Evidence map›Paper›PMID 41851262›Full record

ReviewEuropean journal of human genetics : EJHG2026

Sequencing approaches in hereditary cancer testing: strengths, limitations and future directions.

Sami Belhadj, Christopher J Hatch, Holly LaDuca, Carolyn Horton, Seth I Berger, Rachid Karam

Abstract readReview
In one paragraph

Review in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sami BelhadjAmbry Genetics, Aliso Viejo, CA, USA. sbelhadj@ambrygen.com.ORCID http://orcid.org/0000-0002-0528-9187
Christopher J HatchAmbry Genetics, Aliso Viejo, CA, USA.
Holly LaDucaAmbry Genetics, Aliso Viejo, CA, USA.
Carolyn HortonAmbry Genetics, Aliso Viejo, CA, USA.
Seth I BergerAmbry Genetics, Aliso Viejo, CA, USA.ORCID http://orcid.org/0000-0001-7517-4302
Rachid KaramAmbry Genetics, Aliso Viejo, CA, USA.ORCID http://orcid.org/0000-0002-5645-498X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past three decades, Hereditary Cancer Testing (HCT) has evolved from single gene assays into multigene panel testing (MGPT), which allows for the screening of all known hereditary cancer genes in a single assay. MGPT is currently the standard approach for clinical HCT. However, with decreasing sequencing costs and increased instrument throughput, the scalability of exome sequencing (ES) and genome sequencing (GS) for HCT indications is becoming more viable. These methods provide broader insights into the coding exons and/or the entire genome, respectively. ES/GS data can also be reanalyzed to identify variants in novel genes that were not characterized at the time of initial testing, or to support research efforts aimed at uncovering additional associations between germline variants and cancer predisposition. Additionally, the emerging use of long-read sequencing (LRS) is noteworthy, enabling improved variant detection compared to short-read sequencing, especially for complex/structural variants and variation in difficult-to-sequence or paralogous regions in genes such as PMS2. This has the potential to increase the accuracy of HCT, reduce the turnaround time, find previously unidentifiable cancer risk variants, and ultimately increase the diagnostic yield. This article provides a comprehensive summary of the sequencing approaches used in HCT, discussing their strengths and limitations. We also highlight the added value of complementing DNA-only testing with RNA and tumor sequencing. Furthermore, we explore LRS-based approaches and discuss opportunities for their implementation in routine genetic testing for hereditary cancer.

Indexed as

Exome SequencingGenetic TestingHigh-Throughput Nucleotide SequencingNeoplasmsSequence Analysis, DNAGenetic Predisposition to DiseaseHumans

Identifiers

PMID41851262
PMCPMC13550574

What OpenQuestion holds

Textmetadata
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.