Legal aspects of privacy-enhancing technologies in genome-wide association studies and their impact on performance and feasibility

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Legal aspects of privacy-enhancing technologies in genome-wide association studies and their impact on performance and feasibility. / Brauneck, Alissa; Schmalhorst, Louisa; Weiss, Stefan; Baumbach, Linda; Völker, Uwe; Ellinghaus, David; Baumbach, Jan; Buchholtz, Gabriele.

In: GENOME BIOL, Vol. 25, No. 1, 13.06.2024, p. 154.

Research output: SCORING: Contribution to journalSCORING: Review articleResearch

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@article{910dd31aaddc4696a272fa84265772e4,
title = "Legal aspects of privacy-enhancing technologies in genome-wide association studies and their impact on performance and feasibility",
abstract = "Genomic data holds huge potential for medical progress but requires strict safety measures due to its sensitive nature to comply with data protection laws. This conflict is especially pronounced in genome-wide association studies (GWAS) which rely on vast amounts of genomic data to improve medical diagnoses. To ensure both their benefits and sufficient data security, we propose a federated approach in combination with privacy-enhancing technologies utilising the findings from a systematic review on federated learning and legal regulations in general and applying these to GWAS.",
author = "Alissa Brauneck and Louisa Schmalhorst and Stefan Weiss and Linda Baumbach and Uwe V{\"o}lker and David Ellinghaus and Jan Baumbach and Gabriele Buchholtz",
year = "2024",
month = jun,
day = "13",
doi = "10.1186/s13059-024-03296-6",
language = "English",
volume = "25",
pages = "154",
journal = "GENOME BIOL",
issn = "1474-760X",
number = "1",

}

RIS

TY - JOUR

T1 - Legal aspects of privacy-enhancing technologies in genome-wide association studies and their impact on performance and feasibility

AU - Brauneck, Alissa

AU - Schmalhorst, Louisa

AU - Weiss, Stefan

AU - Baumbach, Linda

AU - Völker, Uwe

AU - Ellinghaus, David

AU - Baumbach, Jan

AU - Buchholtz, Gabriele

PY - 2024/6/13

Y1 - 2024/6/13

N2 - Genomic data holds huge potential for medical progress but requires strict safety measures due to its sensitive nature to comply with data protection laws. This conflict is especially pronounced in genome-wide association studies (GWAS) which rely on vast amounts of genomic data to improve medical diagnoses. To ensure both their benefits and sufficient data security, we propose a federated approach in combination with privacy-enhancing technologies utilising the findings from a systematic review on federated learning and legal regulations in general and applying these to GWAS.

AB - Genomic data holds huge potential for medical progress but requires strict safety measures due to its sensitive nature to comply with data protection laws. This conflict is especially pronounced in genome-wide association studies (GWAS) which rely on vast amounts of genomic data to improve medical diagnoses. To ensure both their benefits and sufficient data security, we propose a federated approach in combination with privacy-enhancing technologies utilising the findings from a systematic review on federated learning and legal regulations in general and applying these to GWAS.

U2 - 10.1186/s13059-024-03296-6

DO - 10.1186/s13059-024-03296-6

M3 - SCORING: Review article

C2 - 38872191

VL - 25

SP - 154

JO - GENOME BIOL

JF - GENOME BIOL

SN - 1474-760X

IS - 1

ER -