scholarly journals Dissecting the genetic overlap of education, socioeconomic status, and mental health

Author(s):  
F. R. Wendt ◽  
G. A. Pathak ◽  
T. Lencz ◽  
J. H. Krystal ◽  
J. Gelernter ◽  
...  

AbstractSocioeconomic status (SES) and education (EDU) are phenotypically associated with psychiatric disorders and behavior. It remains unclear how these associations influence the genetic risk for mental health traits and EDU/SES individually. Using information from >1 million individuals, we conditioned the genetic risk for psychiatric disorders, personality traits, brain imaging phenotypes, and externalizing behaviors with genome-wide data for EDU/SES. Accounting for EDU/SES significantly affected the observed heritability of psychiatric traits ranging from 2.44% h2 decrease for bipolar disorder to 29.0% h2 decrease for Tourette syndrome. Neuroticism h2 significantly increased by 20.23% after conditioning with SES. After EDU/SES conditioning, novel neuronal cell-types were identified for risky behavior (excitatory), major depression (inhibitory), schizophrenia (excitatory and GABAergic), and bipolar disorder (excitatory). Conditioning with EDU/SES also revealed unidirectional causality between brain morphology and mental health phenotypes. Our results indicate genetic discoveries of mental health outcomes may be limited by genetic overlap with EDU/SES.

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 2033 ◽  
Author(s):  
Janusz K. Rybakowski

This article focuses on some aspects of recent progress in the neurobiology and treatment of bipolar disorder (BD) in adults. A molecular-genetic approach to the etiopathogenesis of the illness resulted in the findings of a genetic overlap between BD and other major psychiatric disorders. Furthermore, a poly-gene-environmental interaction in the development of the illness has been demonstrated. For the management of BD, new drugs with putative mood-stabilizing properties have been introduced in the past two decades. However, none of these can surpass lithium, the prototype mood-stabilizer, still considered the most specific drug for BD. Recent research on lithium, besides providing new data on the neurobiology of BD, has confirmed anti-suicidal, immunomodulatory, and neuroprotective properties of this drug.


2020 ◽  
Vol 87 (9) ◽  
pp. S110 ◽  
Author(s):  
Frank Wendt ◽  
Gita Pathak ◽  
Todd Lencz ◽  
John Krystal ◽  
Joel Gelernter ◽  
...  

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S176-S176
Author(s):  
Amy Lynham ◽  
Jeremy Hall ◽  
Ian Jones ◽  
James Walters

Abstract Background Cognition is impaired in patient with psychosis and is predictive of functional outcomes. Despite this, cognitive function is not routinely assessed in clinical services in the United Kingdom. Collecting cognitive data for research is also labour-intensive and expensive. Web-based assessments may be a solution for these issues but to date, these have not been utilised in patients with psychosis or other psychiatric disorders. Methods We have developed an online cognitive battery for use in psychosis research (and broader mental health research) in collaboration with The Many Brains Project, website developers, patients and clinicians (Cardiff ONline Cognitive Assessment, CONCA). Tasks were selected to measure the domains outlined by the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative. We have undertaken a cross-validation study in those with schizophrenia (N=15), bipolar disorder (N=16), depression (N=15) and healthy controls (N=19) to compare the online tasks with the MATRICS battery. Following validation, we invited participants from the Cardiff Cognition in Schizophrenia Study (CardiffCOGS) and the National Centre for Mental Health (NCMH) to complete CONCA. Results Correlations between CONCA and MATRICS tasks ranged from 0.25 to 0.73 in our validation sample (N=65). A total of 6960 individuals were invited to participate and 1227 consented to take part. There was a better response rate from NCMH participants (who were recruited more recently) compared to those from CardiffCOGS. Online participants recruited from NCMH were more highly educated (W=1171600, p<0.001) and more likely to be professionals (χ2(1)=5.4, p=0.02) than the original NCMH cohort. In CardiffCOGS, online participants were more highly educated than non-responders (W=7786.5, p=0.003). A total of 887 individuals met inclusion criteria for our analyses including 43 participants with schizophrenia, 146 with bipolar disorder, 261 with unipolar depression, 187 controls and 250 participants with other psychiatric disorders. Consistent with studies using offline assessments, participants with schizophrenia were the most severely impaired group (compared to controls: g=1.36, p<0.001), exhibiting greater impairments than participants with depression (g=1.04, p<0.001) and bipolar disorder (g=0.71, p=0.002). Of note, lower performance on the battery was associated with poorer functional outcome as assessed using the World Health Organisation’s Disability Assessment Scale (B=-1.77, SE=0.3, p=5.8 x 10–9). Discussion Web-based cognitive testing is a suitable method for collecting large-scale data in psychiatric populations, although there was some evidence of recruitment bias. The results of the validation and recruitment phases were used to inform selection of the final battery. We consulted with patients and health professionals from a youth psychosis service and NCMH’s patient involvement group to create a user-friendly interface and will continue to work with these groups to develop clinically useful feedback to facilitate patient monitoring in early intervention psychosis services.


