Actionable, Pathogenic Incidental Findings in 1,000 Participants’ Exomes
Open accessAbstract
The incorporation of genomics into medicine is stimulating interest on the return of incidental findings (IFs) from exome and genome sequencing. However, no large-scale study has yet estimated the number of expected actionable findings per individual; therefore, we classified actionable pathogenic single-nucleotide variants in 500 European- and 500 African-descent participants randomly selected from the National Heart, Lung, and Blood Institute Exome Sequencing Project. The 1,000 individuals were screened for variants in 114 genes selected by an expert panel for their association with medically actionable genetic conditions possibly undiagnosed in adults. Among the 1,000 participants, 585 instances of 239 unique variants were identified as disease causing in the Human Gene Mutation Database (HGMD). The primary literature supporting the variants' pathogenicity was reviewed. Of the identified IFs, only 16 unique autosomal-dominant variants in 17 individuals were assessed to be pathogenic or likely pathogenic, and one participant had two pathogenic variants for an autosomal-recessive disease. Furthermore, one pathogenic and four likely pathogenic variants not listed as disease causing in HGMD were identified. These data can provide an estimate of the frequency (∼3.4% for European descent and ∼1.2% for African descent) of the high-penetrance actionable pathogenic or likely pathogenic variants in adults. The 23 participants with pathogenic or likely pathogenic variants were dispro…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
One recent study found that several third-party interpretation companies operate by querying publicly available databases, such as dbSNP, and reporting the classification provided in the database, despite reports that the majority of classifications in some publicly available databases are incorrect.
“One recent study on such third-party companies found that several operate by querying publicly available databases, such as dbSNP, and reporting the classification provided in the database, despite reports that the majority of classifications in some publicly available databases are incorrect.6,7”
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 26 · Cited by 385
- Authors
- Dorschner, M. O., Amendola, L. M., Turner, E. H., Robertson, P. D., Shirts, B. H., Gallego, C. J., Bennett, R. L., Jones, K. L., Tokita, M. J., Bennett, J. T., Kim, J. H., Rosenthal, E. A., Kim, D. S., Tabor, H. K., Bamshad, M. J., Motulsky, A. G., Scott, C. R., Pritchard, C. C., Walsh, T., Burke, W., Raskind, W. H., Byers, P., Hisama, F. M., Nickerson, D. A., & Jarvik, G. P.
- Affiliations
- University of Washington (US)
- Corresponding author
- Jarvik, Gail P.
- ORCID
- Amendola, Laura M.
- Turner, Emily H.
- Shirts, Brian H.
- Gallego, Carlos J.
- Bennett, Robin L.
- Jones, Kelly L.
- Bennett, James T.
- Rosenthal, Elisabeth A.
- Kim, Daniel S.
- Tabor, Holly K.
- Bamshad, Michael J.
- Scott, C. Ronald
- Walsh, Tom
- Burke, Wylie
- Raskind, Wendy H.
- Byers, Peter
- Hisama, Fuki M.
- Nickerson, Deborah A.
- Jarvik, Gail P.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 93
- Issue
- 4
- Pages
- 631-640
- ISSN
- 0002-9297 (ISSN-L)
- PMC
- PMC3791261
- OpenAlex
- W2072931688
- Cited by
- 385
- References
- 26
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 13 · 2023: 9 · 2022: 13 · 2021: 23 · 2020: 26 · 2019: 29 · 2018: 46 · 2017: 38 · 2016: 42 · 2015: 60 · 2014: 61 · 2013: 2
- FWCI
- 36.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The American Journal of Human Genetics (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Washington State University
- National Institutes of Health (1rc2hl103010-01)
- National Heart, Lung, and Blood Institute (RC2HL102925, RC2HL102926, RC2HL102923, RC2HL-103010, RC2HL102924)
- National Human Genome Research Institute (U01HG007307, U01HG006507, U01HG006375)
- National Cancer Institute (R01CA175716)
- National Institute of General Medical Sciences (T32GM007454)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Keywords
- incidental finding, actionable genetic variants, pathogenic variants, single nucleotide variants, exome sequencing, variant pathogenicity classification, autosomal dominant disorder, autosomal recessive disorder, HGMD
- MeSH terms
- Disease, Gene Frequency, Humans, Penetrance, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Databases, Genetic, Incidental Findings, Exome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review