Whole genome sequence analysis of pulmonary function and COPD in 44,287 multi-ancestry participants

Abstract Background Whole genome sequence (WGS) data in multi-ancestry samples supports discovery of low-frequency or population-specific genetic variants associated with chronic obstructive pulmonary disease (COPD) and lung function. Results We performed single variant, structural variant, and gene...

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Podrobná bibliografie

Hlavní autoři:	Wonji Kim, Xiaowei Hu, Kangjin Kim, Sung Chun, Peter Orchard, Dandi Qiao, Ingo Ruczinski, Aabida Saferali, Francois Aguet, Lucinda Antonacci-Fulton, Pallavi P. Balte, Traci M. Bartz, Wardatul Jannat Anamika, Xiaobo Zhou, JunYi Duan, Jennifer A. Brody, Brian E. Cade, Martha L. Daviglus, Harshavadran Doddapaneni, Shannon Dugan-Perez, Susan K. Dutcher, Christian D. Frazar, Stacey B. Gabriel, Sina A. Gharib, Namrata Gupta, Brian D. Hobbs, Silva Kasela, Laura R. Loehr, Ginger A. Metcalf, Donna M. Muzny, Elizabeth C. Oelsner, Laura J. Rasmussen-Torvik, Colleen M. Sitlani, Joshua Smith, Tamar Sofer, Hanfei Xu, Bing Yu, David Zhang, John Ziniti, R. Graham Barr, April P. Carson, Myriam Fornage, Lifang Hou, Ravi Kalhan, Robert Kaplan, Tuuli Lappalainen, Stephanie J. London, Alanna C. Morrison, George T. O’Connor, Bruce M. Psaty, Laura M. Raffield, Susan Redline, Stephen S. Rich, Jerome I. Rotter, Edwin K. Silverman, Ani Manichaikul, Michael H. Cho
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2026-01-01
Edice:	Genome Biology
Témata:	Multi-ancestry GWAS COPD Lung function Fine-mapping Colocalization with molecular QTLs Lung tissue single-cell RNA-seq validation
On-line přístup:	https://doi.org/10.1186/s13059-025-03921-y
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