Results 101 to 110 of about 48,693 (213)
Detecting epistasis via Markov bases [PDF]
Rapid research progress in genotyping techniques have allowed large genome-wide association studies. Existing methods often focus on determining associations between single loci and a specific phenotype.
Malaspinas, Anna-Sapfo, Uhler, Caroline
core +1 more source
Abstract Cacao (Theobroma cacao), the source of chocolate, is threatened by devastating diseases like frosty pod rot (FPR) and witches' broom disease (WBD), impacting global production and farmer livelihoods. Here, we employ a machine learning‐driven genome‐wide association study to dissect the genetic architecture of disease resistance and ...
Ezekiel Ahn+9 more
wiley +1 more source
Abstract A diverse panel of 320 winter wheat (Triticum aestivum L.) genotypes was evaluated for yield‐related parameters under control and high night‐time temperature (HNT) stress using custom‐designed, movable field‐based heat tents over 2 years. Genome‐wide association mapping identified several significant single nucleotide polymorphisms (SNPs ...
Dinesh Kumar Saini+5 more
wiley +1 more source
Why epistasis is important for tackling complex human disease genetics [PDF]
Epistasis has been dismissed by some as having little role in the genetic architecture of complex human disease. The authors argue that this view is the result of a misconception and explain why exploring epistasis is likely to be crucial to understanding and predicting complex disease.
Jason H. Moore, Trudy F. C. Mackay
openaire +3 more sources
Trait mapping differentiates loci influencing spike and flag leaf glaucousness in wheat
Abstract The bluish‐white appearance of some plants, known as glaucousness, results from the scattering effect of visible light due to plant surface waxes. This adaptive trait can contribute to tolerance of abiotic stresses in wheat (Triticum aestivum L.) such as drought, solar radiation, and heat.
Daniela Miller+7 more
wiley +1 more source
Epistasis dominates the genetic architecture of Drosophila quantitative traits [PDF]
Epistasis—nonlinear genetic interactions between polymorphic loci—is the genetic basis of canalization and speciation, and epistatic interactions can be used to infer genetic networks affecting quantitative traits. However, the role that epistasis plays in the genetic architecture of quantitative traits is controversial.
Dianhui Zhu+24 more
openaire +3 more sources
Investigating the determinants of performance in machine learning for protein fitness prediction
Abstract Machine learning (ML) has revolutionized protein biology, solving long‐standing problems in protein folding, scaffold generation, and function design tasks. A range of architectures have shown success on supervised protein fitness prediction tasks.
Mahakaran Sandhu+5 more
wiley +1 more source
Independently evolving populations may adapt to similar selection pressures via different genetic changes. The interactions between such changes, such as in a hybrid individual, can inform us about what course adaptation may follow and allow us to ...
Jasmine Ono+2 more
doaj +1 more source
ABSTRACT Drug repurposing is an authentic, emerging, and growing aspect of drug development when the demand for new therapeutic solutions is high. Many repurposed drugs have been discovered by serendipity or a non‐ordered process driven by chance and sharp observation.
Richard Head+2 more
wiley +1 more source
While there is good reason to believe EF research has been subject to genetic confounding, the specialized samples required to test for it can be impractical for researchers. We tested one proposed alternative genetic control, polygenic scores, finding that they produced modest evidence for genetic confounding inconsistent with other literature ...
Lucas C. Perry+2 more
wiley +1 more source