Title | Genetic linkage analysis in the age of whole-genome sequencing. |
Publication Type | Journal Article |
Year of Publication | 2015 |
Authors | Ott, J, Wang, J, Leal, SM |
Journal | Nat Rev Genet |
Volume | 16 |
Issue | 5 |
Pagination | 275-84 |
Date Published | 2015 May |
ISSN | 1471-0064 |
Keywords | Algorithms, Female, Genetic Linkage, Genome, Human, Genome-Wide Association Study, Genotyping Techniques, Humans, Lod Score, Male, Pedigree, Penetrance, Phenotype, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Software |
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. |
DOI | 10.1038/nrg3908 |
Alternate Journal | Nat. Rev. Genet. |
PubMed ID | 25824869 |
PubMed Central ID | PMC4440411 |
Grant List | R01 DC003594 / DC / NIDCD NIH HHS / United States R01 DC011651 / DC / NIDCD NIH HHS / United States UM1 HG006493 / HG / NHGRI NIH HHS / United States |