Abstract:
: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.
journal_name
Nat Genetjournal_title
Nature geneticsauthors
Pala M,Zappala Z,Marongiu M,Li X,Davis JR,Cusano R,Crobu F,Kukurba KR,Gloudemans MJ,Reinier F,Berutti R,Piras MG,Mulas A,Zoledziewska M,Marongiu M,Sorokin EP,Hess GT,Smith KS,Busonero F,Maschio A,Steri M,Sidoredoi
10.1038/ng.3840subject
Has Abstractpub_date
2017-05-01 00:00:00pages
700-707issue
5eissn
1061-4036issn
1546-1718pii
ng.3840journal_volume
49pub_type
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