Evidence map›Paper›PMID 25621458›Full record

ArticleNature genetics2015

Large multiallelic copy number variations in humans.

Robert E Handsaker, Vanessa Van Doren, Jennifer R Berman, Giulio Genovese, Seva Kashin, Linda M Boettger, Steven A McCarroll

Abstract read
In one paragraph

Article in Nature genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 247 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
247citing papers in PubMed, 2 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

247 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Genetic mechanisms of mitotic error in 840,853 blood genomes.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

187 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

7 authors.

Robert E Handsaker1] Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [2] Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000000231283547
Vanessa Van Doren1] Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [2] Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.
Jennifer R BermanDigital Biology Center, Bio-Rad Laboratories, Inc., Pleasanton, California, USA.
Giulio Genovese1] Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [2] Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.
Seva Kashin1] Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [2] Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.
Linda M BoettgerDepartment of Genetics, Harvard Medical School, Boston, Massachusetts, USA.
Steven A McCarroll1] Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [2] Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Structurally complex genome loci in human populations and human phenotypesR01HG006855 · NHGRI · HARVARD MEDICAL SCHOOL · PI Steven Andrew McCarroll · 2012 to 2026
$8.2M
Accurate analysis of genome structural variation using large-scale sequence dataU01HG006510 · NHGRI · HARVARD MEDICAL SCHOOL · PI MCCARROLL, STEVEN ANDREW · 2012 to 2015
$1.7M
NHGRI NIH HHS R01 HG006855NHGRI NIH HHS U01 HG006510
6 · The paper itself

Abstract

Thousands of genomic segments appear to be present in widely varying copy numbers in different human genomes. We developed ways to use increasingly abundant whole-genome sequence data to identify the copy numbers, alleles and haplotypes present at most large multiallelic CNVs (mCNVs). We analyzed 849 genomes sequenced by the 1000 Genomes Project to identify most large (>5-kb) mCNVs, including 3,878 duplications, of which 1,356 appear to have 3 or more segregating alleles. We find that mCNVs give rise to most human variation in gene dosage-seven times the combined contribution of deletions and biallelic duplications-and that this variation in gene dosage generates abundant variation in gene expression. We describe 'runaway duplication haplotypes' in which genes, including HPR and ORM1, have mutated to high copy number on specific haplotypes. We also describe partially successful initial strategies for analyzing mCNVs via imputation and provide an initial data resource to support such analyses.

Indexed as

AllelesDNA Copy Number VariationsGene DosageGenome, HumanGenome-Wide Association StudyHaplotypesHumans

Identifiers

PMID25621458
PMCPMC4405206

What OpenQuestion holds

Textmetadata
LicenceTDM
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.