Results 51 to 60 of about 25,753 (217)
Biomolecules, 2023 The accuracy of predicting seven human phenotypes of 3657–7564 individuals using global epistasis effects was evaluated and compared to the accuracy of haplotype genomic prediction using 380,705 SNPs and 10-fold cross-validation studies.
Zuoxiang Liang +2 more
doaj +1 more source
Speciation Genetics: Epistasis, Conflict and the Origin of Species [PDF]
Current Biology, 2007 Evolutionary biologists have long recognized that the sterility and inviability of species hybrids must involve incompatible epistatic interactions between two (or more) genes. The first pair of such hybrid incompatibility genes has now been identified.
openaire +2 more sources
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
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 +2 more
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Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining
Molecular Oncology, EarlyView.IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis +3 more
wiley +1 more source
Lower-order effects adjustment in quantitative traits model-based multifactor dimensionality reduction. [PDF]
PLoS ONE, 2012 Identifying gene-gene interactions or gene-environment interactions in studies of human complex diseases remains a big challenge in genetic epidemiology.
Jestinah M Mahachie John +4 more
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Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
Advanced Science, EarlyView.This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
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 +2 more
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Cross Kingdom Metabolic Engineering Paradigm Elevating Sustainable Protein Production
Advanced Science, EarlyView.ABSTRACT Confronting the dual crisis of escalating global protein demand and unsustainable agriculture necessitates transformative solutions. Here, we pioneer evolutionary insights from maize nitrogen optimization via asparagine synthetase (ASNS) to rewire metabolism in Pichia pastoris.
Yuanyuan Du +4 more
wiley +1 more source
Revista Facultad Nacional de Agronomía Medellín, 2019 Genetic parameters such as leaf relative water content, leaf chlorophyll content, plant height, above-ground biomass, harvest index, grain yield, and grain yield components of Bousselam/Mrb5 durum wheat (Triticum durum Desf.) cross were estimated based ...
Manel Salmi +6 more
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