2018
DOI: 10.1002/humu.23633
|View full text |Cite
|
Sign up to set email alerts
|

ClinGen's GenomeConnect registry enables patient‐centered data sharing

Abstract: GenomeConnect, the NIH-funded Clinical Genome Resource (ClinGen) patient registry, engages patients in data sharing to support the goal of creating a genomic knowledge base to inform clinical care and research. Participant self-reported health information and genomic variants from genetic testing reports are curated and shared with public databases, such as ClinVar. There are four primary benefits of GenomeConnect: 1) sharing novel genomic data - 47.9% of variants were new to ClinVar, highlighting patients as … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
30
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 30 publications
(34 citation statements)
references
References 18 publications
0
30
0
Order By: Relevance
“…Implementation science approaches are needed to identify the most effective methods and strategies for facilitating the use of evidence-based genomic applications, most notably pharmacogenomics-based selection of medications 90 , in routine clinical care. New experimental designs, such as genotype-specific participant recruitment 91 or integration of patient-provided genomic data 92 (captured during previous healthcare encounters or from DTC sources), should be explored for their potential to speed adoption and limit costs. The effectiveness of centralized resources for genomic referrals (for example, genomic medicine specialists, consult services 93,94 , and centres of excellence in undiagnosed diseases-akin to transplantation centres or cancer centres) should be explored as potential steppingstones to the more generalized uptake of genomics in clinical care.…”
Section: Implementation Sciencementioning
confidence: 99%
“…Implementation science approaches are needed to identify the most effective methods and strategies for facilitating the use of evidence-based genomic applications, most notably pharmacogenomics-based selection of medications 90 , in routine clinical care. New experimental designs, such as genotype-specific participant recruitment 91 or integration of patient-provided genomic data 92 (captured during previous healthcare encounters or from DTC sources), should be explored for their potential to speed adoption and limit costs. The effectiveness of centralized resources for genomic referrals (for example, genomic medicine specialists, consult services 93,94 , and centres of excellence in undiagnosed diseases-akin to transplantation centres or cancer centres) should be explored as potential steppingstones to the more generalized uptake of genomics in clinical care.…”
Section: Implementation Sciencementioning
confidence: 99%
“…To assess the performance of GeneTerpret, we did a performance assessment in two ways. First, we used two well-established external resources (ClinGen database 17,18 for testing clinical validity modules and DECIPHER database 19 for testing the variant pathogenicity module independently), and secondly, our expert-interpreted internal datasets composed on a Tetralogy of Fallot (TOF) cohort 20 and Cardiac Genome Clinic (CGC) families 21 .…”
Section: Geneterpret Performance Assessmentmentioning
confidence: 99%
“…A potentially powerful approach to understanding the complex phenotypic spectrum of 16p13.11 microduplication syndrome is to collect phenotypic data from patients themselves (or their caregivers), as they experience the symptoms and effects of their condition. GenomeConnect, the National Institutes of Health-funded Clinical Genome Resource (ClinGen) patient registry, developed a patient self-phenotyping survey, which asks patient-friendly questions that have been mapped to a set of high-level human phenotype ontology (HPO) terms [9][10][11]. HPO is a standardized vocabulary of phenotypic abnormalities encountered in human disease, whereby symptoms and characteristic phenotypic findings (a phenotypic profile) are captured using a logically constructed hierarchy of phenotypic terms [12,13].…”
Section: Introductionmentioning
confidence: 99%