Literature DB >> 34012070

Privacy practices using genetic data from cell-free DNA aneuploidy screening.

Christian M Parobek1, Melissa L Russo2, Adam K Lewkowitz2.   

Abstract

PURPOSE: Cell-free fetal DNA (cfDNA) analyzes maternal and fetoplacental DNA, generating highly personal genetic information for both mother and fetus. This study aimed to determine how laboratories retain, use, and share genetic information from cfDNA. Other outcomes included laboratories' adherence to American Society of Human Genetics (ASHG) privacy principles, and the readability of privacy policies.
METHODS: Laboratories offering cfDNA aneuploidy screening were identified from online searches, curated databases, and a genomics news website. Of 124 laboratories identified, 13 were commercial laboratories offering cfDNA aneuploidy screening in the United States, and were included. Genetic privacy policies from eligible laboratories were identified by reviewing requisition and consent forms, which were obtained online or by direct contact.
RESULTS: Most laboratories use prenatal genetic information for research (n = 10, 77%), and more than half (n = 7, 54%) shared genetic information with others. Overall, laboratories inadequately disclosed privacy risks. In a readability analysis, 9 of 11 (82%) laboratories' genetic privacy policies were written at or above a 12th grade reading level.
CONCLUSION: Most laboratories allowed for prolonged use and sharing of cfDNA data, demonstrated incomplete adherence to ASHG privacy recommendations, and provided consents written in college-level language. Laboratories should revise their consent forms, and providers should help patients understand these forms.
© 2021. The Author(s), under exclusive licence to the American College of Medical Genetics and Genomics.

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Year:  2021        PMID: 34012070     DOI: 10.1038/s41436-021-01205-x

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


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Authors:  Eugene Pergament; Howard Cuckle; Bernhard Zimmermann; Milena Banjevic; Styrmir Sigurjonsson; Allison Ryan; Megan P Hall; Michael Dodd; Phil Lacroute; Melissa Stosic; Nikhil Chopra; Nathan Hunkapiller; Dennis E Prosen; Sallie McAdoo; Zachary Demko; Asim Siddiqui; Matthew Hill; Matthew Rabinowitz
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3.  Identity inference of genomic data using long-range familial searches.

Authors:  Yaniv Erlich; Tal Shor; Itsik Pe'er; Shai Carmi
Journal:  Science       Date:  2018-10-11       Impact factor: 47.728

  3 in total
  1 in total

1.  Video education about genetic privacy and patient perspectives about sharing prenatal genetic data: a randomized trial.

Authors:  Christian M Parobek; Margaret M Thorsen; Phinnara Has; Paula Lorenzi; Melissa A Clark; Melissa L Russo; Adam K Lewkowitz
Journal:  Am J Obstet Gynecol       Date:  2022-03-26       Impact factor: 10.693

  1 in total

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