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Tytuł:
The groundnut improvement network for Africa (GINA) germplasm collection: a unique genetic resource for breeding and gene discovery.
Autorzy:
Conde S; ISRA, Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal.; UMR AGAP, CIRAD, 34398 Montpellier, France.; CIRAD, INRAE, AGAP, University Montpellier, Institut Agro, 34398 Montpellier, France.; F.S.T., Département de B.V., Université Cheikh Anta Diop, BP 5005 Dakar, Senegal.
Rami JF; UMR AGAP, CIRAD, 34398 Montpellier, France.; CIRAD, INRAE, AGAP, University Montpellier, Institut Agro, 34398 Montpellier, France.
Okello DK; National Semi-Arid Resources Research Institute-Serere, PO Box 56, Kampala, Uganda.
Sambou A; ISRA, Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal.
Muitia A; Mozambique Agricultural Research Institute (Instituto de Investigação Agrária de Moçambique), Northeast Zonal Centre, Nampula Research Station, PO Box 1922, Nampula, Mozambique.
Oteng-Frimpong R; Groundnut Improvement Program, Council for Scientific and Industrial Research (CSIR)-Savanna Agricultural Research Institute, PO Box 52, Tamale, Ghana.
Makweti L; Zambia Agriculture Research Institute (ZARI), PO Box 510089, Chipata, Zambia.
Sako D; Institut d'Economie Rurale (IER), Centre Régional de Recherche Agronomique (CRRA), BP 281 Kayes, Mali.
Faye I; ISRA, Institut Sénégalais de Recherches Agricoles, Centre National de Recherche Agronomique, BP 53 Bambey, Sénégal.
Chintu J; Chitedze Agricultural Research Service, PO Box 158, Lilongwe, Malawi.
Coulibaly AM; Institut National de Recherche Agronomique du Niger (INRAN), BP 240 Maradi, Niger.
Miningou A; INERA, CREAF, 01 BP 476 Ouagadougou 01, Burkina Faso.
Asibuo JY; Council for Scientific and Industrial Research-Crops Research Institute (CSIR-CRI), P.O. Box 3785, Kumasi, Ghana.
Konate M; INERA, DRREA-Ouest, 01 BP 910 Bobo Dioulasso 01, Burkina Faso.
Banla EM; Institut Togolais de Recherche Agronomique (ITRA), 13BP267 Lome, Togo.
Seye M; ISRA, Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal.
Djiboune YR; ISRA, Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal.
Tossim HA; ISRA, Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal.
Sylla SN; F.S.T., Département de B.V., Université Cheikh Anta Diop, BP 5005 Dakar, Senegal.
Hoisington D; Feed the Future Innovation Lab for Peanut, College of Agricultural and Environmental Sciences, University of Georgia, Athens, GA 30602, USA.
Clevenger J; HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA.
Chu Y; Institute of Plant Breeding Genetics and Genomics and Department of Horticulture, College of Agricultural and Environmental Sciences, University of Georgia, Tifton, GA 31793, USA.
Tallury S; Plant Genetic Resources Conservation Unit, Griffin, GA 30223, USA.
Ozias-Akins P; Institute of Plant Breeding Genetics and Genomics and Department of Horticulture, College of Agricultural and Environmental Sciences, University of Georgia, Tifton, GA 31793, USA.
Fonceka D; ISRA, Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal.; UMR AGAP, CIRAD, 34398 Montpellier, France.; CIRAD, INRAE, AGAP, University Montpellier, Institut Agro, 34398 Montpellier, France.
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2023 Dec 29; Vol. 14 (1).
Typ publikacji:
Journal Article
MeSH Terms:
Genetic Variation*
Plant Breeding*
Polymorphism, Single Nucleotide ; Arachis/genetics ; Africa ; Genetic Association Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Predicting miRNA-disease associations using an ensemble learning framework with resampling method.
Autorzy:
Dai Q; School of Computer Science and Engineering, Dalian Minzu University, 116600, Dalian, China.; SEAC Key Laboratory of Big Data Applied Technology, Dalian Minzu University, 116600, Dalian, China.
Wang Z; School of Computer Science and Engineering, Dalian Minzu University, 116600, Dalian, China.; SEAC Key Laboratory of Big Data Applied Technology, Dalian Minzu University, 116600, Dalian, China.
