Evidence map›Paper›PMID 24560518›Full record

ArticleAmerican journal of human genetics2014

A common 16p11.2 inversion underlies the joint susceptibility to asthma and obesity.

Juan R González, Alejandro Cáceres, Tonu Esko, Ivon Cuscó, Marta Puig, Mikel Esnaola, Judith Reina, Valerie Siroux, Emmanuelle Bouzigon, Rachel Nadif and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
7.7field-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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Differential gene expression in nasal airway epithelium from overweight or obese youth with asthma.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022
    Pooled it
  2. Article
  3. Asthma-Genomic Advances Toward Risk Prediction.Clinics in chest medicine · 2024
    Review
  4. Article
  5. Genomic architecture and functional effects of potential human inversion supergenes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Peak flow variability in childhood and body mass index in adult life.The Journal of allergy and clinical immunology · 2019
    Article
  19. Article
  20. 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

21 authors at 8 institutions in 5 countries.

Juan R GonzálezCenter for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; Hospital del Mar Research Institute (IMIM), Barcelona 08003, Spain; Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Department of Mathematics, Universitat Autònoma de Barcelona, Bellaterra (Barcelona) 08193, Spain. Electronic address: jrgonzalez@creal.cat.
Alejandro CáceresCenter for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; Hospital del Mar Research Institute (IMIM), Barcelona 08003, Spain.
Tonu EskoEstonian Genome Center, University of Tartu, Tartu 50090, Estonia; Institute of Molecular and Cell Biology, University of Tartu, Tartu 50090, Estonia.
Ivon CuscóHospital del Mar Research Institute (IMIM), Barcelona 08003, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona 08003, Spain.
Marta PuigInstitut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra (Barcelona) 08193, Spain.
Mikel EsnaolaCenter for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; Hospital del Mar Research Institute (IMIM), Barcelona 08003, Spain; Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain.
Judith ReinaHospital del Mar Research Institute (IMIM), Barcelona 08003, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona 08003, Spain.
Valerie SirouxINSERM-UJF, U823, Institut Albert Bonniot, 38042 Grenoble, France; Université Joseph Fourier - BP 53, 38041 Grenoble, France.
Emmanuelle BouzigonINSERM, UMRS-946, Genetic Variation of Human Diseases Unit, 75010 Paris, France; Université Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, 75010 Paris, France.
Rachel NadifINSERM, U1018, CESP Centre for Research in Epidemiology and Population Health, Respiratory and Environmental Epidemiology Team, 94807 Villejuif, France; Université Paris-Sud 11, UMRS 1018, 94807 Villejuif, France.
Eva ReinmaaEstonian Genome Center, University of Tartu, Tartu 50090, Estonia.
Lili MilaniEstonian Genome Center, University of Tartu, Tartu 50090, Estonia.
Mariona BustamanteCenter for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; Hospital del Mar Research Institute (IMIM), Barcelona 08003, Spain; Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Genes and Disease Group, Centre for Genomic Regulation (CRG), Barcelona 08003, Spain.
Deborah JarvisNational Heart and Lung Institute, Imperial College, London SW7 2AZ, UK.
Josep M AntóCenter for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; Hospital del Mar Research Institute (IMIM), Barcelona 08003, Spain; Department of Mathematics, Universitat Autònoma de Barcelona, Bellaterra (Barcelona) 08193, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain.
Jordi SunyerCenter for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; Hospital del Mar Research Institute (IMIM), Barcelona 08003, Spain; Department of Mathematics, Universitat Autònoma de Barcelona, Bellaterra (Barcelona) 08193, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain.
Florence DemenaisINSERM, UMRS-946, Genetic Variation of Human Diseases Unit, 75010 Paris, France; Université Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, 75010 Paris, France.
Manolis KogevinasCenter for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; Hospital del Mar Research Institute (IMIM), Barcelona 08003, Spain; Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; National School of Public Health, Athens 115 21, Greece.
Andres MetspaluEstonian Genome Center, University of Tartu, Tartu 50090, Estonia; Institute of Molecular and Cell Biology, University of Tartu, Tartu 50090, Estonia.
Mario CáceresInstitut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra (Barcelona) 08193, Spain; Institució Catalana de Recerca i Estudis Avancats (ICREA), Barcelona 08010, Spain.
Luis A Pérez-JuradoHospital del Mar Research Institute (IMIM), Barcelona 08003, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona 08003, Spain. Electronic address: luis.perez@upf.edu.
Center for Research in Environmental Epidemiology · ESUniversitat Autònoma de Barcelona · ESUniversity of Tartu · EEInserm · FRUniversitat Pompeu Fabra · ESImperial College London · GBInstitució Catalana de Recerca i Estudis Avançats · ESUniversité Paris-Sud · FR

Funding

European Research Council 243212
6 · The paper itself

Abstract

The prevalence of asthma and obesity is increasing worldwide, and obesity is a well-documented risk factor for asthma. The mechanisms underlying this association and parallel time trends remain largely unknown but genetic factors may be involved. Here, we report on a common ~0.45 Mb genomic inversion at 16p11.2 that can be accurately genotyped via SNP array data. We show that the inversion allele protects against the joint occurrence of asthma and obesity in five large independent studies (combined sample size of 317 cases and 543 controls drawn from a total of 5,809 samples; combined OR = 0.48, p = 5.5 × 10(-6)). Allele frequencies show remarkable worldwide population stratification, ranging from 10% in East Africa to 49% in Northern Europe, consistent with discordant and extreme genetic drifts or adaptive selections after human migration out of Africa. Inversion alleles strongly correlate with expression levels of neighboring genes, especially TUFM (p = 3.0 × 10(-40)) that encodes a mitochondrial protein regulator of energy balance and inhibitor of type 1 interferon, and other candidates for asthma (IL27) and obesity (APOB48R and SH2B1). Therefore, by affecting gene expression, the ~0.45 Mb 16p11.2 inversion provides a genetic basis for the joint susceptibility to asthma and obesity, with a population attributable risk of 39.7%. Differential mitochondrial function and basal energy balance of inversion alleles might also underlie the potential selection signature that led to their uneven distribution in world populations.

Indexed as

AdultAlgorithmsAllelesAsthmaChromosome InversionChromosome MappingChromosomes, Human, Pair 16Cohort StudiesFemaleGene Expression RegulationGene FrequencyGenetic Predisposition to DiseaseGenetics, PopulationGenome, HumanGenotypeHaplotypes

Identifiers

PMID24560518
PMCPMC3951940
OpenAlexW2003579053

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.