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Impact of the X Chromosome and sex on regulatory variation.
Kukurba, Kimberly R; Parsana, Princy; Balliu, Brunilda; Smith, Kevin S; Zappala, Zachary; Knowles, David A; Favé, Marie-Julie; Davis, Joe R; Li, Xin; Zhu, Xiaowei; Potash, James B; Weissman, Myrna M; Shi, Jianxin; Kundaje, Anshul; Levinson, Douglas F; Awadalla, Philip; Mostafavi, Sara; Battle, Alexis; Montgomery, Stephen B.
Affiliation
  • Kukurba KR; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
  • Parsana P; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA;
  • Balliu B; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA;
  • Smith KS; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA;
  • Zappala Z; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
  • Knowles DA; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA;
  • Favé MJ; Sainte-Justine University Hospital Research Centre, Department of Pediatrics, University of Montreal, Montreal, Québec H3T 1J4, Canada;
  • Davis JR; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
  • Li X; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA;
  • Zhu X; Department of Psychiatry, Stanford University School of Medicine, Stanford, California 94305, USA;
  • Potash JB; Department of Psychiatry, University of Iowa Hospitals & Clinics, Iowa City, Iowa 52242, USA;
  • Weissman MM; Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, New York 10032, USA;
  • Shi J; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA;
  • Kundaje A; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA; Department of Computer Science, Stanford University, Stanford, California 94305, USA;
  • Levinson DF; Department of Psychiatry, Stanford University School of Medicine, Stanford, California 94305, USA;
  • Awadalla P; Sainte-Justine University Hospital Research Centre, Department of Pediatrics, University of Montreal, Montreal, Québec H3T 1J4, Canada;
  • Mostafavi S; Department of Statistics, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada.
  • Battle A; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA; ajbattle@cs.jhu.edu smontgom@stanford.edu.
  • Montgomery SB; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA; Department of Computer Science, Stanford University, Stanford, California 94305, USA; ajbattle@cs.jhu.edu
Genome Res ; 26(6): 768-77, 2016 06.
Article in En | MEDLINE | ID: mdl-27197214
ABSTRACT
The X Chromosome, with its unique mode of inheritance, contributes to differences between the sexes at a molecular level, including sex-specific gene expression and sex-specific impact of genetic variation. Improving our understanding of these differences offers to elucidate the molecular mechanisms underlying sex-specific traits and diseases. However, to date, most studies have either ignored the X Chromosome or had insufficient power to test for the sex-specific impact of genetic variation. By analyzing whole blood transcriptomes of 922 individuals, we have conducted the first large-scale, genome-wide analysis of the impact of both sex and genetic variation on patterns of gene expression, including comparison between the X Chromosome and autosomes. We identified a depletion of expression quantitative trait loci (eQTL) on the X Chromosome, especially among genes under high selective constraint. In contrast, we discovered an enrichment of sex-specific regulatory variants on the X Chromosome. To resolve the molecular mechanisms underlying such effects, we generated chromatin accessibility data through ATAC-sequencing to connect sex-specific chromatin accessibility to sex-specific patterns of expression and regulatory variation. As sex-specific regulatory variants discovered in our study can inform sex differences in heritable disease prevalence, we integrated our data with genome-wide association study data for multiple immune traits identifying several traits with significant sex biases in genetic susceptibilities. Together, our study provides genome-wide insight into how genetic variation, the X Chromosome, and sex shape human gene regulation and disease.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromosomes, Human, X / Transcriptome Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Genome Res Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2016 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromosomes, Human, X / Transcriptome Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Genome Res Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2016 Type: Article