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Genomic variant sharing: a position statement

Genomic variant sharing: a position statement
Genomic variant sharing: a position statement

Sharing de-identified genetic variant data is essential for the practice of genomic medicine and is demonstrably beneficial to patients. Robust genetic diagnoses that inform medical management cannot be made accurately without reference to genetic test results from other patients, as well as population controls. Errors in this process can result in delayed, missed or erroneous diagnoses, leading to inappropriate or missed medical interventions for the patient and their family. The benefits of sharing individual genetic variants, and the harms of not sharing them, are numerous and well-established. Databases and mechanisms already exist to facilitate deposition and sharing of pseudonomised genetic variants, but clarity and transparency around best practice is needed to encourage widespread use, prevent inconsistencies between different communities, maximise individual privacy and ensure public trust. We therefore recommend that widespread sharing of a small number of individual genetic variants associated with limited clinical information should become standard practice in genomic medicine. Information robustly linking genetic variants with specific conditions is fundamental biological knowledge, not personal information, and therefore should not require consent to share. For additional case-level detail about individual patients or more extensive genomic information, which is often essential for clinical interpretation, it may be more appropriate to use a controlled-access model for data sharing, with the ultimate aim of making as much information as open and de-identified as possible with appropriate consent.

2398-502X
1-23
Wright, Caroline F.
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Ware, James S.
6e99bb22-caf5-489e-aa0a-27c1423a671e
Lucassen, Anneke M.
2eb85efc-c6e8-4c3f-b963-0290f6c038a5
Hall, Alison
cf89c7f3-9fd5-4df7-a2a3-454841b717f8
Middleton, Anna
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Rahman, Nazneen
d5eded76-0af9-4d72-8fea-84986bf49c51
Ellard, Sian
6c9b0ede-8980-4602-b063-444b165baa09
Firth, Helen V.
68d49660-2394-45e2-a690-c6583c4590dd
Wright, Caroline F.
6f412b29-a2c4-421f-b5b6-5c110239e76c
Ware, James S.
6e99bb22-caf5-489e-aa0a-27c1423a671e
Lucassen, Anneke M.
2eb85efc-c6e8-4c3f-b963-0290f6c038a5
Hall, Alison
cf89c7f3-9fd5-4df7-a2a3-454841b717f8
Middleton, Anna
8cbe11b6-d21e-4a3b-b809-cedc5d78c6dd
Rahman, Nazneen
d5eded76-0af9-4d72-8fea-84986bf49c51
Ellard, Sian
6c9b0ede-8980-4602-b063-444b165baa09
Firth, Helen V.
68d49660-2394-45e2-a690-c6583c4590dd

Wright, Caroline F., Ware, James S., Lucassen, Anneke M., Hall, Alison, Middleton, Anna, Rahman, Nazneen, Ellard, Sian and Firth, Helen V. (2019) Genomic variant sharing: a position statement. Wellcome Open Research, 4 (22), 1-23. (doi:10.12688/wellcomeopenres.15090.1).

Record type: Article

Abstract

Sharing de-identified genetic variant data is essential for the practice of genomic medicine and is demonstrably beneficial to patients. Robust genetic diagnoses that inform medical management cannot be made accurately without reference to genetic test results from other patients, as well as population controls. Errors in this process can result in delayed, missed or erroneous diagnoses, leading to inappropriate or missed medical interventions for the patient and their family. The benefits of sharing individual genetic variants, and the harms of not sharing them, are numerous and well-established. Databases and mechanisms already exist to facilitate deposition and sharing of pseudonomised genetic variants, but clarity and transparency around best practice is needed to encourage widespread use, prevent inconsistencies between different communities, maximise individual privacy and ensure public trust. We therefore recommend that widespread sharing of a small number of individual genetic variants associated with limited clinical information should become standard practice in genomic medicine. Information robustly linking genetic variants with specific conditions is fundamental biological knowledge, not personal information, and therefore should not require consent to share. For additional case-level detail about individual patients or more extensive genomic information, which is often essential for clinical interpretation, it may be more appropriate to use a controlled-access model for data sharing, with the ultimate aim of making as much information as open and de-identified as possible with appropriate consent.

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e-pub ahead of print date: 5 February 2019
Published date: 4 December 2019

Identifiers

Local EPrints ID: 437293
URI: http://eprints.soton.ac.uk/id/eprint/437293
ISSN: 2398-502X
PURE UUID: e04a5e0d-b95e-4468-a953-35625d63058e
ORCID for Anneke M. Lucassen: ORCID iD orcid.org/0000-0003-3324-4338

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Date deposited: 23 Jan 2020 17:35
Last modified: 17 Mar 2024 02:54

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Contributors

Author: Caroline F. Wright
Author: James S. Ware
Author: Alison Hall
Author: Anna Middleton
Author: Nazneen Rahman
Author: Sian Ellard
Author: Helen V. Firth

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