Cargando…

Limited overlap in significant hits between genome-wide association studies on two airflow obstruction definitions in the same population

BACKGROUND: Airflow obstruction is a hallmark of chronic obstructive pulmonary disease (COPD), and is defined as either the ratio between forced expiratory volume in one second and forced vital capacity (FEV(1)/FVC) < 70% or < lower limit of normal (LLN). This study aimed to assess the overlap...

Descripción completa

Detalles Bibliográficos
Autores principales: van der Plaat, Diana A., Vonk, Judith M., Lahousse, Lies, de Jong, Kim, Faiz, Alen, Nedeljkovic, Ivana, Amin, Najaf, van Diemen, Cleo C., Brusselle, Guy G., Bossé, Yohan, Brandsma, Corry-Anke, Hao, Ke, Paré, Peter D., van Duijn, Cornelia M., Postma, Dirkje S., Boezen, H. Marike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407273/
https://www.ncbi.nlm.nih.gov/pubmed/30845926
http://dx.doi.org/10.1186/s12890-019-0811-0
Descripción
Sumario:BACKGROUND: Airflow obstruction is a hallmark of chronic obstructive pulmonary disease (COPD), and is defined as either the ratio between forced expiratory volume in one second and forced vital capacity (FEV(1)/FVC) < 70% or < lower limit of normal (LLN). This study aimed to assess the overlap between genome-wide association studies (GWAS) on airflow obstruction using these two definitions in the same population stratified by smoking. METHODS: GWASes were performed in the LifeLines Cohort Study for both airflow obstruction definitions in never-smokers (NS = 5071) and ever-smokers (ES = 4855). The FEV(1)/FVC < 70% models were adjusted for sex, age, and height; FEV(1)/FVC < LLN models were not adjusted. Ever-smokers models were additionally adjusted for pack-years and current-smoking. The overlap in significantly associated SNPs between the two definitions and never/ever-smokers was assessed using several p-value thresholds. To quantify the agreement, the Pearson correlation coefficient was calculated between the p-values and ORs. Replication was performed in the Vlagtwedde-Vlaardingen study (NS = 432, ES = 823). The overlapping SNPs with p < 10(− 4) were validated in the Vlagtwedde-Vlaardingen and Rotterdam Study cohorts (NS = 1966, ES = 3134) and analysed for expression quantitative trait loci (eQTL) in lung tissue (n = 1087). RESULTS: In the LifeLines cohort, 96% and 93% of the never- and ever-smokers were classified concordantly based on the two definitions. 26 and 29% of the investigated SNPs were overlapping at p < 0.05 in never- and ever-smokers, respectively. At p < 10(− 4) the overlap was 4% and 6% respectively, which could be change findings as shown by simulation studies. The effect estimates of the SNPs of the two definitions correlated strongly, but the p-values showed more variation and correlated only moderately. Similar observations were made in the Vlagtwedde-Vlaardingen study. Two overlapping SNPs in never-smokers (NFYC and FABP7) had the same direction of effect in the validation cohorts and the NFYC SNP was an eQTL for NFYC-AS1. NFYC is a transcription factor that binds to several known COPD genes, and FABP7 may be involved in abnormal pulmonary development. CONCLUSIONS: The definition of airflow obstruction and the population under study may be important determinants of which SNPs are associated with airflow obstruction. The genes FABP7 and NFYC(-AS1) could play a role in airflow obstruction in never-smokers specifically. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12890-019-0811-0) contains supplementary material, which is available to authorized users.