2018 ◽  
Author(s):  
Oliver Pain ◽  
Frank Dudbridge ◽  
Alastair G. Cardno ◽  
Daniel Freeman ◽  
Yi Lu ◽  
...  

AbstractThis study aimed to test for overlap in genetic influences between psychotic experience traits shown by adolescents in the community, and clinically-recognized psychiatric disorders in adulthood, specifically schizophrenia, bipolar disorder, and major depression. The full spectra of psychotic experience domains, both in terms of their severity and type (positive, cognitive, and negative), were assessed using self- and parent-ratings in three European community samples aged 15-19 years (Final N incl. siblings = 6,297-10,098). A mega-genome-wide association study (mega-GWAS) for each psychotic experience domain was performed. SNP-heritability of each psychotic experience domain was estimated using genomic-relatedness-based restricted maximum-likelihood (GREML) and linkage disequilibrium-(LD-) score regression. Genetic overlap between specific psychotic experience domains and schizophrenia, bipolar disorder, and major depression was assessed using polygenic risk scoring (PRS) and LD-score regression. GREML returned SNP-heritability estimates of 3-9% for psychotic experience trait domains, with higher estimates for less skewed traits (Anhedonia, Cognitive Disorganization) than for more skewed traits (Paranoia and Hallucinations, Parent-rated Negative Symptoms). Mega-GWAS analysis identified one genome-wide significant association for Anhedonia within IDO2 but which did not replicate in an independent sample. PRS analysis revealed that the schizophrenia PRS significantly predicted all adolescent psychotic experience trait domains (Paranoia and Hallucinations only in non-zero scorers). The major depression PRS significantly predicted Anhedonia and Parent-rated Negative Symptoms in adolescence. Psychotic experiences during adolescence in the community show additive genetic effects and partly share genetic influences with clinically-recognized psychiatric disorders, specifically schizophrenia and major depression.


2020 ◽  
Author(s):  
Jessica Mundy ◽  
Christopher Hübel ◽  
Joel Gelernter ◽  
Daniel Levey ◽  
Robin M. Murray ◽  
...  

AbstractBackgroundPosttraumatic stress disorder (PTSD) and major depressive disorder (MDD) are commonly reported co-occurring mental health consequences following psychological trauma exposure. The disorders have high genetic overlap. We investigated whether the genetics of PTSD were associated with reported trauma in individuals with MDD. Since trauma is associated with recurrent MDD, we also investigated whether the genetics of PTSD were associated with episode recurrence.MethodsGenetic correlations were estimated between PTSD and MDD in the presence and MDD in the absence of reported exposure to psychological trauma, and recurrent and single-episode MDD, based on genetic data from UK Biobank Mental Health Questionnaire respondents (N=157,358). Genetic correlations were replicated using PTSD data from the Psychiatric Genomics Consortium and Million Veteran Program. Polygenic risk scores were generated to investigate whether individuals with MDD who have higher genetic risk for PTSD were more likely to report psychological trauma than those with lower genetic risk.ResultsIndividuals with MDD with a higher genetic risk for PTSD were significantly more likely to report exposure to psychological trauma than those with lower risk [OR=1.06 (1.03-1.09) Empricial p<0.001]. PTSD was significantly more genetically correlated with recurrent MDD than with MDD in the absence of reported psychological trauma [rg differences = ∼0.2, p<0.008]. Participants who had experienced recurrent depressive episodes reported significantly higher trauma rates than participants who had experienced a single episode [chisquare>167, p<0.001].ConclusionsGenetic risk for PTSD in individuals with MDD may influence the way in which traumatic life events are perceived, responded to and reported.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aidin Abbaspour ◽  
Masoud Bahreini ◽  
Sherafat Akaberian ◽  
Kamran Mirzaei

