Genome MedicineGeneticsPeer-reviewed journal article
Whole-Genome Association Analyses of Sleep-disordered Breathing Phenotypes in the NHLBI TOPMed Program
Brian E. CadeiD, Jiwon LeeiD, Tamar SoferiD, Heming WangiD, Man ZhangiD, Han CheniD, Sina A. GharibiD, Daniel J. GottliebiD, Xiuqing GuoiD, Jacqueline M. LaneiD, Jingjing LiangiD, Xihong LiniD, Hao MeiiD, Sanjay R. PateliD, Shaun PurcelliD, Richa SaxenaiD, Neomi A. ShahiD, Daniel S. EvansiD, Craig L. HanisiD, David R. HillmaniD, Sutapa MukherjeeiD, Lyle John PalmeriD, Katie L. StoneiD, Gregory J. TranahiD, Namiko AbeiD, , Scott E. DevineiD
Abstract
Sleep-disordered breathing (SDB) is a common disorder associated with significant morbidity. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program we report the first whole-genome sequence analysis of SDB. We identified 4 rare gene-based associations with SDB traits in 7,988 individuals of diverse ancestry and 4 replicated common variant associations with inclusion of additional samples (n=13,257). We identified a multi-ethnic set-based rare-variant association (p = 3.48 x 10-8) on chromosome X with ARMCX3. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Results highlighted associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis and HIF1A-mediated hypoxic response.
- organism: human
- assay: whole-genome sequencing
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 33
- FWCI
- 4.24
- Field percentile
- top 5%
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