Evidence map›Paper›PMID 30519892›Full record

ArticleBrain structure & function2019

eQTL of KCNK2 regionally influences the brain sulcal widening: evidence from 15,597 UK Biobank participants with neuroimaging data.

Yann Le Guen, Cathy Philippe, Denis Riviere, Hervé Lemaitre, Antoine Grigis, Clara Fischer, Ghislaine Dehaene-Lambertz, Jean-François Mangin, Vincent Frouin

Open access · hybridAbstract read
In one paragraph

Article in Brain structure & function, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

9 authors at 3 institutions in 1 country.

Yann Le GuenUNATI, Institut Joliot, CEA, Université Paris-Saclay, Neurospin, CEA Saclay, Neurospin Bâtiment 145, 91191, Gif-sur-Yvette Cedex, France. yleguen@stanford.edu.ORCID http://orcid.org/0000-0001-6649-8364
Cathy PhilippeUNATI, Institut Joliot, CEA, Université Paris-Saclay, Neurospin, CEA Saclay, Neurospin Bâtiment 145, 91191, Gif-sur-Yvette Cedex, France.
Denis RiviereUNATI, Institut Joliot, CEA, Université Paris-Saclay, Neurospin, CEA Saclay, Neurospin Bâtiment 145, 91191, Gif-sur-Yvette Cedex, France.
Hervé LemaitreInstitut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging and Psychiatry", Faculté de médecine, Université Paris-Sud, Le Kremlin-Bicêtre, France.
Antoine GrigisUNATI, Institut Joliot, CEA, Université Paris-Saclay, Neurospin, CEA Saclay, Neurospin Bâtiment 145, 91191, Gif-sur-Yvette Cedex, France.
Clara FischerUNATI, Institut Joliot, CEA, Université Paris-Saclay, Neurospin, CEA Saclay, Neurospin Bâtiment 145, 91191, Gif-sur-Yvette Cedex, France.
Ghislaine Dehaene-LambertzINSERM, UMR992, Institut Joliot, CEA, Université Paris-Saclay, Neurospin, Gif-sur-Yvette, France.
Jean-François ManginUNATI, Institut Joliot, CEA, Université Paris-Saclay, Neurospin, CEA Saclay, Neurospin Bâtiment 145, 91191, Gif-sur-Yvette Cedex, France.
Vincent FrouinUNATI, Institut Joliot, CEA, Université Paris-Saclay, Neurospin, CEA Saclay, Neurospin Bâtiment 145, 91191, Gif-sur-Yvette Cedex, France.ORCID http://orcid.org/0000-0001-9360-6623
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInserm · FRUniversité Paris-Sud · FR

Funding

H2020 European Research Council 720270 (HBPSGA1)H2020 European Research Council 785907 (HBPSGA2)Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

The grey and white matter volumes are known to reduce with age. This cortical shrinkage is visible on magnetic resonance images and is conveniently identified by the increased volume of cerebrospinal fluid in the sulci between two gyri. Here, we replicated this finding using the UK Biobank dataset and studied the genetic influence on these cortical features of aging. We divided all individuals genetically confirmed of British ancestry into two sub-cohorts (12,162 and 3435 subjects for discovery and replication samples, respectively). We found that the heritability of the sulcal opening ranges from 15 to 45% (SE = 4.8%). We identified 4 new loci that contribute to this opening, including one that also affects the sulci grey matter thickness. We identified the most significant variant (rs864736) on this locus as being an expression quantitative trait locus (eQTL) for the KCNK2 gene. This gene regulates the immune-cell into the central nervous system (CNS) and controls the CNS inflammation, which is implicated in cortical atrophy and cognitive decline. These results expand our knowledge of the genetic contribution to cortical shrinking and promote further investigation into these variants and genes in pathological context such as Alzheimer's disease in which brain shrinkage is a key biomarker.

Indexed as

Quantitative Trait LociAgedBiological Specimen BanksBrainFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingOrgan SizePotassium Channels, Tandem Pore Domainpotassium channel protein TREK-1Potassium Channels, Tandem Pore DomainBrain ageingCSFGM thicknessGWASImaging geneticsSulci widening

Identifiers

PMID30519892
PMCPMC6420450
OpenAlexW2950519955

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.