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Monogenic diabetes syndromes: Locus‐specific databases for Alström, Wolfram, and Thiamine‐responsive megaloblastic anemia
We developed a variant database for diabetes syndrome genes, using the Leiden Open Variation Database platform, containing observed phenotypes matched to the genetic variations. We populated it with 628 published disease‐associated variants (December 2016) for: WFS1 (n = 309), CISD2 (n = 3), ALMS1 (...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535005/ https://www.ncbi.nlm.nih.gov/pubmed/28432734 http://dx.doi.org/10.1002/humu.23233 |
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author | Astuti, Dewi Sabir, Ataf Fulton, Piers Zatyka, Malgorzata Williams, Denise Hardy, Carol Milan, Gabriella Favaretto, Francesca Yu‐Wai‐Man, Patrick Rohayem, Julia López de Heredia, Miguel Hershey, Tamara Tranebjaerg, Lisbeth Chen, Jian‐Hua Chaussenot, Annabel Nunes, Virginia Marshall, Bess McAfferty, Susan Tillmann, Vallo Maffei, Pietro Paquis‐Flucklinger, Veronique Geberhiwot, Tarekign Mlynarski, Wojciech Parkinson, Kay Picard, Virginie Bueno, Gema Esteban Dias, Renuka Arnold, Amy Richens, Caitlin Paisey, Richard Urano, Fumihiko Semple, Robert Sinnott, Richard Barrett, Timothy G. |
author_facet | Astuti, Dewi Sabir, Ataf Fulton, Piers Zatyka, Malgorzata Williams, Denise Hardy, Carol Milan, Gabriella Favaretto, Francesca Yu‐Wai‐Man, Patrick Rohayem, Julia López de Heredia, Miguel Hershey, Tamara Tranebjaerg, Lisbeth Chen, Jian‐Hua Chaussenot, Annabel Nunes, Virginia Marshall, Bess McAfferty, Susan Tillmann, Vallo Maffei, Pietro Paquis‐Flucklinger, Veronique Geberhiwot, Tarekign Mlynarski, Wojciech Parkinson, Kay Picard, Virginie Bueno, Gema Esteban Dias, Renuka Arnold, Amy Richens, Caitlin Paisey, Richard Urano, Fumihiko Semple, Robert Sinnott, Richard Barrett, Timothy G. |
author_sort | Astuti, Dewi |
collection | PubMed |
description | We developed a variant database for diabetes syndrome genes, using the Leiden Open Variation Database platform, containing observed phenotypes matched to the genetic variations. We populated it with 628 published disease‐associated variants (December 2016) for: WFS1 (n = 309), CISD2 (n = 3), ALMS1 (n = 268), and SLC19A2 (n = 48) for Wolfram type 1, Wolfram type 2, Alström, and Thiamine‐responsive megaloblastic anemia syndromes, respectively; and included 23 previously unpublished novel germline variants in WFS1 and 17 variants in ALMS1. We then investigated genotype–phenotype relations for the WFS1 gene. The presence of biallelic loss‐of‐function variants predicted Wolfram syndrome defined by insulin‐dependent diabetes and optic atrophy, with a sensitivity of 79% (95% CI 75%–83%) and specificity of 92% (83%–97%). The presence of minor loss‐of‐function variants in WFS1 predicted isolated diabetes, isolated deafness, or isolated congenital cataracts without development of the full syndrome (sensitivity 100% [93%–100%]; specificity 78% [73%–82%]). The ability to provide a prognostic prediction based on genotype will lead to improvements in patient care and counseling. The development of the database as a repository for monogenic diabetes gene variants will allow prognostic predictions for other diabetes syndromes as next‐generation sequencing expands the repertoire of genotypes and phenotypes. The database is publicly available online at https://lovd.euro-wabb.org. |
format | Online Article Text |
