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Cis-regulatory Landscape Size, Constraint, and Tissue Specificity Associate with Gene Function and Expression.
Benton, Mary Lauren; Ruderfer, Douglas M; Capra, John A.
Afiliación
  • Benton ML; Department of Computer Science, Baylor University, Waco, Texas, USA.
  • Ruderfer DM; Departments of Medicine, Psychiatry and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Capra JA; Department of Epidemiology and Biostatistics, University of California at San Francisco, USA.
Genome Biol Evol ; 15(7)2023 07 03.
Article en En | MEDLINE | ID: mdl-37410590
ABSTRACT
Multiple distal cis-regulatory elements (CREs) often cooperate to regulate gene expression, and the presence of multiple CREs for a gene has been proposed to provide redundancy and robustness to variation. However, we do not understand how attributes of a gene's distal CRE landscape-the CREs that contribute to its regulation-relate to its expression and function. Here, we integrate three-dimensional chromatin conformation and functional genomics data to quantify the CRE landscape composition genome-wide across ten human tissues and relate their attributes to the function, constraint, and expression patterns of genes. Within each tissue, we find that expressed genes have larger CRE landscapes than nonexpressed genes and that genes with tissue-specific CREs are more likely to have tissue-specific expression. Controlling for the association between expression level and CRE landscape size, we also find that CRE landscapes around genes under strong constraint (e.g., loss-of-function intolerant and housekeeping genes) are not significantly smaller than other expressed genes as previously proposed; however, they do have more evolutionarily conserved sequences than CREs of expressed genes overall. We also show that CRE landscape size does not associate with expression variability across individuals; nonetheless, genes with larger CRE landscapes have a relative depletion for variants that influence expression levels (expression quantitative trait loci). Overall, this work illustrates how differences in gene function, expression, and evolutionary constraint are reflected in features of CRE landscapes. Thus, considering the CRE landscape of a gene is vital for understanding gene expression dynamics across biological contexts and interpreting the effects of noncoding genetic variants.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Secuencias Reguladoras de Ácidos Nucleicos / Genómica Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Genome Biol Evol Asunto de la revista: BIOLOGIA / BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Secuencias Reguladoras de Ácidos Nucleicos / Genómica Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Genome Biol Evol Asunto de la revista: BIOLOGIA / BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos