ArticleGenetics2007
Genomewide analysis of epistatic effects for quantitative traits in barley.
Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
52 citing papers in PubMed, 122 citations in OpenAlex.
- Mapping QTL for seedling morphological and physiological traits under normal and salt treatments in a RIL wheat population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Effects of kinship correction on inflation of genetic interaction statistics in commonly used mouse populations.G3 (Bethesda, Md.) · 2021Article
- Genetic Analysis of Heterosis for Yield Influencing Traits inFrontiers in plant science · 2021Article
- A Multi-Locus Association Model Framework for Nested Association Mapping With Discriminating QTL Effects in Various Subpopulations.Frontiers in genetics · 2020Article
- Genetic factors affecting Fusarium head blight resistance improvement from introgression of exotic Sumai 3 alleles (including Fhb1, Fhb2, and Fhb5) in hard red spring wheat.BMC plant biology · 2019Article
- A Low Resolution Epistasis Mapping Approach To Identify Chromosome Arm Interactions in Allohexaploid Wheat.G3 (Bethesda, Md.) · 2019Article
- Genetic architecture underlying the lignin biosynthesis pathway involves noncoding RNAs and transcription factors for growth and wood properties in Populus.Plant biotechnology journal · 2019Article
- Capturing pair-wise epistatic effects associated with three agronomic traits in barley.Genetica · 2018Article
- The Interactions between the Long Non-coding RNA NERDL and Its Target Gene Affect Wood Formation inFrontiers in plant science · 2017Article
- Bayesian reversible-jump for epistasis analysis in genomic studies.BMC genomics · 2016Article
- PEPIS: A Pipeline for Estimating Epistatic Effects in Quantitative Trait Locus Mapping and Genome-Wide Association Studies.PLoS computational biology · 2016Article
- Association mapping in Populus reveals the interaction between Pto-miR530a and its target Pto-KNAT1.Planta · 2015Article
- Bayesian analysis of additive epistasis arising from new mutations in mice.Genetics research · 2014Article
- Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014Article
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- Swift block-updating EM and pseudo-EM procedures for Bayesian shrinkage analysis of quantitative trait loci.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Article
- Prediction of genetic values of quantitative traits with epistatic effects in plant breeding populations.Heredity · 2012Article
- Will genomic selection be a practical method for plant breeding?Annals of botany · 2012Review
- Identification of Ug99 stem rust resistance loci in winter wheat germplasm using genome-wide association analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The doubled-haploid (DH) barley population (Harrington x TR306) developed by the North American Barley Genome Mapping Project (NABGMP) for QTL mapping consisted of 145 lines and 127 markers covering a total genome length of 1270 cM. These DH lines were evaluated in approximately 25 environments for seven quantitative traits: heading, height, kernel weight, lodging, maturity, test weight, and yield. We applied an empirical Bayes method that simultaneously estimates 127 main effects for all markers and 127(127-1)/2=8001 interaction effects for all marker pairs in a single model. We found that the largest main-effect QTL (single marker) and the largest epistatic effect (single pair of markers) explained approximately 18 and 2.6% of the phenotypic variance, respectively. On average, the sum of all significant main effects and the sum of all significant epistatic effects contributed 35 and 6% of the total phenotypic variance, respectively. Epistasis seems to be negligible for all the seven traits. We also found that whether two loci interact does not depend on whether or not the loci have individual main effects. This invalidates the common practice of epistatic analysis in which epistatic effects are estimated only for pairs of loci of which both have main effects.
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Registered trials
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.