This 2-year project tackles a profoundly important but widely ignored problem: how should researchers handle incidental findings that have potential clinical significance, what should consent forms say about this, and how should IRBs consider the potential for incidental findings in their review of protocols. By """"""""incidental findings"""""""" we do not mean results on those variables of key interest in the research, but unexpected findings beyond the domain of focal research interest, such as a suspicious mass revealed in a functional MRI (fMRI) study, or an incidental finding of nonpaternity in genetic research on families. We will anchor our analysis by focusing on incidental findings in 4 research areas: (1) fMRI research, (2) CT colonography research, (3) genetic research on families, and (4) genomic microarray research. This project will have a normative and an empirical component. The normative work will focus on developing a consensus paper on how incidental findings should be managed by investigators and IRBs and model consent form language. This will be informed by collection and analysis of model consent forms and consent forms used by U.S. researchers in the 4 areas of study as posted on university, professional society, and governmental websites and on the World Wide Web. This project will be led by researchers in the University of Minnesota's Consortium on Law and Values in Health, Environment & the Life Sciences, collaborating with a senior empiricist expert in content analysis and a Working Group of prominent national scholars. Project outcomes will include: publication of the consensus recommendations and model consent form language, a conference presenting our conclusions plus papers on incidental findings management in the 4 targeted research areas and analysis of the legal implications of incidental findings, a published symposium in a prominent journal collecting these papers, and a website offering tools such as model consent form language and an annotated bibliography with web links.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project (R01)
Project #
5R01HG003178-02
Application #
7126441
Study Section
Special Emphasis Panel (ZRG1-HOP-E (50))
Program Officer
Mcewen, Jean
Project Start
2005-09-26
Project End
2007-07-31
Budget Start
2006-08-01
Budget End
2007-07-31
Support Year
2
Fiscal Year
2006
Total Cost
$286,867
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Type
Other Domestic Higher Education
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Krier, Joel B; Green, Robert C (2015) Management of Incidental Findings in Clinical Genomic Sequencing. Curr Protoc Hum Genet 87:9.23.1-16
Wolf, Susan M (2013) Return of results in genomic biobank research: ethics matters. Genet Med 15:157-9
Krier, Joel B; Green, Robert C (2013) Management of incidental findings in clinical genomic sequencing. Curr Protoc Hum Genet Chapter 9:Unit9.23
Green, Robert C; Lupski, James R; Biesecker, Leslie G (2013) Reporting genomic sequencing results to ordering clinicians: incidental, but not exceptional. JAMA 310:365-6
McGuire, Amy L; Joffe, Steven; Koenig, Barbara A et al. (2013) Point-counterpoint. Ethics and genomic incidental findings. Science 340:1047-8
Green, Robert C; Berg, Jonathan S; Grody, Wayne W et al. (2013) ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med 15:565-74
Kohane, Isaac S; Hsing, Michael; Kong, Sek Won (2012) Taxonomizing, sizing, and overcoming the incidentalome. Genet Med 14:399-404
Green, Robert C; Berg, Jonathan S; Berry, Gerard T et al. (2012) Exploring concordance and discordance for return of incidental findings from clinical sequencing. Genet Med 14:405-10
Wolf, Susan M; Crock, Brittney N; Van Ness, Brian et al. (2012) Managing incidental findings and research results in genomic research involving biobanks and archived data sets. Genet Med 14:361-84
Zawati, Ma'n H; Knoppers, Bartha Maria (2012) International normative perspectives on the return of individual research results and incidental findings in genomic biobanks. Genet Med 14:484-9

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