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Rare variants contribute disproportionately to quantitative trait variation in yeast.
| Content Provider | Europe PMC |
|---|---|
| Author | Bloom, Joshua S Boocock, James Treusch, Sebastian Sadhu, Meru J Day, Laura Oates-Barker, Holly Kruglyak, Leonid |
| Editor | Landry, Christian R Barkai, Naama |
| Copyright Year | 2019 |
| Abstract | 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. |
| Journal | eLife |
| Volume Number | 8 |
| PubMed Central reference number | PMC6892613 |
| PubMed reference number | 31647408 |
| e-ISSN | 2050084X |
| DOI | 10.7554/elife.49212 |
| Language | English |
| Publisher | eLife Sciences Publications, Ltd |
| Publisher Date | 2019-10-24 |
| Access Restriction | Open |
| Rights License | This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited. © 2019, Bloom et al |
| Subject Keyword | complex traits rare variants QTL genetic architecture S. cerevisiae |
| Content Type | Text |
| Resource Type | Article |
| Subject | Immunology and Microbiology Neuroscience Medicine Biochemistry, Genetics and Molecular Biology |