Population- and individual-specific regulatory variation in Sardinia
Francesco Cucca, Stephen Montgomery and colleagues identify regulatory variants that influence gene expression and splicing using whole-genome and transcriptome sequence data from 624 Sardinians. They find a high frequency of splicing and expression quantitative trait loci near genes involved in mal...
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| Vydáno v: | Nature genetics Ročník 49; číslo 5; s. 700 - 707 |
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| Hlavní autoři: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
Nature Publishing Group US
01.05.2017
Nature Publishing Group |
| Témata: | |
| ISSN: | 1061-4036, 1546-1718, 1546-1718 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Francesco Cucca, Stephen Montgomery and colleagues identify regulatory variants that influence gene expression and splicing using whole-genome and transcriptome sequence data from 624 Sardinians. They find a high frequency of splicing and expression quantitative trait loci near genes involved in malarial resistance and multiple sclerosis.
Genetic studies of complex traits have mainly identified associations with noncoding variants. To further determine the contribution of regulatory variation, we combined whole-genome and transcriptome data for 624 individuals from Sardinia to identify common and rare variants that influence gene expression and splicing. We identified 21,183 expression quantitative trait loci (eQTLs) and 6,768 splicing quantitative trait loci (sQTLs), including 619 new QTLs. We identified high-frequency QTLs and found evidence of selection near genes involved in malarial resistance and increased multiple sclerosis risk, reflecting the epidemiological history of Sardinia. Using family relationships, we identified 809 segregating expression outliers (median
z
score of 2.97), averaging 13.3 genes per individual. Outlier genes were enriched for proximal rare variants, providing a new approach to study large-effect regulatory variants and their relevance to traits. Our results provide insight into the effects of regulatory variants and their relationship to population history and individual genetic risk. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Equal contributions statement co-first authors These authors contributed equally: Mauro Pala, Zachary Zappala co-senior authors |
| ISSN: | 1061-4036 1546-1718 1546-1718 |
| DOI: | 10.1038/ng.3840 |