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Clinical and genetic validity of quantitative bipolarity
Research has yet to provide a comprehensive understanding of the genetic basis of bipolar disorder (BP). In genetic studies, defining the phenotype by diagnosis may miss risk-allele carriers without BP. The authors aimed to test whether quantitatively detected subclinical symptoms of bipolarity iden...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746871/ https://www.ncbi.nlm.nih.gov/pubmed/31527585 http://dx.doi.org/10.1038/s41398-019-0561-z |
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author | Bruce, Heather A. Kochunov, Peter Mitchell, Braxton Strauss, Kevin A. Ament, Seth A. Rowland, Laura M. Du, Xiaoming Fisseha, Feven Kavita, Thangavelu Chiappelli, Joshua Wisner, Krista Sampath, Hemalatha Chen, Shuo Kvarta, Mark D. Seneviratne, Chamindi Postolache, Teodor T. Bellon, Alfredo McMahon, Francis J. Shuldiner, Alan Elliot Hong, L. |
author_facet | Bruce, Heather A. Kochunov, Peter Mitchell, Braxton Strauss, Kevin A. Ament, Seth A. Rowland, Laura M. Du, Xiaoming Fisseha, Feven Kavita, Thangavelu Chiappelli, Joshua Wisner, Krista Sampath, Hemalatha Chen, Shuo Kvarta, Mark D. Seneviratne, Chamindi Postolache, Teodor T. Bellon, Alfredo McMahon, Francis J. Shuldiner, Alan Elliot Hong, L. |
author_sort | Bruce, Heather A. |
collection | PubMed |
description | Research has yet to provide a comprehensive understanding of the genetic basis of bipolar disorder (BP). In genetic studies, defining the phenotype by diagnosis may miss risk-allele carriers without BP. The authors aimed to test whether quantitatively detected subclinical symptoms of bipolarity identifies a heritable trait that infers risk for BP. The Quantitative Bipolarity Scale (QBS) was administered to 310 Old Order Amish or Mennonite individuals from multigenerational pedigrees; 110 individuals had psychiatric diagnoses (20 BP, 61 major depressive disorders (MDD), 3 psychotic disorders, 26 other psychiatric disorders). Familial aggregation of QBS was calculated using the variance components method to derive heritability and shared household effects. The QBS score was significantly higher in BP subjects (31.5 ± 3.6) compared to MDD (16.7 ± 2.0), other psychiatric diagnoses (7.0 ± 1.9), and no psychiatric diagnosis (6.0 ± 0.65) (all p < 0.001). QBS in the whole sample was significantly heritable (h(2) = 0.46 ± 0.15, p < 0.001) while the variance attributed to the shared household effect was not significant (p = 0.073). When subjects with psychiatric illness were removed, the QBS heritability was similar (h(2) = 0.59 ± 0.18, p < 0.001). These findings suggest that quantitative bipolarity as measured by QBS can separate BP from other psychiatric illnesses yet is significantly heritable with and without BP included in the pedigrees suggesting that the quantitative bipolarity describes a continuous heritable trait that is not driven by a discrete psychiatric diagnosis. Bipolarity trait assessment may be used to supplement the diagnosis of BP in future genetic studies and could be especially useful for capturing subclinical genetic contributions to a BP phenotype. |
format | Online Article Text |
id | pubmed-6746871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67468712019-09-24 Clinical and genetic validity of quantitative bipolarity Bruce, Heather A. Kochunov, Peter Mitchell, Braxton Strauss, Kevin A. Ament, Seth A. Rowland, Laura M. Du, Xiaoming Fisseha, Feven Kavita, Thangavelu Chiappelli, Joshua Wisner, Krista Sampath, Hemalatha Chen, Shuo Kvarta, Mark D. Seneviratne, Chamindi Postolache, Teodor T. Bellon, Alfredo McMahon, Francis J. Shuldiner, Alan Elliot Hong, L. Transl Psychiatry Article Research has yet to provide a comprehensive understanding of the genetic basis of bipolar disorder (BP). In genetic studies, defining the phenotype by diagnosis may miss risk-allele carriers without BP. The authors aimed to test whether quantitatively detected subclinical symptoms of bipolarity identifies a heritable trait that infers risk for BP. The Quantitative Bipolarity Scale (QBS) was administered to 310 Old Order Amish or Mennonite individuals from multigenerational pedigrees; 110 individuals had psychiatric diagnoses (20 BP, 61 major depressive disorders (MDD), 3 psychotic disorders, 26 other psychiatric disorders). Familial aggregation of QBS was calculated using the variance components method to derive heritability and shared household effects. The QBS score was significantly higher in BP subjects (31.5 ± 3.6) compared to MDD (16.7 ± 2.0), other psychiatric diagnoses (7.0 ± 1.9), and no psychiatric diagnosis (6.0 ± 0.65) (all p < 0.001). QBS in the whole sample was significantly heritable (h(2) = 0.46 ± 0.15, p < 0.001) while the variance attributed to the shared household effect was not significant (p = 0.073). When subjects with psychiatric illness were removed, the QBS heritability was similar (h(2) = 0.59 ± 0.18, p < 0.001). These findings suggest that quantitative bipolarity as measured by QBS can separate BP from other psychiatric illnesses yet is significantly heritable with and without BP included in the pedigrees suggesting that the quantitative bipolarity describes a continuous heritable trait that is not driven by a discrete psychiatric diagnosis. Bipolarity trait assessment may be used to supplement the diagnosis of BP in future genetic studies and could be especially useful for capturing subclinical genetic contributions to a BP phenotype. Nature Publishing Group UK 2019-09-16 /pmc/articles/PMC6746871/ /pubmed/31527585 http://dx.doi.org/10.1038/s41398-019-0561-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bruce, Heather A. Kochunov, Peter Mitchell, Braxton Strauss, Kevin A. Ament, Seth A. Rowland, Laura M. Du, Xiaoming Fisseha, Feven Kavita, Thangavelu Chiappelli, Joshua Wisner, Krista Sampath, Hemalatha Chen, Shuo Kvarta, Mark D. Seneviratne, Chamindi Postolache, Teodor T. Bellon, Alfredo McMahon, Francis J. Shuldiner, Alan Elliot Hong, L. Clinical and genetic validity of quantitative bipolarity |
title | Clinical and genetic validity of quantitative bipolarity |
title_full | Clinical and genetic validity of quantitative bipolarity |
title_fullStr | Clinical and genetic validity of quantitative bipolarity |
title_full_unstemmed | Clinical and genetic validity of quantitative bipolarity |
title_short | Clinical and genetic validity of quantitative bipolarity |
title_sort | clinical and genetic validity of quantitative bipolarity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746871/ https://www.ncbi.nlm.nih.gov/pubmed/31527585 http://dx.doi.org/10.1038/s41398-019-0561-z |
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