ArticleG3 (Bethesda, Md.)2015
Estimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic Data.
Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Meta-analysis of genome-wide association studies uncovers shared candidate genes across breeds for pig fatness trait.BMC genomics · 2022Pooled it
- Evaluating effect of different dominance genotype encodings on genome-wide association studies and genomic selection.Animal bioscience · 2025Article
- Genomic dissection of additive and non-additive genetic effects and genomic prediction in an open-pollinated family test of Japanese larch.BMC genomics · 2024Article
- Dominance is common in mammals and is associated with trans-acting gene expression and alternative splicing.Genome biology · 2023Article
- Analysis of genetic dominance in the UK Biobank.Science (New York, N.Y.) · 2023Article
- A simulation framework for reciprocal recurrent selection-based hybrid breeding under transparent and opaque simulators.Frontiers in plant science · 2023Article
- Impacts of additive, dominance, and inbreeding depression effects on genomic evaluation by combining two SNP chips in Canadian Yorkshire pigs bred in China.Genetics, selection, evolution : GSE · 2022Article
- Evaluation of Breeding Values and Variance Components of Birth and Weaning Weights in the Holstein Cows Herd Based on Genetic Information.Archives of Razi Institute · 2022Article
- Genic and non-genic SNP contributions to additive and dominance genetic effects in purebred and crossbred pig traits.Scientific reports · 2022Article
- Genetic architecture and major genes for backfat thickness in pig lines of diverse genetic backgrounds.Genetics, selection, evolution : GSE · 2021Article
- SNP-based mate allocation strategies to maximize total genetic value in pigs.Genetics, selection, evolution : GSE · 2019Article
- Modeling copy number variation in the genomic prediction of maize hybrids.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Genome-wide association scan for heterotic quantitative trait loci in multi-breed and crossbred beef cattle.Genetics, selection, evolution : GSE · 2018Article
- Modeling heterotic effects in beef cattle using genome-wide SNP-marker genotypes.Journal of animal science · 2018Article
- Balanced selection on purebred and crossbred performance increases gain in crossbreds.Genetics, selection, evolution : GSE · 2018Article
- Partitioning Phenotypic Variance Due to Parent-of-Origin Effects Using Genomic Relatedness Matrices.Behavior genetics · 2018Article
- Genomic selection for crossbred performance accounting for breed-specific effects.Genetics, selection, evolution : GSE · 2017Article
- Dissection of additive, dominance, and imprinting effects for production and reproduction traits in Holstein cattle.BMC genomics · 2017Article
- Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs.Genetics, selection, evolution : GSE · 2016Article
- Genomic prediction using models with dominance and imprinting effects for backfat thickness and average daily gain in Danish Duroc pigs.Genetics, selection, evolution : GSE · 2016Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditionally, exploration of genetic variance in humans, plants, and livestock species has been limited mostly to the use of additive effects estimated using pedigree data. However, with the development of dense panels of single-nucleotide polymorphisms (SNPs), the exploration of genetic variation of complex traits is moving from quantifying the resemblance between family members to the dissection of genetic variation at individual loci. With SNPs, we were able to quantify the contribution of additive, dominance, and imprinting variance to the total genetic variance by using a SNP regression method. The method was validated in simulated data and applied to three traits (number of teats, backfat, and lifetime daily gain) in three purebred pig populations. In simulated data, the estimates of additive, dominance, and imprinting variance were very close to the simulated values. In real data, dominance effects account for a substantial proportion of the total genetic variance (up to 44%) for these traits in these populations. The contribution of imprinting to the total phenotypic variance of the evaluated traits was relatively small (1-3%). Our results indicate a strong relationship between additive variance explained per chromosome and chromosome length, which has been described previously for other traits in other species. We also show that a similar linear relationship exists for dominance and imprinting variance. These novel results improve our understanding of the genetic architecture of the evaluated traits and shows promise to apply the SNP regression method to other traits and species, including human diseases.
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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.