Liu Z; School of Computer Science and Engineering, Dalian Minzu University, 116600, Dalian, China.; SEAC Key Laboratory of Big Data Applied Technology, Dalian Minzu University, 116600, Dalian, China.
Duan X; SEAC Key Laboratory of Big Data Applied Technology, Dalian Minzu University, 116600, Dalian, China.
Song J; SEAC Key Laboratory of Big Data Applied Technology, Dalian Minzu University, 116600, Dalian, China.
Guo M; School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, 100044, Beijing, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2022 Jan 17; Vol. 23 (1).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Genetic Association Studies*
Machine Learning*
Disease/*genetics
MicroRNAs/*genetics
Algorithms ; Computational Biology ; Genetic Predisposition to Disease/genetics ; Humans
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Shall genomic correlation structure be considered in copy number variants detection?
Autorzy:
Qin F; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina (USC), Discovery 449, 915 Greene St, Columbia, SC 29208, USA.
Luo X; Department of Epidemiology and Biostatistics, Arnold School of Public Health, USC, Discovery 449, 915 Greene St, Columbia, SC 29208, USA.
Cai G; Department of Environmental Health Science, Arnold School of Public Health, USC, Discovery 449, 915 Greene St, Columbia, SC 29208, USA.
Xiao F; Department of Epidemiology and Biostatistics, Arnold School of Public Health, USC, Discovery 449, 915 Greene St, Columbia, SC 29208, USA.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2021 Nov 05; Vol. 22 (6).
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
DNA Copy Number Variations*
Genetic Association Studies*/methods
Genetic Predisposition to Disease*
Genetic Testing*/methods
Genomics/*methods
Algorithms ; Computational Biology/methods ; Humans ; Software ; Exome Sequencing ; Workflow
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Robust Huber-LASSO for improved prediction of protein, metabolite and gene expression levels relying on individual genotype data.
Autorzy:
Deutelmoser H; Statistical Genetics Research Group, Institute of Medical Biometry and Informatics, Heidelberg University, Germany.
Scherer D; Statistical Genetics Research Group, Institute of Medical Biometry and Informatics, Heidelberg University, Germany.
Brenner H; Division of Preventive Oncology and the Division of Clinical Epidemiology and Aging Research at the German Cancer Research Center, Heidelberg, Germany.
Waldenberger M; Research Unit Molecular Epidemiology and Institute of Epidemiology, Helmholtz Center Munich, Germany.
Suhre K; Weill Cornell Medicine and the Director of the Bioinformatics and Virtual Metabolomics Core at the Cornell campus in Doha, Qatar.
Kastenmüller G; Institute of Computational Biology, Helmholtz Center Munich, Germany.
Lorenzo Bermejo J; Statistical Genetics Research Group at the Institute of Medical Biometry and Informatics, Heidelberg University, Germany.
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Corporate Authors:
INTERVAL study
Źródło:
Briefings in bioinformatics [Brief Bioinform] 2021 Jul 20; Vol. 22 (4).
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Computer Simulation*
Databases, Nucleic Acid*
Gene Expression Regulation*
Genetic Association Studies*
Genotype*
Polymorphism, Single Nucleotide*
Humans
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes.
Autorzy:
Cao C; Department of Biochemistry & Molecular Biology, University of Calgary.
Kwok D; Department of Mathematics & Statistics, University of Calgary.
Edie S; Department of Biology, Queen's University.
Li Q; Department of Biochemistry & Molecular Biology, University of Calgary.
Ding B; Department of Mathematics & Statistics, University of Calgary.
Kossinna P; Department of Biochemistry & Molecular Biology, University of Calgary.
Campbell S; Heritage Youth Researcher Summer Program.
Wu J; Department of Mathematics & Statistics, University of Calgary.
Greenberg M; Department of Mathematics & Statistics, University of Calgary.
Long Q; Departments of Biochemistry & Molecular Biology, Medical Genetics and Mathematics & Statistics.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2021 Jul 20; Vol. 22 (4).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Computer Simulation*
Genetic Association Studies*
Genetic Variation*
Models, Genetic*
Software*
Transcriptome*
Genome-Wide Association Study ; Genotype ; Humans
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.
Autorzy:
Feldmann MJ; Department of Plant Sciences, University of California, Davis, 1 Shields Ave, Davis, CA 95616, USA.
