<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kim Y</submitter><funding>Korea National Institute of Health</funding><pagination>671349</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4538414</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>2015</volume><pubmed_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.</pubmed_abstract><journal>BioMed research international</journal><pubmed_title>On the Estimation of Heritability with Family-Based and Population-Based Samples.</pubmed_title><pmcid>PMC4538414</pmcid><funding_grant_id>2013-NG73002-00</funding_grant_id><funding_grant_id>2011-N73001-00</funding_grant_id><funding_grant_id>4851-302</funding_grant_id><funding_grant_id>4845-301</funding_grant_id><funding_grant_id>4851-307</funding_grant_id><pubmed_authors>Lee S</pubmed_authors><pubmed_authors>Seo HJ</pubmed_authors><pubmed_authors>Sung J</pubmed_authors><pubmed_authors>Lee M</pubmed_authors><pubmed_authors>Lee SH</pubmed_authors><pubmed_authors>Lee J</pubmed_authors><pubmed_authors>Oh JH</pubmed_authors><pubmed_authors>Kim BJ</pubmed_authors><pubmed_authors>Cho NH</pubmed_authors><pubmed_authors>Min H</pubmed_authors><pubmed_authors>Elston RC</pubmed_authors><pubmed_authors>Han BG</pubmed_authors><pubmed_authors>Kim YJ</pubmed_authors><pubmed_authors>Won S</pubmed_authors><pubmed_authors>Kim Y</pubmed_authors><pubmed_authors>Lim J</pubmed_authors><pubmed_authors>Lee Y</pubmed_authors><pubmed_authors>Kim NH</pubmed_authors></additional><is_claimable>false</is_claimable><name>On the Estimation of Heritability with Family-Based and Population-Based Samples.</name><description>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.</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015</publication><modification>2024-02-15T11:19:36.024Z</modification><creation>2019-03-27T01:56:51Z</creation></dates><accession>S-EPMC4538414</accession><cross_references><pubmed>26339629</pubmed><doi>10.1155/2015/671349</doi></cross_references></HashMap>