User:Whuggins/sandbox

From Wikipedia, the free encyclopedia
The PhenX Toolkit
File:PhenX Toolkit Logo.jpg
PhenX: consensus measures for Phenotypes and eXposures
Screenshot
File:PhenX Toolkit Screenshot.jpg
Screenshot of the website as of August 2012.
Type of site
Content Site
Available inEnglish
OwnerNHGRI
Created byRTI International
URLwww.phenxtoolkit.org
Commercialno
RegistrationOptional
Users1200+ Registered, 100K+ visits from unique IP addresses
Launched6 February 2009 (2009-02-06)
Current statusActive
Content license
Public Domain

The PhenX Toolkit is a catalog of measures related to complex diseases, phenotypic traits and environmental exposures. These MEASURES WERE selected by working groups of experts using a consensus process. Use of PhenX measures facilitates combining data from a variety of studies, and makes it easy for investigators to expand a study design beyond the primary research focus. [1] [2] The Toolkit is funded by the National Human Genome Research Institute (NHGRI) with additional support from the Office of Behavioral and Social Sciences Research (OBSSR) and the National Institute on Drug Abuse (NIDA) of the National Institutes of Health (NIH). The measures are made available to the scientific community at no cost.

Objectives[edit]

For genome-wide association studies (GWAS) and other studies involving human subjects, the use of standard measures can facilitate cross-study analyses. [3] [4] Such analyses compare independent findings to validate results or combine studies to increase sample size and statistical power. This increased power makes it possible to identify more subtle and complex associations such as gene-gene and gene-environment interactions. [5] [6] [7] [8]

PhenX Measures[edit]

The Toolkit has a broad scope and currently provides assessments for 21 research domains.

The Toolkit also includes 7 collections of measures intended for Substance Abuse and Addiction (SAA) research.

  • Core Collection
    • Core: Tier 1
    • Core: Tier 2

The Toolkit[edit]

For each measure, the PhenX Toolkit provides a brief description, the protocol for measurement with supporting images and tables, the reasons for selecting the protocol, details about training and equipment, and selected references. Users can browse research domains, measures, or collections, search using a “Smart Search” or a full text search, collect measures of interest in “My Toolkit”, and request custom data dictionaries and custom data collection worksheets.

The Toolkit offers recommended measures that will facilitate downstream cross-study analyses. The Toolkit can be particularly helpful when an investigator wants to expand a study to include measures that are outside his or her primary area of expertise. Whereas study specific measures are needed to address the primary research goal, common measures are needed to increase the overall impact of the study; both types of measures are important to overall study design.

References[edit]

  1. ^ Hamilton, C. M., Strader, L. C., Pratt, J., Maiese, D., Hendershot, T., Kwok, R., Hammond, J., Huggins, W., Jackman, D., Pan, H., Nettles, D., Beaty, T., Farrer, L., Kraft, P., Marazita, M., Ordovas, J., Pato, C., Spitz, M., Wagener, D., Williams, M., Junkins, H., Harlan, W., Ramos, E. & Haines, J. (2011). "The PhenX Toolkit: Get the Most From Your Measures". American Journal of Epidemiology. 174 (3): 253–260. PMC 3141081. PMID 21749974.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  2. ^ Hendershot, T., Pan, H., Haines, J., Harlan, W., Junkins, H., Ramos, E., & Hamilton, C. M. (2011). "Using the PhenX Toolkit to Add Standard Measures to Your Study". Current Protocols in Human Genetics. 1 (21). PMID 21975939.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  3. ^ Pan, H., Tryka, K., Vreeman, D., Huggins, W., Phillips, M., Mehta, J., Phillips, J., McDonald, C., Junkins, H., Ramos, E. & Hamilton, C. M. (2012). "Using PhenX Measures to Identify Opportunities for Cross-Study Analysis". Human Mutation. 33 (5): 849–857. doi:10.1002/humu.22074.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  4. ^ Manolio, T.A. (2009). "Collaborative Genome-wide Association Studies of Diverse Diseases: Programs of the NHGRI's Office of Population Genomics". Pharmacogenomics. 10 (3): 235–241. doi:10.2217/14622416.10.2.235. PMC 2714942. PMID 19207024.
  5. ^ Barrett JC, Hansoul S, Nicolae DL; et al. (2008). "Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease". Nature Genetics. 40 (8): 955–962. doi:10.1038/ng.175. PMC 2574810. PMID 18587394. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  6. ^ Barrett JC, Clayton DG, Concannon P; et al. (2009). "Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes". Nature Genetics. 41 (6): 703–707. doi:10.1038/ng.381. PMC 2889014. PMID 19430480. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  7. ^ Cooper JD, Smyth DJ, Smiles AM; et al. (2008). "Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci". Nature Genetics. 40 (12): 1399–1401. doi:10.1038/ng.249. PMC 2635556. PMID 18978792. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  8. ^ Hunter, D.J. (2005). "Gene-environment Interactions in Human Diseases". Nature Reviews Genetics. 6 (4): 287–298. doi:10.1038/nrg1578. PMID 15803198.

Notes[edit]

PhenX News and Views provides a current comprehensive list of articles that cite or mention the system, as well as press releases and notices.


Category:Medical websites

Retrieved from "https://en.wikipedia.org/w/index.php?title=User:Whuggins/sandbox&oldid=925348599"