Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
QIMR Home Page
GenEpi Home Page
Publications
Contacts
Research
Staff Index
Collaborators
Software Tools
Computing Resources
Studies
Search
GenEpi Intranet
PMID
31379313
TITLE
Genetic Similarity Assessment of Twin-Family Populations by Custom-Designed Genotyping Array.
ABSTRACT
Twin registries often take part in large collaborative projects and are major contributors to genome-wide association (GWA) meta-analysis studies. In this article, we describe genotyping of twin-family populations from Australia, the Midwestern USA (Avera Twin Register), the Netherlands (Netherlands Twin Register), as well as a sample of mothers of twins from Nigeria to assess the extent, if any, of genetic differences between them. Genotyping in all cohorts was done using a custom-designed Illumina Global Screening Array (GSA), optimized to improve imputation quality for population-specific GWA studies. We investigated the degree of genetic similarity between the populations using several measures of population variation with genotype data generated from the GSA. Visualization of principal component analysis (PCA) revealed that the Australian, Dutch and Midwestern American populations exhibit negligible interpopulation stratification when compared to each other, to a reference European population and to globally distant populations. Estimations of fixation indices (FST values) between the Australian, Midwestern American and Netherlands populations suggest minimal genetic differentiation compared to the estimates between each population and a genetically distinct cohort (i.e., samples from Nigeria genotyped on GSA). Thus, results from this study demonstrate that genotype data from the Australian, Dutch and Midwestern American twin-family populations can be reasonably combined for joint-genetic analysis.
DATE PUBLISHED
2019 Aug 05
HISTORY
PUBSTATUS PUBSTATUSDATE
entrez 2019/08/06 06:00
pubmed 2019/08/06 06:00
medline 2019/08/06 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Beck JJ Beck Jeffrey J JJ Avera Institute for Human Genetics, Avera McKennan Hospital & University Health Center,Sioux Falls, SD,USA.
Hottenga JJ Hottenga Jouke-Jan JJ Department of Biological Psychology, Behavioral and Movement Sciences, Vrije Universiteit,Amsterdam,the Netherlands.
Mbarek H Mbarek Hamdi H Department of Biological Psychology, Behavioral and Movement Sciences, Vrije Universiteit,Amsterdam,the Netherlands.
Finnicum CT Finnicum Casey T CT Avera Institute for Human Genetics, Avera McKennan Hospital & University Health Center,Sioux Falls, SD,USA.
Ehli EA Ehli Erik A EA Avera Institute for Human Genetics, Avera McKennan Hospital & University Health Center,Sioux Falls, SD,USA.
Hur YM Hur Yoon-Mi YM Department of Education, Education Research Institute, Mokpo National University,Jeonnam,South Korea.
Martin NG Martin Nicholas G NG QIMR Berghofer Medical Research Institute,Brisbane, Queensland,Australia.
de Geus EJC de Geus Eco J C EJC Department of Biological Psychology, Behavioral and Movement Sciences, Vrije Universiteit,Amsterdam,the Netherlands.
Boomsma DI Boomsma Dorret I DI Avera Institute for Human Genetics, Avera McKennan Hospital & University Health Center,Sioux Falls, SD,USA.
Davies GE Davies Gareth E GE Avera Institute for Human Genetics, Avera McKennan Hospital & University Health Center,Sioux Falls, SD,USA.
INVESTIGATORS
JOURNAL
VOLUME:
ISSUE:
TITLE: Twin research and human genetics : the official journal of the International Society for Twin Studies
ISOABBREVIATION: Twin Res Hum Genet
YEAR: 2019
MONTH: Aug
DAY: 05
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1832-4274
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Twin Res Hum Genet
COUNTRY: England
ISSNLINKING: 1832-4274
NLMUNIQUEID: 101244624
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
KEYWORD
Genetic similarity assessment
genotyping microarray
population genetics
population structure
principal component analysis
twin
MESH HEADINGS
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's