Evidence map›Paper›PMID 17961219›Full record

ArticleBMC bioinformatics2007

Estimating genealogies from linked marker data: a Bayesian approach.

Dario Gasbarra, Matti Pirinen, Mikko J Sillanpää, Elja Arjas

Abstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dario GasbarraDepartment of Mathematics and Statistics, University of Helsinki, Finland. dag@rni.helsinki.fi
Matti Pirinen
Mikko J Sillanpää
Elja Arjas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnswers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples of such questions are haplotype estimation, relatedness and relationship estimation, gene mapping by combining pedigree and linkage disequilibrium information, and estimation of population structure.

resultsWe present a probabilistic method for genealogy reconstruction. Starting with a group of genotyped individuals from some population isolate, we explore the state space of their possible ancestral histories under our Bayesian model by using Markov chain Monte Carlo (MCMC) sampling techniques. The main contribution of our work is the development of sampling algorithms in the resulting vast state space with highly dependent variables. The main drawback is the computational complexity that limits the time horizon within which explicit reconstructions can be carried out in practice.

conclusionThe estimates for IBD (identity-by-descent) and haplotype distributions are tested in several settings using simulated data. The results appear to be promising for a further development of the method.

Indexed as

Bayes TheoremPedigreeAlgorithmsAllelesChromosome MappingData Interpretation, StatisticalFemaleFounder EffectGene FrequencyGenetic LinkageGenetic MarkersGenetics, PopulationHaplotypesHumansMaleMarkov ChainsGenetic Markers

Identifiers

PMID17961219
PMCPMC2233650

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.