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Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program

Authors :
Brian E. Cade
Jiwon Lee
Tamar Sofer
Heming Wang
Man Zhang
Han Chen
Sina A. Gharib
Daniel J. Gottlieb
Xiuqing Guo
Jacqueline M. Lane
Jingjing Liang
Xihong Lin
Hao Mei
Sanjay R. Patel
Shaun M. Purcell
Richa Saxena
Neomi A. Shah
Daniel S. Evans
Craig L. Hanis
David R. Hillman
Sutapa Mukherjee
Lyle J. Palmer
Katie L. Stone
Gregory J. Tranah
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
Gonçalo R. Abecasis
Eric A. Boerwinkle
Adolfo Correa
L. Adrienne Cupples
Robert C. Kaplan
Deborah A. Nickerson
Kari E. North
Bruce M. Psaty
Jerome I. Rotter
Stephen S. Rich
Russell P. Tracy
Ramachandran S. Vasan
James G. Wilson
Xiaofeng Zhu
Susan Redline
TOPMed Sleep Working Group
Source :
Genome Medicine, Vol 13, Iss 1, Pp 1-17 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract Background Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing. Methods The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation

Details

Language :
English
ISSN :
1756994X
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.9b0744973c104537a83fb72db6105928
Document Type :
article
Full Text :
https://doi.org/10.1186/s13073-021-00917-8