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The Danish Twin Registry: Linking Surveys, National Registers, and Biological Information

Published online by Cambridge University Press:  19 October 2012

Axel Skytthe
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
Lene Christiansen
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
Kirsten Ohm Kyvik
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
Frans L. Bødker
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
Lars Hvidberg
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
Inge Petersen
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
Morten M. F. Nielsen
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
Paul Bingley
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark The Danish National Centre for Social Research, Copenhagen, Denmark
Jacob Hjelmborg
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark Department of Biostatistics, University of Southern Denmark, Odense, Denmark
Qihua Tan
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
Niels V. Holm
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark Department of Oncology, Odense University Hospital, Odense, Denmark
James W. Vaupel
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark Max Planck Institute for Demographic Research, Rostock, Germany
Matt McGue
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark Department of Psychology, University of Minnesota, Minneapolis, MN, USA
Kaare Christensen*
Affiliation:
The Danish Twin Registry, University of Southern Denmark, Odense, Denmark Department of Clinical Genetics, Odense University Hospital, Odense, Denmark Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
*
address for correspondence: Kaare Christensen, The Danish Twin Registry, Epidemiology, Institute of Public Health, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000 Odense, Denmark. E-mail: kchristensen@health.sdu.dk

Abstract

Over the last 60 years, the resources and the research in the Danish Twin Registry (DTR) have periodically been summarized. Here, we give a short overview of the DTR and a more comprehensive description of new developments in the twenty-first century. First, we outline our experience over the last decade of combining questionnaire and survey data with national demographic, social, and health registers in Statistics Denmark. Second, we describe our most recent data collection effort, which was conducted during the period 2008–2011 and included both in-person assessments of 14,000+ twins born 1931–1969 and sampling of biological material, hereby expanding and consolidating the DTR biobank. Third, two examples of intensively studied twin cohorts are given. The new developments in the DTR in the last decade have facilitated the ongoing research and laid the groundwork for new research directions.

Figure 0

TABLE 1 Overview of Major MADT Assessment Domains at Intake and Follow-Up

Figure 1

TABLE 2 Characteristics of the MADT Follow-Up Sample

Figure 2

FIGURE 1 Comparison of MADT follow-up participants (N = 2,402), non-participants (N = 1,484), and deceased (N = 428) on several key intake measures. To facilitate comparison, all measures were adjusted for age and sex effects and then scaled to have a mean of 50 and a standard deviation of 10 in the total MADT intake sample. The group effect is significant for all measures except BMI. However, the magnitude of the difference between participants and non-participants is uniformly small, suggesting little bias due to attrition.

Figure 3

TABLE 3 Overview of Material Collected Within Population-Based Twin Studies

Figure 4

TABLE 4 Overview of Ancillary Twin Studies With Inclusion of Biological Material