Targeted gene sequencing using large panels has become an increasingly important strategy for evaluating disease risk for many inherited diseases. Expanded gene panels are more sensitive than single gene testing and often more cost effective than sequential testing, leading to additional diagnostic and prevention opportunities. However, these panels also identify rare variants of uncertain clinical significance (VUS) in many patients. VUS typically have some characteristics or associated data indicating the variant may be deleterious, but not enough information to definitively classify them as disease causing. It is estimated that hundreds of thousands of such variants are present at low frequencies in the population. The finding of a VUS is problematic for patients and clinicians. Family segregation studies have the potential to yield powerful data to classify variants, but research resources are inadequate to enroll all the families affected by the exploding number of VUS identified in clinical testing. A potential solution to this quandary is to engage patients and their families in performing meaningful segregation analysis to evaluate their own VUS using available online genealogy and social networking tools facilitate identifying and contacting relatives likely to have the same VUS. In this project we will interview patients who have received clinical reports of VUS to explore patient understanding of their VUS, motivation and interest in classification, opinions of barriers and facilitators to talking with family members about VUS, and initial thoughts about potential for providing samples to classify their VUS. We will use input from 15-25 study participants to evaluate and improve an online patient-driven VUS classification toolkit that teaches individuals to better understand their VUS, use available genealogy and networking resources trace how their own variants segregate in their extended family, and potentially participate meaningfully with clinical experts in the classification of their own VUS. We will work with participants to obtain and test DNA from family members, and a molecular genetic pathologist will perform final variant classification. We will interview participants to determine if goals were met and if the toolkit enhanced participant and family understanding of genetic disease risk. We will also interview family members to understand family members perspectives related to privacy, communication, and provision of data or samples for variant classification. The innovative tools to classify VUS that will be developed in this project will meet a growing clinical need. When made broadly available these tools may demonstrate a way to characterize human variants in clinical settings at an unprecedented pace and at a fraction of the current research cost. The data gathered from this initial R21 project will lay the groundwork for additional development of a systematic, family-based method to help patients understand and classify variants of uncertain significance.

Public Health Relevance

Clinical genetic testing panels often identify rare variants of uncertain clinical significance (VUS) in many patients, which is problematic for patients and clinicians because these findings are confusing and not clinically actionable. We seek to evaluate and improve a patient-driven VUS classification toolkit that teaches individuals to better understand their VUS, use available genealogy and networking resources trace how their own variants segregate in their extended family, and potentially participate meaningfully with clinical experts in the classification of their own VUS. This project will build understanding of the ethical, social, and family issues surrounding a way to characterize human variants in clinical settings at an unprecedented pace and at a fraction of the current research cost.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21HG008513-02
Application #
9145750
Study Section
Societal and Ethical Issues in Research Study Section (SEIR)
Program Officer
Kaufman, Dave J
Project Start
2015-09-21
Project End
2017-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Washington
Department
Pathology
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Shirts, Brian H; Konnick, Eric Q; Upham, Sarah et al. (2018) Using Somatic Mutations from Tumors to Classify Variants in Mismatch Repair Genes. Am J Hum Genet 103:19-29
Makhnoon, Sukh; Shirts, Brian H; Bowen, Deborah J et al. (2018) Hereditary cancer gene panel test reports: wide heterogeneity suggests need for standardization. Genet Med 20:1438-1445
RaƱola, John Michael O; Liu, Quanhui; Rosenthal, Elisabeth A et al. (2018) A comparison of cosegregation analysis methods for the clinical setting. Fam Cancer 17:295-302
Tonelli, Mark R; Shirts, Brian H (2017) Knowledge for Precision Medicine: Mechanistic Reasoning and Methodological Pluralism. JAMA 318:1649-1650
Mather, Cheryl A; Mooney, Sean D; Salipante, Stephen J et al. (2016) CADD score has limited clinical validity for the identification of pathogenic variants in noncoding regions in a hereditary cancer panel. Genet Med 18:1269-1275
Garrett, Lauren T; Hickman, Nathan; Jacobson, Angela et al. (2016) Family Studies for Classification of Variants of Uncertain Classification: Current Laboratory Clinical Practice and a New Web-Based Educational Tool. J Genet Couns 25:1146-1156
Shirts, Brian H; Pritchard, Colin C; Walsh, Tom (2016) Family-Specific Variants and the Limits of Human Genetics. Trends Mol Med 22:925-934