Evidence map›Paper›PMID 18319071›Full record

ArticleAmerican journal of human genetics2008

Multipoint approximations of identity-by-descent probabilities for accurate linkage analysis of distantly related individuals.

Cornelis A Albers, Jim Stankovich, Russell Thomson, Melanie Bahlo, Hilbert J Kappen

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Article in American journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Cornelis A AlbersDepartment of Biophysics, Institute for Computing and Information Sciences, Radboud University, 6525 EZ Nijmegen, The Netherlands. k.albers@science.ru.nl
Jim Stankovich
Russell Thomson
Melanie Bahlo
Hilbert J Kappen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose an analytical approximation method for the estimation of multipoint identity by descent (IBD) probabilities in pedigrees containing a moderate number of distantly related individuals. We show that in large pedigrees where cases are related through untyped ancestors only, it is possible to formulate the hidden Markov model of the Lander-Green algorithm in terms of the IBD configurations of the cases. We use a first-order Markov approximation to model the changes in this IBD-configuration variable along the chromosome. In simulated and real data sets, we demonstrate that estimates of parametric and nonparametric linkage statistics based on the first-order Markov approximation are accurate. The computation time is exponential in the number of cases instead of in the number of meioses separating the cases. We have implemented our approach in the computer program ALADIN (accurate linkage analysis of distantly related individuals). ALADIN can be applied to general pedigrees and marker types and has the ability to model marker-marker linkage disequilibrium with a clustered-markers approach. Using ALADIN is straightforward: It requires no parameters to be specified and accepts standard input files.

Indexed as

Computer SimulationGenetic LinkageSoftwareHumansMarkov ChainsPedigreeProbabilityReproducibility of Results

Identifiers

PMID18319071
PMCPMC2427226

What OpenQuestion holds

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Registered trials

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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.