TY - JOUR
T1 - Future-proofing genomic data and consent management
T2 - a comprehensive review of technology innovations
AU - Oliva, Adrien
AU - Kaphle, Anubhav
AU - Reguant, Roc
AU - Sng, Letitia M. F.
AU - Twine, Natalie A.
AU - Malakar, Yuwan
AU - Wickramarachchi, Anuradha
AU - Keller, Marcel
AU - Ranbaduge, Thilina
AU - Chan, Eva K.F.
AU - Breen, James
AU - Buckberry, Sam
AU - Guennewig, Boris
AU - Haas, Matilda
AU - Brown, Alex
AU - Cowley, Mark J.
AU - Thorne, Natalie
AU - Jain, Yatish
AU - Bauer, Denis C.
N1 - Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2024
Y1 - 2024
N2 - Genomic information is increasingly used to inform medical treatments and manage future disease risks. However, any personal and societal gains must be carefully balanced against the risk to individuals contributing their genomic data. Expanding our understanding of actionable genomic insights requires researchers to access large global datasets to capture the complexity of genomic contribution to diseases. Similarly, clinicians need efficient access to a patient’s genome as well as population-representative historical records for evidence-based decisions. Both researchers and clinicians hence rely on participants to consent to the use of their genomic data, which in turn requires trust in the professional and ethical handling of this information. Here, we review existing and emerging solutions for secure and effective genomic information management, including storage, encryption, consent, and authorization that are needed to build participant trust. We discuss recent innovations in cloud computing, quantum-computing-proof encryption, and self-sovereign identity. These innovations can augment key developments from within the genomics community, notably GA4GH Passports and the Crypt4GH file container standard. We also explore how decentralized storage as well as the digital consenting process can offer culturally acceptable processes to encourage data contributions from ethnic minorities. We conclude that the individual and their right for self-determination needs to be put at the center of any genomics framework, because only on an individual level can the received benefits be accurately balanced against the risk of exposing private information.
AB - Genomic information is increasingly used to inform medical treatments and manage future disease risks. However, any personal and societal gains must be carefully balanced against the risk to individuals contributing their genomic data. Expanding our understanding of actionable genomic insights requires researchers to access large global datasets to capture the complexity of genomic contribution to diseases. Similarly, clinicians need efficient access to a patient’s genome as well as population-representative historical records for evidence-based decisions. Both researchers and clinicians hence rely on participants to consent to the use of their genomic data, which in turn requires trust in the professional and ethical handling of this information. Here, we review existing and emerging solutions for secure and effective genomic information management, including storage, encryption, consent, and authorization that are needed to build participant trust. We discuss recent innovations in cloud computing, quantum-computing-proof encryption, and self-sovereign identity. These innovations can augment key developments from within the genomics community, notably GA4GH Passports and the Crypt4GH file container standard. We also explore how decentralized storage as well as the digital consenting process can offer culturally acceptable processes to encourage data contributions from ethnic minorities. We conclude that the individual and their right for self-determination needs to be put at the center of any genomics framework, because only on an individual level can the received benefits be accurately balanced against the risk of exposing private information.
KW - decentralized systems
KW - dynamic consent
KW - genome data privacy
KW - self-sovereign identity
KW - trust model
UR - http://www.scopus.com/inward/record.url?scp=85195347350&partnerID=8YFLogxK
U2 - 10.1093/gigascience/giae021
DO - 10.1093/gigascience/giae021
M3 - Review article
C2 - 38837943
AN - SCOPUS:85195347350
SN - 2047-217X
VL - 13
SP - 1
EP - 16
JO - GigaScience
JF - GigaScience
M1 - giae021
ER -