Literature DB >> 27058054

Asthma susceptibility variants are more strongly associated with clinically similar subgroups.

Emilie Lavoie-Charland1, Jean-Christophe Bérubé1, Louis-Philippe Boulet1, Yohan Bossé1,2.   

Abstract

OBJECTIVE: Genome-wide association studies (GWAS) identified single nucleotide polymorphisms (SNPs) reproducibly associated with asthma. This study evaluated whether GWAS-nominated SNPs are more strongly associated with asthma patients sharing the same clinical characteristics in order to refine the role of recently identified genes.
METHODS: Analyses were performed in unrelated French Canadian subjects (566 cases and 416 controls) with data collected on lung function, blood cell counts, atopy, disease history and medication. Previously defined asthma subgroups were used for analysis: 1) older patients with low atopy and low lung function, 2) high atopy, 3) young non-smoking women and 4) high smoking history. Allele frequencies of 68 GWAS-nominated SNPs were compared between controls and cases or controls and subgroups of cases defined by cluster analysis.
RESULTS: Twelve GWAS-nominated SNPs demonstrated evidence of replication (p value < 0.05) for association with asthma. In phenotypically similar asthma patients, rs10197862, located in IL1RL1/IL18R1, was the most strongly associated SNP with the high atopy subgroup (p = 0.0009). SNPs located at the IL33 and the STARD3/PGAP3 loci were also associated with the high atopy subgroup. Two SNPs, rs1544791 (PDE4D) and rs3806932 (TSLP), were more strongly associated with the high smoking history subgroup than with asthma or any other subgroups. All 10 SNPs that replicated for asthma per se and within subgroups had lower p values in subgroups. Moreover, 12 SNPs were only replicated in a subgroup.
CONCLUSION: This study shows that the majority of GWAS-nominated SNPs are more strongly associated with homogeneous subgroups of asthma than broadly defined asthma.

Entities:  

Keywords:  Asthma genetics; GWAS; SNPs; cluster analysis; phenotypes

Mesh:

Substances:

Year:  2016        PMID: 27058054     DOI: 10.3109/02770903.2016.1165699

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  4 in total

1.  Gene Expression Correlated with Severe Asthma Characteristics Reveals Heterogeneous Mechanisms of Severe Disease.

Authors:  Brian D Modena; Eugene R Bleecker; William W Busse; Serpil C Erzurum; Benjamin M Gaston; Nizar N Jarjour; Deborah A Meyers; Jadranka Milosevic; John R Tedrow; Wei Wu; Naftali Kaminski; Sally E Wenzel
Journal:  Am J Respir Crit Care Med       Date:  2017-06-01       Impact factor: 21.405

Review 2.  Etiology of epithelial barrier dysfunction in patients with type 2 inflammatory diseases.

Authors:  Robert P Schleimer; Sergejs Berdnikovs
Journal:  J Allergy Clin Immunol       Date:  2017-06       Impact factor: 10.793

3.  Association of IL1RL1 rs3771180 and TSLP rs1837253 variants with asthma in the Guangxi Zhuang population in China.

Authors:  Yan Sun; Xuan Wei; Jingmin Deng; Jianquan Zhang; Zhiyi He; Meiling Yang; Siqiao Liang; Zhangrong Chen; Huajiao Qin
Journal:  J Clin Lab Anal       Date:  2019-05-07       Impact factor: 2.352

4.  Clustering by phenotype and genome-wide association study in autism.

Authors:  Akira Narita; Masato Nagai; Satoshi Mizuno; Soichi Ogishima; Gen Tamiya; Masao Ueki; Rieko Sakurai; Satoshi Makino; Taku Obara; Mami Ishikuro; Chizuru Yamanaka; Hiroko Matsubara; Yasutaka Kuniyoshi; Keiko Murakami; Fumihiko Ueno; Aoi Noda; Tomoko Kobayashi; Mika Kobayashi; Takuma Usuzaki; Hisashi Ohseto; Atsushi Hozawa; Masahiro Kikuya; Hirohito Metoki; Shigeo Kure; Shinichi Kuriyama
Journal:  Transl Psychiatry       Date:  2020-08-17       Impact factor: 6.222

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.