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Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study
BACKGROUND: 16p13.11 microduplication syndrome has a variable presentation and is characterized primarily by neurodevelopmental and physical phenotypes resulting from copy number variation at chromosome 16p13.11. Given its variability, there may be features that have not yet been reported. The goal...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074853/ https://www.ncbi.nlm.nih.gov/pubmed/33724192 http://dx.doi.org/10.2196/21023 |
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author | Li, Jianqiao Hojlo, Margaret A Chennuri, Sampath Gujral, Nitin Paterson, Heather L Shefchek, Kent A Genetti, Casie A Cohn, Emily L Sewalk, Kara C Garvey, Emily A Buttermore, Elizabeth D Anderson, Nickesha C Beggs, Alan H Agrawal, Pankaj B Brownstein, John S Haendel, Melissa A Holm, Ingrid A Gonzalez-Heydrich, Joseph Brownstein, Catherine A |
author_facet | Li, Jianqiao Hojlo, Margaret A Chennuri, Sampath Gujral, Nitin Paterson, Heather L Shefchek, Kent A Genetti, Casie A Cohn, Emily L Sewalk, Kara C Garvey, Emily A Buttermore, Elizabeth D Anderson, Nickesha C Beggs, Alan H Agrawal, Pankaj B Brownstein, John S Haendel, Melissa A Holm, Ingrid A Gonzalez-Heydrich, Joseph Brownstein, Catherine A |
author_sort | Li, Jianqiao |
collection | PubMed |
description | BACKGROUND: 16p13.11 microduplication syndrome has a variable presentation and is characterized primarily by neurodevelopmental and physical phenotypes resulting from copy number variation at chromosome 16p13.11. Given its variability, there may be features that have not yet been reported. The goal of this study was to use a patient “self-phenotyping” survey to collect data directly from patients to further characterize the phenotypes of 16p13.11 microduplication syndrome. OBJECTIVE: This study aimed to (1) discover self-identified phenotypes in 16p13.11 microduplication syndrome that have been underrepresented in the scientific literature and (2) demonstrate that self-phenotyping tools are valuable sources of data for the medical and scientific communities. METHODS: As part of a large study to compare and evaluate patient self-phenotyping surveys, an online survey tool, Phenotypr, was developed for patients with rare disorders to self-report phenotypes. Participants with 16p13.11 microduplication syndrome were recruited through the Boston Children's Hospital 16p13.11 Registry. Either the caregiver, parent, or legal guardian of an affected child or the affected person (if aged 18 years or above) completed the survey. Results were securely transferred to a Research Electronic Data Capture database and aggregated for analysis. RESULTS: A total of 19 participants enrolled in the study. Notably, among the 19 participants, aggression and anxiety were mentioned by 3 (16%) and 4 (21%) participants, respectively, which is an increase over the numbers in previously published literature. Additionally, among the 19 participants, 3 (16%) had asthma and 2 (11%) had other immunological disorders, both of which have not been previously described in the syndrome. CONCLUSIONS: Several phenotypes might be underrepresented in the previous 16p13.11 microduplication literature, and new possible phenotypes have been identified. Whenever possible, patients should continue to be referenced as a source of complete phenotyping data on their condition. Self-phenotyping may lead to a better understanding of the prevalence of phenotypes in genetic disorders and may identify previously unreported phenotypes. |
format | Online Article Text |
id | pubmed-8074853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-80748532021-05-06 Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study Li, Jianqiao Hojlo, Margaret A Chennuri, Sampath Gujral, Nitin Paterson, Heather L Shefchek, Kent A Genetti, Casie A Cohn, Emily L Sewalk, Kara C Garvey, Emily A Buttermore, Elizabeth D Anderson, Nickesha C Beggs, Alan H Agrawal, Pankaj B Brownstein, John S Haendel, Melissa A Holm, Ingrid A Gonzalez-Heydrich, Joseph Brownstein, Catherine A J Med Internet Res Original Paper BACKGROUND: 16p13.11 microduplication syndrome has a variable presentation and is characterized primarily by neurodevelopmental and physical phenotypes resulting from copy number variation at chromosome 16p13.11. Given its variability, there may be features that have not yet been reported. The goal of this study was to use a patient “self-phenotyping” survey to collect data directly from patients to further characterize the phenotypes of 16p13.11 microduplication syndrome. OBJECTIVE: This study aimed to (1) discover self-identified phenotypes in 16p13.11 microduplication syndrome that have been underrepresented in the scientific literature and (2) demonstrate that self-phenotyping tools are valuable sources of data for the medical and scientific communities. METHODS: As part of a large study to compare and evaluate patient self-phenotyping surveys, an online survey tool, Phenotypr, was developed for patients with rare disorders to self-report phenotypes. Participants with 16p13.11 microduplication syndrome were recruited through the Boston Children's Hospital 16p13.11 Registry. Either the caregiver, parent, or legal guardian of an affected child or the affected person (if aged 18 years or above) completed the survey. Results were securely transferred to a Research Electronic Data Capture database and aggregated for analysis. RESULTS: A total of 19 participants enrolled in the study. Notably, among the 19 participants, aggression and anxiety were mentioned by 3 (16%) and 4 (21%) participants, respectively, which is an increase over the numbers in previously published literature. Additionally, among the 19 participants, 3 (16%) had asthma and 2 (11%) had other immunological disorders, both of which have not been previously described in the syndrome. CONCLUSIONS: Several phenotypes might be underrepresented in the previous 16p13.11 microduplication literature, and new possible phenotypes have been identified. Whenever possible, patients should continue to be referenced as a source of complete phenotyping data on their condition. Self-phenotyping may lead to a better understanding of the prevalence of phenotypes in genetic disorders and may identify previously unreported phenotypes. JMIR Publications 2021-03-16 /pmc/articles/PMC8074853/ /pubmed/33724192 http://dx.doi.org/10.2196/21023 Text en ©Jianqiao Li, Margaret A Hojlo, Sampath Chennuri, Nitin Gujral, Heather L Paterson, Kent A Shefchek, Casie A Genetti, Emily L Cohn, Kara C Sewalk, Emily A Garvey, Elizabeth D Buttermore, Nickesha C Anderson, Alan H Beggs, Pankaj B Agrawal, John S Brownstein, Melissa A Haendel, Ingrid A Holm, Joseph Gonzalez-Heydrich, Catherine A Brownstein. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.03.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Li, Jianqiao Hojlo, Margaret A Chennuri, Sampath Gujral, Nitin Paterson, Heather L Shefchek, Kent A Genetti, Casie A Cohn, Emily L Sewalk, Kara C Garvey, Emily A Buttermore, Elizabeth D Anderson, Nickesha C Beggs, Alan H Agrawal, Pankaj B Brownstein, John S Haendel, Melissa A Holm, Ingrid A Gonzalez-Heydrich, Joseph Brownstein, Catherine A Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study |
title | Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study |
title_full | Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study |
title_fullStr | Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study |
title_full_unstemmed | Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study |
title_short | Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study |
title_sort | underrepresentation of phenotypic variability of 16p13.11 microduplication syndrome assessed with an online self-phenotyping tool (phenotypr): cohort study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074853/ https://www.ncbi.nlm.nih.gov/pubmed/33724192 http://dx.doi.org/10.2196/21023 |
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