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One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid Hormone: Structure-based Computational Mutation Prediction
Inactivating mutations of THRB, which encodes the thyroid hormone receptor β (TRβ), cause resistance to thyroid hormone (RTH; OMIM 190160). To date, more than 100 THRB mutations have been reported among RTH patients. Most mutations substitute a single amino-acid residue in the ligand-binding domain....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Japanese Society for Pediatric Endocrinology
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3687625/ https://www.ncbi.nlm.nih.gov/pubmed/23926384 http://dx.doi.org/10.1297/cpe.19.91 |
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author | Narumi, Satoshi Cho, Hideo Tamada, Izumi Kozu, Yuki Tsuchiya, Takayoshi Nagai, Toshiro Hasegawa, Tomonobu |
author_facet | Narumi, Satoshi Cho, Hideo Tamada, Izumi Kozu, Yuki Tsuchiya, Takayoshi Nagai, Toshiro Hasegawa, Tomonobu |
author_sort | Narumi, Satoshi |
collection | PubMed |
description | Inactivating mutations of THRB, which encodes the thyroid hormone receptor β (TRβ), cause resistance to thyroid hormone (RTH; OMIM 190160). To date, more than 100 THRB mutations have been reported among RTH patients. Most mutations substitute a single amino-acid residue in the ligand-binding domain. In this report, we describe clinical and molecular findings of three families with RTH. Three families harbored one novel (p.I431M) and two recurrent (p.R320H and p.R383C) THRB mutations. To examine the pathogenicity of identified mutations, we introduced a novel computational mutation prediction method based on three-dimensional structure data of TRβ-T(3) complex. First, to define the accuracy of our prediction system, we evaluated ten previously reported ‘positive control’ mutations, as well as 30 seemingly benign sequence variations observed among vertebral species as ‘negative controls’. We found that our system had a sensitivity of 80% and a specificity of 93%. We then analyzed three mutations detected in the present study and found that all three mutations are predicted to be deleterious. Our data suggest that our structure-based prediction system would be a prompt, inexpensive and feasible method for evaluating the pathogenicity of missense THRB mutations. |
format | Online Article Text |
id | pubmed-3687625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | The Japanese Society for Pediatric Endocrinology |
record_format | MEDLINE/PubMed |
spelling | pubmed-36876252013-08-07 One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid Hormone: Structure-based Computational Mutation Prediction Narumi, Satoshi Cho, Hideo Tamada, Izumi Kozu, Yuki Tsuchiya, Takayoshi Nagai, Toshiro Hasegawa, Tomonobu Clin Pediatr Endocrinol Original Article Inactivating mutations of THRB, which encodes the thyroid hormone receptor β (TRβ), cause resistance to thyroid hormone (RTH; OMIM 190160). To date, more than 100 THRB mutations have been reported among RTH patients. Most mutations substitute a single amino-acid residue in the ligand-binding domain. In this report, we describe clinical and molecular findings of three families with RTH. Three families harbored one novel (p.I431M) and two recurrent (p.R320H and p.R383C) THRB mutations. To examine the pathogenicity of identified mutations, we introduced a novel computational mutation prediction method based on three-dimensional structure data of TRβ-T(3) complex. First, to define the accuracy of our prediction system, we evaluated ten previously reported ‘positive control’ mutations, as well as 30 seemingly benign sequence variations observed among vertebral species as ‘negative controls’. We found that our system had a sensitivity of 80% and a specificity of 93%. We then analyzed three mutations detected in the present study and found that all three mutations are predicted to be deleterious. Our data suggest that our structure-based prediction system would be a prompt, inexpensive and feasible method for evaluating the pathogenicity of missense THRB mutations. The Japanese Society for Pediatric Endocrinology 2010-12-29 2010-10 /pmc/articles/PMC3687625/ /pubmed/23926384 http://dx.doi.org/10.1297/cpe.19.91 Text en 2010©The Japanese Society for Pediatric Endocrinology http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. |
spellingShingle | Original Article Narumi, Satoshi Cho, Hideo Tamada, Izumi Kozu, Yuki Tsuchiya, Takayoshi Nagai, Toshiro Hasegawa, Tomonobu One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid Hormone: Structure-based Computational Mutation Prediction |
title | One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid
Hormone: Structure-based Computational Mutation Prediction |
title_full | One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid
Hormone: Structure-based Computational Mutation Prediction |
title_fullStr | One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid
Hormone: Structure-based Computational Mutation Prediction |
title_full_unstemmed | One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid
Hormone: Structure-based Computational Mutation Prediction |
title_short | One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid
Hormone: Structure-based Computational Mutation Prediction |
title_sort | one novel and two recurrent thrb mutations associated with resistance to thyroid
hormone: structure-based computational mutation prediction |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3687625/ https://www.ncbi.nlm.nih.gov/pubmed/23926384 http://dx.doi.org/10.1297/cpe.19.91 |
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