Genome-wide Linkage Analysis with Clustered SNP Markers

被引:4
|
作者
Selmero, Kaja K. [1 ,2 ]
Brandal, Kristin [2 ]
Olstad, Ole K. [3 ]
Birkenes, Bard [2 ]
Undlien, Dag E. [1 ,2 ]
Egeland, Thore [1 ,4 ]
机构
[1] Ullevaal Univ Hosp, Dept Med Genet, N-0407 Oslo, Norway
[2] Univ Oslo, Inst Med Genet, Oslo 3, Norway
[3] Ullevaal Univ Hosp, Dept Clin Chem, N-0407 Oslo, Norway
[4] Oslo Univ Coll, Oslo, Norway
关键词
genome wide; linkage analysis; single nucleotide polymorphisms; large pedigrees; software; SINGLE-NUCLEOTIDE POLYMORPHISMS; MAP;
D O I
10.1177/1087057108327327
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Single nucleotide polymorphisms (SNPs) have recently replaced microsatellites as the genetic markers of choice in linkage analysis, primarily because they are more abundant and the genotypes more amenable for automatic calling. One of the most recently launched linkage mapping sets (LMS) is the Applied Biosystems Human LMS 4K, which is a genome-wide linkage set based on the SNPlex (TM) technology and the use of clustered SNPs. In this article the authors report on their experience with this set and the associated genotyping software GeneMapper (R) version 4.0, which they have used for linkage analyses in 17 moderate to large families with assumed monogenic disease. For comparison of methods, they also performed a genome-wide linkage analysis in 1 of the 17 families using the Affymetrix GeneChip (R) Human Mapping 10K 2.0 array. The conclusion is that both methods performed technically well, with high call rates and comparable and low rates of Mendelian linconsistencies. However, genotyping is less automated in GeneMapper (R) version 4.0 than in the Affymetrix software and thus more time consuming. (Journal of Biomolecular Screening 2009:92-96)
引用
收藏
页码:92 / 96
页数:5
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