Journal article
A new statistical test for age-of-onset anticipation: Application to bipolar disorder
Genetic epidemiology, Vol.14(6), pp.1091-1096
1997
DOI: 10.1002/(SICI)1098-2272(1997)14:6<1091::AID-GEPI88>3.0.CO;2-C
PMID: 9433629
Abstract
The discovery of expanding microsatellite repeat mechanisms for a variety of diseases has spurred renewed interest in testing for genetic anticipation in complex diseases. However, standard statistical methods can be shown to be inappropriate for this purpose. We derive a new statistical test for comparing mean age of onset in parents with mean age of onset in children, based on a random sample of affected parent-child pairs. This test incorporates the right-truncation of the age-of-onset distributions and utilizes age-at-interview information. We illustrate the use of the test by application to bipolar affective disorder data. In this example, the correct p-value is 0.014 whereas the results based on the biased estimates give a p- value of 0.0001 [McInnis et al., 1993]. We also briefly consider the effects of ascertainment bias when parent-child pairs are obtained from samples collected for purposes of linkage analysis.
Details
- Title: Subtitle
- A new statistical test for age-of-onset anticipation: Application to bipolar disorder
- Creators
- Jian Huang - University of IowaVeronica Vieland - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Genetic epidemiology, Vol.14(6), pp.1091-1096
- Publisher
- Wiley Subscription Services, Inc., A Wiley Company
- DOI
- 10.1002/(SICI)1098-2272(1997)14:6<1091::AID-GEPI88>3.0.CO;2-C
- PMID
- 9433629
- ISSN
- 0741-0395
- eISSN
- 1098-2272
- Number of pages
- 6
- Language
- English
- Date published
- 1997
- Academic Unit
- Statistics and Actuarial Science
- Record Identifier
- 9984257744802771
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