ArticleAmerican journal of human genetics2011
DASH: a method for identical-by-descent haplotype mapping uncovers association with recent variation.
Article in American journal of human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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Who cites it
68 citing papers in PubMed.
- DRIVE v3: Command Line Application for Identity-by-Descent Haplotype Clustering in Large Biobank Scale Data.Genetic epidemiology · 2026Article
- Multiple-testing corrections in case-control studies using identity-by-descent segments.American journal of human genetics · 2026Article
- Identity-by-descent segments in large samples.Theoretical population biology · 2025Article
- Estimating gene conversion rates from population data using multi-individual identity by descent.American journal of human genetics · 2025Article
- Identity-By-Descent Mapping Using Multi-Individual IBD With Genome-Wide Multiple Testing Adjustment.Genetic epidemiology · 2025Article
- clusIBD: Robust Detection of Identity-by-descent Segments Using Unphased Genetic Data from Poor-quality Samples.Genomics, proteomics & bioinformatics · 2025Article
- Multiple-testing corrections in case-control studies using identity-by-descent segments.bioRxiv : the preprint server for biology · 2025Article
- Coding Variants of the Genitourinary Development GeneJCO precision oncology · 2025Article
- Detection of distant relatedness in biobanks to identify undiagnosed cases of Mendelian disease as applied to Long QT syndrome.Nature communications · 2024Article
- Biobank-scale inference of multi-individual identity by descent and gene conversion.American journal of human genetics · 2024Article
- A genetic survey of patients with familial idiopathic intracranial hypertension residing in a Middle Eastern village: genetic association study.European journal of medical research · 2024Article
- Characterizing identity by descent segments in Chinese interpopulation unrelated individual pairs.Molecular genetics and genomics : MGG · 2024Article
- FiMAP: A fast identity-by-descent mapping test for biobank-scale cohorts.PLoS genetics · 2023Article
- Biobank-scale inference of multi-individual identity by descent and gene conversion.bioRxiv : the preprint server for biology · 2023Article
- Article
- Biobank-scale inference of ancestral recombination graphs enables genealogical analysis of complex traits.Nature genetics · 2023Article
- Selecting Clustering Algorithms for Identity-By-Descent Mapping.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023Article
- Open-source benchmarking of IBD segment detection methods for biobank-scale cohorts.GigaScience · 2022Article
- Revealing the recent demographic history of Europe via haplotype sharing in the UK Biobank.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- P-smoother: efficient PBWT smoothing of large haplotype panels.Bioinformatics advances · 2022Article
8 more citing papers are in PubMed but not listed here.
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10 authors.
Funding
Abstract
Rare variants affecting phenotype pose a unique challenge for human genetics. Although genome-wide association studies have successfully detected many common causal variants, they are underpowered in identifying disease variants that are too rare or population-specific to be imputed from a general reference panel and thus are poorly represented on commercial SNP arrays. We set out to overcome these challenges and detect association between disease and rare alleles using SNP arrays by relying on long stretches of genomic sharing that are identical by descent. We have developed an algorithm, DASH, which builds upon pairwise identical-by-descent shared segments to infer clusters of individuals likely to be sharing a single haplotype. DASH constructs a graph with nodes representing individuals and links on the basis of such segments spanning a locus and uses an iterative minimum cut algorithm to identify densely connected components. We have applied DASH to simulated data and diverse GWAS data sets by constructing haplotype clusters and testing them for association. In simulations we show this approach to be significantly more powerful than single-marker testing in an isolated population that is from Kosrae, Federated States of Micronesia and has abundant IBD, and we provide orthogonal information for rare, recent variants in the outbred Wellcome Trust Case-Control Consortium (WTCCC) data. In both cohorts, we identified a number of haplotype associations, five such loci in the WTCCC data and ten in the isolated, that were conditionally significant beyond any individual nearby markers. We have replicated one of these loci in an independent European cohort and identified putative structural changes in low-pass whole-genome sequence of the cluster carriers.
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