ArticleGenetic epidemiology2025
Identity-By-Descent Mapping Using Multi-Individual IBD With Genome-Wide Multiple Testing Adjustment.
Article in Genetic epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- HiFiMAP: High-resolution fast identity-by-descent mapping test.medRxiv : the preprint server for health sciences · 2026Article
- SLAB: A Sweep Line Algorithm in PBWT for Finding Haplotype Block Cores.bioRxiv : the preprint server for biology · 2026Article
- Multiple-testing corrections in case-control studies using identity-by-descent segments.American journal of human genetics · 2026Article
- A spectral component approach leveraging identity-by-descent graphs to address recent population structure in genomic analysis.Genome research · 2026Article
- Clade distillation for genome-wide association studies.Genetics · 2026Article
- SPC: a SPectral Component approach leveraging Identity-by-Descent graphs to address recent population structure in genomic analysis.medRxiv : the preprint server for health sciences · 2025Article
- Multiple-testing corrections in case-control studies using identity-by-descent segments.bioRxiv : the preprint server for biology · 2025Article
- Fast simulation of identity-by-descent segments.Bulletin of mathematical biology · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.