Evidence map›Paper›PMID 30965038›Full record

ArticleExperimental neurology2019

Insulin resistance: Genetic associations with depression and cognition in population based cohorts.

Sophia Frangou, Masoud Shirali, Mark J Adams, David M Howard, Jude Gibson, Lynsey S Hall, Blair H Smith, Sandosh Padmanabhan, Alison D Murray, David J Porteous and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Experimental neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

14 authors at 8 institutions in 2 countries.

Sophia FrangouDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: sophia.frangou@mssm.edu.
Masoud ShiraliDivision of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK.
Mark J AdamsDivision of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK.
David M HowardDivision of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK.
Jude GibsonDivision of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK.
Lynsey S HallDivision of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK.
Blair H SmithDivision of Population Health Sciences, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
Sandosh PadmanabhanInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Alison D MurrayAberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK.
David J PorteousCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Generation Scotland, Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Chris S HaleyMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK.
Toni-Kim ClarkeDivision of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK.
Andrew M McIntoshDivision of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK.
Royal Edinburgh Hospital · GBEdinburgh Cancer Research · GBIcahn School of Medicine at Mount Sinai · USInstitute of Genetics and Cancer · GBUniversity of Aberdeen · GBUniversity of Dundee · GBUniversity of Edinburgh · GBUniversity of Glasgow · GB

Funding

Brain connectivity and the role of myelin in PsychosisR01MH113619 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRANGOU, SOPHIA · 2018 to 2021
$2.5M
ENIGMA-SD: Understanding Sex Differences in Global Mental Health through ENIGMAR01MH116147 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2021
$2.5M
Medical Research Council G0700704Medical Research Council MC_UU_00007/10Medical Research Council MR/K026992/1NIMH NIH HHS R01 MH113619NIMH NIH HHS R01 MH116147Wellcome Trust
6 · The paper itself

Abstract

Insulin resistance, broadly defined as the reduced ability of insulin to exert its biological action, has been associated with depression and cognitive dysfunction in observational studies. However, it is unclear whether these associations are causal and whether they might be underpinned by other shared factors. To address this knowledge gap, we capitalized on the stability of genetic biomarkers through the lifetime, and on their unidirectional relationship with depression and cognition. Specifically, we determined the association between quantitative measures of cognitive function and depression and genetic instruments of insulin resistance traits in two large-scale population samples, the Generation Scotland: Scottish Family Health Study (GS: SFHS; N = 19,994) and in the UK Biobank (N = 331,374). In the GS:SFHS, the polygenic risk score (PRS) for fasting insulin was associated with verbal intelligence and depression while the PRS for the homeostasis model assessment of insulin resistance was associated with verbal intelligence. Despite this overlap in genetic architecture, Mendelian randomization analyses in the GS:SFHS and in the UK Biobank samples did not yield evidence for causal associations from insulin resistance traits to either depression or cognition. These findings may be due to weak genetic instruments, limited cognitive measures and insufficient power but they may also indicate the need to identify other biological mechanisms that may mediate the relationship from insulin resistance to depression and cognition.

Indexed as

CognitionAdolescentAdultAgedAged, 80 and overAgingBiomarkersCohort StudiesDepressionFemaleGenetic Predisposition to DiseaseHumansInsulin ResistanceIntelligenceMaleMiddle AgedBiomarkersCognitionDepressionGenetic associationInsulin resistanceMendelian randomizationPolygenic risk scores

Identifiers

PMID30965038
PMCPMC6503941
OpenAlexW2933115850

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.