scholarly journals Power of Linkage Disequilibrium Mapping to Detect a Quantitative Trait Locus (QTL) in Selected Samples of Unrelated Individuals

2003 ◽  
Vol 67 (6) ◽  
pp. 557-566 ◽  
Author(s):  
A. Tenesa ◽  
S. A. Knott ◽  
A. D. Carothers ◽  
P. M. Visscher
Genetics ◽  
2002 ◽  
Vol 161 (1) ◽  
pp. 373-379 ◽  
Author(s):  
Theo H E Meuwissen ◽  
Astrid Karlsen ◽  
Sigbjørn Lien ◽  
Ingrid Olsaker ◽  
Mike E Goddard

Abstract A novel and robust method for the fine-scale mapping of genes affecting complex traits, which combines linkage and linkage-disequilibrium information, is proposed. Linkage information refers to recombinations within the marker-genotyped generations and linkage disequilibrium to historical recombinations before genotyping started. The identity-by-descent (IBD) probabilities at the quantitative trait locus (QTL) between first generation haplotypes were obtained from the similarity of the marker alleles surrounding the QTL, whereas IBD probabilities at the QTL between later generation haplotypes were obtained by using the markers to trace the inheritance of the QTL. The variance explained by the QTL is estimated by residual maximum likelihood using the correlation structure defined by the IBD probabilities. Unlinked background genes were accounted for by fitting a polygenic variance component. The method was used to fine map a QTL for twinning rate in cattle, previously mapped on chromosome 5 by linkage analysis. The data consisted of large half-sib families, but the method could also handle more complex pedigrees. The likelihood of the putative QTL was very small along most of the chromosome, except for a sharp likelihood peak in the ninth marker bracket, which positioned the QTL within a region <1 cM in the middle part of bovine chromosome 5. The method was expected to be robust against multiple genes affecting the trait, multiple mutations at the QTL, and relatively low marker density.


2014 ◽  
Author(s):  
Jared W. Westbrook ◽  
Vikram E. Chhatre ◽  
Le-Shin Wu ◽  
Srikar Chamala ◽  
Leandro Gomide Neves ◽  
...  

A consensus genetic map forPinus taeda(loblolly pine) was constructed by merging three previously published maps with a map from a pseudo-backcross betweenP. taedaandP. elliottii(slash pine). The consensus map positioned 4981 markers via genotyping of 1251 individuals from four pedigrees. It is the densest linkage map for a conifer to date. Average marker spacing was 0.48 centiMorgans and total map length was 2372 centiMorgans. Functional predictions for 4762 markers for expressed sequence tags were improved by alignment to full-lengthP. taedatranscripts. Alignments to theP. taedagenome mapped 4225 scaffold sequences onto linkage groups. The consensus genetic map was used to compare the extent of genome-wide linkage disequilibrium in an association population of distantly relatedP. taedaindividuals (ADEPT2), a multiple-family pedigree used for genomic selection studies (CCLONES), and a full-sib quantitative trait locus mapping population (BC1). Weak linkage disequilibrium was observed in CCLONES and ADEPT2. Average squared correlations, R2, between genotypes at SNPs less than one centiMorgan apart was less than 0.05 in both populations and R2 did not decay substantially with genetic distance. By contrast, strong and extended linkage disequilibrium was observed among BC1 full-sibs where average R2 decayed from 0.8 to less than 0.1 over 53 centiMorgans. The consensus map and analysis of linkage disequilibrium establish a foundation for comparative association and quantitative trait locus mapping between genotype-phenotype discovery populations. 


2006 ◽  
Vol 36 (10) ◽  
pp. 688
Author(s):  
Kijun Song ◽  
Kil Seob Lim ◽  
Jin Nam Cho ◽  
Yang Soo Jang ◽  
Hyeon Yeong Park

Genetics ◽  
2006 ◽  
Vol 173 (3) ◽  
pp. 1777-1786 ◽  
Author(s):  
Cynthia Sandor ◽  
Frédéric Farnir ◽  
Sarah Hansoul ◽  
Wouter Coppieters ◽  
Théo Meuwissen ◽  
...  

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