» Articles » PMID: 3832726

Differential Enrollment in Twin Registries: Its Effect on Prevalence and Concordance Rates and Estimates of Genetic Parameters

Overview
Specialty Genetics
Date 1985 Jan 1
PMID 3832726
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

In the NAS-NRC Registry, all major diseases are more common in DZ than in MZ twins. Furthermore, concordance rates for most disorders are lower in the registry than would be expected. In this article we propose a general model which seeks to explain these phenomena. The model explores the impact of traits which increase or decrease the probability of enrollment of individuals given that the registry, like the NAS-NRC, includes only pairs where both members are enrolled. If the trait decreases the probability of selection into the registry, both the prevalence of and concordance for the trait in the registry will be lower than that found in the population. A trait which increases the probability of selection has the opposite effects. However, the magnitude of these effects are a function of the population concordance. If population concordance differs in MZ and DZ twins, the effect of differential enrollment will not be the same for the two zygosity groups. The article examines the impact of differential enrollment on estimates of heritability and common environment and explores ways in which estimates of prevalence and concordance rates can be obtained which are free of the bias introduced by selection.

Citing Articles

Stroke Genomics: Current Knowledge, Clinical Applications and Future Possibilities.

Appunni S, Rubens M, Ramamoorthy V, Saxena A, McGranaghan P, Veledar E Brain Sci. 2022; 12(3).

PMID: 35326259 PMC: 8946102. DOI: 10.3390/brainsci12030302.


Genetic and Environmental Influences on Blood Pressure and Body Mass Index in the National Academy of Sciences-National Research Council World War II Veteran Twin Registry.

Wang B, Wu T, Neale M, Verweij R, Liu G, Su S Hypertension. 2020; 76(5):1428-1434.

PMID: 32981367 PMC: 7535104. DOI: 10.1161/HYPERTENSIONAHA.120.15232.


The Norwegian Institute of Public Health twin study of mental health: examining recruitment and attrition bias.

Tambs K, Ronning T, Prescott C, Kendler K, Reichborn-Kjennerud T, Torgersen S Twin Res Hum Genet. 2009; 12(2):158-68.

PMID: 19335186 PMC: 2743739. DOI: 10.1375/twin.12.2.158.


Systematic identification of twins by computerised searches of NHS patient registers in the UK.

Strachan D, Burnett A J Epidemiol Community Health. 1997; 51(1):96-100.

PMID: 9135796 PMC: 1060417. DOI: 10.1136/jech.51.1.96.


A pilot Swedish twin study of affective illness including hospital- and population-ascertained subsamples: results of model fitting.

Kendler K, Pedersen N, Neale M, Mathe A Behav Genet. 1995; 25(3):217-32.

PMID: 7598665 DOI: 10.1007/BF02197180.