Literature DB >> 25817197

Genomic architecture of asthma differs by sex.

Tesfaye B Mersha1, Lisa J Martin2, Jocelyn M Biagini Myers3, Melinda Butsch Kovacic4, Hua He5, Mark Lindsey6, Umasundari Sivaprasad7, Weiguo Chen8, Gurjit K Khurana Hershey9.   

Abstract

Asthma comprised of highly heterogeneous subphenotypes resulting from complex interplay between genetic and environmental stimuli. While much focus has been placed on extrinsic environmental stimuli, intrinsic environment such as sex can interact with genes to influence asthma risk. However, few studies have examined sex-specific genetic effects. The overall objective of this study was to evaluate if sex-based differences exist in genomic associations with asthma. We tested 411 asthmatics and 297 controls for presence of interactions and sex-stratified effects in 51 genes using both SNP and gene expression data. Logistic regression was used to test for association. Over half (55%) of the genetic variants identified in sex-specific analyses were not identified in the sex-combined analysis. Further, sex-stratified genetic analyses identified associations with significantly higher median effect sizes than sex-combined analysis for girls (p-value=6.5E-15) and for boys (p-value=1.0E-7). When gene expression data were analyzed to identify genes that were differentially expressed in asthma versus non-asthma, nearly one third (31%) of the probes identified in the sex-specific analyses were not identified in the sex-combined analysis. Both genetic and gene expression data suggest that the biologic underpinnings for asthma may differ by sex. Failure to recognize sex interactions in asthma greatly decreases the ability to detect significant genomic variation and may result in significant misrepresentation of genes and pathways important in asthma in different environments.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Asthma; Expression–Sex interaction; Gene–Sex interaction; Sex-stratified analysis

Mesh:

Year:  2015        PMID: 25817197      PMCID: PMC4458428          DOI: 10.1016/j.ygeno.2015.03.003

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


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