Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Estimating heritability of height without zygosity information for twins under five years in low- and middle-income countries: An application of normal finite mixture distribution models

Full metadata record
DC Field Value Language
dc.contributor.authorKarlsson, Omar-
dc.contributor.authorDomingue, Benjamin W.-
dc.contributor.authorKim, Rockli-
dc.contributor.authorSubramanian, S., V-
dc.date.accessioned2022-06-11T02:41:16Z-
dc.date.available2022-06-11T02:41:16Z-
dc.date.created2022-06-09-
dc.date.issued2022-03-
dc.identifier.issn2352-8273-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/141930-
dc.description.abstractTwin studies are widely used to estimate heritability of traits and typically rely on knowing the zygosity of twin pairs in order to determine variation attributable to genetics. Most twin studies are conducted in high resource settings. Large scale household survey data, such as the Demographic and Health Surveys, collect various biomarkers for children under five years old in low-and middle-income countries. These data include twins but no information on zygosity. We applied mixture models to obtain heritability estimates without knowing zygosity of twins, using 249 Demographic and Health Surveys from 79 low-and middle-income countries (14,524 twin pairs). We focused on height of children, adjusted for age and sex, but also provided estimates for other biomarkers available in the data. We estimated that the heritability of height in our sample was 46%.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCI LTD-
dc.subjectENVIRONMENT-
dc.subjectADOLESCENCE-
dc.subjectPHENOTYPES-
dc.subjectADULTHOOD-
dc.subjectBIRTH-
dc.subjectAGE-
dc.titleEstimating heritability of height without zygosity information for twins under five years in low- and middle-income countries: An application of normal finite mixture distribution models-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Rockli-
dc.identifier.doi10.1016/j.ssmph.2022.101043-
dc.identifier.scopusid2-s2.0-85124730171-
dc.identifier.wosid000789745100021-
dc.identifier.bibliographicCitationSSM-POPULATION HEALTH, v.17-
dc.relation.isPartOfSSM-POPULATION HEALTH-
dc.citation.titleSSM-POPULATION HEALTH-
dc.citation.volume17-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPublic, Environmental & Occupational Health-
dc.relation.journalWebOfScienceCategoryPublic, Environmental & Occupational Health-
dc.subject.keywordPlusENVIRONMENT-
dc.subject.keywordPlusADOLESCENCE-
dc.subject.keywordPlusPHENOTYPES-
dc.subject.keywordPlusADULTHOOD-
dc.subject.keywordPlusBIRTH-
dc.subject.keywordPlusAGE-
dc.subject.keywordAuthorHeritability-
dc.subject.keywordAuthorTwin studies-
dc.subject.keywordAuthorHeight-
dc.subject.keywordAuthorUnknown zygosity-
dc.subject.keywordAuthorLow-and middle-income countries-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Health Sciences > Division of Health Policy and Management > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE