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 modelsopen access
- Authors
- Karlsson, Omar; Domingue, Benjamin W.; Kim, Rockli; Subramanian, S., V
- Issue Date
- 3월-2022
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Heritability; Twin studies; Height; Unknown zygosity; Low-and middle-income countries
- Citation
- SSM-POPULATION HEALTH, v.17
- Indexed
- SCIE
SSCI
SCOPUS
- Journal Title
- SSM-POPULATION HEALTH
- Volume
- 17
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/141930
- DOI
- 10.1016/j.ssmph.2022.101043
- ISSN
- 2352-8273
- Abstract
- Twin 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%.
- 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
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.