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Accounting for population structure in genetic studies of cystic fibrosis

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) o...

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Autores principales: Kingston, Hanley, Stilp, Adrienne M., Gordon, William, Broome, Jai, Gogarten, Stephanie M., Ling, Hua, Barnard, John, Dugan-Perez, Shannon, Ellinor, Patrick T., Gabriel, Stacey, Germer, Soren, Gibbs, Richard A., Gupta, Namrata, Rice, Kenneth, Smith, Albert V., Zody, Michael C., Blackman, Scott M., Cutting, Garry, Knowles, Michael R., Zhou, Yi-Hui, Rosenfeld, Margaret, Gibson, Ronald L., Bamshad, Michael, Fohner, Alison, Blue, Elizabeth E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136666/
https://www.ncbi.nlm.nih.gov/pubmed/35647563
http://dx.doi.org/10.1016/j.xhgg.2022.100117
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author Kingston, Hanley
Stilp, Adrienne M.
Gordon, William
Broome, Jai
Gogarten, Stephanie M.
Ling, Hua
Barnard, John
Dugan-Perez, Shannon
Ellinor, Patrick T.
Gabriel, Stacey
Germer, Soren
Gibbs, Richard A.
Gupta, Namrata
Rice, Kenneth
Smith, Albert V.
Zody, Michael C.
Blackman, Scott M.
Cutting, Garry
Knowles, Michael R.
Zhou, Yi-Hui
Rosenfeld, Margaret
Gibson, Ronald L.
Bamshad, Michael
Fohner, Alison
Blue, Elizabeth E.
author_facet Kingston, Hanley
Stilp, Adrienne M.
Gordon, William
Broome, Jai
Gogarten, Stephanie M.
Ling, Hua
Barnard, John
Dugan-Perez, Shannon
Ellinor, Patrick T.
Gabriel, Stacey
Germer, Soren
Gibbs, Richard A.
Gupta, Namrata
Rice, Kenneth
Smith, Albert V.
Zody, Michael C.
Blackman, Scott M.
Cutting, Garry
Knowles, Michael R.
Zhou, Yi-Hui
Rosenfeld, Margaret
Gibson, Ronald L.
Bamshad, Michael
Fohner, Alison
Blue, Elizabeth E.
author_sort Kingston, Hanley
collection PubMed
description 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.
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spelling pubmed-91366662022-05-28 Accounting for population structure in genetic studies of cystic fibrosis Kingston, Hanley Stilp, Adrienne M. Gordon, William Broome, Jai Gogarten, Stephanie M. Ling, Hua Barnard, John Dugan-Perez, Shannon Ellinor, Patrick T. Gabriel, Stacey Germer, Soren Gibbs, Richard A. Gupta, Namrata Rice, Kenneth Smith, Albert V. Zody, Michael C. Blackman, Scott M. Cutting, Garry Knowles, Michael R. Zhou, Yi-Hui Rosenfeld, Margaret Gibson, Ronald L. Bamshad, Michael Fohner, Alison Blue, Elizabeth E. HGG Adv Article 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. Elsevier 2022-05-12 /pmc/articles/PMC9136666/ /pubmed/35647563 http://dx.doi.org/10.1016/j.xhgg.2022.100117 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Kingston, Hanley
Stilp, Adrienne M.
Gordon, William
Broome, Jai
Gogarten, Stephanie M.
Ling, Hua
Barnard, John
Dugan-Perez, Shannon
Ellinor, Patrick T.
Gabriel, Stacey
Germer, Soren
Gibbs, Richard A.
Gupta, Namrata
Rice, Kenneth
Smith, Albert V.
Zody, Michael C.
Blackman, Scott M.
Cutting, Garry
Knowles, Michael R.
Zhou, Yi-Hui
Rosenfeld, Margaret
Gibson, Ronald L.
Bamshad, Michael
Fohner, Alison
Blue, Elizabeth E.
Accounting for population structure in genetic studies of cystic fibrosis
title Accounting for population structure in genetic studies of cystic fibrosis
title_full Accounting for population structure in genetic studies of cystic fibrosis
title_fullStr Accounting for population structure in genetic studies of cystic fibrosis
title_full_unstemmed Accounting for population structure in genetic studies of cystic fibrosis
title_short Accounting for population structure in genetic studies of cystic fibrosis
title_sort accounting for population structure in genetic studies of cystic fibrosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136666/
https://www.ncbi.nlm.nih.gov/pubmed/35647563
http://dx.doi.org/10.1016/j.xhgg.2022.100117
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