ArticleGenome research2011
A method for detecting IBD regions simultaneously in multiple individuals--with applications to disease genetics.
Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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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
30 citing papers in PubMed, 47 citations in OpenAlex.
- Identity-By-Descent Mapping Using Multi-Individual IBD With Genome-Wide Multiple Testing Adjustment.Genetic epidemiology · 2025Article
- A Pipeline for Phasing and Genotype Imputation on Mixed Human Data (Parents-Offspring Trios and Unrelated Subjects) by Reviewing Current Methods and Software.Life (Basel, Switzerland) · 2022Review
- P-smoother: efficient PBWT smoothing of large haplotype panels.Bioinformatics advances · 2022Article
- Haplotype-resolved germline and somatic alterations in renal medullary carcinomas.Genome medicine · 2021Article
- A Fast and Simple Method for Detecting Identity-by-Descent Segments in Large-Scale Data.American journal of human genetics · 2020Article
- Article
- Efficient Estimation of Realized Kinship from Single Nucleotide Polymorphism Genotypes.Genetics · 2017Article
- HaploShare: identification of extended haplotypes shared by cases and evaluation against controls.Genome biology · 2015Article
- Parente2: a fast and accurate method for detecting identity by descent.Genome research · 2015Article
- Relatedness in the post-genomic era: is it still useful?Nature reviews. Genetics · 2015Review
- PIGS: improved estimates of identity-by-descent probabilities by probabilistic IBD graph sampling.BMC bioinformatics · 2015Article
- A renewal theory approach to IBD sharing.Theoretical population biology · 2014Article
- Genome wide association studies using a new nonparametric model reveal the genetic architecture of 17 agronomic traits in an enlarged maize association panel.PLoS genetics · 2014Article
- Genome-wide patterns of identity-by-descent sharing in the French Canadian founder population.European journal of human genetics : EJHG · 2014Article
- Efficient clustering of identity-by-descent between multiple individuals.Bioinformatics (Oxford, England) · 2014Article
- Joint inference of identity by descent along multiple chromosomes from population samples.Journal of computational biology : a journal of computational molecular cell biology · 2014Article
- An effective filter for IBD detection in large data sets.PloS one · 2014Article
- HapFABIA: identification of very short segments of identity by descent characterized by rare variants in large sequencing data.Nucleic acids research · 2013Article
- Estimating inbreeding coefficients from NGS data: Impact on genotype calling and allele frequency estimation.Genome research · 2013Article
- IBD-Groupon: an efficient method for detecting group-wise identity-by-descent regions simultaneously in multiple individuals based on pairwise IBD relationships.Bioinformatics (Oxford, England) · 2013Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
All individuals in a finite population are related if traced back long enough and will, therefore, share regions of their genomes identical by descent (IBD). Detection of such regions has several important applications-from answering questions about human evolution to locating regions in the human genome containing disease-causing variants. However, IBD regions can be difficult to detect, especially in the common case where no pedigree information is available. In particular, all existing non-pedigree based methods can only infer IBD sharing between two individuals. Here, we present a new Markov Chain Monte Carlo method for detection of IBD regions, which does not rely on any pedigree information. It is based on a probabilistic model applicable to unphased SNP data. It can take inbreeding, allele frequencies, genotyping errors, and genomic distances into account. And most importantly, it can simultaneously infer IBD sharing among multiple individuals. Through simulations, we show that the simultaneous modeling of multiple individuals makes the method more powerful and accurate than several other non-pedigree based methods. We illustrate the potential of the method by applying it to data from individuals with breast and/or ovarian cancer, and show that a known disease-causing mutation can be mapped to a 2.2-Mb region using SNP data from only five seemingly unrelated affected individuals. This would not be possible using classical linkage mapping or association mapping.
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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.