Evidence map›Paper›PMID 30374176›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Outcomes of 92 patient-driven family studies for reclassification of variants of uncertain significance.

Ginger J Tsai, John Michael O Rañola, Christina Smith, Lauren Thomas Garrett, Timothy Bergquist, Silvia Casadei, Deborah J Bowen, Brian H Shirts

Abstract read
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Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. The Tyrolean FounderBiomolecules · 2026
    Article
  2. Not Forgotten: Patient Experiences with Genetic Variant Reclassifications.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. A scalable approach to resolving variants of uncertain significance.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Application of clinical exome sequencing in sperm donor screening in China.Journal of assisted reproduction and genetics · 2025
    Article
  7. Article
  8. Prevalence of BRCA1 and BRCA2 mutations in ovarian cancer patients from Yunnan Province in southwest China.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. medRxiv : the preprint server for health sciences · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ginger J TsaiDepartment of Laboratory Medicine, University of Washington, Seattle, WA, USA.
John Michael O RañolaDepartment of Laboratory Medicine, University of Washington, Seattle, WA, USA.
Christina SmithDepartment of Laboratory Medicine, University of Washington, Seattle, WA, USA.
Lauren Thomas GarrettDepartment of Laboratory Medicine, University of Washington, Seattle, WA, USA.
Timothy BergquistDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
Silvia CasadeiDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA.
Deborah J BowenDepartment of Bioethics and Humanities, University of Washington, Seattle, WA, USA.
Brian H ShirtsDepartment of Laboratory Medicine, University of Washington, Seattle, WA, USA. shirtsb@uw.edu.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Developing and Evaluating Patient Centered Tools for Clinical Classification of Variants of Uncertain SignificanceR21HG008513 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHIRTS, BRIAN HANSON · 2015 to 2016
$386k
NCI NIH HHS P30 CA015704NHGRI NIH HHS R21 HG008513
6 · The paper itself

Abstract

purposeFamily studies are an important but underreported source of information for reclassification of variants of uncertain significance (VUS). We evaluated outcomes of a patient-driven framework that offered familial VUS reclassification analysis to any adult with any clinically ascertained VUS from any laboratory in the United States.

methodsWith guidance from FindMyVariant.org, participants recruited their own relatives for study participation. We genotyped relatives, calculated quantitative cosegregation likelihood ratios, and evaluated variant classifications using Tavtigian's unified framework for Bayesian analysis with American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) criteria. We report participation and VUS reclassification rates from the 50 families enrolled for at least one year and reclassification results for 112 variants from the larger 92-family cohort.

resultsFor the 50-family cohort, 6.7 relatives per family were invited to participate and 67% of relatives returned samples for genotyping. Sixty-one percent of VUS were reclassified, 84% of which were classified as benign or likely benign. Genotyping relatives identified a de novo variant, phase variants, and relatives with phenotypes highly specific for or incompatible with specific classifications.

conclusionsMotivated families can contribute to successful VUS reclassification at substantially higher rates than those previously published. Clinical laboratories could consider offering family studies to all patients with VUS.

Indexed as

AdultAgedAged, 80 and overBayes TheoremFamilyFemaleGenetic Predisposition to DiseaseGenetic TestingGenetic VariationGenomicsGenotypeGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansMaleMiddle Agedfamily studypatient-drivenvariant classificationvariant of uncertain significanceVOUS

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.