title: Genetic linkage analysis in the age of whole-genome sequencing.
abstract: For many years, linkage analysis was the primary tool used for the genetic mapping of Mendelian and complex traits with familial aggregation. Linkage analysis was largely supplanted by the wide adoption of genome-wide association studies (GWASs). However, with the recent increased use of whole-genome sequencing (WGS), linkage analysis is again emerging as an important and powerful analysis method for the identification of genes involved in disease aetiology, often in conjunction with WGS filtering approaches. Here, we review the principles of linkage analysis and provide practical guidelines for carrying out linkage studies using WGS data.
authors.affiliation: 1] Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China. [2] Laboratory of Statistical Genetics, Rockefeller University, 1230 York Avenue, New York, New York 10065, USA.
authors.forename: Jurg
authors.initials: J
authors.lastname: Ott
authors.affiliation: Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Wang
authors.affiliation: Center for Statistical Genetics, Department of Human and Molecular Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA.
authors.forename: Suzanne M
authors.initials: SM
authors.lastname: Leal
mesh_terms: D000465:Algorithms; D005260:Female; D008040:Genetic Linkage; D015894:Genome, Human; D055106:Genome-Wide Association Study / Q000379:methods / Q000706:statistics & numerical data; D060005:Genotyping Techniques; D006801:Humans; D008126:Lod Score; D008297:Male; D010375:Pedigree; D019683:Penetrance; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide; D017422:Sequence Analysis, DNA; D012984:Software
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