Results 71 to 80 of about 2,663,291 (229)

Concurrent outcomes from multiple approaches of epistasis analysis for human body mass index associated loci provide insights into obesity biology

Scientific Reports, 2022
Genome wide association studies (GWAS) have focused on elucidating the genetic architecture of complex traits by assessing single variant effects in additive genetic models, albeit explaining a fraction of the trait heritability.
Sheldon D’Silva, Shreya Chakraborty, Bratati Kahali   +2 more
doaj   +1 more source

Bayesian neural networks for detecting epistasis in genetic association studies [PDF]

BMC Bioinformatics, 2014
Discovering causal genetic variants from large genetic association studies poses many difficult challenges. Assessing which genetic markers are involved in determining trait status is a computationally demanding task, especially in the presence of gene ...
Andrew Beam, A. Motsinger-Reif, Jon Doyle   +2 more
semanticscholar   +1 more source

Properties of selected mutations and genotypic landscapes under Fisher's Geometric Model

, 2014
The fitness landscape - the mapping between genotypes and fitness - determines properties of the process of adaptation. Several small genetic fitness landscapes have recently been built by selecting a handful of beneficial mutations and measuring fitness
Achaz, Guillaume, Bataillon, Thomas, Blanquart, François, Tenaillon, Olivier   +3 more
core   +1 more source

Epistasis and the genetics of human diseases

Comptes Rendus. Biologies, 2005
Epistasis or modifier genes, that is, gene-gene interactions of non-allelic partners, play a major role in susceptibility to common human diseases. This old genetic concept has experienced a major renaissance recently. Interestingly, epistatic genes can make the disease less severe, or make it more severe.
openaire   +3 more sources

wtest: an integrated R package for genetic epistasis testing [PDF]

BMC Medical Genomics, 2019
AbstractBackgroundWith the increasing amount of high-throughput genomic sequencing data, there is a growing demand for a robust and flexible tool to perform interaction analysis. The identification of SNP-SNP, SNP-CpG, and higher order interactions helps explain the genetic etiology of human diseases, yet genome-wide analysis for interactions has been ...
William K.K. Wu, Xiaoxuan Xia, Rui Sun, Ka Chun Chong, Benny Zee, Maggie Haitian Wang   +5 more
openaire   +4 more sources

Evidence of epistasis between Interleukin-1 and Selenoprotein-S with susceptibility to rheumatoid arthritis [PDF]

, 2009
Objective: Selenoprotein-S (SELS) is involved in the stress response within the endoplasmic reticulum (ER) and inflammation. Recently, promoter variants in the SELS gene were shown to be associated with plasma levels of interleukin (IL)6, IL1β and tumour
Binks, M.H., Dickson, M.C., Marinou, L., Montgomery, D.S., Walters, K., Wilson, A.G.   +5 more
core   +2 more sources

Contribution of genetic effects to genetic variance components with epistasis and linkage disequilibrium [PDF]

BMC Genetics, 2009
Cockerham genetic models are commonly used in quantitative trait loci (QTL) analysis with a special feature of partitioning genotypic variances into various genetic variance components, while the F(infinity) genetic models are widely used in genetic association studies. Over years, there have been some confusion about the relationship between these two
Zhao-Bang Zeng, Tao Wang
openaire   +4 more sources

eQTL epistasis – challenges and computational approaches

Frontiers in Genetics, 2013
The determination of eQTL epistasis - a form of functional interaction between genetic loci that affect gene expression - is an important step towards the thorough understanding of gene regulation.
Yang eHuang, Stefan eWuchty, Teresa M Przytycka   +2 more
doaj   +1 more source

A Natural Major Module Confers the Trade‐Off between Phenotypic Mean and Plasticity of Grain Chalkiness in Rice

Advanced Science, EarlyView.
This study reveals the genetic and molecular mechanisms controlling the general trade‐off between phenotypic mean and plasticity of grain chalkiness in rice and identifies two major external drivers (high temperature and wide grain) and a natural major module (GCP6‐MPC5) that control this trade‐off.
Juncheng Zhang, Yu Du, Pengkun Xu, Luyu Zhong, Zhi Li, Wenran Zhu, Yicheng Li, Bo Cheng, Xinyuan Chang, Yawei Fan, Yibo Li   +10 more
wiley   +1 more source

Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2021
Key message Including additive and additive-by-additive epistasis in a NOIA parametrization did not yield orthogonal partitioning of genetic variances, nevertheless, it improved predictive ability in a leave-one-out cross-validation for wheat grain yield.
M. Raffo, P. Sarup, Xiangyu Guo, Huiming Liu, J. R. Andersen, J. Orabi, A. Jahoor, J. Jensen   +7 more
semanticscholar   +1 more source