Evidence map›Paper›PMID 22039993›Full record

ArticleBMC plant biology2011

Multiallelic epistatic model for an out-bred cross and mapping algorithm of interactive quantitative trait loci.

Chunfa Tong, Bo Zhang, Zhong Wang, Meng Xu, Xiaoming Pang, Jingna Si, Minren Huang, Rongling Wu

Open access · goldAbstract read
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Article in BMC plant biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 37% of its field
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Chunfa TongCenter for Statistical Genetics, The Pennsylvania State University, Hershey, PA 17033, USA.
Bo Zhang
Zhong Wang
Meng Xu
Xiaoming Pang
Jingna Si
Minren Huang
Rongling Wu
Beijing Forestry University · CNNanjing Forestry University · CNPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic mapping has proven to be powerful for studying the genetic architecture of complex traits by characterizing a network of the underlying interacting quantitative trait loci (QTLs). Current statistical models for genetic mapping were mostly founded on the biallelic epistasis of QTLs, incapable of analyzing multiallelic QTLs and their interactions that are widespread in an outcrossing population.

resultsHere we have formulated a general framework to model and define the epistasis between multiallelic QTLs. Based on this framework, we have derived a statistical algorithm for the estimation and test of multiallelic epistasis between different QTLs in a full-sib family of outcrossing species. We used this algorithm to genomewide scan for the distribution of multiallelic epistasis for a rooting ability trait in an outbred cross derived from two heterozygous poplar trees. The results from simulation studies indicate that the positions and effects of multiallelic QTLs can well be estimated with a modest sample and heritability.

conclusionsThe model and algorithm developed provide a useful tool for better characterizing the genetic control of complex traits in a heterozygous family derived from outcrossing species, such as forest trees, and thus fill a gap that occurs in genetic mapping of this group of important but underrepresented species.

Indexed as

AlgorithmsCrosses, GeneticEpistasis, GeneticModels, GeneticQuantitative Trait LociMonte Carlo MethodPopulusSoftware

Identifiers

PMID22039993
PMCPMC3377927
OpenAlexW2106887813

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.