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

Omar Karlsson, Benjamin W. Domingue, Rockli Kim, S. V. Subramanian

Research output: Contribution to journalArticlepeer-review

1 Citation (SciVal)

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 languageEnglish
Article number101043
JournalSSM - Population Health
Volume17
DOIs
Publication statusPublished - 2022 Mar

Bibliographical note

Funding Information:
OK was funded by a Wallander stipendium ( W19-0015 ) from the Jan Wallander and Tom Hedelius foundation .

Subject classification (UKÄ)

  • Economic History

Keywords

  • Height
  • Heritability
  • Low- and middle-income countries
  • Twin studies
  • Unknown zygosity

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