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Rare variants contribute disproportionately to quantitative trait variation in yeast.
Bloom, Joshua S; Boocock, James; Treusch, Sebastian; Sadhu, Meru J; Day, Laura; Oates-Barker, Holly; Kruglyak, Leonid.
Afiliação
  • Bloom JS; Department of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
  • Boocock J; Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, United States.
  • Treusch S; Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, United States.
  • Sadhu MJ; Institute for Quantitative and Computational Biology, University of California, Los Angeles, Los Angeles, United States.
  • Day L; Department of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
  • Oates-Barker H; Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, United States.
  • Kruglyak L; Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, United States.
Elife ; 82019 10 24.
Article em En | MEDLINE | ID: mdl-31647408
How variants with different frequencies contribute to trait variation is a central question in genetics. We use a unique model system to disentangle the contributions of common and rare variants to quantitative traits. We generated ~14,000 progeny from crosses among 16 diverse yeast strains and identified thousands of quantitative trait loci (QTLs) for 38 traits. We combined our results with sequencing data for 1011 yeast isolates to show that rare variants make a disproportionate contribution to trait variation. Evolutionary analyses revealed that this contribution is driven by rare variants that arose recently, and that negative selection has shaped the relationship between variant frequency and effect size. We leveraged the structure of the crosses to resolve hundreds of QTLs to single genes. These results refine our understanding of trait variation at the population level and suggest that studies of rare variants are a fertile ground for discovery of genetic effects.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Variação Genética / Genoma Fúngico / Característica Quantitativa Herdável / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Idioma: En Revista: Elife Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Variação Genética / Genoma Fúngico / Característica Quantitativa Herdável / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Idioma: En Revista: Elife Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido