Works Published in 2008

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Displaying works 21 - 27 of 27 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2008 journal article

Genetic determinants of variable metabolism have little impact on the clinical use of leading antipsychotics in the CATIE study

GENETICS IN MEDICINE, 10(10), 720–729.

By: I. Grossman*, P. Sullivan*, N. Walley*, Y. Liu n, J. Dawson*, C. Gumbs*, A. Gaedigk*, J. Leeder* ...

author keywords: pharmacogenetics; CYP 450; drug metabolizing enzymes; antipsychotics; personalized medicine
MeSH headings : Adult; Antipsychotic Agents / adverse effects; Antipsychotic Agents / metabolism; Antipsychotic Agents / therapeutic use; Clinical Trials as Topic; Double-Blind Method; Female; Genetic Variation; Humans; Male; Middle Aged; Schizophrenia / drug therapy
TL;DR: There are no strong associations between common functional genetic variants in drug metabolizing enzymes and dosing, safety, or efficacy of leading antipsychotics, strongly suggesting merely modest effects on the use of these medicines in most patients in typical clinical settings. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2008 journal article

Genes related to apoptosis predict necrosis of the liver as a phenotype observed in rats exposed to a compendium of hepatotoxicants

BMC Genomics, 9.

By: L. Huang, A. Heinloth, Z. Zeng, R. Paules & P. Bushel

Source: NC State University Libraries
Added: August 6, 2018

2008 journal article

FMR1 CGG repeat length predicts motor dysfunction in premutation carriers

Neurology (Minneapolis, Minn.), 70(16), 1397–1402.

By: M. Leehey, E. Berry-Kravis, C. Goetz, L. Zhang, D. Hall, L. Li, C. Rice, R. Lara ...

Source: NC State University Libraries
Added: August 6, 2018

2008 journal article

From classical genetics to quantitative genetics to systems biology: Modeling epistasis

PLoS Genetics, 4(3).

Source: NC State University Libraries
Added: August 6, 2018

2008 journal article

X-LRT: A likelihood approach to estimate genetic risks and test association with X-linked markers using a case-parents design

GENETIC EPIDEMIOLOGY, 32(4), 370–380.

author keywords: sex linked; maximum-likelihood estimation; confidence interval; hypothesis test; family-based design
MeSH headings : Algorithms; Biometry; Computer Simulation; Confidence Intervals; Epidemiologic Methods; Female; Genes, X-Linked; Genetic Diseases, X-Linked / epidemiology; Genetic Diseases, X-Linked / genetics; Genetic Markers; Haplotypes; Humans; Likelihood Functions; Male; Models, Genetic; Monoamine Oxidase / genetics; Parents; Parkinson Disease / enzymology; Parkinson Disease / genetics; Penetrance; Risk Factors; Siblings
TL;DR: A likelihood approach to estimate disease‐related marker relative risks and test genotype association using a case‐parents design and shows how efficiency with missing parental information can be improved with additional sibling genotype information. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2008 journal article

Measuring and partitioning the high-order linkage disequilibrium by multiple order Markov chains

GENETIC EPIDEMIOLOGY, 32(4), 301–312.

author keywords: multilocus linkage disequilibrium; multiple order Markov chains; partition of multilocus LID
MeSH headings : Biometry; Databases, Genetic; Epidemiologic Methods; Gene Frequency; Haplotypes; Humans; Likelihood Functions; Linkage Disequilibrium; Markov Chains; Models, Genetic
TL;DR: Non‐homogeneous, multiple order Markov Chain models are employed as a statistical framework to measure and partition the LD among multiple markers into components due to different orders of marker associations and the results reveal that the most LD in the HapMap data is attributed to the LD between adjacent pairs of markers across the whole region. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2008 journal article

Comparison of approaches for machine-learning optimization of neural networks for detecting gene-gene interactions in genetic epidemiology

GENETIC EPIDEMIOLOGY, 32(4), 325–340.

author keywords: grammatical evolution neural networks; epistasis; genetic programming neural networks
MeSH headings : Artificial Intelligence; Data Interpretation, Statistical; Databases, Genetic; Epidemiologic Methods; Epistasis, Genetic; Genetic Predisposition to Disease; HIV Infections / epidemiology; HIV Infections / genetics; HIV Infections / immunology; Humans; Immunogenetics; Models, Genetic; Neural Networks, Computer; Pattern Recognition, Automated; Polymorphism, Single Nucleotide
TL;DR: This study provides a detailed technical description of the use of grammatical evolution to optimize neural networks (GENN) for use in genetic association studies and shows that GENN greatly outperforms genetic programming neural networks in data sets with a large number of single nucleotide polymorphisms. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

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