Literature DB >> 10207718

Effects of misclassification on estimates of relative risk in family history studies.

P Szatmari1, M B Jones.   

Abstract

Two types of misclassification that commonly occur in family-genetic studies are distinguished: 1) nondifferential misclassification, in which the probability of error as to phenotype (presence or absence of psychiatric disorder) does not depend on exposure status (being kin to a case or control proband) and 2) differential misclassification, in which it does. Nondifferential misclassification of phenotype reduces the observed relative risk towards the null value, sometimes quite dramatically. Differential misclassification can bias the observed relative risk in either direction, depending on the different values of sensitivity and specificity among relatives of cases and controls. The impact of these biases on genetic-epidemiologic studies is reviewed and discussed. In particular, the ability to detect major gene effects from the pattern of relative risks in first-, second-, and third-degree relatives can be severely compromised. Although there are some methods available to correct the effects of nondifferential misclassification, a major priority for family history studies is to minimize differential misclassification.

Entities:  

Mesh:

Year:  1999        PMID: 10207718     DOI: 10.1002/(SICI)1098-2272(1999)16:4<368::AID-GEPI4>3.0.CO;2-A

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  6 in total

Review 1.  The effect of misclassification on the estimation of association: a review.

Authors:  Michael Höfler
Journal:  Int J Methods Psychiatr Res       Date:  2005       Impact factor: 4.035

Review 2.  Conducting genetic epidemiology studies of autism spectrum disorders: issues in matching.

Authors:  Peter Szatmari; Lonnie Zwaigenbaum; Susan Bryson
Journal:  J Autism Dev Disord       Date:  2004-02

3.  Pseudodrusen and Incidence of Late Age-Related Macular Degeneration in Fellow Eyes in the Comparison of Age-Related Macular Degeneration Treatments Trials.

Authors:  Qiang Zhou; Ebenezer Daniel; Maureen G Maguire; Juan E Grunwald; E Revell Martin; Daniel F Martin; Gui-Shuang Ying
Journal:  Ophthalmology       Date:  2016-04-01       Impact factor: 12.079

4.  Accounting for control mislabeling in case-control biomarker studies.

Authors:  Mattias Rantalainen; Chris C Holmes
Journal:  J Proteome Res       Date:  2011-11-08       Impact factor: 4.466

5.  Genome-wide and Ordered-Subset linkage analyses provide support for autism loci on 17q and 19p with evidence of phenotypic and interlocus genetic correlates.

Authors:  Jacob L McCauley; Chun Li; Lan Jiang; Lana M Olson; Genea Crockett; Kimberly Gainer; Susan E Folstein; Jonathan L Haines; James S Sutcliffe
Journal:  BMC Med Genet       Date:  2005-01-12       Impact factor: 2.103

6.  Maternal feeding practices in relation to dietary intakes and BMI in 5 year-olds in a multi-ethnic Asian population.

Authors:  Phaik Ling Quah; Ginanjar Syuhada; Lisa R Fries; Mei Jun Chan; Hui Xian Lim; Jia Ying Toh; Ray Sugianto; Izzuddin M Aris; Yung Seng Lee; Fabian Yap; Keith M Godfrey; Peter D Gluckman; Yap-Seng Chong; Lynette P Shek; Kok Hian Tan; Ciaran G Forde; Mary F F Chong
Journal:  PLoS One       Date:  2018-09-18       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.