Evidence map›Paper›PMID 35680869›Full record

ArticleNature communications2022

Robust and accurate estimation of paralog-specific copy number for duplicated genes using whole-genome sequencing.

Timofey Prodanov, Vikas Bansal

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. SSLCNV: A Semi-supervised Learning Framework for Accurate Copy Number Variation Detection.Interdisciplinary sciences, computational life sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Complex genetic variation in nearly complete human genomes.bioRxiv : the preprint server for biology · 2024
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
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.

Timofey ProdanovBioinformatics and Systems Biology Graduate Program, University of California, La Jolla, San Diego, CA, 92093, USA.ORCID 0000-0001-7469-6651
Vikas BansalDepartment of Pediatrics, School of Medicine, University of California, La Jolla, San Diego, CA, 92093, USA. vibansal@ucsd.edu.ORCID 0000-0002-6684-5335

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
Refining Mendelian disease analysis via detection of clinically relevant repeat variantsR01HG010149 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna, Vikas Bansal · 2018 to 2026
$4.5M
NHGRI NIH HHS R01 HG010149NHGRI NIH HHS UM1 HG008901
6 · The paper itself

Abstract

The human genome contains hundreds of low-copy repeats (LCRs) that are challenging to analyze using short-read sequencing technologies due to extensive copy number variation and ambiguity in read mapping. Copy number and sequence variants in more than 150 duplicated genes that overlap LCRs have been implicated in monogenic and complex human diseases. We describe a computational tool, Parascopy, for estimating the aggregate and paralog-specific copy number of duplicated genes using whole-genome sequencing (WGS). Parascopy is an efficient method that jointly analyzes reads mapped to different repeat copies without the need for global realignment. It leverages multiple samples to mitigate sequencing bias and to identify reliable paralogous sequence variants (PSVs) that differentiate repeat copies. Analysis of WGS data for 2504 individuals from diverse populations showed that Parascopy is robust to sequencing bias, has higher accuracy compared to existing methods and enables prioritization of pathogenic copy number changes in duplicated genes.

Indexed as

DNA Copy Number VariationsGenome, HumanHigh-Throughput Nucleotide SequencingHumansSegmental Duplications, GenomicSequence Analysis, DNAWhole Genome Sequencing

Identifiers

PMID35680869
PMCPMC9184528

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.