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Accounting for population structure in genetic studies of cystic fibrosis.

Authors :
Kingston H
Stilp AM
Gordon W
Broome J
Gogarten SM
Ling H
Barnard J
Dugan-Perez S
Ellinor PT
Gabriel S
Germer S
Gibbs RA
Gupta N
Rice K
Smith AV
Zody MC
Blackman SM
Cutting G
Knowles MR
Zhou YH
Rosenfeld M
Gibson RL
Bamshad M
Fohner A
Blue EE
Source :
HGG advances [HGG Adv] 2022 May 12; Vol. 3 (3), pp. 100117. Date of Electronic Publication: 2022 May 12 (Print Publication: 2022).
Publication Year :
2022

Abstract

CFTR F508del (c.1521_1523delCTT, p.Phe508delPhe) is the most common pathogenic allele underlying cystic fibrosis (CF), and its frequency varies in a geographic cline across Europe. We hypothesized that genetic variation associated with this cline is overrepresented in a large cohort (N > 5,000) of persons with CF who underwent whole-genome sequencing and that this pattern could result in spurious associations between variants correlated with both the F508del genotype and CF-related outcomes. Using principal-component (PC) analyses, we showed that variation in the CFTR region disproportionately contributes to a PC explaining a relatively high proportion of genetic variance. Variation near CFTR was correlated with population structure among persons with CF, and this correlation was driven by a subset of the sample inferred to have European ancestry. We performed genome-wide association studies comparing persons with CF with one versus two copies of the F508del allele; this allowed us to identify genetic variation associated with the F508del allele and to determine that standard PC-adjustment strategies eliminated the significant association signals. Our results suggest that PC adjustment can adequately prevent spurious associations between genetic variants and CF-related traits and are therefore effective tools to control for population structure even when population structure is confounded with disease severity and a common pathogenic variant.<br />Competing Interests: M.B. is the editor-in-chief and J.X.C. (member of the Cystic Fibrosis Genome Project) is the deputy editor of HGG Advances. The authors declare no other competing interests.<br /> (© 2022 The Author(s).)

Details

Language :
English
ISSN :
2666-2477
Volume :
3
Issue :
3
Database :
MEDLINE
Journal :
HGG advances
Publication Type :
Academic Journal
Accession number :
35647563
Full Text :
https://doi.org/10.1016/j.xhgg.2022.100117