Evidence map›Paper›PMID 36550560›Full record

ArticleGenome biology2022

Saturation-scale functional evidence supports clinical variant interpretation in Lynch syndrome.

Anthony Scott, Felicia Hernandez, Adam Chamberlin, Cathy Smith, Rachid Karam, Jacob O Kitzman

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
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

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. A scalable approach to resolving variants of uncertain significance.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Review
  5. A novel frameshift variant inFrontiers in medicine · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Comprehensively Testing the Function of Missense Variation in thebioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Multiplex, multimodal mapping of variant effects in secreted proteins.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

6 authors at 2 institutions in 1 country.

Anthony ScottDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Felicia HernandezAmbry Genetics, Aliso Viejo, CA, 92656, USA.
Adam ChamberlinAmbry Genetics, Aliso Viejo, CA, 92656, USA.
Cathy SmithDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Rachid KaramAmbry Genetics, Aliso Viejo, CA, 92656, USA.
Jacob O KitzmanDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA. kitzmanj@umich.edu.ORCID http://orcid.org/0000-0002-6145-882X
University of Michigan · USAmbry Genetics (United States) · US

Funding

Massively parallel experimental measurement of variant functional impactsR01GM129123 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KITZMAN, JACOB OTTO · 2018 to 2022
$2.1M
NIGMS NIH HHS R01 GM129123
6 · The paper itself

Abstract

backgroundLynch syndrome (LS) is a cancer predisposition syndrome affecting more than 1 in every 300 individuals worldwide. Clinical genetic testing for LS can be life-saving but is complicated by the heavy burden of variants of uncertain significance (VUS), especially missense changes.

resultTo address this challenge, we leverage a multiplexed analysis of variant effect (MAVE) map covering >94% of the 17,746 possible missense variants in the key LS gene MSH2. To establish this map's utility in large-scale variant reclassification, we overlay it on clinical databases of >15,000 individuals with LS gene variants uncovered during clinical genetic testing. We validate these functional measurements in a cohort of individuals with paired tumor-normal test results and find that MAVE-based function scores agree with the clinical interpretation for every one of the MSH2 missense variants with an available classification. We use these scores to attempt reclassification for 682 unique missense VUS, among which 34 scored as deleterious by our function map, in line with previously published rates for other cancer predisposition genes. Combining functional data and other evidence, ten missense VUS are reclassified as pathogenic/likely pathogenic, and another 497 could be moved to benign/likely benign. Finally, we apply these functional scores to paired tumor-normal genetic tests and identify a subset of patients with biallelic somatic loss of function, reflecting a sporadic Lynch-like Syndrome with distinct implications for treatment and relatives' risk.

conclusionThis study demonstrates how high-throughput functional assays can empower scalable VUS resolution and prospectively generate strong evidence for variant classification.

Indexed as

Colorectal Neoplasms, Hereditary NonpolyposisGenetic Predisposition to DiseaseGenetic TestingGenotypeHumansMutS Homolog 2 ProteinMutS Homolog 2 Protein

Identifiers

PMID36550560
PMCPMC9773515
OpenAlexW4312190539

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.