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Leveraging Base Pair Mammalian Constraint to Understand Genetic Variation and Human Disease.
Sullivan, Patrick F; Meadows, Jennifer R S; Gazal, Steven; Phan, BaDoi N; Li, Xue; Genereux, Diane P; Dong, Michael X; Bianchi, Matteo; Andrews, Gregory; Sakthikumar, Sharadha; Nordin, Jessika; Roy, Ananya; Christmas, Matthew J; Marinescu, Voichita D; Wallerman, Ola; Xue, James R; Li, Yun; Yao, Shuyang; Sun, Quan; Szatkiewicz, Jin; Wen, Jia; Huckins, Laura M; Lawler, Alyssa J; Keough, Kathleen C; Zheng, Zhili; Zeng, Jian; Wray, Naomi R; Johnson, Jessica; Chen, Jiawen; Paten, Benedict; Reilly, Steven K; Hughes, Graham M; Weng, Zhiping; Pollard, Katherine S; Pfenning, Andreas R; Forsberg-Nilsson, Karin; Karlsson, Elinor K; Lindblad-Toh, Kerstin.
Afiliação
  • Sullivan PF; Department of Genetics, University of North Carolina Medical School; Chapel Hill, NC 27599, USA.
  • Meadows JRS; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet; Stockholm, Sweden.
  • Gazal S; Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University; Uppsala, 751 32, Sweden.
  • Phan BN; Keck School of Medicine, University of Southern California; Los Angeles, CA 90033, USA.
  • Li X; Department of Computational Biology, School of Computer Science, Carnegie Mellon University; Pittsburgh, PA 15213, USA.
  • Genereux DP; Medical Scientist Training Program, University of Pittsburgh School of Medicine; Pittsburgh, PA 15261, USA.
  • Dong MX; Neuroscience Institute, Carnegie Mellon University; Pittsburgh, PA 15213, USA.
  • Bianchi M; Broad Institute of MIT and Harvard; Cambridge, MA 02139, USA.
  • Andrews G; Morningside Graduate School of Biomedical Sciences, UMass Chan Medical School; Worcester, MA 01605, USA.
  • Sakthikumar S; Program in Bioinformatics and Integrative Biology, UMass Chan Medical School; Worcester, MA 01605, USA.
  • Nordin J; Broad Institute of MIT and Harvard; Cambridge, MA 02139, USA.
  • Roy A; Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University; Uppsala, 751 32, Sweden.
  • Christmas MJ; Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University; Uppsala, 751 32, Sweden.
  • Marinescu VD; Program in Bioinformatics and Integrative Biology, UMass Chan Medical School; Worcester, MA 01605, USA.
  • Wallerman O; Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University; Uppsala, 751 32, Sweden.
  • Xue JR; Broad Institute of MIT and Harvard; Cambridge, MA 02139, USA.
  • Li Y; Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University; Uppsala, 751 85, Sweden.
  • Yao S; Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University; Uppsala, 751 85, Sweden.
  • Sun Q; Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University; Uppsala, 751 32, Sweden.
  • Szatkiewicz J; Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University; Uppsala, 751 32, Sweden.
  • Wen J; Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University; Uppsala, 751 32, Sweden.
  • Huckins LM; Broad Institute of MIT and Harvard; Cambridge, MA 02139, USA.
  • Lawler AJ; Department of Organismic and Evolutionary Biology, Harvard University; Cambridge, MA 02138, USA.
  • Keough KC; Department of Genetics, University of North Carolina Medical School; Chapel Hill, NC 27599, USA.
  • Zheng Z; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet; Stockholm, Sweden.
  • Zeng J; Department of Biostatistics, University of North Carolina at Chapel Hill; Chapel Hill, NC, USA.
  • Wray NR; Department of Genetics, University of North Carolina Medical School; Chapel Hill, NC 27599, USA.
  • Johnson J; Department of Genetics, University of North Carolina Medical School; Chapel Hill, NC 27599, USA.
  • Chen J; Department of Psychiatry, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA.
  • Paten B; Broad Institute of MIT and Harvard; Cambridge, MA 02139, USA.
  • Reilly SK; Department of Biological Sciences, Mellon College of Science, Carnegie Mellon University; Pittsburgh, PA 15213, USA.
  • Hughes GM; Department of Epidemiology & Biostatistics, University of California San Francisco; San Francisco, CA 94158, USA.
  • Weng Z; Fauna Bio Incorporated; Emeryville, CA 94608, USA.
  • Pollard KS; Gladstone Institutes; San Francisco, CA 94158, USA.
  • Pfenning AR; Institute for Molecular Bioscience, University of Queensland; Brisbane, Queensland, Australia.
  • Forsberg-Nilsson K; Institute for Molecular Bioscience, University of Queensland; Brisbane, Queensland, Australia.
  • Karlsson EK; Institute for Molecular Bioscience, University of Queensland; Brisbane, Queensland, Australia.
  • Lindblad-Toh K; Queensland Brain Institute, University of Queensland; Brisbane, Queensland, Australia.
bioRxiv ; 2023 Mar 10.
Article em En | MEDLINE | ID: mdl-36945512
ABSTRACT
Although thousands of genomic regions have been associated with heritable human diseases, attempts to elucidate biological mechanisms are impeded by a general inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function that is agnostic to cell type or disease mechanism. Here, single base phyloP scores from the whole genome alignment of 240 placental mammals identified 3.5% of the human genome as significantly constrained, and likely functional. We compared these scores to large-scale genome annotation, genome-wide association studies (GWAS), copy number variation, clinical genetics findings, and cancer data sets. Evolutionarily constrained positions are enriched for variants explaining common disease heritability (more than any other functional annotation). Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos