Literature DB >> 11006637

Fine-mapping of quantitative trait loci in half-sib families using current recombinations.

G Thaller1, I Hoeschele.   

Abstract

Two groups of methods are being developed to fine-map quantitative trait loci (QTLs): identity-by-descent methods or methods using historical recombinations, and genetic chromosome dissection methods or methods utilizing current recombinations. Here we propose two methods that fall into the second group: contrast mapping and substitution mapping. A QTL has previously been detected via linkage mapping in a half-sib design (granddaughter or daughter design), and sires (grandsires) likely to be heterozygous at the QTL have been identified. A sire (grandsire) and its recombinant offspring are then genotyped for a series of ordered markers spanning the initial marker interval. Offspring are grouped by paternal multi-marker haplotype with haplotypes differing in the location of the recombination event. In the contrast method, contrasts between the phenotypic averages of haplotypes or offspring groups are calculated which correspond to marker intervals within the original interval. The expected value of the contrast for the true QTL interval is always maximum, hence the interval with maximum observed contrast is assumed to contain the QTL. Alternative statistics for determining the interval most likely to contain a QTL are presented for contrast mapping, as well as a bootstrap estimation of the probability of having identified the correct interval. For an initial marker bracket of 20 cM and 10 additional equidistant markers, the probability of assigning the QTL to the correct 2 cM marker interval or to a combined 4 cM interval was calculated. For substitution effects of 0.093, 0.232, 0.464, 0.696 and 0.928 (in additive genetic SD), power values near 0.14, 0.26, 0.48, 0.67 and 0.80 (0.25, 0.53, 0.86, 0.97 and 0.99) are achieved for a family of 200 (1000) sons, respectively. In substitution mapping, QTL segregation status of recombinant sons must be determined using daughter genotyping. Combinations of two haplotypes with their segregation status are required to assign the QTL to an interval. Probabilities of correct QTL assignment were calculated assuming absence of the mutant QTL allele in dams of sons. For a 2 cM interval and a QTL at the midpoint of an interval, power near 0.95 (0.90) is reached when the number of recombinant sons is 70 (60), or total number of sons is 424 (363). For QTL positions away from the midpoint, power decreases but can be improved by combining marker intervals. For a QTL located halfway to the midpoint, and 182 sons in a family resulting in 30 recombinant sons, probability is 0.94 for assignment to either a 2 cM or a combined 4 cM interval. Effect of type I and type II errors in segregation status determination on power of QTL assignment was found to be small. Errors in segregation status due to QTL segregation in dams have an impact if the frequency of the mutant QTL allele is intermediate to high.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11006637     DOI: 10.1017/s0016672300004638

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  4 in total

1.  Simultaneous mining of linkage and linkage disequilibrium to fine map quantitative trait loci in outbred half-sib pedigrees: revisiting the location of a quantitative trait locus with major effect on milk production on bovine chromosome 14.

Authors:  Frédéric Farnir; Bernard Grisart; Wouter Coppieters; Juliette Riquet; Paulette Berzi; Nadine Cambisano; Latifa Karim; Myriam Mni; Sirja Moisio; Patricia Simon; Danny Wagenaar; Johanna Vilkki; Michel Georges
Journal:  Genetics       Date:  2002-05       Impact factor: 4.562

2.  High-resolution mapping of quantitative trait loci by selective recombinant genotyping.

Authors:  Y Ronin; A Korol; M Shtemberg; E Nevo; M Soller
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

3.  Genetical genomics analysis of a yeast segregant population for transcription network inference.

Authors:  Nan Bing; Ina Hoeschele
Journal:  Genetics       Date:  2005-03-21       Impact factor: 4.562

4.  Combining DNA pooling with selective recombinant genotyping for increased efficiency in fine mapping.

Authors:  Xiao-Fei Chi; Xiang-Yang Lou; Qing-Yao Shu
Journal:  Theor Appl Genet       Date:  2009-11-08       Impact factor: 5.699

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.