Evidence map›Paper›PMID 21397061›Full record

ArticleAmerican journal of human genetics2011

Population-genetic properties of differentiated human copy-number polymorphisms.

Catarina D Campbell, Nick Sampas, Anya Tsalenko, Peter H Sudmant, Jeffrey M Kidd, Maika Malig, Tiffany H Vu, Laura Vives, Peter Tsang, Laurakay Bruhn and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 93 citations in OpenAlex.

  1. Trial
  2. Article
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  6. Review
  7. Article
  8. Article
  9. Quantitative assessment reveals the dominance of duplicated sequences in germline-derived extrachromosomal circular DNA.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. Article
  11. Article
  12. Review
  13. POPSTR: Inference of Admixed Population Structure Based on Single-Nucleotide Polymorphisms and Copy Number Variations.Journal of computational biology : a journal of computational molecular cell biology · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Human adaptation and evolution by segmental duplication.Current opinion in genetics & development · 2016
    Review
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 3 institutions in 1 country.

Catarina D CampbellDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Nick Sampas
Anya Tsalenko
Peter H Sudmant
Jeffrey M Kidd
Maika Malig
Tiffany H Vu
Laura Vives
Peter Tsang
Laurakay Bruhn
Evan E Eichler
University of Washington · USAgilent Technologies (United States) · USStanford University · US

Funding

INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Sequencing and Clone CharacterizationP01HG004120 · NHGRI · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN · 2007 to 2013
$7.7M
Population genetic studies of human copy-number polymorphismsF32HG006070 · NHGRI · UNIVERSITY OF WASHINGTON · PI CAMPBELL, CATARINA D. · 2010 to 2012
$108k
Howard Hughes Medical InstituteNHGRI NIH HHS F32 HG006070NHGRI NIH HHS F32HG006070NHGRI NIH HHS HG004120NHGRI NIH HHS P01 HG004120NHGRI NIH HHS T32 HG000035NHGRI NIH HHS T32HG00035
6 · The paper itself

Abstract

Copy-number variants (CNVs) can reach appreciable frequencies in the human population, and recent discoveries have shown that several of these copy-number polymorphisms (CNPs) are associated with human diseases, including lupus, psoriasis, Crohn disease, and obesity. Despite new advances, significant biases remain in terms of CNP discovery and genotyping. We developed a method based on single-channel intensity data and benchmarked against copy numbers determined from sequencing read depth to successfully obtain CNP genotypes for 1495 CNPs from 487 human DNA samples of diverse ethnic backgrounds. This microarray contained CNPs in segmental duplication-rich regions and insertions of sequences not represented in the reference genome assembly or on standard SNP microarray platforms. We observe that CNPs in segmental duplications are more likely to be population differentiated than CNPs in unique regions (p = 0.015) and that biallelic CNPs show greater stratification when compared to frequency-matched SNPs (p = 0.0026). Although biallelic CNPs show a strong correlation of copy number with flanking SNP genotypes, the majority of multicopy CNPs do not (40% with r > 0.8). We selected a subset of CNPs for further characterization in 1876 additional samples from 62 populations; this revealed striking population-differentiated structural variants in genes of clinical significance such as OCLN, a tight junction protein involved in hepatitis C viral entry. Our microarray design allows these variants to be rapidly tested for disease association and our results suggest that CNPs (especially those that cannot be imputed from SNP genotypes) might have contributed disproportionately to human diversity and selection.

Indexed as

Genetics, PopulationComparative Genomic HybridizationDNA Copy Number VariationsGenetic LociGenotypeGeographyHumansLinkage DisequilibriumMutagenesis, InsertionalPolymorphism, Single Nucleotide

Identifiers

PMID21397061
PMCPMC3059424
OpenAlexW2039743841

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.