Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-25T14:19:03.406Z Has data issue: false hasContentIssue false

Determination of Twin Zygosity: A Comparison of DNA with Various Questionnaire Indices

Published online by Cambridge University Press:  21 February 2012

Robert W. Jackson
Affiliation:
Georgia Prevention Institute, Medical College of Georgia, USA.
Harold Snieder
Affiliation:
Georgia Prevention Institute, Medical College of Georgia, USA.
Harry Davis
Affiliation:
Office of Biostatistics, Medical College of Georgia, USA.
Frank A. Treiber*
Affiliation:
Georgia Prevention Institute, Medical College of Georgia, USA; Office of Biostatistics, Medical College of Georgia, USA; Departments of Pediatrics and Psychiatry, Medical College of Georgia, USA. [email protected].
*
*Address for Correspondence: Professor Frank A. Treiber, Office of Biostatistics, Medical College of Georgia, Augusta, Georgia 30912, USA.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

This study examined cross-validation and test-retest reliability of questions and questionnaire indices commonly used for twin zygosity classification. Mothers of 58 monozygotic (MZ) and 52 dizygotic (DZ) same sex twin pairs were interviewed by telephone to answer questions regarding the similarity of their twins (mean age = 14.6 ± 2.8 years). A logistic regression equation correctly classified 91% of both MZ and DZ twin pairs in our sample using 7 of the 12 zygosity questions. The internal consistency for the total questionnaire (Cronbach's alpha) was 0.88. The median two month temporal stability estimate for the individual questions was r = .56 and r = .79 for the test total. For the cross-validation, zygosity classification indices taken from 9 previous studies were applied to our sample and compared to classification according to DNA microsatellite analyses (agreement range = 44 to 100%). The accuracy of the classification indices was significantly lower than the original studies for 62% of the comparisons. If zygosity determination with DNA markers or blood group typing for all subjects is not feasible, rather than using classification indices based on other studies, an optimal classification scheme can be achieved by using a zygosity questionnaire of which the reliability and validity of the questions is established in a random subsample of the same twin cohort.

Type
Articles
Copyright
Copyright © Cambridge University Press 2001