Genetic linkage analysis in the age of whole-genome sequencing

被引：0
|
作者：
Jurg Ott
Jing Wang
Suzanne M. Leal
机构：
[1] Key Laboratory of Mental Health,Department of Human and Molecular Genetics
[2] Institute of Psychology,undefined
[3] Chinese Academy of Sciences,undefined
[4] Laboratory of Statistical Genetics,undefined
[5] Rockefeller University,undefined
[6] Center for Statistical Genetics,undefined
[7] Baylor College of Medicine,undefined
来源：
Nature Reviews Genetics | 2015年 / 16卷
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摘要：
Genetic linkage analysis can be used as a tool for estimating the genetic distance between two loci.In family data, a small recombination fraction between a hypothesized disease locus and a genetic marker is evidence of short distance between the two loci.Linkage analysis is contrasted with family-based association analysis, in which unaffected family members serve as control individuals (in family-based association tests).Single-nucleotide variants (SNVs) generated by whole-genome sequencing (WGS) can be used in linkage analysis.We describe various linkage algorithms and their properties, as well as their implementations.A detailed enumeration of the pertinent steps in linkage analysis provides a guideline for non-specialists on procedures and pitfalls.
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页码：275 / 284
页数：9
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