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%.
| Original language | English |
|---|---|
| Article number | 101043 |
| Journal | SSM - Population Health |
| Volume | 17 |
| DOIs | |
| Publication status | Published - 2022 Mar |
Bibliographical note
Publisher Copyright:© 2022 The Authors
Keywords
- Height
- Heritability
- Low- and middle-income countries
- Twin studies
- Unknown zygosity
ASJC Scopus subject areas
- Health(social science)
- Health Policy
- Public Health, Environmental and Occupational Health