Abstract Background Numerous bio-psychosocial factors play a role in the etiology of psychiatric disorders. In this regard, the relationship between parents and their children is significantly involved in developing the offspring mental health. However, there is no clear-cut answer as to which parental bonding style is more strongly associated with psychiatric diseases of patients. This study aimed to compare parental bonding styles in patients with schizophrenia, depression, and bipolar disorder in Bushehr province, Iran in 2018. Methods In this cross-sectional comparative study, 130 patients with schizophrenia, depression, and bipolar disorder who referred to four outpatients psychiatric centers in Bushehr were selected using quota sampling. The patients were assessed and compared in terms of parental bonding styles. Data were collected using a valid and reliable parental bonding instrument (PBI). Data were analyzed using SPSS software (ver. 22), Chi-square and Kruskal-Wallis tests at a significant level of 0.05. Results Results showed that the optimal parental bonding style (low control, high care) in bipolar disorder (43.05%), major depression (47.7%), and schizophrenia (38.5%) was the most prevalent style of parental bonding; however, 62.30% of the above patients suffered from inefficient paternal bonding styles and 51.53% from inefficient maternal bonding styles. Furthermore, the patients’ maternal bonding styles were significantly different (p = 0.007) while their paternal bonding styles did not show any significant differences (p = 0.848). Conclusions Most of the patients with psychiatric disorders were affected by ineffective parenting styles. The results also confirmed that despite the several bio-psycho-social factors involved in the development of psychiatric disorders, the crucial roles of parents, especially mothers, should not be ignored. It was further suggested that parents and parental bonding were important and fundamental factors for mental health promotion.


2020 ◽  
Author(s):  
Aidin Abbaspour ◽  
Masoud Bahreini ◽  
Sherafat Akaberian ◽  
Kamran Mirzaei

Abstract Background: Numerous bio-psychosocial factors play a role in the etiology of psychiatric disorders. In this regard, the relationship between parents and their children is significantly involved in developing the offspring mental health. However, there is no clear-cut answer as to which parental bonding style is more strongly associated with psychiatric diseases of patients. This study aimed to compare parental bonding styles in patients with schizophrenia, depression, and bipolar disorder in Bushehr province, Iran in 2018.Methods: In this cross-sectional comparative study, 130 patients with schizophrenia, depression, and bipolar disorder who referred to four outpatients psychiatric centers in Bushehr were selected using quota sampling. The patients were assessed and compared in terms of parental bonding styles. Data were collected using a valid and reliable parental bonding instrument (PBI). Data were analyzed using SPSS software (ver. 22), Chi-square and Kruskal-Wallis tests at a significant level of 0.05.Results: Results showed that the optimal parental bonding style (low control, high care) in bipolar disorder (43.05%), major depression (47.7%), and schizophrenia(38.5%) was the most prevalent style of parental bonding; however, 62.30% of the above patients suffered from inefficient paternal bonding styles and 51.53% from inefficient maternal bonding styles. Furthermore, the patients' maternal bonding styles were significantly different (p= 0.007) while their paternal bonding styles did not show any significant differences (p = 0.848).Conclusions: Most of the patients with psychiatric disorders were affected by ineffective parenting styles. The results also confirmed that despite the several bio-psycho-social factors involved in the development of psychiatric disorders, the crucial roles of parents, especially mothers, should not be ignored. It was further suggested that parents and parental bonding were important and fundamental factors for mental health promotion.


