Works (6)

Updated: July 5th, 2023 15:47

2018 journal article

FSEM: Functional Structural Equation Models for Twin Functional Data

Journal of the American Statistical Association, 114(525), 344–357.

By: S. Luo n, R. Song n, M. Styner*, J. Gilmore* & H. Zhu*

author keywords: Covariance function; Genetic and environmental effects; Weighted likelihood ratio test
TL;DR: A novel class of functional structural equation models (FSEMs) for dissecting functional genetic and environmental effects on twin functional data, while characterizing the varying association between functional data and covariates of interest are developed. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, Crossref
Added: July 1, 2019

2012 journal article

Cerebrospinal fluid metabolome in mood disorders-remission state has a unique metabolic profile

Scientific Reports, 2.

By: R. Kaddurah-Daouk, P. Yuan, S. Boyle, W. Matson, Z. Wang, Z. Zeng, H. Zhu, G. Dougherty ...

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

2012 journal article

Impaired plasmalogens in patients with schizophrenia

Psychiatry Research, 198(3), 347–352.

By: R. Kaddurah-Daouk, J. McEvoy, R. Baillie, H. Zhu, J. Yao, V. Nimgaonkar, P. Buckley, M. Keshavan, A. Georgiades, H. Nasrallah

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

2012 journal article

Merging pharmacometabolomics with pharmacogenomics using ‘1000 Genomes’ single-nucleotide polymorphism imputation

Pharmacogenetics and Genomics, 22(4), 247–253.

author keywords: 1000 Genomes; HapMap; imputation; major depressive disorder; pharmacometabolomics; pharmacogenomics; selective serotonin reuptake inhibitors; tag single-nucleotide polymorphisms
MeSH headings : Citalopram / adverse effects; Citalopram / therapeutic use; Depressive Disorder / drug therapy; Depressive Disorder / genetics; Genome-Wide Association Study / methods; Glycine / biosynthesis; Glycine / genetics; Glycine / metabolism; Glycine Dehydrogenase / genetics; HapMap Project; Haplotypes; Humans; Metabolic Networks and Pathways / genetics; Metabolomics; Pharmacogenetics; Polymorphism, Single Nucleotide / genetics; Selective Serotonin Reuptake Inhibitors / metabolism
TL;DR: The results indicate that the use of GWAS data to impute SNPs for genes in pathways identified by other ‘omics’ approaches makes it possible to rapidly and cost efficiently identify SNP markers to ‘broaden’ and accelerate pharmacogenomic studies. (via Semantic Scholar)
Sources: Web Of Science, Crossref
Added: August 6, 2018

2011 journal article

Biological pathway selection through nonlinear dimension reduction

BIOSTATISTICS, 12(3), 429–444.

By: H. Zhu n & L. Li n

author keywords: Dimension reduction; Generalized additive model; Kernel methods; Pathway selection; Sliced inverse regression
MeSH headings : Computational Biology / methods; Computer Simulation; Data Interpretation, Statistical; Gene Expression Profiling / methods; Glioblastoma / genetics; Humans; Models, Genetic; Models, Statistical; Oligonucleotide Array Sequence Analysis / methods; Principal Component Analysis
TL;DR: This article proposes a 2-step procedure for identifying pathways that are related to and influence the clinical phenotype, and proposes a nonlinear dimension reduction method, which permits flexible within-pathway gene interactions as well as nonlinear pathway effects on the response. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

Enteric Microbiome Metabolites Correlate with Response to Simvastatin Treatment

PLOS ONE, 6(10).

By: R. Kaddurah-Daouk*, R. Baillie*, H. Zhu n, Z. Zeng n, M. Wiest*, U. Nguyen*, K. Wojnoonski, S. Watkins*, M. Trupp*, R. Krauss

MeSH headings : Bile Acids and Salts / metabolism; Cholesterol, LDL / blood; Demography; Female; Gastrointestinal Tract / drug effects; Gastrointestinal Tract / metabolism; Gastrointestinal Tract / microbiology; Humans; Liver-Specific Organic Anion Transporter 1; Male; Metabolomics; Metagenome / drug effects; Middle Aged; Models, Biological; Organic Anion Transporters / genetics; Pharmacogenetics; Polymorphism, Single Nucleotide / genetics; Simvastatin / pharmacology; Treatment Outcome
TL;DR: Interactions between genome, gut microbiome and environmental influences should be considered in the study and management of cardiovascular disease and metabolic profiles could provide valuable information about treatment outcomes and could contribute to a more personalized approach to therapy. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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