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| ID | Type | Description | Link |
|---|---|---|---|
| U01HG006379 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institutes of Health (NIH) | NIH |
| National Human Genome Research Institute (NHGRI) | NIH |
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This is a genomic implementation project with ancillary studies to understand the impact on patients' health and well-being of returning genomic results to them and depositing those results in the medical record.
Study participant DNA samples will be sequenced for 109 genes of interest along with genotyping of select polymorphisms. Genetic tests will be performed in a Clinical Laboratory Improvement Amendments (CLIA) certified lab (Baylor Human Genome Sequencing Laboratory). Selected results (pathogenic/likely pathogenic) will be returned to participants by a genetic counselor and deposited into the Electronic Health Record (EHR).
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| Measure | Description | Time Frame |
|---|---|---|
| Participant utilization of clinical resources following the return of medically actionable genetic variants. | The EHR of study participants will be periodically reviewed beginning 6 months following the disclosure of results. EHR documented utilization of clinical resources by participants (e.g. lipid profile for cholesterol measurement, mammogram, colonoscopy, prophylactic surgery, etc.) will be reviewed to assess whether the disclosure of actionable genetic findings led to initiation of medical therapy or ordering of additional tests. Data will be manually abstracted into condition-specific REDCap questionnaires which are harmonized across multiple eMERGE Network sites. | Feb 2016-June 2020 |
| Measure | Description | Time Frame |
|---|---|---|
| The number of new cases detected as a result of cascade screening in the family members | This outcome is being assessed as a supplemental study that includes patients with definite, probable and possible Familial Hypercholesterolemia (FH). We will compare the yield of cascade screening in FH patients with and without an identifiable pathogenic variant. We will enroll 50 patients with definite FH by recruiting an additional 25 from the FH Clinic at Mayo and 50 patients each with probable and possible FH, matching on age and sex. Family members of patients with definite FH will undergo testing for the relevant pathogenic variant using saliva kits and family members of those with probable/possible FH will have a lipid profile checked. We will assess the number of new cases detected (defined as presence of a pathogenic variant in the family member of definite FH patient or LDL-C >155 mg/dL (>130 mg/dL in children) in family members of probable/possible FH patients, and the cost of detecting a new case. |
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Inclusion Criteria:
Exclusion Criteria:
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We recruited 3030 participants from Mayo Clinic biobanks in Rochester, MN, who had hypercholesterolemia, colon polyps or both, thereby enriching for FH.
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22481132 | Background | Kaphingst KA, McBride CM, Wade C, Alford SH, Reid R, Larson E, Baxevanis AD, Brody LC. Patients' understanding of and responses to multiplex genetic susceptibility test results. Genet Med. 2012 Jul;14(7):681-7. doi: 10.1038/gim.2012.22. | |
| 12926578 | Background | Brehaut JC, O'Connor AM, Wood TJ, Hack TF, Siminoff L, Gordon E, Feldman-Stewart D. Validation of a decision regret scale. Med Decis Making. 2003 Jul-Aug;23(4):281-92. doi: 10.1177/0272989X03256005. |
| Label | URL |
|---|---|
| Mayo Clinic Clinical Trials | View source |
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| ID | Term |
|---|---|
| D006938 | Hyperlipoproteinemia Type II |
| ID | Term |
|---|---|
| D008052 | Lipid Metabolism, Inborn Errors |
| D008661 | Metabolism, Inborn Errors |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
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DNA obtained from blood samples in the primary cohort and from saliva in family members.
