Details

Autor(en) / Beteiligte

• Berg, Jonathan S.
• Adams, Michael
• Nassar, Nassib
• Bizon, Chris
• Lee, Kristy
• Schmitt, Charles P.
• Wilhelmsen, Kirk C.
• Evans, James P.

Titel

An informatics approach to analyzing the incidentalome

Ist Teil von

• Genetics in medicine, 2013-01, Vol.15 (1), p.36-44

Ort / Verlag

New York: Nature Publishing Group US

Erscheinungsjahr

2013

Quelle

MEDLINE

Beschreibungen/Notizen

• Purpose: Next-generation sequencing has transformed genetic research and is poised to revolutionize clinical diagnosis. However, the vast amount of data and inevitable discovery of incidental findings require novel analytic approaches. We therefore implemented for the first time a strategy that utilizes an a priori structured framework and a conservative threshold for selecting clinically relevant incidental findings. Methods: We categorized 2,016 genes linked with Mendelian diseases into “bins” based on clinical utility and validity, and used a computational algorithm to analyze 80 whole-genome sequences in order to explore the use of such an approach in a simulated real-world setting. Results: The algorithm effectively reduced the number of variants requiring human review and identified incidental variants with likely clinical relevance. Incorporation of the Human Gene Mutation Database improved the yield for missense mutations but also revealed that a substantial proportion of purported disease-causing mutations were misleading. Conclusion: This approach is adaptable to any clinically relevant bin structure, scalable to the demands of a clinical laboratory workflow, and flexible with respect to advances in genomics. We anticipate that application of this strategy will facilitate pretest informed consent, laboratory analysis, and posttest return of results in a clinical context. Genet Med 2013:15(1):36–44