Rapid re-identification of human samples using portable DNA sequencing

Author:

Zaaijer Sophie12ORCID,Gordon Assaf2,Speyer Daniel12,Piccone Robert3,Groen Simon Cornelis4ORCID,Erlich Yaniv125ORCID

Affiliation:

1. Department of Computer Science, New York Genome Center, New York, United States

2. New York Genome Center, New York, United States

3. Data Science Institute, Columbia University, New York, United States

4. Department of Biology, Center for Genomics and Systems Biology, New York University, New York, United States

5. Department of Computer Science, Fu Foundation School of Engineering, Columbia University, New York, United States

Abstract

DNA re-identification is used for a broad suite of applications, ranging from cell line authentication to forensics. However, current re-identification schemes suffer from high latency and limited access. Here, we describe a rapid, inexpensive, and portable strategy to robustly re-identify human DNA called 'MinION sketching'. MinION sketching requires as few as 3 min of sequencing and 60-300 random SNPs to re-identify a sample enabling near real-time applications of DNA re-identification. Our method capitalizes on the rapidly growing availability of genomic reference data for cell lines, tissues in biobanks, and individuals. This empowers the application of MinION sketching in research and clinical settings for periodic cell line and tissue authentication. Importantly, our method enables considerably faster and more robust cell line authentication relative to current practices and could help to minimize the amount of irreproducible research caused by mix-ups and contamination in human cell and tissue cultures.

Funder

Burroughs Wellcome Fund

National Institute of Justice

Andria and Paul Heafy

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference32 articles.

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3. Reproducibility and reliability of biomedical research: improving research practice;AMS,2015

4. Authentication of human cell lines: Standardization of STR profiling;ATCC,2011

5. The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity;Barretina;Nature,2012

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