Evidence map›Paper›PMID 20529903›Full record

ArticleBioinformatics (Oxford, England)2010

Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping.

Sivan Bercovici, Christopher Meek, Ydo Wexler, Dan Geiger

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Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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16citing papers in PubMed
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16 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Sivan BercoviciTechnion-Israel Institute of Technology, Computer Science Department Haifa, 32000 Israel. sberco@gmail.com
Christopher Meek
Ydo Wexler
Dan Geiger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationAssociation analysis is the method of choice for studying complex multifactorial diseases. The premise of this method is that affected persons contain some common genomic regions with similar SNP alleles and such areas will be found in this analysis. An important disadvantage of GWA studies is that it does not distinguish between genomic areas that are inherited from a common ancestor [identical by descent (IBD)] and areas that are identical merely by state [identical by state (IBS)]. Clearly, areas that can be marked with higher probability as IBD and have the same correlation with the disease status of identical areas that are more probably only IBS, are better candidates to be causative, and yet this distinction is not encoded in standard association analysis.

resultsWe develop a factorial hidden Markov model-based algorithm for computing genome-wide IBD sharing. The algorithm accepts as input SNP data of measured individuals and estimates the probability of IBD at each locus for every pair of individuals. For two g-degree relatives, when g > or = 8, the computation yields a precision of IBD tagging of over 50% higher than previous methods for 95% recall. Our algorithm uses a first-order Markovian model for the linkage disequilibrium process and employs a reduction of the state space of the inheritance vector from being exponential in g to quadratic. The higher accuracy along with the reduced time complexity marks our method as a feasible means for IBD mapping in practical scenarios. AVAILABILITY: A software implementation, called IBDMAP, is freely available at http://bioinfo.cs.technion.ac.il/IBDmap.

Indexed as

GenomeLinkage DisequilibriumPolymorphism, Single NucleotideAlgorithmsChromosome MappingGenome-Wide Association StudyGenomicsMarkov ChainsModels, Genetic

Identifiers

PMID20529903
PMCPMC2881389

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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.