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Pharmacogenomics provides the community with an essential resource for keeping abreast of the latest developments in new pharmacogenomic initiatives, emerging technologies for accessing genomic information and the development of novel diagnostic products and strategies.

Publisher: Future Medicine

Volume 7, Number 3, April 2006
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Research Report

CACNA1C polymorphisms are associated with the efficacy of calcium channel blockers in the treatment of hypertension
pp. 271-279(9)
Authors: Bremer, Troy; Man, Albert; Kask, Kalev; Diamond, Cornelius

CACNA1C polymorphisms are associated with the efficacy of calcium channel blockers in the treatment of hypertension
pp. 271-279(9)
Authors: Bremer, Troy; Man, Albert; Kask, Kalev; Diamond, Cornelius

Gene expression profiling to monitor therapeutic and adverse effects of antisense therapies for Duchenne muscular dystrophy
pp. 281-297(17)
Authors: 't Hoen, Peter AC; van der Wees, Caroline GC; Aartsma-Rus, Annemieke; Turk, Rolf; Goyenvalle, Aurélie; Danos, Olivier; Garcia, Luis; van Ommen, Gert-Jan B; den Dunnen, Johan T; van Deutekom, Judith CT

Robust statistical methods for hit selection in RNA interference high-throughput screening experiments
pp. 299-309(11)
Authors: Douglas Zhang, Xiaohua; Yang, Xiting Cindy; Chung, Namjin; Gates, Adam; Stec, Erica; Kunapuli, Priya; J Holder, Dan; Ferrer, Marc; S Espeseth, Amy

Review

Visualizing gene determinants of disease in drug discovery
pp. 311-329(19)
Authors: Delrieu, Olivier; Bowman, Clive

Perspective

A public health approach to pharmacogenomics and gene-based diagnostic tests
pp. 331-337(7)
Authors: Davis, Robert L; Khoury, Muin J

Collaborative Study: chronic fatigue syndrome – Editorial

The postgenomic era and complex disease
pp. 341-343(3)
Author: Witkowski, J A

Collaborative Study: chronic fatigue syndrome – Introduction to the study

The challenge of integrating disparate high-content data: epidemiological, clinical and laboratory data collected during an in-hospital study of chronic fatigue syndrome
pp. 345-354(10)
Authors: Vernon, Suzanne D; Reeves, William C

Collaborative Study: chronic fatigue syndrome – Research Report

An empirical delineation of the heterogeneity of chronic unexplained fatigue in women
pp. 355-364(10)
Authors: Vollmer-Conna, Uté; Aslakson, Eric; White, Peter D

The validity of an empirical delineation of heterogeneity in chronic unexplained fatigue
pp. 365-373(9)
Authors: Aslakson, Eric; Vollmer-Conna, Uté; White, Peter D

Gene expression profile of empirically delineated classes of unexplained chronic fatigue
pp. 375-386(12)
Authors: Carmel, Liran; Efroni, Sol; White, Peter D; Aslakson, Eric; Vollmer-Conna, Ute; Rajeevan, Mangalathu S

Polymorphisms in genes regulating the HPA axis associated with empirically delineated classes of unexplained chronic fatigue
pp. 387-394(8)
Authors: Smith, Alicia K; White, Peter D; Aslakson, Eric; Vollmer-Conna, Ute; Rajeevan, Mangalathu S

Gene expression correlates of unexplained fatigue
pp. 395-405(11)
Authors: Whistler, Toni; Taylor, Renee; Craddock, R Cameron; Broderick, Gordon; Klimas, Nancy; Unger, Elizabeth R

Identifying illness parameters in fatiguing syndromes using classical projection methods
pp. 407-419(13)
Authors: Broderick, Gordon; Craddock, R Cameron; Whistler, Toni; Taylor, Renee; Klimas, Nancy; Unger, Elizabeth R

Exploration of statistical dependence between illness parameters using the entropy correlation coefficient
pp. 421-428(8)
Authors: Craddock, R Cameron; Taylor, Renee; Broderick, Gordon; Whistler, Toni; Klimas, Nancy; Unger, Elizabeth R

Gene expression profile exploration of a large dataset on chronic fatigue syndrome
pp. 429-440(12)
Authors: Fang, Hong; Xie, Qian; Boneva, Roumiana; Fostel, Jennifer; Perkins, Roger; Tong, Weida

Exploration of the gene expression correlates of chronic unexplained fatigue using factor analysis
pp. 441-454(14)
Authors: Fostel, Jennifer; Boneva, Roumiana; Lloyd, Andrew

Linear data mining the Wichita clinical matrix suggests sleep and allostatic load involvement in chronic fatigue syndrome
pp. 455-465(11)
Authors: Gurbaxani, Brian M; Jones, James F; Goertzel, Benjamin N; Maloney, Elizabeth M

Chronic fatigue syndrome and high allostatic load
pp. 467-473(7)
Authors: Maloney, Elizabeth M; Gurbaxani, Brian M; Jones, James F; de Souza Coelho, Lucio; Pennachin, Cassio; Goertzel, Benjamin N

Combinations of single nucleotide polymorphisms in neuroendocrine effector and receptor genes predict chronic fatigue syndrome
pp. 475-483(9)
Authors: Goertzel, Benjamin N; Pennachin, Cassio; de Souza Coelho, Lucio; Gurbaxani, Brian; Maloney, Elizabeth M; Jones, James F

Allostatic load is associated with symptoms in chronic fatigue syndrome patients
pp. 485-494(10)
Authors: Goertzel, Benjamin N; Pennachin, Cassio; de Souza Coelho, Lucio; Maloney, Elizabeth M; Jones, James F; Gurbaxani, Brian

Improved prediction of treatment response using microarrays and existing biological knowledge
pp. 495-501(7)
Authors: Lin, Simon M; Devakumar, Jyothi; Kibbe, Warren A

Collaborative Study: chronic fatigue syndrome – Review

Interpreter of maladies: redescription mining applied to biomedical data analysis
pp. 503-509(7)
Authors: Waltman, Peter; Pearlman, Alex; Mishra, Bud

Statistical challenges with gene expression studies
pp. 511-519(9)
Author: Shoemaker, Jennifer

Collaborative Study: chronic fatigue syndrome – Perspective

Clinical methodology and its implications for the study of therapeutic interventions for chronic fatigue syndrome: a commentary
pp. 521-528(8)
Author: Demitrack, Mark A

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