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

Brian E CadeJiwon LeeTamar SoferHeming WangMan ZhangHan ChenSina A GharibDaniel J GottliebXiuqing GuoJacqueline M LaneJingjing LiangXihong LinHao MeiSanjay R PatelShaun M PurcellRicha SaxenaNeomi A ShahDaniel S EvansCraig L HanisDavid R HillmanSutapa MukherjeeLyle J PalmerKatie L StoneGregory J Tranahnull nullGonçalo R AbecasisEric A BoerwinkleAdolfo CorreaL Adrienne CupplesRobert C KaplanDeborah A NickersonKari E NorthBruce M PsatyJerome I RotterStephen S RichRussell P TracyRamachandran S VasanJames G WilsonXiaofeng ZhuSusan Redlinenull null
Published in: Genome medicine (2021)
We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.
Keyphrases
  • genome wide
  • dna methylation
  • copy number
  • genome wide identification
  • oxidative stress
  • physical activity
  • quality improvement
  • endothelial cells
  • gene expression
  • genome wide analysis
  • respiratory tract