Results 31 to 40 of about 247,905 (333)

GWAS quality score for evaluating associated regions in GWAS analyses

open access: yesBioinformatics, 2023
Abstract Motivation The number of significantly associated regions reported in genome-wide association studies (GWAS) for polygenic traits typically increases with sample size. A traditional tool for quality control and identification of significant regions has been a visual inspection of how ...
Swapnil Awasthi   +5 more
openaire   +2 more sources

Features of functional annotation of rheumatoid arthritis susceptibility genes by Cytoscape

open access: yesБюллетень сибирской медицины, 2020
Aim. To evaluate the functional annotation of genes associated with rheumatoid arthritis with different parameters of the ClueGO Cytoscape tool.Materials and methods.
N. Yu. Chasovskikh
doaj   +1 more source

TIGA: target illumination GWAS analytics [PDF]

open access: yesBioinformatics, 2020
Abstract Motivation Genome-wide association studies can reveal important genotype–phenotype associations; however, data quality and interpretability issues must be addressed. For drug discovery scientists seeking to prioritize targets based on the available evidence, these issues go beyond the ...
Jeremy J Yang   +8 more
openaire   +4 more sources

An integrated genomic approach for the study of mandibular prognathism in the European seabass (Dicentrarchus labrax) [PDF]

open access: yes, 2016
Skeletal anomalies in farmed fish are a relevant issue affecting animal welfare and health and causing significant economic losses. Here, a high-density genetic map of European seabass for QTL mapping of jaw deformity was constructed and a genome-wide ...
Babbucci, Massimiliano   +7 more
core   +2 more sources

Achieving GWAS with homomorphic encryption [PDF]

open access: yesBMC Medical Genomics, 2020
Abstract Background One way of investigating how genes affect human traits would be with a genome-wide association study (GWAS). Genetic markers, known as single-nucleotide polymorphism (SNP), are used in GWAS. This raises privacy and security concerns as these genetic markers can be used to identify individuals uniquely.
Jun Jie Sim   +4 more
openaire   +4 more sources

Maximum difference analysis: a new empirical method for genome-wide association studies

open access: yesItalian Journal of Animal Science, 2016
The availability of high-density single nucleotide polymorphism (SNPs) panels for humans and, recently, for several livestock species has given a great impulse to genome-wide association studies towards the identification of genes associated with complex
Massimo Cellesi   +6 more
doaj   +1 more source

Genome-Wide Association Study for Maize Leaf Cuticular Conductance Identifies Candidate Genes Involved in the Regulation of Cuticle Development. [PDF]

open access: yes, 2020
The cuticle, a hydrophobic layer of cutin and waxes synthesized by plant epidermal cells, is the major barrier to water loss when stomata are closed at night and under water-limited conditions.
Baseggio, Matheus   +12 more
core   +2 more sources

Rpv34: the noval Plasmopara viticola resistance locus in 'Moldova'

open access: yesFruit Research
Downy mildew (DM), caused by Plasmopara viticola, is one of the most serious diseases that affects grape production worldwide. Utilizing host resistance, commonly known as 'R' genes, is considered the most effective way to cure the disease.
Yan Sun   +14 more
doaj   +1 more source

GWAS and drug targets [PDF]

open access: yesBMC Genomics, 2014
Genome wide association studies (GWAS) have revealed a large number of links between genome variation and complex disease. Among other benefits, it is expected that these insights will lead to new therapeutic strategies, particularly the identification of new drug targets.
Cao, Chen, Moult, John
openaire   +3 more sources

Selective sweep and GWAS provide insights into adaptive variation of Populus cathayana leaves

open access: yesForestry Research
Leaf morphology plays a crucial role in predicting the productivity and environmental adaptability of forest trees, making it essential to understand the genetic mechanisms behind leaf variation.
Xinglu Zhou   +4 more
doaj   +1 more source

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