Evidence map›Paper›PMID 35156021›Full record

ArticleNAR genomics and bioinformatics2022

An improved molecular inversion probe based targeted sequencing approach for low variant allele frequency.

Tamir Biezuner, Yardena Brilon, Asaf Ben Arye, Barak Oron, Aditee Kadam, Adi Danin, Nili Furer, Mark D Minden, Dennis Dong Hwan Kim, Shiran Shapira and 7 more

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

17 authors.

Tamir BiezunerDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.ORCID https://orcid.org/0000-0002-3642-0977
Yardena BrilonDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.
Asaf Ben AryeDepartment of Statistics and Operations Research, Tel Aviv University, Ramat Aviv, Israel.
Barak OronDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.
Aditee KadamDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.
Adi DaninDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.
Nili FurerDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.
Mark D MindenPrincess Margaret Cancer Centre, University Health Network (UHN), Department of Medical Oncology & Hematology, Toronto, ON, Canada.
Dennis Dong Hwan KimPrincess Margaret Cancer Centre, University Health Network (UHN), Department of Medical Oncology & Hematology, Toronto, ON, Canada.
Shiran ShapiraSourasky Medical Center Tel Aviv, Israel.
Nadir ArberSourasky Medical Center Tel Aviv, Israel.
John DickPrincess Margaret Cancer Centre, University Health Network (UHN), Department of Molecular Genetics, Toronto, ON, Canada.
Paaladinesh ThavendiranathanDepartment of Medicine, Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.
Yoni MoskovitzDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.
Nathali KaushanskyDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.
Noa Chapal-IlaniDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.
Liran I ShlushDepartment of Immunology, Weizmann Institute of Science, Rehovot 761001, Israel.ORCID https://orcid.org/0000-0002-3700-270X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep targeted sequencing technologies are still not widely used in clinical practice due to the complexity of the methods and their cost. The Molecular Inversion Probes (MIP) technology is cost effective and scalable in the number of targets, however, suffers from low overall performance especially in GC rich regions. In order to improve the MIP performance, we sequenced a large cohort of healthy individuals (

Identifiers

PMID35156021
PMCPMC8826764

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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.