ArticleGenetics2004
Mapping quantitative trait Loci interactions from the maternal and offspring genomes.
Article in Genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Natural averaging may complement known biological constraints in sexual reproduction's advantages over asexual in conserving species quantitative traits.Scientific reports · 2025Article
- Mapping complex traits as a dynamic system.Physics of life reviews · 2015Review
- Article
- Mixed linear model approach for mapping quantitative trait loci underlying crop seed traits.Heredity · 2014Article
- Genome Scan for Parent-of-Origin QTL Effects on Bovine Growth and Carcass Traits.Frontiers in genetics · 2011Article
- A statistical model for estimating maternal-zygotic interactions and parent-of-origin effects of QTLs for seed development.PloS one · 2008Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The expression of most developmental or behavioral traits involves complex interactions between quantitative trait loci (QTL) from the maternal and offspring genomes. The maternal-offspring interactions play a pivotal role in shaping the direction and rate of evolution in terms of their substantial contribution to quantitative genetic (co)variation. To study the genetics and evolution of maternal-offspring interactions, a unifying statistical framework that embraces both the direct and indirect genetic effects of maternal and offspring QTL on any complex trait is developed. This model is derived for a simple backcross design within the maximum-likelihood context, implemented with the EM algorithm. Results from extensive simulations suggest that this model can provide reasonable estimation of additive and dominant effects of the QTL at different generations and their interaction effects derived from the maternal and offspring genomes. Although our model is framed to characterize the actions and interactions of maternal and offspring QTL affecting offspring traits, the idea can be readily extended to decipher the genetic machinery of maternal traits, such as maternal care. Our model provides a powerful means for studying the evolutionary significance of indirect genetic effects in any sexually reproductive organisms.
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Registered trials
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