Linkage analysis of GAW14 simulated data: comparison of multimarker, multipoint, and conditional approaches

被引:1
|
作者
Barber, MJ [1 ]
Wheeler, E [1 ]
Cordell, HJ [1 ]
机构
[1] Univ Cambridge, CIMR, Dept Med Genet, Addenbrookes Hosp, Cambridge CB2 2XY, England
基金
英国医学研究理事会; 英国惠康基金;
关键词
Disease Locus; Weighting Scheme; Flank Marker; Generalize Estimate Equation; Multipoint Analysis;
D O I
10.1186/1471-2156-6-S1-S40
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The purposes of this study were 1) to examine the performance of a new multimarker regression approach for model-free linkage analysis in comparison to a conventional multipoint approach, and 2) to determine the whether a conditioning strategy would improve the performance of the conventional multipoint method when applied to data from two interacting loci. Linkage analysis of the Kofendrerd Personality Disorder phenotype to chromosomes 1 and 3 was performed in three populations for all 100 replicates of the Genetic Analysis Workshop 14 simulated data. Three approaches were used: a conventional multipoint analysis using the Zlr statistic as calculated in the program ALLEGRO; a conditioning approach in which the per-family contribution on one chromosome was weighted according to evidence for linkage on the other chromosome; and a novel multimarker regression approach. The multipoint and multimarker approaches were generally successful in localizing known susceptibility loci on chromosomes 1 and 3, and were found to give broadly similar results. No advantage was found with the per-family conditioning approach. The effect on power and type 1 error of different choices of weighting scheme (to account for different numbers of affected siblings) in the multimarker approach was examined.
引用
收藏
页数:6
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