Multi-ancestry genome-wide association meta-analysis of mosaic loss of chromosome Y in the Million Veteran Program identifies 167 novel loci

Author:

Francis MichaelORCID,Gorman Bryan R.ORCID,Bigdeli Tim B.ORCID,Genovese GiulioORCID,Voloudakis GeorgiosORCID,Bendl JaroslavORCID,Zeng BiaoORCID,Venkatesh SananORCID,Chatzinakos ChrisORCID,McAuley ErinORCID,Ji Sun-GouORCID,Markianos KyriacosORCID,Schreiner Patrick A.ORCID,Partan ElizabethORCID,Shi Yunling,Devineni Poornima, ,Moser JenniferORCID,Muralidhar SumitraORCID,Ramoni RachelORCID,Bick Alexander G.ORCID,Natarajan PradeepORCID,Assimes Themistocles L.ORCID,Tsao Philip S.ORCID,Klarin DerekORCID,Tcheandjieu CatherineORCID,Peachey Neal S.ORCID,Iyengar Sudha K.ORCID,Roussos PanosORCID,Pyarajan SaijuORCID

Abstract

AbstractMosaic loss of chromosome Y (mLOY) is a common somatic mutation in leukocytes of older males. mLOY was detected in 126,108 participants of the Million Veteran Program: 106,054 European (EUR), 13,927 admixed African (AFR), and 6,127 Hispanic. In multi-ancestry genome-wide association analysis, we identified 323 genome-wide significant loci, 167 of which were novel–more than doubling the number of known mLOY loci. Tract-based ancestry deconvolution resolved local inflation at AFR lead SNPs. Transcriptome-wide associations yielded 2,297 significant genes, including seven additional novel genes; integrative eQTL analyses highlighted 51 genes that causally influence mLOY via differential expression. Thirty-two significant traits found in a phenome-wide polygenic score scan were used in Mendelian randomization (MR). MR implicated six traits as causal influences on mLOY: triglycerides, high-density lipoprotein, smoking, body mass index, testosterone, and sex hormone-binding globulin; and found influence of mLOY on plateletcrit, prostate cancer, lymphocyte percentage, and neutrophil percentage. These results mark a major step forward in our understanding of the genetic architecture of mLOY and its associated risks.

Publisher

Cold Spring Harbor Laboratory

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