Evidence map›Paper›PMID 28502252›Full record

ArticleGenetics research2017

Differential analysis of mutations in the Jewish population and their implications for diseases.

Yaron Einhorn, Daphna Weissglas-Volkov, Shai Carmi, Harry Ostrer, Eitan Friedman, Noam Shomron

Open access · hybridAbstract read
In one paragraph

Article in Genetics research, 2017. 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
0.3field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. The breast journal · 2024
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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 at 3 institutions in 2 countries.

Yaron EinhornFaculty of Medicine,Tel Aviv University,Tel Aviv,Israel.
Daphna Weissglas-VolkovFaculty of Medicine,Tel Aviv University,Tel Aviv,Israel.
Shai CarmiBraun School of Public Health and Community Medicine,The Hebrew University of Jerusalem,Jerusalem,Israel.
Harry OstrerDepartment of Pathology,Albert Einstein College of Medicine,Bronx, NY,USA.
Eitan FriedmanFaculty of Medicine,Tel Aviv University,Tel Aviv,Israel.
Noam ShomronFaculty of Medicine,Tel Aviv University,Tel Aviv,Israel.
Tel Aviv University · ILAlbert Einstein College of Medicine · USHebrew University of Jerusalem · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing large cohorts of ethnically homogeneous individuals yields genetic insights with implications for the entire population rather than a single individual. In order to evaluate the genetic basis of certain diseases encountered at high frequency in the Ashkenazi Jewish population (AJP), as well as to improve variant annotation among the AJP, we examined the entire exome, focusing on specific genes with known clinical implications in 128 Ashkenazi Jews and compared these data to other non-Jewish populations (European, African, South Asian and East Asian). We targeted American College of Medical Genetics incidental finding recommended genes and the Catalogue of Somatic Mutations in Cancer (COSMIC) germline cancer-related genes. We identified previously known disease-causing variants and discovered potentially deleterious variants in known disease-causing genes that are population specific or substantially more prevalent in the AJP, such as in the ATP and HGFAC genes associated with colorectal cancer and pancreatic cancer, respectively. Additionally, we tested the advantage of utilizing the database of the AJP when assigning pathogenicity to rare variants of independent whole-exome sequencing data of 49 Ashkenazi Jew early-onset breast cancer (BC) patients. Importantly, population-based filtering using our AJP database enabled a reduction in the number of potential causal variants in the BC cohort by 36%. Taken together, population-specific sequencing of the AJP offers valuable, clinically applicable information and improves AJP filter annotation.

Indexed as

Cohort StudiesExomeFemaleGenetic Predisposition to DiseaseGenetics, PopulationGerm-Line MutationHumansJewsMaleMutationPolymorphism, Single NucleotideWhole Genome Sequencing

Identifiers

PMID28502252
PMCPMC6865140
OpenAlexW2616566020

What OpenQuestion holds

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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.