Evidence map›Paper›PMID 24890885›Full record

ArticleInternational journal of obesity (2005)2015

A nonsense loss-of-function mutation in PCSK1 contributes to dominantly inherited human obesity.

J Philippe, P Stijnen, D Meyre, F De Graeve, D Thuillier, J Delplanque, G Gyapay, O Sand, J W Creemers, P Froguel and 1 more

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In one paragraph

Article in International journal of obesity (2005), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
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  7. Hallmarks of the metabolic secretome.Trends in endocrinology and metabolism: TEM · 2024
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  8. Rare HeterozygousGenes · 2022
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  9. Article
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  11. Article
  12. Article
  13. Article
  14. A novel mutation in the mouse Pcsk1 gene showing obesity and diabetes.Mammalian genome : official journal of the International Mammalian Genome Society · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
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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 6 institutions in 2 countries.

J Philippe1] CNRS-UMR8199, Institut de Biologie de Lille, Lille Pasteur Institute, Lille, France [2] Lille 2 University, Lille, France [3] European Genomic Institute for Diabetes (EGID), Lille, France.
P StijnenLaboratory for Biochemical Neuroendocrinology, Department of Human Genetics, KU Leuven, Leuven, Belgium.
D Meyre1] CNRS-UMR8199, Institut de Biologie de Lille, Lille Pasteur Institute, Lille, France [2] Lille 2 University, Lille, France [3] European Genomic Institute for Diabetes (EGID), Lille, France [4] Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
F De Graeve1] CNRS-UMR8199, Institut de Biologie de Lille, Lille Pasteur Institute, Lille, France [2] Lille 2 University, Lille, France [3] European Genomic Institute for Diabetes (EGID), Lille, France.
D Thuillier1] CNRS-UMR8199, Institut de Biologie de Lille, Lille Pasteur Institute, Lille, France [2] Lille 2 University, Lille, France [3] European Genomic Institute for Diabetes (EGID), Lille, France.
J Delplanque1] CNRS-UMR8199, Institut de Biologie de Lille, Lille Pasteur Institute, Lille, France [2] Lille 2 University, Lille, France [3] European Genomic Institute for Diabetes (EGID), Lille, France.
G GyapayGenoscope, Evry, France.
O Sand1] CNRS-UMR8199, Institut de Biologie de Lille, Lille Pasteur Institute, Lille, France [2] Lille 2 University, Lille, France [3] European Genomic Institute for Diabetes (EGID), Lille, France.
J W CreemersLaboratory for Biochemical Neuroendocrinology, Department of Human Genetics, KU Leuven, Leuven, Belgium.
P Froguel1] CNRS-UMR8199, Institut de Biologie de Lille, Lille Pasteur Institute, Lille, France [2] Lille 2 University, Lille, France [3] European Genomic Institute for Diabetes (EGID), Lille, France [4] Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, United Kingdom.
A Bonnefond1] CNRS-UMR8199, Institut de Biologie de Lille, Lille Pasteur Institute, Lille, France [2] Lille 2 University, Lille, France [3] European Genomic Institute for Diabetes (EGID), Lille, France.
Institut de Biologie de Lille · FRInstitut Pasteur · FRKU Leuven · BECentre National de la Recherche Scientifique · FRGenoscope · FRUniversité de Lille · FR

Funding

Medical Research Council G1002084
6 · The paper itself

Abstract

backgroundA significant proportion of severe familial forms of obesity remain genetically elusive. Taking advantage of our unique cohort of multigenerational obese families, we aimed to assess the contribution of rare mutations in 29 common obesity-associated genes to familial obesity, and to evaluate in these families the putative presence of nine known monogenic forms of obesity.

methodsThrough next-generation sequencing, we sequenced the coding regions of 34 genes involved in polygenic and/or monogenic forms of obesity in 201 participants (75 normal weight individuals, 54 overweight individuals and 72 individuals with obesity class I, II or III) from 13 French families. In vitro functional analyses were performed to investigate the mutation PCSK1-p.Arg80* which was identified in a family.

resultsA novel heterozygous nonsense variant in PCSK1 (p.Arg80*), encoding a propeptide truncated to less than two exons (out of 14), was found to co-segregate with obesity in a three-generation family. We demonstrated that this mutation inhibits PCSK1 enzyme activity and that this inhibition most likely does not involve a strong physical interaction. Furthermore, both mutations PCSK1-p.Asn180Ser and POMC-p.Phe144Leu, which had previously been reported to be associated with severe obesity, were also identified in this study, but did not co-segregate with obesity. Finally, we did not identify any rare mutations co-segregating with obesity in common obesity susceptibility genes, except for CADM2 and QPCTL, where we found two novel variants (p.Arg81His and p.Leu98Pro, respectively) in three obese individuals.

conclusionsWe showed for the first time that a nonsense mutation in PCSK1 was likely to cause dominantly inherited human obesity, due to the inhibiting properties of the propeptide fragment encoded by the null allele. Furthermore, the present family sequencing design challenged the contribution of previously reported mutations to monogenic or at least severe obesity.

Indexed as

Codon, NonsenseFemaleFranceGenetic Predisposition to DiseaseGenotypeHumansMaleMolecular Sequence DataObesityPedigreeProprotein Convertase 1White PeopleCodon, NonsensePCSK1 protein, humanProprotein Convertase 1

Identifiers

PMID24890885
OpenAlexW2049163138

What OpenQuestion holds

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Registered trials

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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.