Otro
A Bayesian approach for constructing genetic maps when markers are miscoded
Registration in:
Genetics Selection Evolution, v. 34, n. 3, p. 353-369, 2002.
0999-193X
10.1186/1297-9686-34-3-353
WOS:000176561700004
2-s2.0-0035983153.pdf
2-s2.0-0035983153
Author
Rosa, Guilherme J. M.
Yandell, Brian S.
Gianola, Daniel
Abstract
The advent of molecular markers has created opportunities for a better understanding of quantitative inheritance and for developing novel strategies for genetic improvement of agricultural species, using information on quantitative trait loci (QTL). A QTL analysis relies on accurate genetic marker maps. At present, most statistical methods used for map construction ignore the fact that molecular data may be read with error. Often, however, there is ambiguity about some marker genotypes. A Bayesian MCMC approach for inferences about a genetic marker map when random miscoding of genotypes occurs is presented, and simulated and real data sets are analyzed. The results suggest that unless there is strong reason to believe that genotypes are ascertained without error, the proposed approach provides more reliable inference on the genetic map.
Subjects
Related items
Showing items related by title, author, creator and subject.
-
Population, Epidemiological, and Functional Genetics of Gastric Cancer Candidate Genes in Peruvians with Predominant Amerindian Ancestry
Unknown author (Springer, 2015)Background. Gastric adenocarcinoma is associated with chronic infection by Helicobacter pylori and with the host inflammatory response triggered by it, with substantial inter-person variation in the immune response profile ... -
Multiethnic GWAS Reveals Polygenic Architecture of Earlobe Attachment
Unknown author (Elsevier, 2017)The genetic basis of earlobe attachment has been a matter of debate since the early 20th century, such that geneticists argue both for and against polygenic inheritance. Recent genetic studies have identified a few loci ... -
A global reference for human genetic variation
Unknown author (Nature Research, 2015)The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report ...