id | pubmed-5535005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55350052017-08-14 Monogenic diabetes syndromes: Locus‐specific databases for Alström, Wolfram, and Thiamine‐responsive megaloblastic anemia Astuti, Dewi Sabir, Ataf Fulton, Piers Zatyka, Malgorzata Williams, Denise Hardy, Carol Milan, Gabriella Favaretto, Francesca Yu‐Wai‐Man, Patrick Rohayem, Julia López de Heredia, Miguel Hershey, Tamara Tranebjaerg, Lisbeth Chen, Jian‐Hua Chaussenot, Annabel Nunes, Virginia Marshall, Bess McAfferty, Susan Tillmann, Vallo Maffei, Pietro Paquis‐Flucklinger, Veronique Geberhiwot, Tarekign Mlynarski, Wojciech Parkinson, Kay Picard, Virginie Bueno, Gema Esteban Dias, Renuka Arnold, Amy Richens, Caitlin Paisey, Richard Urano, Fumihiko Semple, Robert Sinnott, Richard Barrett, Timothy G. Hum Mutat Databases We developed a variant database for diabetes syndrome genes, using the Leiden Open Variation Database platform, containing observed phenotypes matched to the genetic variations. We populated it with 628 published disease‐associated variants (December 2016) for: WFS1 (n = 309), CISD2 (n = 3), ALMS1 (n = 268), and SLC19A2 (n = 48) for Wolfram type 1, Wolfram type 2, Alström, and Thiamine‐responsive megaloblastic anemia syndromes, respectively; and included 23 previously unpublished novel germline variants in WFS1 and 17 variants in ALMS1. We then investigated genotype–phenotype relations for the WFS1 gene. The presence of biallelic loss‐of‐function variants predicted Wolfram syndrome defined by insulin‐dependent diabetes and optic atrophy, with a sensitivity of 79% (95% CI 75%–83%) and specificity of 92% (83%–97%). The presence of minor loss‐of‐function variants in WFS1 predicted isolated diabetes, isolated deafness, or isolated congenital cataracts without development of the full syndrome (sensitivity 100% [93%–100%]; specificity 78% [73%–82%]). The ability to provide a prognostic prediction based on genotype will lead to improvements in patient care and counseling. The development of the database as a repository for monogenic diabetes gene variants will allow prognostic predictions for other diabetes syndromes as next‐generation sequencing expands the repertoire of genotypes and phenotypes. The database is publicly available online at https://lovd.euro-wabb.org. John Wiley and Sons Inc. 2017-06-01 2017-07 /pmc/articles/PMC5535005/ /pubmed/28432734 http://dx.doi.org/10.1002/humu.23233 Text en © 2017 The Authors. **Human Mutation published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Databases Astuti, Dewi Sabir, Ataf Fulton, Piers Zatyka, Malgorzata Williams, Denise Hardy, Carol Milan, Gabriella Favaretto, Francesca Yu‐Wai‐Man, Patrick Rohayem, Julia López de Heredia, Miguel Hershey, Tamara Tranebjaerg, Lisbeth Chen, Jian‐Hua Chaussenot, Annabel Nunes, Virginia Marshall, Bess McAfferty, Susan Tillmann, Vallo Maffei, Pietro Paquis‐Flucklinger, Veronique Geberhiwot, Tarekign Mlynarski, Wojciech Parkinson, Kay Picard, Virginie Bueno, Gema Esteban Dias, Renuka Arnold, Amy Richens, Caitlin Paisey, Richard Urano, Fumihiko Semple, Robert Sinnott, Richard Barrett, Timothy G. Monogenic diabetes syndromes: Locus‐specific databases for Alström, Wolfram, and Thiamine‐responsive megaloblastic anemia |
title | Monogenic diabetes syndromes: Locus‐specific databases for Alström, Wolfram, and Thiamine‐responsive megaloblastic anemia |
title_full | Monogenic diabetes syndromes: Locus‐specific databases for Alström, Wolfram, and Thiamine‐responsive megaloblastic anemia |
title_fullStr | Monogenic diabetes syndromes: Locus‐specific databases for Alström, Wolfram, and Thiamine‐responsive megaloblastic anemia |
title_full_unstemmed | Monogenic diabetes syndromes: Locus‐specific databases for Alström, Wolfram, and Thiamine‐responsive megaloblastic anemia |
title_short | Monogenic diabetes syndromes: Locus‐specific databases for Alström, Wolfram, and Thiamine‐responsive megaloblastic anemia |
title_sort | monogenic diabetes syndromes: locus‐specific databases for alström, wolfram, and thiamine‐responsive megaloblastic anemia |
topic | Databases |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535005/ https://www.ncbi.nlm.nih.gov/pubmed/28432734 http://dx.doi.org/10.1002/humu.23233 |
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