https://scholars.lib.ntu.edu.tw/handle/123456789/521753
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | WEN-CHUNG LEE | en_US |
dc.contributor.author | Chang C.-H. | en_US |
dc.creator | Wen-Chung Lee;Chang C.-H. | - |
dc.date.accessioned | 2020-11-19T08:19:14Z | - |
dc.date.available | 2020-11-19T08:19:14Z | - |
dc.date.issued | 2006 | - |
dc.identifier.issn | 0143-005X | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-33746349521&doi=10.1136%2fjech.2005.043554&partnerID=40&md5=fa4e5773d2657988903aeb16f15e7deb | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/521753 | - |
dc.description.abstract | Background: Assessing joint genetic and environmental contributions to disease risk is the central issue in many genetic epidemiological studies. To characterise the effects of a gene, the case-control study may suffer from fne problem of population stratification bias. For a late onset disease, recruiting control subjects into case-parents and case-sibling studies may be difficult. Methods: Two novel approaches to analysing case-spouse data are introduced: the 1:1 case-counterfactual-control analysis (genotype swapping between the case and their spouse) and the 1:5 case-counterfactual-controls analysis (allele swapping). Results: Both can be implemented using statistical packages that allow matched analysis (the conditional logistic regression) to yield valid estimates of the genotype relative risk, the gene-environment interaction parameter, the gene-sex interaction parameter, and the gene-environment-sex three factor interaction parameter (if desired), if certain assumptions are fulfilled. Conclusion: Because of the ease in recruiting subjects, and in collecting and analysing data, this approach makes a convenient tool for gene characterisation. | - |
dc.language.iso | English | - |
dc.relation.ispartof | Journal of Epidemiology and Community Health | - |
dc.subject.classification | [SDGs]SDG3 | - |
dc.subject.other | disease; gene; health risk; intersexual interaction; regression analysis; risk assessment; risk factor; allele; article; case control study; controlled study; environmental factor; female; gene interaction; genetic epidemiology; genotype; heredity; human; intermethod comparison; logistic regression analysis; male; parent; risk factor; sexual behavior; sibling; spouse; statistical analysis; stratification | - |
dc.title | Assessing effects of disease genes and gene-environment interactions: The case-spouse design and the counterfactual-control analysis | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1136/jech.2005.043554 | - |
dc.identifier.pmid | 16840757 | - |
dc.identifier.scopus | 2-s2.0-33746349521 | - |
dc.relation.pages | 683-685 | - |
dc.relation.journalvolume | 60 | - |
dc.relation.journalissue | 8 | - |
item.fulltext | no fulltext | - |
item.openairetype | journal article | - |
item.languageiso639-1 | English | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Institute of Health Data Analytics and Statistics | - |
crisitem.author.dept | Public Health | - |
crisitem.author.orcid | 0000-0003-3171-7672 | - |
crisitem.author.parentorg | College of Public Health | - |
crisitem.author.parentorg | College of Public Health | - |
顯示於: | 流行病學與預防醫學研究所 |
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