Evidence map›Paper›PMID 33916261›Full record

ArticleJournal of personalized medicine2021

A Novel Low-Risk Germline Variant in the SH2 Domain of the SRC Gene Affects Multiple Pathways in Familial Colorectal Cancer.

Diamanto Skopelitou, Beiping Miao, Aayushi Srivastava, Abhishek Kumar, Magdalena Kuświk, Dagmara Dymerska, Nagarajan Paramasivam, Matthias Schlesner, Jan Lubiński, Kari Hemminki and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 97% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 4 countries.

Diamanto SkopelitouMolecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Beiping MiaoMolecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Aayushi SrivastavaMolecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Abhishek KumarInstitute of Bioinformatics, International Technology Park, Bangalore 56066, India.ORCID 0000-0003-4172-4059
Magdalena KuświkDepartment of Genetics and Pathology, Pomeranian Medical University, 71252 Szczecin, Poland.ORCID 0000-0001-9070-747X
Dagmara DymerskaDepartment of Genetics and Pathology, Pomeranian Medical University, 71252 Szczecin, Poland.ORCID 0000-0001-8097-8014
Nagarajan ParamasivamComputational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany.
Matthias SchlesnerBioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Jan LubińskiDepartment of Genetics and Pathology, Pomeranian Medical University, 71252 Szczecin, Poland.
Kari HemminkiMolecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Asta FörstiMolecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0002-9857-4728
Obul Reddy BandapalliMolecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0002-1132-1745
German Cancer Research Center · DEPomeranian Medical University · PLInstitute of Bioinformatics · INNational Center for Tumor Diseases · DE

Funding

Bundesministerium für Bildung und Forschung TRANSCAN ERA-NETEuropean Cooperation in Science and Technology COST Action CA17118Horizon 2020 856620
6 · The paper itself

Abstract

Colorectal cancer (CRC) shows one of the largest proportions of familial cases among different malignancies, but only 5-10% of all CRC cases are linked to mutations in established predisposition genes. Thus, familial CRC constitutes a promising target for the identification of novel, high- to moderate-penetrance germline variants underlying cancer susceptibility by next generation sequencing. In this study, we performed whole genome sequencing on three members of a family with CRC aggregation. Subsequent integrative in silico analysis using our in-house developed variant prioritization pipeline resulted in the identification of a novel germline missense variant in the

Indexed as

familial colorectal cancergermline variantSRCwhole genome sequencing

Identifiers

PMID33916261
PMCPMC8066297
OpenAlexW3133755014

What OpenQuestion 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 OpenQuestion graph.