Evidence map›Paper›PMID 32013076›Full record

ArticleGenes2020

Rapid, Paralog-Sensitive CNV Analysis of 2457 Human Genomes Using QuicK-mer2.

Feichen Shen, Jeffrey M Kidd

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Whole Genome Sequencing Reveals amedRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. CNPI: Rapid Analyses of Human Copy Number Data.Journal of molecular biology · 2025
    Article
  5. Article
  6. Human-specific gene expansions contribute to brain evolution.bioRxiv : the preprint server for biology · 2025
    Article
  7. mAutism research : official journal of the International Society for Autism Research · 2025
    Article
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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

2 authors at 1 institution in 1 country.

Feichen ShenDepartment of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Jeffrey M KiddDepartment of Human Genetics and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
University of Michigan · US

Funding

New York Center for Collaborative Research In Common Disease Genomics: Genome Aggregation and Joint Variant Calling for CCDG Freeze2UM1HG008901 · NHGRI · NEW YORK GENOME CENTER · PI MANIATIS, THOMAS P, WIGLER, MICHAEL H · 2016 to 2020
$56.6M
Characterizing the Global Architecture of Genomic DiversityDP5OD009154 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KIDD, JEFFREY M · 2011 to 2015
$1.9M
Comprehensive Characterization of Canine Genomic Structural DiversityR01GM103961 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOYKO, ADAM R, KIDD, JEFFREY M · 2013 to 2016
$986k
NHGRI NIH HHS UM1 HG008901NIGMS NIH HHS R01 GM103961NIH HHS DP5 OD009154
6 · The paper itself

Abstract

Gene duplication is a major mechanism for the evolution of gene novelty, and copy-number variation makes a major contribution to inter-individual genetic diversity. However, most approaches for studying copy-number variation rely upon uniquely mapping reads to a genome reference and are unable to distinguish among duplicated sequences. Specialized approaches to interrogate specific paralogs are comparatively slow and have a high degree of computational complexity, limiting their effective application to emerging population-scale data sets. We present QuicK-mer2, a self-contained, mapping-free approach that enables the rapid construction of paralog-specific copy-number maps from short-read sequence data. This approach is based on the tabulation of unique k-mer sequences from short-read data sets, and is able to analyze a 20X coverage human genome in approximately 20 min. We applied our approach to newly released sequence data from the 1000 Genomes Project, constructed paralog-specific copy-number maps from 2457 unrelated individuals, and uncovered copy-number variation of paralogous genes. We identify nine genes where none of the analyzed samples have a copy number of two, 92 genes where the majority of samples have a copy number other than two, and describe rare copy number variation effecting multiple genes at the APOBEC3 locus.

Indexed as

DNA Copy Number VariationsAlgorithmsComputational BiologyEvolution, MolecularGene DuplicationGenome, HumanHumansSequence Analysis, DNAcopy-number variationgene duplicationk-mer

Identifiers

PMID32013076
PMCPMC7073954
OpenAlexW3003203669

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.