| Guideline for data analysis of genomewide association studies. | |
| | |
MedLine Citation:
|
PMID: 17726238 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
Intensive efforts have been underway to identify common genetic factors that influence health and disease including cancer using genomewide association studies (GWAS). Our experiences have shown that while it is more advantageous to have large detailed data sets, the amount of information generated by GWAS also present major challenges for statistical analyses. While prospects for the oncoming flood of GWAS is exciting, the tools for conducting and evaluating these studies are still in early developmental stages creating some investigator uncertainty and prompting conferences and workshops specifically devoted to these topics. In this review, we summarize important steps for planning the statistical analysis involving genome-wide data from single nucleotide polymorphisms (SNPs). This review is purposely meant to be relatively short and of practical use for the space constraints of typical federal grant proposals. |
| | |
Authors:
|
Heping Zhang; Lei Liu; Xueqin Wang; Jeffrey R Gruen |
Related Documents
:
|
10165748 - Pursuing justice in an era of managed care. seattle-based system makes room for the und... 10981188 - Differences in managed care drug formularies: what can consumers learn? 12532968 - Who do you trust? americans' perspectives on health care, 1997-2001. 15910648 - A critical analysis of earthquakes and urban planning in turkey. 18251458 - Rural net migration of canada's rehabilitative and technical health care workers. 22547668 - Wicked problems and worthy pursuits: resolving to meet aha 2020 impact goals. |
Publication Detail:
|
Type: Journal Article; Research Support, N.I.H., Extramural; Review |
Journal Detail:
|
Title: Cancer genomics & proteomics Volume: 4 ISSN: 1109-6535 ISO Abbreviation: Cancer Genomics Proteomics Publication Date: 2007 Jan-Feb |
Date Detail:
|
Created Date: 2007-08-29 Completed Date: 2007-10-04 Revised Date: 2012-01-18 |
Medline Journal Info:
|
Nlm Unique ID: 101188791 Medline TA: Cancer Genomics Proteomics Country: Greece |
Other Details:
|
Languages: eng Pagination: 27-34 Citation Subset: IM |
Affiliation:
|
Yale University School of Medicine, New Haven, CT 06520-8034, USA. Heping.Zhang@Yale.EDU |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Genetic Predisposition to Disease
/
genetics* Genome, Human / genetics* Guidelines as Topic* Humans Population Dynamics Quality Control Sample Size |
| Grant Support | |
ID/Acronym/Agency:
|
K02DA017713/DA/NIDA NIH HHS; R01DA016750/DA/NIDA NIH HHS; R01DA12844/DA/NIDA NIH HHS; T32MH014235/MH/NIMH NIH HHS; U01HD050062/HD/NICHD NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Telomerase: a crucial player in HTLV-I-induced human T-cell leukemia.
Next Document: Low concentrations of beta-carotene stimulate the proliferation of human pancreatic duct epithelial ...