| Title: | Identity-By-Descent Mapping Using Multi-Individual IBD With Genome-Wide Multiple Testing Adjustment |
| Journal: | Genetic Epidemiology |
| Published: | 28 Jul 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40719186/ |
| DOI: | https://doi.org/10.1002/gepi.70015 |
Publication 16086
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Abstract
We present an identity-by-descent mapping approach to test the association between genome-wide loci and complex traits. Our method evaluates whether levels of genetic similarities at specific genomic locations, captured by local relatedness matrices derived from multi-individual IBD sharing, are associated with phenotypic variation in complex traits. In addition, we propose an approach to adjust for multiple testing in genome-wide IBD mapping scans based on the correlation structure between test statistics across the genome. Through simulation studies, we demonstrate that our test has a well-controlled genome-wide type I error rate and superior power to detect rare and untyped variants compared to standard single-variant tests. We applied our method to systolic blood pressure data from White British individuals in the UK Biobank.</p>
10 Keywords
- Blood Pressure
- Chromosome Mapping
- Computer Simulation
- Genome-Wide Association Study
- Humans
- Models, Genetic
- Phenotype
- Polymorphism, Single Nucleotide
- United Kingdom
- White People
2 Authors
- Ruoyi Cai
- Sharon R. Browning
1 Application
| Application ID | Title |
|---|---|
| 19934 | Statistical and Computational Genetics Methods Development |
Enabling scientific discoveries that improve human health