Title: Can birthweight discordancy within monozygotic twin pairs be used as an indicator of chorionicity?
Authors: Gielen, M ×
Derom, Cathérine
Derom, Robert
Vlietinck, Robert
Zeegers, Maurice P #
Issue Date: Apr-2009
Series Title: Twin Research and Human Genetics vol:12 issue:2 pages:169-74
Abstract: Both zygosity and chorionicity provide important information in twin research. The East Flanders Prospective Twin Survey (EFPTS) determines zygosity and chorionicity at birth and therefore provides a gold standard for the testing of diagnostic parameters that can be used to determine chorionicity. The aim of the present study was to investigate whether birthweight discordancy can be used as an indicator of chorionicity. The study sample consisted of 4,060 live-born twin pairs from the EFPTS. We studied MZ twins, using univariate and multivariate logistic regression analyses to calculate odds ratios (OR) and 95% confidence intervals (CI) of being MC in relation to discordancy level. Diagnostic parameters, including sensitivity and specificity, were calculated. A two-fold cross-validation was carried out and a bootstrap distribution with 10,000 samples was created to estimate the standard deviations. For discordancy levels of below 10%, 10-15%, 15-20%, 20-25% and above 25%, the ORs (95% CI) were 1.16 (0.91-1.47), 1.38 (1.05-1.80), 2.13 (1.51-3.01), 2.73 (1.73-4.29) and 2.81 (2.81-4.35) respectively. There were no gender differences. Sensitivity was 42.2% (SD 5.6%), specificity was 72.8% (SD 6.3%), positive predictive value was 72.8% (1.5%) and the negative predictive value was 39.2% (0.7%). In conclusion, although a higher discordancy level resulted in higher ORs of being an MC twin, birthweight discordancy level can only be used to some weak extent as a proxy for chorionicity, highlighting the need to assess and record chorionicity data in obstetrical units.
ISSN: 1832-4274
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Clinical Genetics Section (-)
Clinical Genetics
Laboratory for Intensive Care Medicine (-)
Department of Human Genetics - miscellaneous
× corresponding author
# (joint) last author

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