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1
Immune marker levels in severe mental disorders: associations with polygenic risk scores of related mental phenotypes and psoriasis
In: Transl Psychiatry (2022)
Abstract: Several lines of evidence implicate immune abnormalities in the pathophysiology of severe mental disorders (SMD) and comorbid mental disorders. Here, we use the data from genome-wide association studies (GWAS) of autoimmune diseases and mental phenotypes associated with SMD to disentangle genetic susceptibilities of immune abnormalities in SMD. We included 1004 patients with SMD and 947 healthy controls (HC) and measured plasma levels of IL-1Ra, sIL-2R, gp130, sTNFR-1, IL-18, APRIL, and ICAM-1. Polygenic risk scores (PRS) of six autoimmune disorders, CRP, and 10 SMD-related mental phenotypes were calculated from GWAS. General linear models were applied to assess the association of PRS with immune marker abnormalities. We found negative associations between PRS of educational attainment and IL-1Ra (P = 0.01) and IL-18 (P = 0.01). There were nominal positive associations between PRS of psoriasis and sgp130 (P = 0.02) and PRS of anxiety and IL-18 (P = 0.03), and nominal negative associations between PRS of anxiety and sIL-2R (P = 0.02) and PRS of educational attainment and sIL-2R (P = 0.03). Associations explained minor amounts of the immune marker plasma-level difference between SMD and HC. Different PRS and immune marker associations in the SMD group compared to HC were shown for PRS of extraversion and IL-1Ra ([interaction effect (IE), P = 0.002), and nominally for PRS of openness and IL-1Ra (IE, P = 0.02) and sTNFR-1 (IE, P = 0.04). Our findings indicate polygenic susceptibilities to immune abnormalities in SMD involving genetic overlap with SMD-related mental phenotypes and psoriasis. Associations might suggest immune genetic factors of SMD subgroups characterized by autoimmune or specific mental features.
Keyword: Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792001/
https://doi.org/10.1038/s41398-022-01811-6
http://www.ncbi.nlm.nih.gov/pubmed/35082268
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2
1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans
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3
C9orf72, age at onset, and ancestry help discriminate behavioral from language variants in FTLD cohorts.
In: Neurology, vol 95, iss 24 (2020)
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4
C9orf72, age at onset, and ancestry help discriminate behavioral from language variants in FTLD cohorts
Costa, Beatrice; Manzoni, Claudia; Bernal-Quiros, Manuel. - : American Academy of Neurology, 2020
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5
C9orf72, age at onset, and ancestry help discriminate behavioral from language variants in FTLD cohorts
In: Neurology (2020)
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6
C9orf72, age at onset, and ancestry help discriminate behavioral from language variants in FTLD cohorts
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7
Enrichment of genetic markers of recent human evolution in educational and cognitive traits.
In: Scientific reports, vol 8, iss 1 (2018)
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8
Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence.
In: Nature genetics, vol 50, iss 7 (2018)
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9
Multi-Trait Analysis of GWAS and Biological Insights Into Cognition: A Response to Hill (2018).
In: Twin research and human genetics : the official journal of the International Society for Twin Studies, vol 21, iss 5 (2018)
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10
Enrichment of genetic markers of recent human evolution in educational and cognitive traits
Srinivasan, Saurabh; Bettella, Francesco; Frei, Oleksandr. - : Nature Publishing Group UK, 2018
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11
Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex
In: ISSN: 1931-7557 ; EISSN: 1931-7565 ; Brain imaging and behavior (Brain Imaging Behav) ; https://hal.archives-ouvertes.fr/hal-01382787 ; Brain imaging and behavior (Brain Imaging Behav), Secaucus, NJ : Springer, 2017, 11 (5), pp.1497-1514. ⟨10.1007/s11682-016-9629-z⟩ (2017)
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12
Novel genetic loci associated with hippocampal volume
In: ISSN: 2041-1723 ; EISSN: 2041-1723 ; Nature Communications ; https://hal.archives-ouvertes.fr/hal-01488337 ; Nature Communications, Nature Publishing Group, 2017, 8, pp.13624. ⟨10.1038/ncomms13624⟩ (2017)
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13
ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide
In: ISSN: 1053-8119 ; EISSN: 1095-9572 ; NeuroImage ; https://hal.archives-ouvertes.fr/hal-01380998 ; NeuroImage, Elsevier, 2015, ⟨10.1016/j.neuroimage.2015.11.057⟩ (2015)
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14
Common genetic variants influence human subcortical brain structures.
In: ISSN: 0028-0836 ; EISSN: 1476-4679 ; Nature ; https://hal.archives-ouvertes.fr/hal-01196805 ; Nature, Nature Publishing Group, 2015, 520 (7546), pp.224-9. ⟨10.1038/nature14101⟩ (2015)
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15
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
In: ISSN: 1931-7557 ; EISSN: 1931-7565 ; Brain imaging and behavior (Brain Imaging Behav) ; https://hal-pasteur.archives-ouvertes.fr/pasteur-01967166 ; Brain imaging and behavior (Brain Imaging Behav), Secaucus, NJ : Springer, 2014, 8 (2), pp.152-182. ⟨10.1007/s11682-013-9269-5⟩ (2014)
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