Comparing linkage disequilibrium-based methods for fine mapping quantitative trait loci.

نویسندگان

  • L Grapes
  • J C M Dekkers
  • M F Rothschild
  • R L Fernando
چکیده

Recently, a method for fine mapping quantitative trait loci (QTL) using linkage disequilibrium was proposed to map QTL by modeling covariance between individuals, due to identical-by-descent (IBD) QTL alleles, on the basis of the similarity of their marker haplotypes under an assumed population history. In the work presented here, the advantage of using marker haplotype information for fine mapping QTL was studied by comparing the IBD-based method with 10 markers to regression on a single marker, a pair of markers, or a two-locus haplotype under alternative population histories. When 10 markers were genotyped, the IBD-based method estimated the position of the QTL more accurately than did single-marker regression in all populations. When 20 markers were genotyped for regression, as single-marker methods do not require knowledge of haplotypes, the mapping accuracy of regression in all populations was similar to or greater than that of the IBD-based method using 10 markers. Thus for populations similar to those simulated here, the IBD-based method is comparable to single-marker regression analysis for fine mapping QTL.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

TIGER: A software system for fine-mapping quantitative trait loci

The localisation of quantitative trait loci which contribute significantly to phenotype variation of economically important traits in domestic species has become an important goal in animal genomics. Several such loci have been roughly identified using linkage analyses; however the focus has now shifted towards fine mapping and pinpointing causal mutations. In the context of a cooperative natio...

متن کامل

A comparison between methods for linkage disequilibrium fine mapping of quantitative trait loci.

We present a maximum likelihood method for mapping quantitative trait loci that uses linkage disequilibrium information from single and multiple markers. We made paired comparisons between analyses using a single marker, two markers and six markers. We also compared the method to single marker regression analysis under several scenarios using simulated data. In general, our method outperformed ...

متن کامل

Survival quantitative trait locus fine mapping by measuring and testing for Hardy-Weinberg and linkage disequilibrium.

I show that fine-scale localization of a survival-related locus can be accomplished on the basis of deviations from Hardy-Weinberg equilibrium and linkage disequilibrium at closely linked marker loci. The method is based on chi(2)-tests and they can be performed for age-specific samples of alive (or dead) individuals, as for combined samples of alive and dead individuals.

متن کامل

The Pattern of Linkage Disequilibrium in Livestock Genome

Linkage disequilibrium (LD) is bases of genomic selection, genomic marker imputation, marker assisted selection (MAS), quantitative trait loci (QTL) mapping, parentage testing and whole genome association studies. The Particular alleles at closed loci have a tendency to be co-inherited. In linked loci this pattern leads to association between alleles in population which is known as LD. Two metr...

متن کامل

Combined linkage and association mapping of quantitative trait loci by multiple markers.

Using multiple diallelic markers, variance component models are proposed for high-resolution combined linkage and association mapping of quantitative trait loci (QTL) based on nuclear families. The objective is to build a model that may fully use marker information for fine association mapping of QTL in the presence of prior linkage. The measures of linkage disequilibrium and the genetic effect...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Genetics

دوره 166 3  شماره 

صفحات  -

تاریخ انتشار 2004