Evidence map›Paper›PMID 32980975›Full record

ArticleHuman genetics2021

A study of normal copy number variations in Israeli population.

Idit Maya, Pola Smirin-Yosef, Sarit Kahana, Sne Morag, Shiri Yacobson, Ifaat Agmon-Fishman, Reut Matar, Elisheva Bitton, Mordechai Shohat, Lina Basel-Salmon and 1 more

Abstract read
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In one paragraph

Article in Human genetics, 2021. 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
0.2field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

11 authors at 4 institutions in 1 country.

Idit Maya *Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel.
Pola Smirin-Yosef *Genomic Bioinformatics Laboratory, Department of Molecular Biology, Ariel University, Ariel, Israel.
Sarit KahanaRaphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel.
Sne MoragGenomic Bioinformatics Laboratory, Department of Molecular Biology, Ariel University, Ariel, Israel.
Shiri YacobsonRaphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel.
Ifaat Agmon-FishmanRaphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel.
Reut MatarRaphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel.
Elisheva BittonGenomic Bioinformatics Laboratory, Department of Molecular Biology, Ariel University, Ariel, Israel.
Mordechai ShohatSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Lina Basel-SalmonRaphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel.
Mali Salmon-DivonGenomic Bioinformatics Laboratory, Department of Molecular Biology, Ariel University, Ariel, Israel. malisa@ariel.ac.il.ORCID http://orcid.org/0000-0002-7272-0846
Rafael Advanced Defense Systems (Israel) · ILAriel University · ILRabin Medical Center · ILTel Aviv University · IL

Funding

Ministry of Science and Technology, Israel 3-13545
6 · The paper itself

Abstract

The population of Israel is ethnically diverse, and individuals from different ethnic groups share specific genetic variations. These variations, which have been passed on from common ancestors, are usually reported in public databases as rare variants. Here, we aimed to identify ethnicity-based benign copy number variants (CNVs) and generate the first Israeli CNV database. We applied a data-mining approach to the results of 10,193 chromosomal microarray tests, of which 2150 tests were from individuals of 13 common ethnic backgrounds (n ≥ 10). We found 165 CNV regions (> 50 kbp) that are unique to specific ethnic groups (uCNVRs). The frequency of more than 19% of these uCNVRs is between 1 and 20% of the common ethnic origin, while their frequency in the overall cohort is between 0.5 and 1.6%. Of these 165 uCNVRs, 98 are reported as variants of unknown significance or as not available in dbVar; we postulate that these uCNVRs should be annotated as either "likely benign" or "benign". The ethnic-specific CNVs extracted in this study will allow geneticists to distinguish between relevant pathogenic genomic aberrations and benign ethnicity-related variations, thus preventing variant misinterpretation that may lead to unnecessary pregnancy terminations.

Indexed as

DNA Copy Number VariationsFemaleHumansIsraelJewsMaleChromosomal microarray analysis (CMA)Copy number variations (CNV)Data miningdbVarEthnicityPolymorphism

Identifiers

PMID32980975
OpenAlexW3088670467

What OpenQuestion holds

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Registered trials

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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.