Epi-MEIF: detecting higher order epistatic interactions for complex traits using mixed effect conditional inference forests

S Saha, L Perrin, L Röder, C Brun… - Nucleic Acids …, 2022 - academic.oup.com
Understanding the relationship between genetic variations and variations in complex and
quantitative phenotypes remains an ongoing challenge. While Genome-wide association …

Incorporating gene annotation into genomic prediction of complex phenotypes

N Gao, JWR Martini, Z Zhang, X Yuan, H Zhang… - Genetics, 2017 - academic.oup.com
Gao et al. propose several approaches to incorporate gene annotation into genomic
prediction and evaluate these new methods on populations..... Today, genomic prediction …

A simple method to separate base population and segregation effects in genomic relationship matrices

L Plieschke, C Edel, ECG Pimentel… - Genetics Selection …, 2015 - Springer
Background Genomic selection and estimation of genomic breeding values (GBV) are
widely used in cattle and plant breeding. Several studies have attempted to detect …

Statistical epistasis is a generic feature of gene regulatory networks

AB Gjuvsland, BJ Hayes, SW Omholt, O Carlborg - Genetics, 2007 - academic.oup.com
Functional dependencies between genes are a defining characteristic of gene networks
underlying quantitative traits. However, recent studies show that the proportion of the genetic …

TWAS results are complementary to and less affected by linkage disequilibrium than GWAS

D Li, Q Liu, PS Schnable - Plant physiology, 2021 - academic.oup.com
A genome-wide association study (GWAS) is used to identify genetic markers associated
with phenotypic variation. In contrast, a transcriptome-wide association study (TWAS) …

Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning

M Momen, M Bhatta, W Hussain, H Yu, G Morota - Plant Direct, 2021 - Wiley Online Library
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

[HTML][HTML] Combining partially overlapping multi-omics data in databases using relationship matrices

D Akdemir, R Knox, J Isidro y Sánchez - Frontiers in Plant Science, 2020 - frontiersin.org
Private and public breeding programs, as well as companies and universities, have
developed different genomics technologies that have resulted in the generation of …

Multiple quantitative trait analysis using Bayesian networks

M Scutari, P Howell, DJ Balding, I Mackay - Genetics, 2014 - academic.oup.com
Abstract Models for genome-wide prediction and association studies usually target a single
phenotypic trait. However, in animal and plant genetics it is common to record information on …

Gene-to-phenotype models and complex trait genetics

M Cooper, DW Podlich, OS Smith - Australian Journal of …, 2005 - CSIRO Publishing
The premise that is explored in this paper is that in some cases, in order to make progress in
the design of molecular breeding strategies for complex traits, we will need a theoretical …

Six degrees of epistasis: statistical network models for GWAS

BA McKinney, NM Pajewski - Frontiers in genetics, 2012 - frontiersin.org
There is growing evidence that much more of the genome than previously thought is
required to explain the heritability of complex phenotypes. Recent studies have …