On the Estimation of Heritability with Family-Based and Population-Based Samples
- Authors
- Kim, Youngdoe; Lee, Young; Lee, Sungyoung; Kim, Nam Hee; Lim, Jeongmin; Kim, Young Jin; Oh, Ji Hee; Min, Haesook; Lee, Meehee; Seo, Hyeon-Jeong; Lee, So-Hyun; Sung, Joohon; Cho, Nam H.; Kim, Bong-Jo; Han, Bok-Ghee; Elston, Robert C.; Won, Sungho; Lee, Juyoung
- Issue Date
- 2015
- Publisher
- HINDAWI LTD
- Citation
- BIOMED RESEARCH INTERNATIONAL, v.2015
- Journal Title
- BIOMED RESEARCH INTERNATIONAL
- Volume
- 2015
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/64696
- DOI
- 10.1155/2015/671349
- ISSN
- 2314-6133
2314-6141
- Abstract
- For a family-based sample, the phenotypic variance-covariance matrix can be parameterized to include the variance of a polygenic effect that has then been estimated using a variance component analysis. However, with the advent of large-scale genomic data, the genetic relationship matrix (GRM) can be estimated and can be utilized to parameterize the variance of a polygenic effect for population-based samples. Therefore narrow sense heritability, which is both population and trait specific, can be estimated with both population-and family-based samples. In this study we estimate heritability from both family-based and population-based samples, collected in Korea, and the heritability estimates from the pooled samples were, for height, 0.60; body mass index (BMI), 0.32; log-transformed triglycerides (log TG), 0.24; total cholesterol (TCHL), 0.30; high-density lipoprotein (HDL), 0.38; low-density lipoprotein (LDL), 0.29; systolic blood pressure (SBP), 0.23; and diastolic blood pressure (DBP), 0.24. Furthermore, we found differences in how heritability is estimated-in particular the amount of variance attributable to common environment in twins can be substantial-which indicates heritability estimates should be interpreted with caution.
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- Appears in
Collections - College of Business & Economics > Department of Applied Statistics > 1. Journal Articles
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