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单点多态性和微卫星图谱的多点血缘关系计算。

Multipoint identity-by-descent computations for single-point polymorphism and microsatellite maps.

机构信息

Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.

出版信息

BMC Genet. 2005 Dec 30;6 Suppl 1(Suppl 1):S34. doi: 10.1186/1471-2156-6-S1-S34.

Abstract

We used the LOKI software to generate multipoint identity-by-descent matrices for a microsatellite map (with 31 markers) and two single-nucleotide polymorphism (SNP) maps to examine information content across chromosome 7 in the Collaborative Study on the Genetics of Alcoholism dataset. Despite the lower information provided by a single SNP, SNP maps overall had higher and more uniform information content across the chromosome. The Affymetrix map (578 SNPs) and the Illumina map (271 SNPs) provided almost identical information. However, increased information has a computational cost: SNP maps require 100 times as many iterations as microsatellites to produce stable estimates.

摘要

我们使用 LOKI 软件为微卫星图谱(含 31 个标记)和两个单核苷酸多态性(SNP)图谱生成多点亲缘关系矩阵,以检验在酒精中毒遗传学协作研究数据集第 7 号染色体上的信息含量。尽管单个 SNP 提供的信息量较低,但 SNP 图谱在整个染色体上的信息量更高且更均匀。Affymetrix 图谱(578 个 SNP)和 Illumina 图谱(271 个 SNP)提供的信息几乎相同。然而,增加信息量需要付出计算代价:SNP 图谱产生稳定估计所需的迭代次数是微卫星图谱的 100 倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a9e/1866751/3abb833f2d6c/1471-2156-6-S1-S34-1.jpg

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