Evidence map›Paper›PMID 25645873›Full record

ReviewNature reviews. Genetics2015

A copy number variation map of the human genome.

Mehdi Zarrei, Jeffrey R MacDonald, Daniele Merico, Stephen W Scherer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 468 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
468citing papers in PubMed, 4 pooled it
–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

468 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Autism spectrum disorder and schizophrenia: An updated conceptual review.Autism research : official journal of the International Society for Autism Research · 2022
    Pooled it
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408 more citing papers are in PubMed but not listed here.

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

4 authors.

Mehdi ZarreiThe Centre for Applied Genomics, and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario M5G 1L7, Canada.
Jeffrey R MacDonaldThe Centre for Applied Genomics, and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario M5G 1L7, Canada.
Daniele MericoThe Centre for Applied Genomics, and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario M5G 1L7, Canada.
Stephen W Scherer1] The Centre for Applied Genomics, and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario M5G 1L7, Canada. [2] McLaughlin Centre and Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1L7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major contribution to the genome variability among individuals comes from deletions and duplications - collectively termed copy number variations (CNVs) - which alter the diploid status of DNA. These alterations may have no phenotypic effect, account for adaptive traits or can underlie disease. We have compiled published high-quality data on healthy individuals of various ethnicities to construct an updated CNV map of the human genome. Depending on the level of stringency of the map, we estimated that 4.8-9.5% of the genome contributes to CNV and found approximately 100 genes that can be completely deleted without producing apparent phenotypic consequences. This map will aid the interpretation of new CNV findings for both clinical and research applications.

Indexed as

Chromosome MappingDNA Copy Number VariationsGenetic Predisposition to DiseaseGenome, HumanDNAGene DeletionGene DuplicationGenetic Association StudiesGenotypeHigh-Throughput Nucleotide SequencingHumansOligonucleotide Array Sequence AnalysisPhenotypeDNA

Identifiers

PMID25645873

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.