Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program.
Marsha M WheelerAdrienne M StilpShuquan RaoBjarni V HalldórssonDoruk BeyterJia WenAnna V MihkaylovaCaitlin P McHughJohn LaneMin-Zhi JiangLaura M RaffieldGoo JunFritz J SedlazeckGinger MetcalfYao YaoJoshua C BisNathalie ChamiPaul S de VriesPinkal DesaiJames S FloydYan GaoKai KammersWonji KimJee-Young MoonAakrosh RatanLisa R YanekLaura AlmasyLewis C BeckerJohn E BlangeroMichael H ChoJoanne E CurranMyriam FornageRobert C KaplanJoshua P LewisRuth J F LoosBraxton D MitchellAlanna C MorrisonMichael H PreussBruce M PsatyStephen S RichJerome I RotterHua TangRussell P TracyEric BoerwinkleGoncalo R AbecasisThomas W BlackwellAlbert Vernon SmithAndrew Danner JohnsonRasika A MathiasDeborah A NickersonMatthew P ConomosYun LiUnnur ÞorsteinsdóttirMagnus Karl MagnussonKari StefanssonNathan D PankratzDaniel E BauerPaul L AuerAlexander P ReinerPublished in: Nature communications (2022)
Genome-wide association studies have identified thousands of single nucleotide variants and small indels that contribute to variation in hematologic traits. While structural variants are known to cause rare blood or hematopoietic disorders, the genome-wide contribution of structural variants to quantitative blood cell trait variation is unknown. Here we utilized whole genome sequencing data in ancestrally diverse participants of the NHLBI Trans Omics for Precision Medicine program (N = 50,675) to detect structural variants associated with hematologic traits. Using single variant tests, we assessed the association of common and rare structural variants with red cell-, white cell-, and platelet-related quantitative traits and observed 21 independent signals (12 common and 9 rare) reaching genome-wide significance. The majority of these associations (N = 18) replicated in independent datasets. In genome-editing experiments, we provide evidence that a deletion associated with lower monocyte counts leads to disruption of an S1PR3 monocyte enhancer and decreased S1PR3 expression.
Keyphrases
- genome wide
- copy number
- dna methylation
- single cell
- genome editing
- crispr cas
- cell therapy
- poor prognosis
- dendritic cells
- genome wide association
- peripheral blood
- high resolution
- bone marrow
- rna seq
- endothelial cells
- gene expression
- mesenchymal stem cells
- quality improvement
- machine learning
- transcription factor
- mass spectrometry
- drug induced