Author(s):  
Kristen Brennand

While much has been learned through clinical post-mortem and neuroimaging studies of patients and animal models of autism spectrum disorder (ASD), bipolar disorder (BD) and schizophrenia (SZ), these classical approaches have yet to fully elucidate the interaction of complex genetic risk factors on disease predisposition. The derivation of human induced pluripotent stem cells (hiPSCs) from patients with psychiatric disorders permits the study of the full complement of risk variants (known and unknown) that underlie disease predisposition, precisely in the cell types relevant to disease. The following chapter covers work to date regarding the advancements in the use of hiPSCs to model psychiatric disorders.


2020 ◽  
Author(s):  
Wikus Barkhuizen ◽  
Frank Dudbridge ◽  
Angelica Ronald

AbstractBackgroundEpidemiological research shows that smoking is associated with psychiatric disorders and psychotic experiences, even after controlling for confounds such as cannabis use and sleep problems. We investigated degree of genetic overlap and tested for causal associations between smoking and psychiatric traits and disorders using genetic data. We tested whether genetic associations existed beyond genetic influences shared with confounding variables.MethodsGenetic correlations were estimated with LD-score regression between smoking behaviours (N=262,990-632,802) and psychiatric disorders (schizophrenia, bipolar disorder and depression; N=41,653-173,005), psychotic experiences in adolescents (N=6,297-10,098) and adults (N=116,787-117,794) and adult schizotypy (N=3,967-4,057). Genomic Structural Equation Modelling was performed to explore the associations while accounting for genetic influences of confounders (cannabis and alcohol use, risk-taking and insomnia). Causal associations were tested using Generalized Summary-based Mendelian Randomization (GSMR).ResultsSignificant genetic correlations were found between smoking and psychiatric disorders (rg = .10 - .38) and adult PE (rg = .33 - .40). After accounting for covarying genetic influences, genetic associations between most smoking phenotypes and schizophrenia and depression remained but not between smoking behaviours and bipolar disorder or most psychotic experiences. GSMR results supported a causal role of smoking initiation on psychiatric disorders and adolescent cognitive and negative psychotic experiences.ConclusionsPleiotropy between smoking behaviours and schizophrenia and depression exists beyond the common genetic basis of known confounders. Smoking also appears to be causally associated with psychiatric disorders and with cognitive PEs and negative symptoms during adolescence. Exploration of the biological links underlying smoking and psychiatric illness would be well-justified.


2021 ◽  
Author(s):  
Joanna Martin ◽  
Kimiya Asjadi ◽  
Leon Hubbard ◽  
Kimberley Kendall ◽  
Antonio F. Pardiñas ◽  
...  

AbstractAnxiety and depression are common mental health disorders and have a higher prevalence in females. They are modestly heritable, share genetic liability with other psychiatric disorders, and are highly heterogeneous. There is evidence that genetic liability to neurodevelopmental disorders, such as attention deficit hyperactivity disorder (ADHD) is associated with anxiety and depression, particularly in females. We investigated sex differences in family history for neurodevelopmental and psychiatric disorders and neurodevelopmental genetic risk burden (indexed by ADHD polygenic risk scores (PRS) and rare copy number variants; CNVs) in individuals with anxiety and depression, also taking into account age at onset.We used two complementary datasets: 1) participants with a self-reported diagnosis of anxiety or depression (N=4,178, 65.5% female; mean age=41.5 years; N=1,315 with genetic data) from the National Centre for Mental Health (NCMH) cohort and 2) a clinical sample of 13,273 (67.6% female; mean age=45.2 years) patients with major depressive disorder (MDD) from the Psychiatric Genomics Consortium (PGC). We tested for sex differences in family history of psychiatric problems and presence of rare CNVs (neurodevelopmental and >500kb loci) in NCMH only and for sex differences in ADHD PRS in both datasets.In the NCMH cohort, females were more likely to report family history of neurodevelopmental and psychiatric disorders, but there were no robust sex differences in ADHD PRS or presence of rare CNVs. There was weak evidence of higher ADHD PRS in females compared to males in the PGC MDD sample, particularly in those with an early onset of MDD.These results do not provide strong evidence of sex differences in neurodevelopmental genetic risk burden in adults with anxiety and depression. This indicates that sex may not be a major index of neurodevelopmental genetic heterogeneity, that is captured by ADHD PRS and rare CNV burden, in adults with anxiety and depression.


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