دورية أكاديمية

Safe Linkage of Cohort and Population-Based Register Data in a Genomewide Association Study on Health Care Expenditure.

التفاصيل البيبلوغرافية
العنوان: Safe Linkage of Cohort and Population-Based Register Data in a Genomewide Association Study on Health Care Expenditure.
المؤلفون: de Zeeuw EL; Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands., Voort L; SURF, Amsterdam, the Netherlands., Schoonhoven R; Statistics Netherlands, Den Haag/Heerlen, the Netherlands., Nivard MG; Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands., Emery T; Netherlands Interdisciplinary Demographic Institute, Den Haag, the Netherlands., Hottenga JJ; Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands., Willemsen GAHM; Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands., Dykstra PA; Department of Public Administration and Sociology, Erasmus University, Rotterdam, the Netherlands., Zarrabi N; SURF, Amsterdam, the Netherlands., Kartopawiro JD; Statistics Netherlands, Den Haag/Heerlen, the Netherlands., Boomsma DI; Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.; Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands.
المصدر: Twin research and human genetics : the official journal of the International Society for Twin Studies [Twin Res Hum Genet] 2021 Apr; Vol. 24 (2), pp. 103-109.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Cambridge University Press Country of Publication: England NLM ID: 101244624 Publication Model: Print Cited Medium: Internet ISSN: 1832-4274 (Print) Linking ISSN: 18324274 NLM ISO Abbreviation: Twin Res Hum Genet Subsets: MEDLINE
أسماء مطبوعة: Publication: 2012- : Cambridge, England : Cambridge University Press
Original Publication: Bowen Hills, QLD, Australia : Published for the ISTS by Australian Academic Press, [2005]-
مواضيع طبية MeSH: Genome-Wide Association Study* , Health Expenditures*, Cohort Studies ; Genotype ; Humans ; Polymorphism, Single Nucleotide
مستخلص: There are research questions whose answers require record linkage of multiple databases that may be characterized by limited options for full data sharing. For this purpose, the Open Data Infrastructure for Social Science and Economic Innovations (ODISSEI) consortium has supported the development of the ODISSEI Secure Supercomputer (OSSC) platform that allows researchers to link cohort data to data from Statistics Netherlands and run large-scale analyses in a high-performance computing (HPC) environment. Here, we report a successful record linkage genomewide association (GWA) study on expenditure for total health, mental health, primary and hospital care, and medication. Record linkage for genotype data from 16,726 participants from the Netherlands Twin Register (NTR) with data from Statistics Netherlands was accomplished in the secure OSSC platform, followed by gene-based tests and estimation of total and single nucleotide polymorphism (SNP)-based heritability. The total heritability of expenditure ranged between 29.4% (SE 0.8) and 37.5% (SE 0.8), but GWA analyses did not identify SNPs or genes that were genomewide significantly associated with health care expenditure. SNP-based heritability was between 0.0% (SE 3.5) and 5.4% (SE 4.0) and was different from zero for mental health care and primary care expenditure. We conclude that successfully linking genotype data to administrative health care expenditure data from Statistics Netherlands is feasible and demonstrates a series of analyses on health care expenditure. The OSSC platform offers secure possibilities for analyzing linked data in large scale and realizing sample sizes required for GWA studies, providing invaluable opportunities to answer many new research questions.
فهرسة مساهمة: Keywords: Record linkage; genomewide association study; health care expenditure; register-based data; safely interconnected data
تواريخ الأحداث: Date Created: 20210702 Date Completed: 20210917 Latest Revision: 20210917
رمز التحديث: 20221213
DOI: 10.1017/thg.2021.18
PMID: 34213412
قاعدة البيانات: MEDLINE
الوصف
تدمد:1832-4274
DOI:10.1017/thg.2021.18