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使用单核苷酸多态性进行连锁分析。

Linkage analysis using single nucleotide polymorphisms.

作者信息

Browning Brian L, Brashear Donna L, Butler Andy A, Cyr Devon D, Harris Elizabeth C, Nelsen Anita J, Yarnall David P, Ehm Margaret G, Wagner Michael J

机构信息

GlaxoSmithKline, Research Triangle Park, NC 27709, USA.

出版信息

Hum Hered. 2004;57(4):220-7. doi: 10.1159/000081449.

Abstract

We performed multipoint linkage analysis using 83 markers from the SNP Consortium (TSC) SNP linkage map in 3 regions covering 190 cM previously scanned with microsatellite markers and found to be linked to type 2 diabetes. Since the average linkage disequilibrium present in the TSC SNP marker clusters is relatively low, we assumed the intracluster genetic distances were a reasonable small nonzero distance (0.03 cM) and performed linkage analysis using GENEHUNTER PLUS and ASM linkage analysis software. We found that for the pedigree structures and missing data patterns in our samples the average information content in all three regions and the LOD score curves in two regions obtained from the TSC SNP markers were similar to results obtained from microsatellite marker maps with 10 cM average spacing. We also give an algorithm which extends the Lander-Green algorithm to permit multipoint linkage analysis of clusters of tightly linked markers with arbitrarily high levels of intracluster linkage disequilibrium.

摘要

我们使用来自SNP联盟(TSC)SNP连锁图谱的83个标记,在3个区域进行了多点连锁分析,这3个区域覆盖了之前用微卫星标记扫描过的190厘摩,且发现与2型糖尿病相关。由于TSC SNP标记簇中存在的平均连锁不平衡相对较低,我们假设簇内遗传距离是一个合理的小非零距离(0.03厘摩),并使用GENEHUNTER PLUS和ASM连锁分析软件进行连锁分析。我们发现,对于我们样本中的家系结构和缺失数据模式,所有三个区域的平均信息含量以及从TSC SNP标记获得的两个区域的LOD评分曲线,与平均间距为10厘摩的微卫星标记图谱所得到的结果相似。我们还给出了一种算法,该算法扩展了兰德-格林算法,以允许对具有任意高水平簇内连锁不平衡的紧密连锁标记簇进行多点连锁分析。

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