Search Results

Genomic analysis of fruit size and shape traits in apple: unveiling candidate genes through GWAS analysis

• Authors : Ministerio de Ciencia, Innovación y Universidades (España); Agencia Estatal de Investigación (España); Ministerio de Ciencia e Innovación (España)

Subjects: artículo

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Single‐Cell Integration of BMD GWAS Results Prioritize Candidate Genes Influencing Age‐Related Bone Loss

• Authors : Madison L. Doolittle; Sundeep Khosla; Dominik Saul

Subjects: AGING; BONE; GWAS

• Source: JBMR Plus, Vol 7, Iss 10, Pp n/a-n/a (2023)

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sc2GWAS: a comprehensive platform linking single cell and GWAS traits of human.

• Authors : Yin M; The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.; Insititute of Biochemistry and Molecular Biology, Hengyang Medical College, University of South China, Hengyang, Hunan 421001, China.

Subjects: Genome-Wide Association Study* ; Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Software*

• Source: Nucleic acids research [Nucleic Acids Res] 2025 Jan 06; Vol. 53 (D1), pp. D1151-D1161.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversity.

• Authors : Cerezo M; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.; Sollis E

Subjects: Genome-Wide Association Study*/Genome-Wide Association Study*/Genome-Wide Association Study*/standards ; Databases, Genetic*; Humans

• Source: Nucleic acids research [Nucleic Acids Res] 2025 Jan 06; Vol. 53 (D1), pp. D998-D1005.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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GWAS of genetic factors affecting white blood cell morphological parameters in Sardinians uncovers influence of chromosome 11 innate immunity gene cluster on eosinophil morphology

• Authors : Agencia Estatal de Investigación (España); European Commission; Junta de Andalucía

Subjects: GWAS; eosinophil; Sardinians

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ZMIX: estimating ancestry proportions using GWAS association Z-scores.

• Authors : Dennis T; Department of Statistics, Miami University, Oxford, OH 45056, United States.; Winton Hill Business Center, P&G, Cincinnati, OH 45232, United States.

• Source: Bioinformatics advances [Bioinform Adv] 2024 Aug 29; Vol. 4 (1), pp. vbae128. Date of Electronic Publication: 2024 Aug 29 (Print Publication: 2024).Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection

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GWAS supported by computer vision identifies large numbers of candidate regulators of in planta regeneration in Populus trichocarpa.

• Authors : Nagle MF; Department of Forest Ecosystems and Society, Oregon State University, 321 Richardson Hall, Corvallis, OR 97311, USA.; Yuan J

Subjects: Genome-Wide Association Study* ; Populus*/Populus*/Populus*/genetics; Genes, Plant

• Source: G3 (Bethesda, Md.) [G3 (Bethesda)] 2024 Apr 03; Vol. 14 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 101566598 Publication Model: Print Cited Medium:

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A Phylogeny-aware GWAS Framework to Correct for Heritable Pathogen Effects on Infectious Disease Traits

• Authors : Nadeau, Sarah; https://orcid.org/0000-0003-1008-8918; Thorball, Christian W

Subjects: Institute of Medical Virology; Clinic for Infectious Diseases; 570 Life sciences

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ezQTL: A Web Platform for Interactive Visualization and Colocalization of QTLs and GWAS Loci

• Authors : Tongwu Zhang; Alyssa Klein; Jian Sang

Subjects: Genome-wide association study; Expression quantitative trait locus; Colocalization

• Source: Genomics, Proteomics & Bioinformatics, Vol 20, Iss 3, Pp 541-548 (2022)

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RicePilaf: a post-GWAS/QTL dashboard to integrate pangenomic, coexpression, regulatory, epigenomic, ontology, pathway, and text-mining information to provide functional insights into rice QTLs and GWAS loci.

• Authors : Shrestha AMS; Bioinformatics Lab, Advanced Research Institute for Informatics, Computing and Networking, College of Computer Studies, De La Salle University, Manila 1004, Philippines.; International Rice Research Institute (IRRI), Metro Manila 1301, Philippines.

Subjects: Oryza*/Oryza*/Oryza*/genetics ; Quantitative Trait Loci* ; Genome-Wide Association Study*

• Source: GigaScience [Gigascience] 2024 Jan 02; Vol. 13.Publisher: Oxford University Press Country of Publication: United States NLM ID: 101596872 Publication Model: Print Cited

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