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Functional Enrichment Analysis Identifying Regulatory Information Associated with Human Fracture
Dozens of loci associated with fracture have been identified by genome-wide association studies (GWASs). However, most of these variants are located...
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An overview of detecting gene-trait associations by integrating GWAS summary statistics and eQTLs
Detecting genes that affect specific traits (such as human diseases and crop yields) is important for treating complex diseases and improving crop...
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Sequence-based GWAS meta-analyses for beef production traits
BackgroundCombining the results of within-population genome-wide association studies (GWAS) based on whole-genome sequences into a single...
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BridGE: a pathway-based analysis tool for detecting genetic interactions from GWAS
Genetic interactions have the potential to modulate phenotypes, including human disease. In principle, genome-wide association studies (GWAS) provide...
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Regulatory landscape enrichment analysis (RLEA): a computational toolkit for non-coding variant enrichment and cell type prioritization
BackgroundAs genomic studies continue to implicate non-coding sequences in disease, testing the roles of these variants requires insights into the...
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Multi-trait GWAS for diverse ancestries: map** the knowledge gap
BackgroundApproximately 95% of samples analyzed in univariate genome-wide association studies (GWAS) are of European ancestry. This bias toward...
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GWAS meta-analysis reveals key risk loci in essential tremor pathogenesis
Essential tremor (ET) is a prevalent neurological disorder with a largely unknown underlying biology. In this genome-wide association study...
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A multi-ancestry GWAS of Fuchs corneal dystrophy highlights the contributions of laminins, collagen, and endothelial cell regulation
Fuchs endothelial corneal dystrophy (FECD) is a leading indication for corneal transplantation, but its molecular etiology remains poorly understood....
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Exploring the phosphorus–starch content balance mechanisms in maize grains using GWAS population and transcriptome data
Examining the connection between P and starch-related signals can help elucidate the balance between nutrients and yield. This study utilized 307...
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Combining GS-assisted GWAS and transcriptome analysis to mine candidate genes for nitrogen utilization efficiency in Populus cathayana
BackgroundForest trees such as poplar, shrub willow, et al. are essential natural resources for sustainable and renewable energy production, and...
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GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination
Direct seeding of rice is a lightweight and simple cultivation method, which can effectively promote rice production. Anaerobic germination tolerance...
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An adaptive test based on principal components for detecting multiple phenotype associations using GWAS summary data
Extensive evidence from genome-wide association studies (GWAS) has shown that jointly analyzing multiple phenotypes can improve the power of the...
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Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS
BackgroundRice is the second-largest food crop in the world and vulnerable to bacterial leaf streak disease. A thorough comprehension of the genetic...
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GOAT: efficient and robust identification of gene set enrichment
Gene set enrichment analysis is foundational to the interpretation of high throughput biology. Identifying enriched Gene Ontology (GO) terms or...
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Recent advances on genome-wide association studies (GWAS) and genomic selection (GS); prospects for Fusarium head blight research in Durum wheat
PurposeWheat is an important cereal crop that is cultivated in different parts of the world. The biotic stresses are the major concerns in...
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Integration of eQTL and GWAS analysis uncovers a genetic regulation of natural ionomic variation in Arabidopsis
Key messageThis study provided important insights into the genetic architecture of variations in
A. thaliana leaf ionome in a cell-type-specific... -
Integrative analysis of 3604 GWAS reveals multiple novel cell type-specific regulatory associations
BackgroundGenome-wide association study (GWAS) single nucleotide polymorphisms (SNPs) are known to preferentially co-locate to active regulatory...
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Identification of adult resistant genes to stripe rust in wheat from southwestern China based on GWAS and WGCNA analysis
Key messageIn this study, genome-wide association studies combined with transcriptome data analysis were utilized to reveal potential candidate genes...
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Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data
BackgroundBrain volume has been widely studied in the neuroimaging field, since it is an important and heritable trait associated with brain...
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Genetic architecture and key regulatory genes of fatty acid composition in Gushi chicken breast muscle determined by GWAS and WGCNA
BackgroundFatty acids composition in poultry muscle is directly related to its tenderness, flavour, and juiciness, whereas its genetic mechanisms...