Linked Life Data

16182901

Source:http://linkedlifedata.com/resource/pubmed/id/16182901

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9491
pubmed:dateCreated
2005-9-26
pubmed:abstractText
We review the rationale behind and discuss methods of design and analysis of genetic association studies. There are similarities between genetic association studies and classic epidemiological studies of environmental risk factors but there are also issues that are specific to studies of genetic risk factors such as the use of particular family-based designs, the need to account for different underlying genetic mechanisms, and the effect of population history. Association differs from linkage (covered elsewhere in this series) in that the alleles of interest will be the same across the whole population. As with other types of genetic epidemiological study, issues of design, statistical analysis, and interpretation are very important.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:issn
1474-547X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
366
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1121-31
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:articleTitle
Genetic association studies.
pubmed:affiliation
University of Cambridge, Department of Medical Genetics, Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research, Addenbrookes Hospital, UK. heather.cordell@cimr.cam.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't