Estimation and interpretation of genetic effects with epistasis using the NOIA model
JM Alvarez-Castro, Ö Carlborg… - Quantitative Trait Loci (QTL …, 2012 - Springer
We introduce this communication with a brief outline of the historical landmarks in genetic
modeling, especially concerning epistasis. Then, we present methods for the use of genetic …
modeling, especially concerning epistasis. Then, we present methods for the use of genetic …
Influence of gene interaction on complex trait variation with multilocus models
A Mäki-Tanila, WG Hill - Genetics, 2014 - academic.oup.com
Although research effort is being expended into determining the importance of epistasis and
epistatic variance for complex traits, there is considerable controversy about their …
epistatic variance for complex traits, there is considerable controversy about their …
[HTML][HTML] An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation
The H-matrix best linear unbiased prediction (HBLUP) method has been widely used in
livestock breeding programs. It can integrate all information, including pedigree, genotypes …
livestock breeding programs. It can integrate all information, including pedigree, genotypes …
[HTML][HTML] Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis …
Background Epistasis marker effect models incorporating products of marker values as
predictor variables in a linear regression approach (extended GBLUP, EGBLUP) have been …
predictor variables in a linear regression approach (extended GBLUP, EGBLUP) have been …
[HTML][HTML] Polygenic power calculator: Statistical power and polygenic prediction accuracy of genome-wide association studies of complex traits
T Wu, Z Liu, TSH Mak, PC Sham - Frontiers in Genetics, 2022 - frontiersin.org
Power calculation is a necessary step when planning genome-wide association studies
(GWAS) to ensure meaningful findings. Statistical power of GWAS depends on the genetic …
(GWAS) to ensure meaningful findings. Statistical power of GWAS depends on the genetic …
[HTML][HTML] Metafounders are related to F st fixation indices and reduce bias in single-step genomic evaluations
CA Garcia-Baccino, A Legarra, OF Christensen… - Genetics Selection …, 2017 - Springer
Background Metafounders are pseudo-individuals that encapsulate genetic heterozygosity
and relationships within and across base pedigree populations, ie ancestral populations …
and relationships within and across base pedigree populations, ie ancestral populations …
Genomic model with correlation between additive and dominance effects
Dominance genetic effects are rarely included in pedigree-based genetic evaluation. With
the availability of single nucleotide polymorphism markers and the development of genomic …
the availability of single nucleotide polymorphism markers and the development of genomic …
[HTML][HTML] Gene action, genetic variation, and GWAS: A user-friendly web tool
Fisher's partitioning of genotypic values and genetic variance is highly relevant in the current
era of genome-wide association studies (GWASs). However, despite being more than a …
era of genome-wide association studies (GWASs). However, despite being more than a …
[HTML][HTML] Significance of linkage disequilibrium and epistasis on genetic variances in noninbred and inbred populations
JMS Viana, AAF Garcia - BMC genomics, 2022 - Springer
Background The influence of linkage disequilibrium (LD), epistasis, and inbreeding on
genotypic variance continues to be an important area of investigation in genetics and …
genotypic variance continues to be an important area of investigation in genetics and …
Robust Genomic Prediction and Heritability Estimation using Density Power Divergence
UP Chowdhury, S Das, A Ghosh - arXiv preprint arXiv:2401.07344, 2024 - arxiv.org
This manuscript delves into the intersection of genomics and phenotypic prediction, focusing
on the statistical innovation required to navigate the complexities introduced by noisy …
on the statistical innovation required to navigate the complexities introduced by noisy …