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Mobile element variation contributes to population-specific genome diversification, gene regulation and disease risk.
Kojima, Shohei; Koyama, Satoshi; Ka, Mirei; Saito, Yuka; Parrish, Erica H; Endo, Mikiko; Takata, Sadaaki; Mizukoshi, Misaki; Hikino, Keiko; Takeda, Atsushi; Gelinas, Asami F; Heaton, Steven M; Koide, Rie; Kamada, Anselmo J; Noguchi, Michiya; Hamada, Michiaki; Kamatani, Yoichiro; Murakawa, Yasuhiro; Ishigaki, Kazuyoshi; Nakamura, Yukio; Ito, Kaoru; Terao, Chikashi; Momozawa, Yukihide; Parrish, Nicholas F.
Afiliação
  • Kojima S; Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences and RIKEN Cluster for Pioneering Research, Yokohama, Japan. shohei.kojima@riken.jp.
  • Koyama S; Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Ka M; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Saito Y; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
  • Parrish EH; Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences and RIKEN Cluster for Pioneering Research, Yokohama, Japan.
  • Endo M; Next-Generation Precision Medicine Development, Integrative Genomics Laboratory, Graduate School of Medicine, Department of Medical Science, The University of Tokyo, Tokyo, Japan.
  • Takata S; Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences and RIKEN Cluster for Pioneering Research, Yokohama, Japan.
  • Mizukoshi M; Graduate School of Medical Life Science, Yokohama City University, Yokohama, Japan.
  • Hikino K; Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences and RIKEN Cluster for Pioneering Research, Yokohama, Japan.
  • Takeda A; Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Gelinas AF; Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Heaton SM; Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Koide R; Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Kamada AJ; Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
  • Noguchi M; Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan.
  • Hamada M; Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences and RIKEN Cluster for Pioneering Research, Yokohama, Japan.
  • Kamatani Y; Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences and RIKEN Cluster for Pioneering Research, Yokohama, Japan.
  • Murakawa Y; Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences and RIKEN Cluster for Pioneering Research, Yokohama, Japan.
  • Ishigaki K; Paleovirology Lab, Department of Biology, University of Oxford, Oxford, UK.
  • Nakamura Y; Cell Engineering Division, BioResource Research Center, RIKEN, Tsukuba, Japan.
  • Ito K; Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
  • Terao C; Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan.
  • Parrish NF; Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Nat Genet ; 55(6): 939-951, 2023 06.
Article em En | MEDLINE | ID: mdl-37169872
ABSTRACT
Mobile genetic elements (MEs) are heritable mutagens that recursively generate structural variants (SVs). ME variants (MEVs) are difficult to genotype and integrate in statistical genetics, obscuring their impact on genome diversification and traits. We developed a tool that accurately genotypes MEVs using short-read whole-genome sequencing (WGS) and applied it to global human populations. We find unexpected population-specific MEV differences, including an Alu insertion distribution distinguishing Japanese from other populations. Integrating MEVs with expression quantitative trait loci (eQTL) maps shows that MEV classes regulate tissue-specific gene expression by shared mechanisms, including creating or attenuating enhancers and recruiting post-transcriptional regulators, supporting class-wide interpretability. MEVs more often associate with gene expression changes than SNVs, thus plausibly impacting traits. Performing genome-wide association study (GWAS) with MEVs pinpoints potential causes of disease risk, including a LINE-1 insertion associated with keloid and fasciitis. This work implicates MEVs as drivers of human divergence and disease risk.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article