Hardigan MA; Department of Plant Sciences, University of California, Davis, 1 Shields Ave, Davis, CA 95616, USA.
Famula RA; Department of Plant Sciences, University of California, Davis, 1 Shields Ave, Davis, CA 95616, USA.
López CM; Department of Plant Sciences, University of California, Davis, 1 Shields Ave, Davis, CA 95616, USA.
Tabb A; USDA-ARS-AFRS, 2217 Wiltshire Rd, Kearneysville, WV 25430, USA.
Cole GS; Department of Plant Sciences, University of California, Davis, 1 Shields Ave, Davis, CA 95616, USA.
Knapp SJ; Department of Plant Sciences, University of California, Davis, 1 Shields Ave, Davis, CA 95616, USA.
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Źródło:
GigaScience [Gigascience] 2020 May 01; Vol. 9 (5).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Genetic Association Studies*/methods
Machine Learning*
Phenotype*
Fragaria/*genetics
Fruit/*genetics
Algorithms ; Inheritance Patterns ; Models, Theoretical
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach.
Autorzy:
Yang H; Department of Computer Science and Engineering, East China University of Science and Technology, 200237 Shanghai, PR China.
Gan L; Department of Computer Science and Engineering, East China University of Science and Technology, 200237 Shanghai, PR China.
Chen R; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.
Li D; Department of Computer Science and Engineering, East China University of Science and Technology, 200237 Shanghai, PR China.
Zhang J; Department of Computer Science and Engineering, East China University of Science and Technology, 200237 Shanghai, PR China.
Wang Z; Department of Computer Science and Engineering, East China University of Science and Technology, 200237 Shanghai, PR China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Jan 19; Vol. 24 (1).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Genomics*/methods
Neoplasms*/drug therapy
Neoplasms*/genetics
Humans ; Multiomics ; DNA Copy Number Variations ; Machine Learning ; Genetic Association Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
From SNP to pathway-based GWAS meta-analysis: do current meta-analysis approaches resolve power and replication in genetic association studies?
Autorzy:
Defo J; Division of Human Genetics, Department of Pathology, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, 7925, Observatory, South Africa.; South African Medical Research Council Genomic and Personalized Medicine Research Unit.
Awany D; South African Tuberculosis Vaccine Initiative (SATVI), University of Cape Town, 7925, South Africa.
Ramesar R; Division of Human Genetics, Department of Pathology, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, 7925, Observatory, South Africa.; South African Medical Research Council Genomic and Personalized Medicine Research Unit.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Jan 19; Vol. 24 (1).
Typ publikacji:
Review; Meta-Analysis; Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Genome-Wide Association Study*/methods
Polymorphism, Single Nucleotide*
Humans ; Genetic Association Studies ; Multifactorial Inheritance
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat.
Autorzy:
Wang X; Department of Plant Pathology, Kansas State University, 4024 Throckmorton PSC, 1712 Claflin Road, Manhattan, KS 66506, USA.
Xuan H; Department of Computer Science, George Washington University, 4000 Science and Engineering Hall, 800 22nd Street NW, Washington, DC 20052, USA.
Evers B; Department of Plant Pathology, Kansas State University, 4024 Throckmorton PSC, 1712 Claflin Road, Manhattan, KS 66506, USA.
Shrestha S; Department of Plant Pathology, Kansas State University, 4024 Throckmorton PSC, 1712 Claflin Road, Manhattan, KS 66506, USA.
Pless R; Department of Computer Science, George Washington University, 4000 Science and Engineering Hall, 800 22nd Street NW, Washington, DC 20052, USA.
Poland J; Department of Plant Pathology, Kansas State University, 4024 Throckmorton PSC, 1712 Claflin Road, Manhattan, KS 66506, USA.
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Źródło:
GigaScience [Gigascience] 2019 Nov 01; Vol. 8 (11).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Databases, Nucleic Acid*
Deep Learning*
Flowers*/genetics
Flowers*/metabolism
Gene Expression Regulation, Plant*
Genetic Association Studies*
Genotype*
Triticum*/genetics
Triticum*/metabolism
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Molecular Dissection of Quantitative Variation in Bermudagrass Hybrids ( Cynodon dactylon x transvaalensis ): Morphological Traits.
