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Leveraging lung tissue transcriptome to uncover candidate causal genes in COPD genetic associations

Ma'en Obeidat, Maxime Lamontagne, Jean-Christophe Bérubé, Michael H. Cho, Brian D. Hobbs, Kim de Jong, H. Marike Boezen, the International COPD Genetics Consortium, David Nickle, Ke Hao, Wim Timens, Maarten van den Berge, Philippe Joubert, Michel Laviolette, Don D. Sin, Peter D. Paré, Yohan Bossé
doi: https://doi.org/10.1101/193938
Ma'en Obeidat
University of British Columbia;
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Maxime Lamontagne
Institut universitaire de cardiologie et de pneumologie de Québec;
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Jean-Christophe Bérubé
Institut universitaire de cardiologie et de pneumologie de Québec;
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Michael H. Cho
Brigham and Women's Hospital;
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Brian D. Hobbs
Brigham and Women's Hospital;
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Kim de Jong
University of Groningen;
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H. Marike Boezen
University of Groningen;
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-;
David Nickle
Merck Research Laboratories;
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Ke Hao
Icahn School of Medicine at Mount Sinai;
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Wim Timens
University of Groningen;
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Maarten van den Berge
University of Groningen;
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Philippe Joubert
Laval University
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Michel Laviolette
Laval University
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Don D. Sin
University of British Columbia;
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Peter D. Paré
University of British Columbia;
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Yohan Bossé
Laval University
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  • For correspondence: yohan.bosse@criucpq.ulaval.ca
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Abstract

We collated 129 non-overlapping risk loci for chronic obstructive pulmonary disease (COPD) from the GWAS literature. Using recent and complementary integrative genomics approaches, combining GWAS and lung eQTL results, we identified 12 novel COPD loci and corresponding causal genes. In addition, we mapped candidate causal genes for 60 out of the 129 GWAS-nominated loci as well as for four sub-genome-wide significant COPD risk loci derived from the largest GWAS on COPD. Mapping causal genes in lung tissue represents an important contribution on the genetics of COPD, enriches our biological interpretation of GWAS findings, and brings us closer to clinical translation of genetic associations.

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  • Posted September 26, 2017.

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Leveraging lung tissue transcriptome to uncover candidate causal genes in COPD genetic associations
Ma'en Obeidat, Maxime Lamontagne, Jean-Christophe Bérubé, Michael H. Cho, Brian D. Hobbs, Kim de Jong, H. Marike Boezen, the International COPD Genetics Consortium, David Nickle, Ke Hao, Wim Timens, Maarten van den Berge, Philippe Joubert, Michel Laviolette, Don D. Sin, Peter D. Paré, Yohan Bossé
bioRxiv 193938; doi: https://doi.org/10.1101/193938
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Leveraging lung tissue transcriptome to uncover candidate causal genes in COPD genetic associations
Ma'en Obeidat, Maxime Lamontagne, Jean-Christophe Bérubé, Michael H. Cho, Brian D. Hobbs, Kim de Jong, H. Marike Boezen, the International COPD Genetics Consortium, David Nickle, Ke Hao, Wim Timens, Maarten van den Berge, Philippe Joubert, Michel Laviolette, Don D. Sin, Peter D. Paré, Yohan Bossé
bioRxiv 193938; doi: https://doi.org/10.1101/193938

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