QTL mapping.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: QTL mapping.
Συγγραφείς: Xu S; Department of Botany and Plant Sciences, University of California Riverside, Riverside, CA 92521, United States.
Πηγή: Genetics [Genetics] 2026 Oct 07; Vol. 234 (2).
Τύπος έκδοσης: Journal Article; Review
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Oxford University Press Country of Publication: United States NLM ID: 0374636 Publication Model: Print Cited Medium: Internet ISSN: 1943-2631 (Electronic) Linking ISSN: 00166731 NLM ISO Abbreviation: Genetics Subsets: MEDLINE
Imprint Name(s): Publication: 2021- : [Oxford] : Oxford University Press
Original Publication: Austin, Tex. [etc.]
Ιατρικοί όροι (MeSH): Chromosome Mapping*/methods , Quantitative Trait Loci*, Animals ; Humans ; Models, Genetic
Περίληψη: Most biologically relevant traits are quantitative, controlled by multiple genes, and can be influenced by the environment. The multiple genes, collectively called quantitative trait loci (QTL), segregate according to Mendel's law of inheritance. DNA markers also follow Mendelian expectations but with no apparent effects on quantitative traits. The genomic positions of DNA markers are known or can be inferred with computational algorithms. Combining the observable segregation of markers with that of QTL linked on the same chromosome is the basis of QTL mapping. In plants, QTL mapping depends on crossing experiments. In animals and humans, QTL mapping can be carried out with highly structured family data. The detected QTL represent genomic regions whose lengths depend on population type and sample size. This Primer unpacks the basics of QTL mapping with the goal of being accessible to audiences with limited statistical and genetic knowledge.
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Competing Interests: Conflicts of interest: None declared.
Contributed Indexing: Keywords: Bayesian mapping; composite interval mapping; interval mapping; polygenic model
Entry Date(s): Date Created: 20260818 Date Completed: 20261007 Latest Revision: 20261008
Update Code: 20261008
DOI: 10.1093/genetics/iyag197
PMID: 42610702
Βάση Δεδομένων: MEDLINE