Autorzy:
Khanal S; Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30606.
Dunne JC; Crop Science Department, North Carolina State University, Raleigh, NC 27695.
Schwartz BM; Department of Crop and Soil Sciences, University of Georgia, Tifton, GA 31794, and.
Kim C; Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30606.
Milla-Lewis S; Crop Science Department, North Carolina State University, Raleigh, NC 27695.
Raymer PL; Department of Crop and Soil Sciences, University of Georgia, Griffin, GA 30224.
Hanna WW; Department of Crop and Soil Sciences, University of Georgia, Tifton, GA 31794, and.
Adhikari J; Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30606.
Auckland SA; Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30606.
Rainville L; Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30606.
Paterson AH; Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30606, .
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2019 Aug 08; Vol. 9 (8), pp. 2581-2596. Date of Electronic Publication: 2019 Aug 08.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Genetic Association Studies*/methods
Quantitative Trait Loci*
Quantitative Trait, Heritable*
Cynodon/*anatomy & histology
Cynodon/*genetics
Chromosome Mapping ; Genetic Linkage ; Phenotype
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
A Powerful Method To Test Associations Between Ordinal Traits and Genotypes.
Autorzy:
Wang J; LSC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China.; University of Chinese Academy of Sciences, Beijing, 100049, China.
Ding J; School of Mathematics and Statistics, Guangxi Normal University, Guilin, 541004, China.
Huang S; School of Mathematics and Statistics, Hubei Normal University, Huangshi, 435002, China.
Li Q; LSC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China, .
Pan D; Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming, 650500, China, and .; Department of Biostatistics, School of Public Health, Yale University, New Haven, CT 06511.
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2019 Aug 08; Vol. 9 (8), pp. 2573-2579. Date of Electronic Publication: 2019 Aug 08.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Genetic Association Studies*/methods
Genotype*
Models, Genetic*
Phenotype*
Algorithms ; Autoantibodies/immunology ; Disease Susceptibility ; Humans ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; Quantitative Trait, Heritable
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Genomic Bayesian Confirmatory Factor Analysis and Bayesian Network To Characterize a Wide Spectrum of Rice Phenotypes.
Autorzy:
Yu H; Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061.
Campbell MT; Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061.; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583.
Zhang Q; Department of Statistics, University of Nebraska-Lincoln, Lincoln, NE 68583.
Walia H; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583.
Morota G; Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 .
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2019 Jun 05; Vol. 9 (6), pp. 1975-1986. Date of Electronic Publication: 2019 Jun 05.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Bayes Theorem*
Genetic Association Studies*
Genome, Plant*
Genomics*/methods
Phenotype*
Oryza/*genetics
Algorithms ; Factor Analysis, Statistical ; Models, Theoretical
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes.
Autorzy:
Montesinos-López OA; Facultad de Telemática.
Martín-Vallejo J; Departamento de Estadística, Universidad de Salamanca, c/Espejo 2, Salamanca, 37007, España.
Crossa J; International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Ciudad de México, México _.
Gianola D; Departments of Animal Sciences, Dairy Science, and Biostatistics and Medical Informatics, University of Wisconsin-Madison, Wisconsin 53706.
Hernández-Suárez CM; Facultad de Ciencias, Universidad de Colima, Colima, 28040, México.
Montesinos-López A; Departamento de Matemáticas, Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, 44430, Jalisco, México _.
Juliana P; International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Ciudad de México, México.
Singh R; International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Ciudad de México, México.
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2019 May 07; Vol. 9 (5), pp. 1545-1556. Date of Electronic Publication: 2019 May 07.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
Genetic Association Studies*
Genome*
Genomics*/methods
Models, Genetic*
Phenotype*
Quantitative Trait, Heritable*
Algorithms ; Genome, Plant ; Genotype ; Plant Breeding ; Reproducibility of Results ; Selection, Genetic
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
MicroRNAs and complex diseases: from experimental results to computational models.
Autorzy:
Chen X; School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China.
Xie D; School of Mathematics, Liaoning University.
Zhao Q; School of Mathematics, Liaoning University.