| Feb 2017- Dec 2020 |
| Total Expense due to disclosure of actionable variants | The EHR will be periodically reviewed after disclosure of results to assess whether the disclosure led to initiation of medical therapy or ordering of additional tests. Measured in U.S. dollars. | 4 years |
| Participant intent-to-share genetic test results | Participants are offered pre-and-post-counseling questionnaires, provide pedigree information, and family member contact information. Questionnaires include measures of intent-to-share and barriers to sharing genetic results. | Sept 2017-June 2020 |
| Number of first-degree relatives per proband and number of contacted first-degree relatives per proband | The number of first-degree relatives will be assessed using patient-provided family history information. The number of contacted family members will be assessed by measuring family member response to participant contact materials. | Sept 2017-Dec 2020 |
| Family member uptake of genetic testing | Family member respondents who provide consent will be offered genetic testing. The uptake of genetic testing will be documented for each family member. | Sept 2017- Dec 2020 |
| 15757934 | Background | Zick CD, Mathews CJ, Roberts JS, Cook-Deegan R, Pokorski RJ, Green RC. Genetic testing for Alzheimer's disease and its impact on insurance purchasing behavior. Health Aff (Millwood). 2005 Mar-Apr;24(2):483-90. doi: 10.1377/hlthaff.24.2.483. |
| 21139091 | Background | Dunlay SM, Shah ND, Shi Q, Morlan B, VanHouten H, Long KH, Roger VL. Lifetime costs of medical care after heart failure diagnosis. Circ Cardiovasc Qual Outcomes. 2011 Jan 1;4(1):68-75. doi: 10.1161/CIRCOUTCOMES.110.957225. Epub 2010 Dec 7. |
| 9566466 | Background | Lipscomb J, Ancukiewicz M, Parmigiani G, Hasselblad V, Samsa G, Matchar DB. Predicting the cost of illness: a comparison of alternative models applied to stroke. Med Decis Making. 1998 Apr-Jun;18(2 Suppl):S39-56. doi: 10.1177/0272989X98018002S07. |
| 17609674 | Background | Gaff CL, Clarke AJ, Atkinson P, Sivell S, Elwyn G, Iredale R, Thornton H, Dundon J, Shaw C, Edwards A. Process and outcome in communication of genetic information within families: a systematic review. Eur J Hum Genet. 2007 Oct;15(10):999-1011. doi: 10.1038/sj.ejhg.5201883. Epub 2007 Jul 4. |
| 11807889 | Background | Hughes C, Lerman C, Schwartz M, Peshkin BN, Wenzel L, Narod S, Corio C, Tercyak KP, Hanna D, Isaacs C, Main D. All in the family: evaluation of the process and content of sisters' communication about BRCA1 and BRCA2 genetic test results. Am J Med Genet. 2002 Jan 15;107(2):143-50. doi: 10.1002/ajmg.10110. |
| 19913121 | Background | Talmud PJ, Drenos F, Shah S, Shah T, Palmen J, Verzilli C, Gaunt TR, Pallas J, Lovering R, Li K, Casas JP, Sofat R, Kumari M, Rodriguez S, Johnson T, Newhouse SJ, Dominiczak A, Samani NJ, Caulfield M, Sever P, Stanton A, Shields DC, Padmanabhan S, Melander O, Hastie C, Delles C, Ebrahim S, Marmot MG, Smith GD, Lawlor DA, Munroe PB, Day IN, Kivimaki M, Whittaker J, Humphries SE, Hingorani AD; ASCOT investigators; NORDIL investigators; BRIGHT Consortium. Gene-centric association signals for lipids and apolipoproteins identified via the HumanCVD BeadChip. Am J Hum Genet. 2009 Nov;85(5):628-42. doi: 10.1016/j.ajhg.2009.10.014. |
| 25414277 | Background | Futema M, Shah S, Cooper JA, Li K, Whittall RA, Sharifi M, Goldberg O, Drogari E, Mollaki V, Wiegman A, Defesche J, D'Agostino MN, D'Angelo A, Rubba P, Fortunato G, Walus-Miarka M, Hegele RA, Aderayo Bamimore M, Durst R, Leitersdorf E, Mulder MT, Roeters van Lennep JE, Sijbrands EJ, Whittaker JC, Talmud PJ, Humphries SE. Refinement of variant selection for the LDL cholesterol genetic risk score in the diagnosis of the polygenic form of clinical familial hypercholesterolemia and replication in samples from 6 countries. Clin Chem. 2015 Jan;61(1):231-8. doi: 10.1373/clinchem.2014.231365. Epub 2014 Nov 20. |
| 36173399 | Derived | Miller AA, Bangash H, Smith CY, Wood-Wentz CM, Bailey KR, Kullo IJ. A pragmatic clinical trial of cascade testing for familial hypercholesterolemia. Genet Med. 2022 Dec;24(12):2535-2543. doi: 10.1016/j.gim.2022.08.026. Epub 2022 Sep 29. |
| D006951 | Hyperlipoproteinemias |
| D006949 | Hyperlipidemias |
| D050171 | Dyslipidemias |
| D052439 | Lipid Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |