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

J Mol Diagn. 2019 Jul;21(4):542-552. doi: 10.1016/j.jmoldx.2018.07.009. Epub 2019 Jan 28.

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.

Publication types

  • Review

MeSH terms

  • Cloud Computing / ethics
  • Cloud Computing / standards*
  • Databases, Genetic
  • Genetic Privacy*
  • Genome, Human*
  • Genomics* / ethics
  • Genomics* / methods
  • Genomics* / standards
  • Government Regulation
  • Health Information Management / ethics
  • Health Information Management / legislation & jurisprudence
  • Health Information Management / methods
  • Health Information Management / standards
  • Health Policy
  • Humans
  • Research