Evidence map›Paper›PMID 39384879›Full record

ArticleCommunications biology2024

Polygenic risk and rare variant gene clustering enhance cancer risk stratification for breast and prostate cancers.

Joon Ho Kang, Youngkee Lee, Dong Jun Kim, Ji-Woong Kim, Myeong Jae Cheon, Byung-Chul Lee

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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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.

Joon Ho KangR&D division Genoplan Korea Inc, Seoul, 06611, Republic of Korea.ORCID 0000-0002-9052-7062
Youngkee LeeR&D division Genoplan Korea Inc, Seoul, 06611, Republic of Korea.ORCID 0000-0002-8459-7419
Dong Jun KimR&D division Genoplan Korea Inc, Seoul, 06611, Republic of Korea.
Ji-Woong KimR&D division Genoplan Korea Inc, Seoul, 06611, Republic of Korea.
Myeong Jae CheonR&D division Genoplan Korea Inc, Seoul, 06611, Republic of Korea.
Byung-Chul LeeR&D division Genoplan Korea Inc, Seoul, 06611, Republic of Korea. io@genoplan.com.ORCID 0009-0005-6638-6684

Funding

Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
NCI NIH HHS U19 CA148065
6 · The paper itself

Abstract

Polygenic risk score (PRS) and rare monogenic variant screening are valuable tools for predicting cancer risk and identifying individuals at high risk. Integrating both common and rare genetic variants is crucial for accurate risk assessment. However, estimating the impacts of rare variants on cancer and combining them with PRS remains challenging. Here, we analyze 454,711 exome sequencing and 487,409 array UK Biobank samples, focusing on breast and prostate cancers. We introduce an expanded PRS (EPRS) approach, yielding a systematic model for more effective risk stratification. By prioritizing and clustering genes with cancer-specific rare variants based on odds ratios and population-attributable fraction, we refine risk stratification by combining both monogenic and polygenic effects. Individuals in high-PRS groups with rare high-impact gene variants show up to 15- and 22-fold higher risk for breast and prostate cancers, respectively, compared to those in the intermediate-PRS groups without rare variants. Combined risk profiles vary across distinct rare variant clusters within the same PRS group for both cancers. Our EPRS approach enhances risk stratification for breast and prostate cancers, offering important insights for future research and potential applications to other cancer types.

Indexed as

Breast NeoplasmsGenetic Predisposition to DiseaseMultifactorial InheritanceProstatic NeoplasmsFemaleHumansMaleMultigene FamilyRisk AssessmentRisk Factors

Identifiers

PMID39384879
PMCPMC11464688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.