Prioritizing disease and trait causal variants at the TNFAIP3 locus using functional and genomic features
John P Ray1, Carl G de Boer1,2, Charles P Fulco1,3
1Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
Nature Communications
|March 8, 2020
Summary
Identifying causal genetic variants for complex diseases is challenging. This study uses experimental assays to pinpoint disease-associated variants at the TNFAIP3 locus, improving variant identification strategies.
Area of Science:
- Genetics
- Genomics
- Immunology
Background:
- Genome-wide association studies (GWAS) identify thousands of genetic variants linked to complex traits and diseases.
- Distinguishing causal variants from linked variants in linkage disequilibrium remains a significant hurdle in genetic research.
Purpose of the Study:
- To develop and apply a comprehensive strategy for characterizing genetic variants at disease-associated loci.
- To identify causal variants within the TNFAIP3 locus using experimental assays and regulatory potential features.
Main Methods:
- Utilized seven experimental assays to assess common variants at the TNFAIP3 locus in five immune cell lines.
- Prioritized single nucleotide polymorphisms (SNPs) based on CRISPRi-sensitivity, chromatin accessibility, and allele-specific reporter activity.
- Integrated genetic fine-mapping data for further validation.
Main Results:
- Trait/disease-associated variants were enriched in regulatory regions identified by CRISPRi sensitivity or chromatin accessibility with allele-specific activity.
- Nine out of 15 trait/disease-associated haplotypes at TNFAIP3 contained variants meeting these prioritization criteria.
- Five of these haplotypes were further supported by genetic fine-mapping analyses.
Conclusions:
- The study presents a robust strategy for characterizing genetic variation at complex disease-associated loci.
- This approach aids in the identification of trait-causal genetic variants, particularly at the TNFAIP3 locus.
- The findings contribute to a deeper understanding of the genetic architecture underlying immune-related diseases.
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