Evidence map›Paper›PMID 41396600›Full record

ArticleJAMA network open2025

Genomic Ascertainment of CHEK2-Related Cancer Predisposition.

Sun Young Kim, Jung Kim, Mark Ramos, Jeremy Haley, Diane Smelser, H Shanker Rao, Uyenlinh L Mirshahi, Katherine L Nathanson, Barry I Graubard, Hormuzd A Katki and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Genomic ascertainment ofmedRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Double jeopardy: howFrontiers in cell and developmental biology · 2026
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Sun Young KimClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, Maryland.
Jung KimClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, Maryland.
Mark RamosClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, Maryland.
Jeremy HaleyDepartment of Genomic Health, Geisinger, Danville, Pennsylvania.
Diane SmelserDepartment of Genomic Health, Geisinger, Danville, Pennsylvania.
H Shanker RaoDepartment of Genomic Health, Geisinger, Danville, Pennsylvania.
Uyenlinh L MirshahiDepartment of Genomic Health, Geisinger, Danville, Pennsylvania.
Katherine L NathansonDivision of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA and.
Barry I GraubardBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Hormuzd A KatkiBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
David CareyDepartment of Genomic Health, Geisinger, Danville, Pennsylvania.
Douglas R StewartClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, Maryland.
Geisinger-Regeneron DiscovEHR Collaboration and Penn Medicine Biobank

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: There is clear evidence that deleterious germline variants in CHEK2 increase risk for breast and prostate cancers; there is limited or conflicting evidence for other cancers. Objective: To quantify the prevalence of as well as cancer risk and survival associated with CHEK2 germline pathogenic and likely pathogenic variants using genomic ascertainment. Design, Setting, and Participants: This case-control study used 2 electronic health record-linked and exome-sequenced biobanks: UK Biobank (n = 469 765) and Geisinger MyCode (adults only; n = 167 050). Variants were classified according to American College of Medical Genetics and Genomics and the Association for Molecular Pathology criteria. Cases were defined as individuals with heterozygous CHEK2, harboring pathogenic or likely pathogenic variants; controls as individuals with a benign or likely benign CHEK2 variation or wildtype CHEK2. Cancer registry (MyCode since approximately 1943; UK Biobank since approximately 1970) and demographic data were retrieved; to adjust for relatedness, association analysis was performed with SAIGE-GENE+ with Bonferroni correction. Main Outcomes and Measures: Prevalence of as well as cancer risk and survival in adults with CHEK2 germline variants. Results: Of 469 765 individuals in the UK Biobank, there were 3232 case participants (mean [SD] age, 70.8 [8.0] years; 3139 [97.1%] White; 1744 [54.0%] women); of 167 050 individuals with MyCode, there were 3153 case participants (mean [SD] age, 60.5 [17.8] years; 3123 [98.8%] White; 1935 [61.5%] women). In case participants in both MyCode and UKBB, there was a significant excess risk of all cancers (odds ratio [OR], 1.33 [95% CI, 1.18-1.49]; OR, 1.41 [95% CI, 1.26-1.59], respectively), breast (OR, 1.54 [95% CI, 1.18-2.00]; OR, 1.84 [95% CI, 1.49-2.27], respectively), prostate (OR, 1.62 [95% CI, 1.27-2.07]; OR, 1.78 [95% CI, 1.48-2.16], respectively), kidney (OR, 1.58 [95% CI, 1.03-2.41]; OR, 1.84 [95% CI, 1.22-2.77], respectively), and bladder (OR, 1.50 [95% CI, 1.01-2.23]; OR, 1.64 [95% CI, 1.17-2.31], respectively) cancers as well as lymphoid leukemia (OR, 2.08 [95% CI, 1.17-3.69]; OR, 2.21 [95% CI, 1.19-4.08], respectively). Compared with control participants, time to cancer in case participants was significantly shorter in both cohorts; no significant difference was observed between the age-dependent penetrance of truncating and missense variants for cancer in either cohort. Overall survival was significantly decreased in case participants in UK Biobank; however, the primary consequence was seen after 75 years. There was no statistical difference in survival in MyCode. There were no differences in survival between case participants with cancer and control participants with cancer. Conclusions and Relevance: In this case-control study of genomic ascertainment of individuals with heterozygous CHEK2 pathogenic or likely pathogenic variants in 2 population-scale cohorts, there was a significant excess risk of breast, prostate, kidney, bladder, and lymphoid leukemia cancer. The conferred excess mortality and cancer risk was low (ORs <2). This has clinical implications for individuals ascertained this way (vs with a family history of cancer).

Indexed as

Checkpoint Kinase 2Genetic Predisposition to DiseaseNeoplasmsAdultAgedBreast NeoplasmsCase-Control StudiesFemaleGerm-Line MutationHumansMaleMiddle AgedProstatic NeoplasmsUnited KingdomCheckpoint Kinase 2CHEK2 protein, human

Identifiers

PMID41396600
PMCPMC12706675

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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.