Literature DB >> 30703562

Considerations for Genomic Data Privacy and Security when Working in the Cloud.

Alexis B Carter1.   

Abstract

Next-generation sequencing produces large amounts of data. The complexity and data management issues associated with next-generation sequencing have led many laboratories to turn to cloud services, especially when internal information technology infrastructure is inadequate to support data requirements. In addition, public cloud repositories of variants are being increasingly utilized, and their data sets are being populated through crowdsourcing submissions of human genetic variation identified within laboratories. The purpose of this review is to describe the challenges of managing genomic data in the cloud and to discuss potential strategies to surmount these challenges in a compliant manner. The definitions and advantages of cloud systems are outlined. Special regulatory considerations for laboratories are included, and strategies for compliance in the US regulatory environment for genetic information in clinical patient care as well as in research and public databases are also discussed.
Copyright © 2019 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30703562     DOI: 10.1016/j.jmoldx.2018.07.009

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  5 in total

1.  Evaluation of Commercial Next-Generation Sequencing Bioinformatics Software Solutions.

Authors:  Rama R Gullapalli
Journal:  J Mol Diagn       Date:  2019-11-18       Impact factor: 5.568

2.  Lessons learned and recommendations for data coordination in collaborative research: The CSER consortium experience.

Authors:  Kathleen D Muenzen; Laura M Amendola; Tia L Kauffman; Kathleen F Mittendorf; Jeannette T Bensen; Flavia Chen; Richard Green; Bradford C Powell; Mark Kvale; Frank Angelo; Laura Farnan; Stephanie M Fullerton; Jill O Robinson; Tianran Li; Priyanka Murali; James M J Lawlor; Jeffrey Ou; Lucia A Hindorff; Gail P Jarvik; David R Crosslin
Journal:  HGG Adv       Date:  2022-05-20

3.  Practical estimation of cloud storage costs for clinical genomic data.

Authors:  Niklas Krumm; Noah Hoffman
Journal:  Pract Lab Med       Date:  2020-05-15

4.  iDASH secure genome analysis competition 2018: blockchain genomic data access logging, homomorphic encryption on GWAS, and DNA segment searching.

Authors:  Tsung-Ting Kuo; Xiaoqian Jiang; Haixu Tang; XiaoFeng Wang; Tyler Bath; Diyue Bu; Lei Wang; Arif Harmanci; Shaojie Zhang; Degui Zhi; Heidi J Sofia; Lucila Ohno-Machado
Journal:  BMC Med Genomics       Date:  2020-07-21       Impact factor: 3.063

Review 5.  DNA methylation data by sequencing: experimental approaches and recommendations for tools and pipelines for data analysis.

Authors:  Ieva Rauluseviciute; Finn Drabløs; Morten Beck Rye
Journal:  Clin Epigenetics       Date:  2019-12-12       Impact factor: 6.551

  5 in total

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