posted on 2019-08-09, 13:22authored byAnnah B. Wyss, V' E. Jackson, et al
Nearly 100 loci have been identified for pulmonary function, almost exclusively in studies of European ancestry populations. We extend previous research by meta-analyzing genome-wide association studies of 1000 Genomes imputed variants in relation to pulmonary function in a multiethnic population of 90,715 individuals of European (N = 60,552), African (N = 8429), Asian (N = 9959), and Hispanic/Latino (N = 11,775) ethnicities. We identify over 50 additional loci at genome-wide significance in ancestry-specific or multiethnic meta-analyses. Using recent fine-mapping methods incorporating functional annotation, gene expression, and differences in linkage disequilibrium between ethnicities, we further shed light on potential causal variants and genes at known and newly identified loci. Several of the novel genes encode proteins with predicted or established drug targets, including KCNK2 and CDK12. Our study highlights the utility of multiethnic and integrative genomics approaches to extend existing knowledge of the genetics of lung function and clinical relevance of implicated loci.
Funding
We thank the International COPD Genetics Consortium (members listed in Supplementary Note 3) for investigating overlap of newly identified lung function loci with COPD in their study. We also thank Huiling Li for expert technical assistance and Dr. Frank Day for computational support, both from the National Institute of Environmental Health Sciences (NIEHS), and Dr. Louise Wain, University of Leicester, for critical reviews of the manuscript. Supported in part by the Intramural Research Program of the National Institutes of Health, NIEHS. Infrastructure for the CHARGE Consortium is supported in part by the National Heart, Lung, and Blood Institute Grant R01HL105756. Study-specific funding and acknowledgments can be found in Supplementary Note 3.
The complete meta-analysis results have been deposited in the
database of Genotypes and Phenotypes (dbGaP) under the CHARGE acquisition
number [phs000930]. GWAS data for most US studies are already available in
dbGAP. For all other studies, please send requests to the study PI or Stephanie
London (london2@niehs.nih.gov) who will forward them to the relevant party.
Requests for METAL code can be directed to Stephanie London. Supplementary Information accompanies this paper at https://doi.org/10.1038/s41467-
018-05369-0.