You ZH; Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Science.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2019 Mar 22; Vol. 20 (2), pp. 515-539.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Review
MeSH Terms:
Genetic Association Studies*
Genetic Predisposition to Disease*
Biomarkers, Tumor/*genetics
Computational Biology/*methods
MicroRNAs/*genetics
Neoplasms/*genetics
RNA, Messenger/*metabolism
Humans ; MicroRNAs/metabolism ; RNA, Messenger/genetics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Extensions of BLUP Models for Genomic Prediction in Heterogeneous Populations: Application in a Diverse Switchgrass Sample.
Autorzy:
Ramstein GP; Department of Agronomy, University of Wisconsin-Madison, Madison, WI 53706 .
Casler MD; Department of Agronomy, University of Wisconsin-Madison, Madison, WI 53706.; Agricultural Research Service, United States Department of Agriculture, Madison, WI 53706.
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2019 Mar 07; Vol. 9 (3), pp. 789-805. Date of Electronic Publication: 2019 Mar 07.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Genetic Association Studies*
Models, Genetic*
Polymorphism, Single Nucleotide*
Genetics, Population/*methods
Panicum/*genetics
Genome, Plant ; Genomics/methods ; Plant Breeding
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
A Novel Mutation in Brain Tumor Causes Both Neural Over-Proliferation and Neurodegeneration in Adult Drosophila .
Autorzy:
Loewen C; Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706.
Boekhoff-Falk G; Department of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705 .
Ganetzky B; Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706.
Chtarbanova S; Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706 .; Department of Biological Sciences, University of Alabama, Tuscaloosa, AL 35487.
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2018 Oct 03; Vol. 8 (10), pp. 3331-3346. Date of Electronic Publication: 2018 Oct 03.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Genetic Association Studies*
Genetic Predisposition to Disease*
Mutation*
Brain Neoplasms/*genetics
Drosophila/*genetics
Drosophila Proteins/*genetics
Neurodegenerative Diseases/*genetics
Animals ; Biomarkers ; Brain/metabolism ; Brain/pathology ; Brain Neoplasms/metabolism ; Brain Neoplasms/pathology ; Cell Differentiation/genetics ; Cell Proliferation ; Disease Progression ; Drosophila Proteins/chemistry ; Gene Expression ; Immunohistochemistry ; Neurodegenerative Diseases/metabolism ; Neurodegenerative Diseases/pathology ; Neuroglia/cytology ; Neuroglia/metabolism ; Neurons/cytology ; Neurons/metabolism ; Phenotype ; Protein Domains
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Imputation-Aware Tag SNP Selection To Improve Power for Large-Scale, Multi-ethnic Association Studies.
Autorzy:
Wojcik GL; Department of Genetics, Stanford University School of Medicine, 365 Lasuen Street, Littlefield Center MC2069, Stanford, CA 94305.
Fuchsberger C; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109.; Center for Biomedicine, European Academy of Bolzano/Bozen (EURAC), affiliated with the University of Lübeck, Bolzano, Bozen, 39100, Italy.
Taliun D; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109.
Welch R; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109.
Martin AR; Department of Genetics, Stanford University School of Medicine, 365 Lasuen Street, Littlefield Center MC2069, Stanford, CA 94305.
Shringarpure S; Department of Genetics, Stanford University School of Medicine, 365 Lasuen Street, Littlefield Center MC2069, Stanford, CA 94305.
Carlson CS; Fred Hutchinson Cancer Center, University of Washington, 1100 Fairview Ave. N., Seattle, WA 98109.
Abecasis G; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109.
Kang HM; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109.
Boehnke M; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109.
Bustamante CD; Department of Genetics, Stanford University School of Medicine, 365 Lasuen Street, Littlefield Center MC2069, Stanford, CA 94305.; Department of Biomedical Data Science, Stanford University School of Medicine, 365 Lasuen Street, Littlefield Center MC2069, Stanford, CA 94305.
Gignoux CR; Department of Genetics, Stanford University School of Medicine, 365 Lasuen Street, Littlefield Center MC2069, Stanford, CA 94305 .
Kenny EE; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029 .; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029.; The Icahn Institute of Multiscale Biology and Genomics, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029.; The Center for Statistical Genetics, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029.
