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Can I read Methods for Statistical Fine-mapping and Their Applications to Auto-immune Diseases on EtoBox?
Methods for Statistical Fine-mapping and Their Applications to Auto-immune Diseases by Qingbo S. Wang; Hailiang Huang is a Immunology and Microbiology article available to read on EtoBox.
What is Methods for Statistical Fine-mapping and Their Applications to Auto-immune Diseases about?
Abstract Although genome-wide association studies (GWAS) have identified thousands of loci in the human genome that are associated with different traits, understanding the biological mechanisms underlying the association signals identified in GWAS remains challenging. Statistical fine-mapping is a method aiming to refine GWAS signals by evaluating which variant(s) are truly causal to the phenotype. Here, we review the types of statistical fine-mapping methods that have been widely used to date, with a focus on recently developed functionally informed fine-mapping (FIFM) methods that utilize functional annotations. We then systematically review the applications of statistical fine-mapping in autoimmune disease studies to highlight the value of statistical fine-mapping in biological contexts.
Who reads Methods for Statistical Fine-mapping and Their Applications to Auto-immune Diseases?
It is typically read by researchers, students, and practitioners in Immunology and Microbiology.
- Author
- Qingbo S. Wang; Hailiang Huang
- Publisher
- Springer Science and Business Media LLC
- Published
- 2022
- Language
- EN
- Field
- Immunology and Microbiology (Life Sciences)