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Estimating heritability using family and unrelated individuals data

For the family data from Genetic Analysis Workshop 17, we obtained heritability estimates of quantitative traits Q1 and Q4 using the ASSOC program in the S.A.G.E. software package. ASSOC is a family-based method that estimates heritability through the estimation of variance components. The covariate...

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Autores principales: Shetty, Priya B, Qin, Huaizhen, Namkung, Junghyun, Elston, Robert C, Zhu, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287870/
https://www.ncbi.nlm.nih.gov/pubmed/22373039
http://dx.doi.org/10.1186/1753-6561-5-S9-S34
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author Shetty, Priya B
Qin, Huaizhen
Namkung, Junghyun
Elston, Robert C
Zhu, Xiaofeng
author_facet Shetty, Priya B
Qin, Huaizhen
Namkung, Junghyun
Elston, Robert C
Zhu, Xiaofeng
author_sort Shetty, Priya B
collection PubMed
description For the family data from Genetic Analysis Workshop 17, we obtained heritability estimates of quantitative traits Q1 and Q4 using the ASSOC program in the S.A.G.E. software package. ASSOC is a family-based method that estimates heritability through the estimation of variance components. The covariate-adjusted mean heritability was 0.650 for Q1 and 0.745 for Q4. For the unrelated individuals data, we estimated the heritability of Q1 as the proportion of total variance that can be accounted for by all single-nucleotide polymorphisms under an additive model. We examined a novel ordinary least-squares method, a naïve restricted maximum-likelihood method, and a calibrated restricted maximum-likelihood method. We applied the different methods to all 200 replicates for Q1. We observed that the ordinary least-squares method yielded many estimates outside the interval [0, 1]. The restricted maximum-likelihood estimates were more stable than the ordinary least-squares estimates. The naïve restricted maximum-likelihood method yielded an average estimate of 0.462 ± 0.1, and the calibrated restricted maximum-likelihood method yielded an average of 0.535 ± 0.121. Our results demonstrate discrepancies in heritability estimates using the family data and the unrelated individuals data.
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spelling pubmed-32878702012-02-28 Estimating heritability using family and unrelated individuals data Shetty, Priya B Qin, Huaizhen Namkung, Junghyun Elston, Robert C Zhu, Xiaofeng BMC Proc Proceedings For the family data from Genetic Analysis Workshop 17, we obtained heritability estimates of quantitative traits Q1 and Q4 using the ASSOC program in the S.A.G.E. software package. ASSOC is a family-based method that estimates heritability through the estimation of variance components. The covariate-adjusted mean heritability was 0.650 for Q1 and 0.745 for Q4. For the unrelated individuals data, we estimated the heritability of Q1 as the proportion of total variance that can be accounted for by all single-nucleotide polymorphisms under an additive model. We examined a novel ordinary least-squares method, a naïve restricted maximum-likelihood method, and a calibrated restricted maximum-likelihood method. We applied the different methods to all 200 replicates for Q1. We observed that the ordinary least-squares method yielded many estimates outside the interval [0, 1]. The restricted maximum-likelihood estimates were more stable than the ordinary least-squares estimates. The naïve restricted maximum-likelihood method yielded an average estimate of 0.462 ± 0.1, and the calibrated restricted maximum-likelihood method yielded an average of 0.535 ± 0.121. Our results demonstrate discrepancies in heritability estimates using the family data and the unrelated individuals data. BioMed Central 2011-11-29 /pmc/articles/PMC3287870/ /pubmed/22373039 http://dx.doi.org/10.1186/1753-6561-5-S9-S34 Text en Copyright ©2011 Shetty et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Shetty, Priya B
Qin, Huaizhen
Namkung, Junghyun
Elston, Robert C
Zhu, Xiaofeng
Estimating heritability using family and unrelated individuals data
title Estimating heritability using family and unrelated individuals data
title_full Estimating heritability using family and unrelated individuals data
title_fullStr Estimating heritability using family and unrelated individuals data
title_full_unstemmed Estimating heritability using family and unrelated individuals data
title_short Estimating heritability using family and unrelated individuals data
title_sort estimating heritability using family and unrelated individuals data
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287870/
https://www.ncbi.nlm.nih.gov/pubmed/22373039
http://dx.doi.org/10.1186/1753-6561-5-S9-S34
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