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Published on: January 9, 2020
[Fine mapping of complex disease susceptibility loci]
Qingfeng Song1, Hongxing Zhang2, Yilong Ma3
1Interventional Radiology Department of Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China; State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 102206, China; National Engineering Research Center for Protein Drugs, Beijing 102206, China; National Center for Protein Sciences in Beijing, Beijing 102206, China.
Genome-wide association studies (GWAS) have identified thousands of disease loci, but pinpointing causative variants remains challenging. This review details fine-mapping strategies to identify functional variants and genes, crucial for understanding complex diseases.
Area of Science:
- Genetics
- Genomics
- Molecular Biology
Context:
- Genome-wide association studies (GWAS) have identified over 3800 loci linked to diseases and traits.
- Significant challenges remain in identifying specific causative variants and their biological functions within these loci.
- Clarifying these variants is essential for understanding disease pathogenesis and discovering novel biomarkers.
Purpose:
- To review and summarize current strategies and challenges in fine-mapping genetic loci identified by GWAS.
- To highlight methods for identifying causative variants and susceptibility genes.
- To discuss approaches for elucidating the functional roles of genetic variants in complex diseases.
Summary:
- Fine-mapping strategies are crucial in the post-GWAS era to identify causative variants and susceptibility genes.
- Techniques include imputation, re-sequencing, expression quantitative trait locus (eQTL) analysis, and haplotype analysis for common variants.
- For rare variants, methods like family-based analysis and burden tests are employed.
Impact:
- Enables a deeper understanding of the biological mechanisms underlying complex diseases.
- Facilitates the discovery of new diagnostic biomarkers and therapeutic targets.
- Advances precision medicine by linking specific genetic variations to disease risk and function.
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