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Single-nucleus chromatin accessibility profiling highlights regulatory mechanisms of coronary artery disease risk.
Turner, Adam W; Hu, Shengen Shawn; Mosquera, Jose Verdezoto; Ma, Wei Feng; Hodonsky, Chani J; Wong, Doris; Auguste, Gaëlle; Song, Yipei; Sol-Church, Katia; Farber, Emily; Kundu, Soumya; Kundaje, Anshul; Lopez, Nicolas G; Ma, Lijiang; Ghosh, Saikat Kumar B; Onengut-Gumuscu, Suna; Ashley, Euan A; Quertermous, Thomas; Finn, Aloke V; Leeper, Nicholas J; Kovacic, Jason C; Björkegren, Johan L M; Zang, Chongzhi; Miller, Clint L.
Afiliação
  • Turner AW; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Hu SS; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Mosquera JV; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Ma WF; Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA.
  • Hodonsky CJ; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Wong D; Medical Scientist Training Program, University of Virginia, Charlottesville, VA, USA.
  • Auguste G; Department of Pathology, University of Virginia, Charlottesville, VA, USA.
  • Song Y; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Sol-Church K; Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA.
  • Farber E; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Kundu S; Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA.
  • Kundaje A; Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA.
  • Lopez NG; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Ma L; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Ghosh SKB; Department of Pathology, University of Virginia, Charlottesville, VA, USA.
  • Onengut-Gumuscu S; Genome Analysis & Technology Core, University of Virginia, Charlottesville, VA, USA.
  • Ashley EA; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Quertermous T; Genome Sciences Laboratory, University of Virginia, Charlottesville, VA, USA.
  • Finn AV; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Leeper NJ; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Kovacic JC; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Björkegren JLM; Division of Vascular Surgery, Department of Surgery, Stanford University, Stanford, CA, USA.
  • Zang C; Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Miller CL; CVPath Institute, Gaithersburg, MD, USA.
Nat Genet ; 54(6): 804-816, 2022 06.
Article em En | MEDLINE | ID: mdl-35590109
ABSTRACT
Coronary artery disease (CAD) is a complex inflammatory disease involving genetic influences across cell types. Genome-wide association studies have identified over 200 loci associated with CAD, where the majority of risk variants reside in noncoding DNA sequences impacting cis-regulatory elements. Here, we applied single-nucleus assay for transposase-accessible chromatin with sequencing to profile 28,316 nuclei across coronary artery segments from 41 patients with varying stages of CAD, which revealed 14 distinct cellular clusters. We mapped ~320,000 accessible sites across all cells, identified cell-type-specific elements and transcription factors, and prioritized functional CAD risk variants. We identified elements in smooth muscle cell transition states (for example, fibromyocytes) and functional variants predicted to alter smooth muscle cell- and macrophage-specific regulation of MRAS (3q22) and LIPA (10q23), respectively. We further nominated key driver transcription factors such as PRDM16 and TBX2. Together, this single-nucleus atlas provides a critical step towards interpreting regulatory mechanisms across the continuum of CAD risk.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Estudo de Associação Genômica Ampla Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Genet Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Estudo de Associação Genômica Ampla Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Genet Ano de publicação: 2022 Tipo de documento: Article