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Shared and unique 3D genomic features of substance use disorders across multiple cell types.
Trang, Khanh B; Chesi, Alessandra; Toikumo, Sylvanus; Pippin, James A; Pahl, Matthew C; O'Brien, Joan M; Amundadottir, Laufey T; Brown, Kevin M; Yang, Wenli; Welles, Jaclyn; Santoleri, Dominic; Titchenell, Paul M; Seale, Patrick; Zemel, Babette S; Wagley, Yadav; Hankenson, Kurt D; Kaestner, Klaus H; Anderson, Stewart A; Kayser, Matthew S; Wells, Andrew D; Kranzler, Henry R; Kember, Rachel L; Grant, Struan F A.
Afiliação
  • Trang KB; Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Chesi A; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Toikumo S; Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Pippin JA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Pahl MC; Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.
  • O'Brien JM; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Amundadottir LT; Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Brown KM; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Yang W; Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Welles J; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Santoleri D; Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, PA, USA.
  • Titchenell PM; Penn Medicine Center for Ophthalmic Genetics in Complex Disease, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, PA, USA.
  • Seale P; Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Zemel BS; Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Wagley Y; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Hankenson KD; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Kaestner KH; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Anderson SA; Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Kayser MS; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Wells AD; Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Kranzler HR; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Kember RL; Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Grant SFA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
medRxiv ; 2024 Jul 19.
Article em En | MEDLINE | ID: mdl-39072016
ABSTRACT
Recent genome-wide association studies (GWAS) have revealed shared genetic components among alcohol, opioid, tobacco and cannabis use disorders. However, the extent of the underlying shared causal variants and effector genes, along with their cellular context, remain unclear. We leveraged our existing 3D genomic datasets comprising high-resolution promoter-focused Capture-C/Hi-C, ATAC-seq and RNA-seq across >50 diverse human cell types to focus on genomic regions that coincide with GWAS loci. Using stratified LD regression, we determined the proportion of genomewide SNP heritability attributable to the features assayed across our cell types by integrating recent GWAS summary statistics for the relevant traits alcohol use disorder (AUD), tobacco use disorder (TUD), opioid use disorder (OUD) and cannabis use disorder (CanUD). Statistically significant enrichments (P<0.05) were observed in 14 specific cell types, with heritability reaching 9.2-fold for iPSC-derived cortical neurons and neural progenitors, confirming that they are crucial cell types for further functional exploration. Additionally, several pancreatic cell types, notably pancreatic beta cells, showed enrichment for TUD, with heritability enrichments up to 4.8-fold, suggesting genomic overlap with metabolic processes. Further investigation revealed significant positive genetic correlations between T2D with both TUD and CanUD (FDR<0.05) and a significant negative genetic correlation with AUD. Interestingly, after partitioning the heritability for each cell type's cis-regulatory elements, the correlation between T2D and TUD for pancreatic beta cells was greater (r=0.2) than the global genetic correlation value. Our study provides new genomic insights into substance use disorders and implicates cell types where functional follow-up studies could reveal causal variant-gene mechanisms underpinning these disorders.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article