ArticleAmerican journal of human genetics2020
A Fast and Simple Method for Detecting Identity-by-Descent Segments in Large-Scale Data.
Article in American journal of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
137 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Fully exploiting SNP arrays: a systematic review on the tools to extract underlying genomic structure.Briefings in bioinformatics · 2022Pooled it
- Blocks of Identity by Descent Reveal the Dual Role Played by Reef Fish Larvae for Retention and Dispersal.Molecular ecology · 2026Article
- Article
- Recovering the precolonial population structure of Khoe-San descendant populations.Science advances · 2026Article
- Updating the RZooRoH Package for the Analysis of Inbreeding, Identity-By-Descent and Relatedness From Genomic Data.Molecular ecology resources · 2026Article
- Genetic ancestry and monogenic disease risk in the Scottish Traveller founder population.Nature communications · 2026Article
- Genome sequencing for the diagnosis of rare disorders: The Brazilian Rare Genomes Project.HGG advances · 2026Article
- DRIVE v3: Command Line Application for Identity-by-Descent Haplotype Clustering in Large Biobank Scale Data.Genetic epidemiology · 2026Article
- Article
- HiFiMAP: High-resolution fast identity-by-descent mapping test.medRxiv : the preprint server for health sciences · 2026Article
- A novel method for across-chromosome phasing without relative data.Bioinformatics (Oxford, England) · 2026Article
- Genomic insights into the admixture history and adaptive evolution of the Zhuang people.Molecular biology and evolution · 2026Article
- Reconstruction of the genetic history of the Austro-Asiatic- and Dravidian-speaking tribal populations of South Asia.iScience · 2026Article
- A Novel CFA3 Locus EncompassingGenes · 2026Article
- Unraveling the genetic landscape and admixture dynamics of urban populations across Peru.Communications biology · 2026Article
- SLAB: A Sweep Line Algorithm in PBWT for Finding Haplotype Block Cores.bioRxiv : the preprint server for biology · 2026Article
- Genomic estimates of Identity-By-Descent relationships in large scale data sets.Genetics, selection, evolution : GSE · 2026Article
- Multiple-testing corrections in case-control studies using identity-by-descent segments.American journal of human genetics · 2026Article
- Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits.Cell genomics · 2026Article
- hmmibd-rs: an enhanced hmmIBD implementation for parallelizable identity-by-descent detection from large-scale Plasmodium genomic data.Malaria journal · 2026Article
77 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Segments of identity by descent (IBD) are used in many genetic analyses. We present a method for detecting identical-by-descent haplotype segments in phased genotype data. Our method, called hap-IBD, combines a compressed representation of haplotype data, the positional Burrows-Wheeler transform, and multi-threaded execution to produce very fast analysis times. An attractive feature of hap-IBD is its simplicity: the input parameters clearly and precisely define the IBD segments that are reported, so that program correctness can be confirmed by users. We evaluate hap-IBD and four state-of-the-art IBD segment detection methods (GERMLINE, iLASH, RaPID, and TRUFFLE) using UK Biobank chromosome 20 data and simulated sequence data. We show that hap-IBD detects IBD segments faster and more accurately than competing methods, and that hap-IBD is the only method that can rapidly and accurately detect short 2-4 centiMorgan (cM) IBD segments in the full UK Biobank data. Analysis of 485,346 UK Biobank samples through the use of hap-IBD with 12 computational threads detects 231.5 billion autosomal IBD segments with length ≥2 cM in 24.4 h.
Indexed as
Identifiers
What OpenQuestion holds
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.