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Population- and individual-specific regulatory variation in Sardinia
Mauro Pala1,2,3, Zachary Zappala4, Mara Marongiu1
1Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy.
This study identifies regulatory variants influencing gene expression and splicing in Sardinian individuals. These findings offer new methods to study large-effect regulatory variants and their connection to population history and genetic risk.
Area of Science:
- Genomics
- Population Genetics
- Molecular Biology
Background:
- Complex traits are often associated with noncoding genetic variants.
- Understanding regulatory variation is crucial for deciphering trait heritability.
Purpose of the Study:
- To identify common and rare variants affecting gene expression and splicing.
- To explore the role of regulatory variation in population history and disease risk.
Main Methods:
- Combined whole-genome and transcriptome data from 624 Sardinian individuals.
- Identified expression quantitative trait loci (eQTLs) and splicing quantitative trait loci (sQTLs).
- Analyzed segregating expression outliers and their association with rare variants.
Main Results:
- Discovered 21,183 eQTLs and 6,768 sQTLs, including 619 novel QTLs.
- Found evidence of selection near genes related to malarial resistance and multiple sclerosis risk.
- Identified 809 segregating expression outliers, enriched for proximal rare variants.
Conclusions:
- Regulatory variants significantly impact gene expression and splicing.
- This study provides a novel approach to investigate large-effect regulatory variants.
- Findings link regulatory variation to population history and individual genetic risk.
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