Fine mapping of quantitative trait loci using linkage disequilibria with closely linked marker loci.

A multimarker linkage disequilibrium mapping method was developed for the fine mapping of quantitative trait loci (QTL) using a dense marker map. The method compares the expected covariances between haplotype effects given a postulated QTL position to the covariances that are found in the data. The expected covariances between the haplotype effects are proportional to the probability that the QTL position is identical by descent (IBD) given the marker haplotype information, which is calculated using the genedropping method. Simulation results showed that a QTL was correctly positioned within a region of 3, 1.5, or 0.75 cM in 70, 62, and 68%, respectively, of the replicates using markers spaced at intervals of 1, 0.5, and 0.25 cM, respectively. These results were rather insensitive to the number of generations since the QTL occurred and to the effective population size, except that 10 generations yielded rather poor estimates of the QTL position. The position estimates of this multimarker disequilibrium mapping method were more accurate than those from a single marker transmission disequilibrium test. A general approach for identifying QTL is suggested, where several stages of disequilibrium mapping are used with increasingly dense marker spacing.

[1]  D. Falconer,et al.  Introduction to Quantitative Genetics. , 1962 .

[2]  H. D. Patterson,et al.  Recovery of inter-block information when block sizes are unequal , 1971 .

[3]  C. R. Henderson Applications of linear models in animal breeding , 1984 .

[4]  R. Hudson,et al.  The sampling distribution of linkage disequilibrium under an infinite allele model without selection. , 1985, Genetics.

[5]  Oliver A. Ryder,et al.  Pedigree analysis by computer simulation , 1986 .

[6]  E. Boerwinkle,et al.  A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping. I. Basic theory and an analysis of alcohol dehydrogenase activity in Drosophila. , 1987, Genetics.

[7]  M Grossman,et al.  Marker assisted selection using best linear unbiased prediction , 1989, Genetics Selection Evolution.

[8]  B. Brownstein,et al.  Type 1 neurofibromatosis gene: identification of a large transcript disrupted in three NF1 patients. , 1990, Science.

[9]  M. Goddard Mapping genes for quantitative traits using linkage disequilibrium , 1991, Genetics Selection Evolution.

[10]  R. Myers,et al.  The end in sight for Huntington disease? , 1991, American journal of human genetics.

[11]  Eric Lander,et al.  Linkage disequilibrium mapping in isolated founder populations: diastrophic dysplasia in Finland , 1992, Nature Genetics.

[12]  Nancy A. Jenkins,et al.  Anchored reference loci for comparative genome mapping in mammals , 1993, Nature Genetics.

[13]  M. Soller,et al.  Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map. , 1993, Genetics.

[14]  P. Arús,et al.  Marker-assisted selection , 1993 .

[15]  Nelson B. Freimer,et al.  Genome screening by searching for shared segments: mapping a gene for benign recurrent intrahepatic cholestasis , 1994, Nature Genetics.

[16]  B S Weir,et al.  Maximum-likelihood estimation of gene location by linkage disequilibrium. , 1994, American journal of human genetics.

[17]  A. Long,et al.  High resolution mapping of genetic factors affecting abdominal bristle number in Drosophila melanogaster. , 1995, Genetics.

[18]  J. Terwilliger A powerful likelihood method for the analysis of linkage disequilibrium between trait loci and one or more polymorphic marker loci. , 1995, American journal of human genetics.

[19]  B S Weir,et al.  Likelihood methods for locating disease genes in nonequilibrium populations. , 1995, American journal of human genetics.

[20]  D Rabinowitz,et al.  A transmission disequilibrium test for quantitative trait loci. , 1997, Human heredity.

[21]  I. Hoeschele,et al.  Advances in statistical methods to map quantitative trait loci in outbred populations. , 1997, Genetics.