ArticleGenetics, selection, evolution : GSE2010
Combining two Meishan F2 crosses improves the detection of QTL on pig chromosomes 2, 4 and 6.
Article in Genetics, selection, evolution : GSE, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Genomic Analysis of Reproductive Trait Divergence in Duroc and Yorkshire Pigs: A Comparison of Mixed Models and Selective Sweep Detection.Veterinary sciences · 2025Article
- Genome-wide analysis of genetic loci and candidate genes related to teat number traits in Dongliao black pigs.Frontiers in genetics · 2025Article
- Genome-wide association analyses identify known and novel loci for teat number in Duroc pigs using single-locus and multi-locus models.BMC genomics · 2020Article
- Using genome wide association studies to identify common QTL regions in three different genetic backgrounds based on Iberian pig breed.PloS one · 2018Article
- Identification of novel candidate genes for the inverted teat defect in sows using a genome-wide marker panel.Journal of applied genetics · 2017Article
- Genetic analysis of teat number in pigs reveals some developmental pathways independent of vertebra number and several loci which only affect a specific side.Genetics, selection, evolution : GSE · 2017Article
- Identification of loci affecting teat number by genome-wide association studies on three pig populations.Asian-Australasian journal of animal sciences · 2017Article
- A genome-wide association study reveals dominance effects on number of teats in pigs.PloS one · 2014Article
- Porcine ubiquitin-like 5 (UBL5) gene: genomic organization, polymorphisms, mRNA cloning, splicing variants and association study.Molecular biology reports · 2014Article
- Progeny-testing of full-sibs IBD in a SSC2 QTL region highlights epistatic interactions for fatness traits in pigs.BMC genetics · 2011Article
- Number and mode of inheritance of QTL influencing backfat thickness on SSC2p in Sino-European pig pedigrees.Genetics, selection, evolution : GSE · 2011Article
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Authors and funding
6 authors.
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Abstract
backgroundIn pig, a number of experiments have been set up to identify QTL and a multitude of chromosomal regions harbouring genes influencing traits of interest have been identified. However, the mapping resolution remains limited in most cases and the detected QTL are rather inaccurately located. Mapping accuracy can be improved by increasing the number of phenotyped and genotyped individuals and/or the number of informative markers. An alternative approach to overcome the limited power of individual studies is to combine data from two or more independent designs.
methodsIn the present study we report a combined analysis of two independent design (a French and a Dutch F2 experimental designs), with 2000 F2 individuals. The purpose was to further map QTL for growth and fatness on pig chromosomes 2, 4 and 6. Using QTL-map software, uni- and multiple-QTL detection analyses were applied separately on the two pedigrees and then on the combination of the two pedigrees.
resultsJoint analyses of the combined pedigree provided (1) greater significance of shared QTL, (2) exclusion of false suggestive QTL and (3) greater mapping precision for shared QTL.
conclusionsCombining two Meishan x European breeds F2 pedigrees improved the mapping of QTL compared to analysing pedigrees separately. Our work was facilitated by the access to raw phenotypic data and DNA of animals from both pedigrees and the combination of the two designs with the addition of new markers allowed us to fine map QTL without phenotyping additional animals.
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