Exploring the Role of Contactins across Psychological, Psychiatric and Cardiometabolic Traits within UK Biobank.
Biological Specimen Banks
Blood Pressure
/ genetics
Body Mass Index
Cardiometabolic Risk Factors
Cardiovascular Diseases
/ genetics
Comorbidity
Contactin 1
/ genetics
Contactins
/ genetics
Diabetes Mellitus, Type 2
/ genetics
Genetic Predisposition to Disease
/ genetics
Genetic Variation
/ genetics
Genome-Wide Association Study
/ methods
Mental Disorders
/ complications
Obesity
/ genetics
Phenotype
Polymorphism, Single Nucleotide
/ genetics
United Kingdom
Type 2 diabetes
UK Biobank
cardiometabolic diseases
contactins
gene expression
genetic variation
hypertension
psychiatric disorders
single nucleotide polymorphisms
Journal
Genes
ISSN: 2073-4425
Titre abrégé: Genes (Basel)
Pays: Switzerland
ID NLM: 101551097
Informations de publication
Date de publication:
10 11 2020
10 11 2020
Historique:
received:
26
10
2020
revised:
05
11
2020
accepted:
07
11
2020
entrez:
13
11
2020
pubmed:
14
11
2020
medline:
27
7
2021
Statut:
epublish
Résumé
Individuals with severe mental illness have an increased risk of cardiometabolic diseases compared to the general population. Shared risk factors and medication effects explain part of this excess risk; however, there is growing evidence to suggest that shared biology (including genetic variation) is likely to contribute to comorbidity between mental and physical illness. Contactins are a family of genes involved in development of the nervous system and implicated, though genome-wide association studies, in a wide range of psychological, psychiatric and cardiometabolic conditions. Contactins are plausible candidates for shared pathology between mental and physical health. We used data from UK Biobank to systematically assess how genetic variation in contactin genes was associated with a wide range of psychological, psychiatric and cardiometabolic conditions. We also investigated whether associations for cardiometabolic and psychological traits represented the same or distinct signals and how the genetic variation might influence the measured traits. We identified: A novel genetic association between variation in
Identifiants
pubmed: 33182605
pii: genes11111326
doi: 10.3390/genes11111326
pmc: PMC7697406
pii:
doi:
Substances chimiques
CNTN1 protein, human
0
CNTN4 protein, human
0
CNTN5 protein, human
0
Contactin 1
0
Contactins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S003061/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
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