Merriman T R, Eaves I A, Twells R C, Merriman M E, Danoy P A, Muxworthy C E, Hunter K M, Cox R D, Cucca F, McKinney P A, Shield J P, Baum J D, Tuomilehto J, Tuomilehto-Wolf E, Ionesco-Tirgoviste C, Joner G, Thorsby E, Undlien D E, Pociot F, Nerup J, Ronningen K S, Bain S C, Todd J A
The Wellcome Trust Centre for Human Genetics, Nuffield Department of Surgery, University of Oxford, Windmill Road, Headington, Oxford OX3 7BN, UK.
Hum Mol Genet. 1998 Mar;7(3):517-24. doi: 10.1093/hmg/7.3.517.
Allelic association methods based on increased transmission of marker alleles will have to be employed for the mapping of complex disease susceptibility genes. However, because the extent of association of single marker alleles with disease is a function of the relative frequency of the allele on disease-associated chromosomes versus non disease-predisposing chromosomes, the most associated marker allele in a region will not necessarily be closest to the disease locus. To overcome this problem we describe a haplotype-based approach developed for mapping of the putative type 1 diabetes susceptibility gene IDDM6. Ten microsatellite markers spanning a 550 kb segment of chromosome 18q21 in the putative IDDM6 region were genotyped in 1708 type 1 diabetic Caucasian families from seven countries. The most likely ancestral diabetogenic chromosome was reconstructed in a stepwise fashion by analysing linkage disequilibrium between a previously defined haplotype of three adjacent markers and the next marker along the chromosome. A plot of transmission from heterozygous parents to affected offspring of single marker alleles present on the ancestral chromosome versus the physical distance between them, was compared with a plot of transmission of haplotypes of groups of three adjacent markers. Analysing transmission of haplotypes largely negated apparent decreases in transmission of single marker alleles. Peak support for association of the D18S487 region with IDDM6 is P = 0.0002 (corrected P = 0.01). The results also demonstrate the utility of polymorphic microsatellite markers to trace and delineate extended and presumably ancient haplotypes in the analysis of common disease and in the search for identical-by-descent chromosome regions that carry an aetiological variant.
基于标记等位基因传递增加的等位基因关联方法将不得不用于复杂疾病易感性基因的定位。然而,由于单个标记等位基因与疾病的关联程度是该等位基因在疾病相关染色体与非疾病易感染色体上相对频率的函数,一个区域中最相关的标记等位基因不一定最靠近疾病位点。为了克服这个问题,我们描述了一种基于单倍型的方法,该方法是为定位假定的1型糖尿病易感基因IDDM6而开发的。在来自七个国家的1708个1型糖尿病白种人家系中,对位于假定的IDDM6区域18号染色体q21区段550 kb片段上的10个微卫星标记进行了基因分型。通过分析三个相邻标记的先前定义单倍型与沿染色体的下一个标记之间的连锁不平衡,逐步重建最可能的祖传致糖尿病染色体。将祖传染色体上存在的单个标记等位基因从杂合亲本向患病后代的传递情况与其物理距离的关系图,与三个相邻标记组单倍型的传递情况图进行比较。分析单倍型的传递在很大程度上消除了单个标记等位基因传递明显下降的情况。D18S487区域与IDDM6关联的峰值支持度为P = 0.0002(校正后P = 0.01)。结果还证明了多态微卫星标记在分析常见疾病以及寻找携带病因变异的同源染色体区域时,用于追踪和描绘扩展的、可能古老的单倍型的效用。