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2018 Oct 03; Vol. 8 (10), pp. 3255-3267. Date of Electronic Publication: 2018 Oct 03.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Genetic Association Studies*
Genetics, Population*
Polymorphism, Single Nucleotide*
Selection, Genetic*
Ethnicity/*genetics
Computational Biology/methods ; Databases, Nucleic Acid ; Genome-Wide Association Study ; Humans ; Linkage Disequilibrium ; Models, Genetic ; Reproducibility of Results
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Defects in the Neuroendocrine Axis Contribute to Global Development Delay in a Drosophila Model of NGLY1 Deficiency.
Autorzy:
Rodriguez TP; Perlara PBC, 6000 Shoreline Court, Suite 204, South San Francisco, California 94080.
Mast JD; Perlara PBC, 6000 Shoreline Court, Suite 204, South San Francisco, California 94080 .
Hartl T; Perlara PBC, 6000 Shoreline Court, Suite 204, South San Francisco, California 94080.
Lee T; Perlara PBC, 6000 Shoreline Court, Suite 204, South San Francisco, California 94080.
Sand P; Perlara PBC, 6000 Shoreline Court, Suite 204, South San Francisco, California 94080.
Perlstein EO; Perlara PBC, 6000 Shoreline Court, Suite 204, South San Francisco, California 94080.
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2018 Jul 02; Vol. 8 (7), pp. 2193-2204. Date of Electronic Publication: 2018 Jul 02.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Genetic Association Studies*
Congenital Disorders of Glycosylation/*genetics
Drosophila/*genetics
Neurodevelopmental Disorders/*genetics
Peptide-N4-(N-acetyl-beta-glucosaminyl) Asparagine Amidase/*deficiency
Alleles ; Animals ; Animals, Genetically Modified ; Congenital Disorders of Glycosylation/metabolism ; Disease Models, Animal ; Drosophila/metabolism ; Female ; Genes, Lethal ; Genotype ; Humans ; Larva ; Mutation ; Neurodevelopmental Disorders/metabolism ; Peptide-N4-(N-acetyl-beta-glucosaminyl) Asparagine Amidase/genetics ; Peptide-N4-(N-acetyl-beta-glucosaminyl) Asparagine Amidase/metabolism ; Phenotype ; Proteasome Endopeptidase Complex/genetics ; Proteasome Endopeptidase Complex/metabolism ; Proteasome Inhibitors/pharmacology
SCR Disease Name:
NGLY1 deficiency
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Functional Validation of Candidate Genes Detected by Genomic Feature Models.
Autorzy:
Rohde PD; Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark .; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, 8000 Aarhus, Denmark.; Center for Integrative Sequencing, Aarhus University, 8000 Aarhus, Denmark.
Østergaard S; Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark.
Kristensen TN; Section for Genetics, Ecology and Evolution, Department of Bioscience, Aarhus University, 8000 Aarhus, Denmark.; Section for Biology and Environmental Science, Department of Chemistry and Bioscience, Aalborg University, 9220 Aalborg, Denmark.
Sørensen P; Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark.
Loeschcke V; Section for Genetics, Ecology and Evolution, Department of Bioscience, Aarhus University, 8000 Aarhus, Denmark.
Mackay TFC; Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695.; Program in Genetics, North Carolina State University, Raleigh, North Carolina 27695.; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, North Carolina 27695.
Sarup P; Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark.
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2018 May 04; Vol. 8 (5), pp. 1659-1668. Date of Electronic Publication: 2018 May 04.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Genes, Insect*
Genetic Association Studies*
Genomics*
Models, Genetic*
Drosophila melanogaster/*genetics
Animals ; Gene Expression Regulation ; Gene Ontology ; Male ; Motor Activity/genetics ; Reproducibility of Results
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Genome-wide association study identifies SNP markers and putative candidate genes for terpene traits important for Leptocybe invasa resistance in Eucalyptus grandis.
Autorzy:
Mhoswa L; Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria 0028, South Africa.
Myburg AA; Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria 0028, South Africa.
Slippers B; Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria 0028, South Africa.
Külheim C; College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI 49931-1295, USA.
Naidoo S; Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria 0028, South Africa.
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Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2022 Apr 04; Vol. 12 (4).
Typ publikacji:
Journal Article
MeSH Terms:
Eucalyptus*/chemistry
Eucalyptus*/genetics
Hymenoptera*
Terpenes*/chemistry
Animals ; Genetic Association Studies ; Polymorphism, Single Nucleotide
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Wyświetlanie 1-20 z 229

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