Evidence map›Paper›PMID 19284677›Full record

ArticleGenetics, selection, evolution : GSE2009

Effects of the number of markers per haplotype and clustering of haplotypes on the accuracy of QTL mapping and prediction of genomic breeding values.

Mario P L Calus, Theo H E Meuwissen, Jack J Windig, Egbert F Knol, Chris Schrooten, Addie L J Vereijken, Roel F Veerkamp

Abstract read
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Article in Genetics, selection, evolution : GSE, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

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32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Mario P L CalusAnimal Breeding and Genomics Centre, Animal Sciences Group, Wageningen University and Research Centre, Lelystad, The Netherlands. mario.calus@wur.nl
Theo H E Meuwissen
Jack J Windig
Egbert F Knol
Chris Schrooten
Addie L J Vereijken
Roel F Veerkamp

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this paper was to compare the effect of haplotype definition on the precision of QTL-mapping and on the accuracy of predicted genomic breeding values. In a multiple QTL model using identity-by-descent (IBD) probabilities between haplotypes, various haplotype definitions were tested i.e. including 2, 6, 12 or 20 marker alleles and clustering base haplotypes related with an IBD probability of > 0.55, 0.75 or 0.95. Simulated data contained 1100 animals with known genotypes and phenotypes and 1000 animals with known genotypes and unknown phenotypes. Genomes comprising 3 Morgan were simulated and contained 74 polymorphic QTL and 383 polymorphic SNP markers with an average r2 value of 0.14 between adjacent markers. The total number of haplotypes decreased up to 50% when the window size was increased from two to 20 markers and decreased by at least 50% when haplotypes related with an IBD probability of > 0.55 instead of > 0.95 were clustered. An intermediate window size led to more precise QTL mapping. Window size and clustering had a limited effect on the accuracy of predicted total breeding values, ranging from 0.79 to 0.81. Our conclusion is that different optimal window sizes should be used in QTL-mapping versus genome-wide breeding value prediction.

Indexed as

BreedingChromosome MappingGenetic MarkersQuantitative Trait LociAnimalsAnimals, DomesticFemaleGenomeHaplotypesMaleModels, GeneticPolymorphism, GeneticGenetic Markers

Identifiers

PMID19284677
PMCPMC3225874

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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.