title: A range of simple summary genome-wide statistics for detecting genetic linkage using high density marker data.
abstract: A simple approach to design and analysis of genome-wide linkage scans is described, based on an approximation to the joint distribution of likelihood ratio statistics at a large number of single nucleotide polymorphism (SNP) loci. The approximation is readily calculated and makes it feasible to study the test properties of a range of summary statistics for the entire sequence of point-wise test values. Both the null distribution in the absence of genetic effects and the alternative distribution under various models of single or multi-gene inheritance can readily be simulated. This allows the power of a variety of statistics to be evaluated. The most powerful statistics proved to be the "quantile statistics" defined as quantiles of the set of pointwise test statistics. As a proof of principle study, the method was applied to a small dataset of 40 individuals from 8 families known to be segregating mutations in one or other of the DNA mismatch repair genes, MLH1 and MSH2. These included seven affected sib pairs and 11 discordant sib pairs, who were genotyped at 57,429 autosomal SNPs using the Affymetrix GeneChip Human Mapping 50 k Xba 240 Array. While the sample size was not sufficient to detect the linkage, there was a clear signal at the MLH1 location indicating that relatively small sample sizes would have been adequate to detect linkage to this gene.
authors: CSIRO Preventative Health National Research Flagship, CSIRO Mathematical and Information Sciences, Glen Osmond 5064, Australia. Ian.Saunders@csiro.au
authors: Ian W
authors: IW
authors: Saunders
authors: Garry N
authors: GN
authors: Hannan
authors: Jesper
authors: J
authors: Brohede
authors: Graham G
authors: GG
authors: Giles
authors: Mark A
authors: MA
authors: Jenkins
authors: John L
authors: JL
authors: Hopper
authors: Melissa C
authors: MC
authors: Southey
mesh_terms: D048868:Adaptor Proteins, Signal Transducing / Q000235:genetics; D000465:Algorithms; D020137:Base Pair Mismatch; D015179:Colorectal Neoplasms / Q000235:genetics; D008040:Genetic Linkage; D005819:Genetic Markers; D016678:Genome; D005838:Genotype; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D000070957:MutL Protein Homolog 1; D051718:MutS Homolog 2 Protein / Q000235:genetics; D009154:Mutation; D009687:Nuclear Proteins / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis; D020641:Polymorphism, Single Nucleotide
chemical_list: D048868:Adaptor Proteins, Signal Transducing; D005819:Genetic Markers; C501486:MLH1 protein, human; D009687:Nuclear Proteins; C497172:MSH2 protein, human; D000070957:MutL Protein Homolog 1; D051718:MutS Homolog 2 Protein