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Academic Journal

Phenotype-Genotype Correlation Applying a Cocktail Approach and an Exome Chip Analysis Reveals Further Variants Contributing to Variation of Drug Metabolism.

  • Authors : Böhm R; Institute of Experimental and Clinical Pharmacology, University Hospital Schleswig-Holstein, Kiel, Germany.; Bruckmueller H

Subjects: Phenotype* ; Polymorphism, Single Nucleotide* ; Genotype*

  • Source: Clinical pharmacology and therapeutics [Clin Pharmacol Ther] 2024 Jul; Vol. 116 (1), pp. 204-216. Date of Electronic Publication: 2024 Apr 18.Publisher: Wiley Country of Publication: United States NLM ID: 0372741 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Variance-components tests for genetic association with multiple interval-censored outcomes.

  • Authors : Choi J; Department of Statistics, Rice University, Houston, Texas, USA.; Xu Z

Subjects: Computer Simulation*; Humans ; Genetic Association Studies/Genetic Association Studies/Genetic Association Studies/methods

  • Source: Statistics in medicine [Stat Med] 2024 Jun 15; Vol. 43 (13), pp. 2560-2574. Date of Electronic Publication: 2024 Apr 18.Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

The Role of Pharmacogenetics in Smoking.

  • Authors : El-Boraie A; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.

Subjects: Smoking/Smoking/Smoking/*drug therapy ; Smoking/Smoking/Smoking/*genetics; Animals

  • Source: Clinical pharmacology and therapeutics [Clin Pharmacol Ther] 2021 Sep; Vol. 110 (3), pp. 599-606. Date of Electronic Publication: 2021 Jul 17.Publisher: Wiley Country of Publication: United States NLM ID: 0372741 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Super-variants identification for brain connectivity.

  • Authors : Li T; Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.; Hu J

Subjects: Brain*/Brain*/Brain*/anatomy & histology ; Brain*/Brain*/Brain*/diagnostic imaging ; Brain*/Brain*/Brain*/physiology

  • Source: Human brain mapping [Hum Brain Mapp] 2021 Apr 01; Vol. 42 (5), pp. 1304-1312. Date of Electronic Publication: 2020 Nov 24.Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Exploiting gene-environment independence in haplotype-based inferences for population-based case-control studies with complex sampling.

  • Authors : Wang L; The Joint Program in Survey Methodology, University of Maryland, College Park, Maryland.; Lin D

Subjects: Gene-Environment Interaction* ; Regression Analysis*; Genetic Association Studies/Genetic Association Studies/Genetic Association Studies/*methods

  • Source: Statistics in medicine [Stat Med] 2020 Jan 15; Vol. 39 (1), pp. 57-69. Date of Electronic Publication: 2019 Nov 20.Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Detection of candidate polymorphisms around the QTL for fat area ratio to rib eye area on BTA7 using whole-genome resequencing in Japanese Black cattle.

  • Authors : Sasazaki S; Laboratory of Animal Breeding and Genetics, Graduate School of Agricultural Science, Kobe University, Kobe, Japan.; Kawaguchi F

Subjects: Polymorphism, Single Nucleotide*; Cattle/Cattle/Cattle/*genetics ; Quantitative Trait Loci/Quantitative Trait Loci/Quantitative Trait Loci/*genetics

  • Source: Animal science journal = Nihon chikusan Gakkaiho [Anim Sci J] 2020 Jan-Dec; Vol. 91 (1), pp. e13335.Publisher: Wiley Country of Publication: Australia NLM ID: 100956805 Publication Model: Print Cited Medium: Internet

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Academic Journal

Whole-genome resequencing to identify candidate genes for the QTL for oleic acid percentage in Japanese Black cattle.

  • Authors : Kawaguchi F; Laboratory of Animal Breeding and Genetics, Graduate School of Agricultural Science, Kobe University, Kobe, Japan.; Kigoshi H

Subjects: Genome-Wide Association Study*; Cattle/Cattle/Cattle/*genetics ; Cattle/Cattle/Cattle/*metabolism

  • Source: Animal science journal = Nihon chikusan Gakkaiho [Anim Sci J] 2019 Apr; Vol. 90 (4), pp. 467-472. Date of Electronic Publication: 2019 Feb 19.Publisher: Wiley Country of Publication: Australia NLM ID: 100956805 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

A powerful and data-adaptive test for rare-variant-based gene-environment interaction analysis.

  • Authors : Yang T; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas.

Subjects: Confounding Factors, Epidemiologic* ; Gene-Environment Interaction*; Genetic Association Studies/Genetic Association Studies/Genetic Association Studies/*methods

  • Source: Statistics in medicine [Stat Med] 2019 Mar 30; Vol. 38 (7), pp. 1230-1244. Date of Electronic Publication: 2018 Nov 20.Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Clinical, biochemical, and molecular overview of transaldolase deficiency and evaluation of the endocrine function: Update of 34 patients.

  • Authors : Williams M; Metabolic Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.; Valayannopoulos V

Subjects: Carbohydrate Metabolism, Inborn Errors/Carbohydrate Metabolism, Inborn Errors/Carbohydrate Metabolism, Inborn Errors/*genetics ; Carbohydrate Metabolism, Inborn Errors/Carbohydrate Metabolism, Inborn Errors/Carbohydrate Metabolism, Inborn Errors/*metabolism ; Endocrine Cells/Endocrine Cells/Endocrine Cells/*metabolism Transaldolase Deficiency

  • Source: Journal of inherited metabolic disease [J Inherit Metab Dis] 2019 Jan; Vol. 42 (1), pp. 147-158.Publisher: Wiley Country of Publication: United States NLM ID: 7910918 Publication Model: Print Cited Medium: Internet

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Academic Journal

Powerful extreme phenotype sampling designs and score tests for genetic association studies.

  • Authors : Bjørnland T; Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway.; Bye A

Subjects: Genetic Association Studies*/Genetic Association Studies*/Genetic Association Studies*/methods ; Phenotype* ; Sampling Studies*

  • Source: Statistics in medicine [Stat Med] 2018 Dec 10; Vol. 37 (28), pp. 4234-4251. Date of Electronic Publication: 2018 Aug 07.Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium:

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  • 1-10 of  31 results for ""Genetic Association Studies methods""