Source:http://linkedlifedata.com/resource/pubmed/id/14716719
| Subject | Predicate | Object | Context |
|---|---|---|---|
| pubmed-article:14716719 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:14716719 | lifeskim:mentions | umls-concept:C0002395 | lld:lifeskim |
| pubmed-article:14716719 | lifeskim:mentions | umls-concept:C0035168 | lld:lifeskim |
| pubmed-article:14716719 | lifeskim:mentions | umls-concept:C2717878 | lld:lifeskim |
| pubmed-article:14716719 | lifeskim:mentions | umls-concept:C0805586 | lld:lifeskim |
| pubmed-article:14716719 | pubmed:issue | 2 | lld:pubmed |
| pubmed-article:14716719 | pubmed:dateCreated | 2004-1-12 | lld:pubmed |
| pubmed-article:14716719 | pubmed:abstractText | Genetic association studies have identified important risk factors for Alzheimer's disease and other diseases. However, the ease with which these methods can be applied and the shear number of polymorphisms in the human genome has led to a well-characterized multiple comparison problem-given the number of genetic variants being tested, it is likely that many of the positive findings reported in the literature to date will prove to be false positive findings explained simply by random fluctuation in data and type I error. The disparity of findings in initial positive reports versus subsequent negative replication studies observed in the Alzheimer's disease literature underscores this problem. The problem of a high false positive rate can be addressed in part by using statistical correction for multiple comparisons in larger and statistically more powerful samples and in meta-analyses of smaller samples. National initiatives are now being considered to address this problem by encouraging sharing of genetic material. Of equal concern in planning future initiatives are methodological issues that are the domain of the epidemiologist. In fact, it is possible that disparate findings across case-control studies reported to date may be explained in part by problems in the design, analysis and interpretation of these studies. The involvement of epidemiologists may improve the situation in this regard. For example, population stratification bias, control selection bias and prevalent case bias can be minimized by careful study design and by appropriate statistical analysis. Regarding interpretation of case-control studies, a more careful consideration of the strength of evidence for a given genetic variant may help to temper enthusiasm for, or appropriately qualify, positive findings. Epidemiologists have well-developed causal criteria for this purpose. This paper reviews the current state of case-control studies of genetic variants in Alzheimer's disease from the epidemiological perspective. The problem of multiple comparisons and a high false positive rate is reviewed. The potential for bias in case-control studies of Alzheimer's disease is reviewed by way of example. Future initiatives to promote case-control studies of genetic variants in Alzheimer's disease can only benefit from increased awareness the tools of epidemiology. | lld:pubmed |
| pubmed-article:14716719 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:14716719 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:14716719 | pubmed:language | eng | lld:pubmed |
| pubmed-article:14716719 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:14716719 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:14716719 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:14716719 | pubmed:month | Jan | lld:pubmed |
| pubmed-article:14716719 | pubmed:issn | 0277-6715 | lld:pubmed |
| pubmed-article:14716719 | pubmed:author | pubmed-author:EdlandSteven... | lld:pubmed |
| pubmed-article:14716719 | pubmed:author | pubmed-author:FarrerMatthew... | lld:pubmed |
| pubmed-article:14716719 | pubmed:author | pubmed-author:SlagerSusanS | lld:pubmed |
| pubmed-article:14716719 | pubmed:copyrightInfo | Copyright 2004 John Wiley & Sons, Ltd. | lld:pubmed |
| pubmed-article:14716719 | pubmed:issnType | lld:pubmed | |
| pubmed-article:14716719 | pubmed:day | 30 | lld:pubmed |
| pubmed-article:14716719 | pubmed:volume | 23 | lld:pubmed |
| pubmed-article:14716719 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:14716719 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:14716719 | pubmed:pagination | 169-78 | lld:pubmed |
| pubmed-article:14716719 | pubmed:dateRevised | 2007-11-14 | lld:pubmed |
| pubmed-article:14716719 | pubmed:meshHeading | pubmed-meshheading:14716719... | lld:pubmed |
| pubmed-article:14716719 | pubmed:meshHeading | pubmed-meshheading:14716719... | lld:pubmed |
| pubmed-article:14716719 | pubmed:meshHeading | pubmed-meshheading:14716719... | lld:pubmed |
| pubmed-article:14716719 | pubmed:meshHeading | pubmed-meshheading:14716719... | lld:pubmed |
| pubmed-article:14716719 | pubmed:meshHeading | pubmed-meshheading:14716719... | lld:pubmed |
| pubmed-article:14716719 | pubmed:year | 2004 | lld:pubmed |
| pubmed-article:14716719 | pubmed:articleTitle | Genetic association studies in Alzheimer's disease research: challenges and opportunities. | lld:pubmed |
| pubmed-article:14716719 | pubmed:affiliation | Division of Clinical Epidemiology, Department of Health Science Research, Mayo Clinic and Foundation, Rochester, MN 55905, USA. edland@mayo.edu | lld:pubmed |
| pubmed-article:14716719 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:14716719 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:14716719 | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:14716719 | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:14716719 | lld:pubmed |