Evidence map›Paper›PMID 31353025›Full record

ArticleAmerican journal of human genetics2019

Phenome-wide Burden of Copy-Number Variation in the UK Biobank.

Matthew Aguirre, Manuel A Rivas, James Priest

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
8.4field-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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Copy Number Variation Analysis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Human-specific gene expansions contribute to brain evolution.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. The pleiotropic spectrum of proximal 16p11.2 CNVs.American journal of human genetics · 2024
    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

3 authors at 2 institutions in 1 country.

Matthew AguirreDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94305, USA.
Manuel A RivasDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA 94305, USA.
James PriestDepartment of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94305, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94035, USA. Electronic address: jpriest@stanford.edu.
Stanford University · USCardiovascular Institute of the South · US

Funding

Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
SOFTWARE FOR LARGE-SCALE INFERENCE OF THE GENETICS OF LIFESTYLE MEASURES, BIOMARKERS, AND COMMON AND RARE DISEASESR01HG010140 · NHGRI · STANFORD UNIVERSITY · PI KUNDAJE, ANSHUL, MONTGOMERY, STEPHEN · 2018 to 2022
$2.0M
Genetic Mechanisms of Congenital Heart DiseaseR00HL130523 · NHLBI · STANFORD UNIVERSITY · PI PRIEST, JAMES R. · 2017 to 2019
$747k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS R01 HG010140NHGRI NIH HHS U01 HG009080NHLBI NIH HHS R00 HL130523
6 · The paper itself

Abstract

Copy-number variations (CNVs) represent a significant proportion of the genetic differences between individuals and many CNVs associate causally with syndromic disease and clinical outcomes. Here, we characterize the landscape of copy-number variation and their phenome-wide effects in a sample of 472,228 array-genotyped individuals from the UK Biobank. In addition to population-level selection effects against genic loci conferring high mortality, we describe genetic burden from potentially pathogenic and previously uncharacterized CNV loci across more than 3,000 quantitative and dichotomous traits, with separate analyses for common and rare classes of variation. Specifically, we highlight the effects of CNVs at two well-known syndromic loci 16p11.2 and 22q11.2, previously uncharacterized variation at 9p23, and several genic associations in the context of acute coronary artery disease and high body mass index. Our data constitute a deeply contextualized portrait of population-wide burden of copy-number variation, as well as a series of dosage-mediated genic associations across the medical phenome.

Indexed as

DNA Copy Number VariationsPhenomicsPolymorphism, Single NucleotideAutistic DisorderBiological Specimen BanksCase-Control StudiesChromosome DeletionChromosome DisordersChromosomes, Human, Pair 16Chromosomes, Human, Pair 9Coronary Artery DiseaseDiGeorge SyndromeFemaleGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association Studyassociation testingcopy number variationgeneticsgenomicsmicrodeletion/microduplication syndromepopulation databaseselection biasstructural variationUK Biobank

Identifiers

PMID31353025
PMCPMC6699064
OpenAlexW2963271150

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.