR of 5%, 48 genes were associated with asthma risk. Of these, for 37, the association was driven by eQTLs located in established risk loci for allergic disease, including 6 genes not previously implicated in disease cause (eg, LIMS1, TINF2, and SAFB). The remaining 11 significant genes represent potential novel genetic associations with asthma. The association with 4 of these replicated in an independent GWAS: B4GALT3, USMG5, P2RY13, and P2RY14, which are genes involved in nucleotide synthesis or nucleotide-dependent cell activation. In mouse studies, P2ry13 and P2ry14-purinergic receptors activated by adenosine 5-diphosphate and UDP-sugars, respectively-were upregulated after allergen challenge, notably in airway epithelial cells, eosinophils, and neutrophils. Intranasal exposure with receptor agonists induced the release of IL-33 and subsequent eosinophil infiltration into the lungs. CONCLUSION:We identified novel associations between asthma and eQTLs for 4 genes related to nucleotide synthesis/signaling and demonstrated the power of gene-based analyses of GWASs.

Dataset Information

A genome-wide survey of CD4(+) lymphocyte regulatory genetic variants identifies novel asthma genes.

Publications

A genome-wide survey of CD4(+) lymphocyte regulatory genetic variants identifies novel asthma genes.

Similar Datasets

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