Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study.

16p13.11 microduplication syndrome copy number variation digital health genetics human phenotype ontology incomplete penetrance online survey phenotype self-phenotyping variable presentation

Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
16 03 2021
Historique:
received: 13 10 2020
accepted: 16 01 2021
revised: 26 12 2020
entrez: 16 3 2021
pubmed: 17 3 2021
medline: 30 9 2021
Statut: epublish

Résumé

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. 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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 33724192
pii: v23i3e21023
doi: 10.2196/21023
pmc: PMC8074853
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e21023

Subventions

Organisme : NICHD NIH HHS
ID : U54 HD090255
Pays : United States

Informations de copyright

©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.

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Auteurs

Jianqiao Li (J)

Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, United States.
The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, United States.

Margaret A Hojlo (MA)

Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, United States.
Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, MA, United States.

Sampath Chennuri (S)

Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, MA, United States.

Nitin Gujral (N)

Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, MA, United States.

Heather L Paterson (HL)

Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, United States.
The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, United States.

Kent A Shefchek (KA)

Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, United States.

Casie A Genetti (CA)

Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, United States.
The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, United States.

Emily L Cohn (EL)

Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, MA, United States.

Kara C Sewalk (KC)

Computational Epidemiology Group, Boston Children's Hospital, Boston, MA, United States.

Emily A Garvey (EA)

Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, United States.
Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, MA, United States.

Elizabeth D Buttermore (ED)

Human Neuron Core, Translational Neuroscience Center, Boston Children's Hospital, Boston, MA, United States.

Nickesha C Anderson (NC)

Department of Neurology, Boston Children's Hospital, Boston, MA, United States.

Alan H Beggs (AH)

Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, United States.
The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, United States.
Department of Pediatrics, Harvard Medical School, Boston, MA, United States.

Pankaj B Agrawal (PB)

Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, United States.
The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, United States.
Department of Pediatrics, Harvard Medical School, Boston, MA, United States.
Division of Newborn Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States.

John S Brownstein (JS)

Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, MA, United States.
Department of Pediatrics, Harvard Medical School, Boston, MA, United States.

Melissa A Haendel (MA)

Center for Health Artificial Intelligence, University of Colorado Anschutz, Aurora, CO, United States.

Ingrid A Holm (IA)

Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, United States.
The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, United States.
Department of Pediatrics, Harvard Medical School, Boston, MA, United States.

Joseph Gonzalez-Heydrich (J)

The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, United States.
Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, United States.
Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, MA, United States.
Department of Psychiatry, Harvard Medical School, Boston, MA, United States.

Catherine A Brownstein (CA)

Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, United States.
The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, United States.
Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, MA, United States.
Department of Pediatrics, Harvard Medical School, Boston, MA, United States.

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