scholarly journals P.0803 Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID-lockdown

2021 ◽  
Vol 53 ◽  
pp. S587-S588
Author(s):  
K.F. Ahrens ◽  
R.J. Neumann ◽  
N.M. Von Werthern ◽  
T.M. Kranz ◽  
B. Kollmann ◽  
...  
2020 ◽  
Author(s):  
Laura Schellhas ◽  
Elis Haan ◽  
Kayleigh Easey ◽  
Robyn E Wootton ◽  
Hannah Sallis ◽  
...  

Background and aims: Previous studies suggest an association between maternal tobacco and caffeine consumption during and outside of pregnancy and offspring mental health. We used an intergenerational polygenic risk scores (PRS) approach to disentangle effects of the maternal environment (intrauterine or postnatal) and pleiotropic genetic effects. Specifically, we 1) validated smoking and caffeine PRS derived from published GWAS for use during pregnancy, 2) compared estimated effects of maternal and offspring PRS on childhood mental health outcomes, and 3) tested associations between maternal and offspring PRS on their own outcomes. Design: PRS were created for smoking and caffeine consumption for 8,196 mothers and 8,237 offspring from the Avon Longitudinal Study of Parents and Children (ALSPAC). Outcomes included mostly mental health and some non-mental health phenotypes (I.e. substance use, personality, BMI and sociodemographic variables). For mothers, 79 phenotypes assessed during and outside of pregnancy, and for offspring, 71 phenotypes assessed in childhood (<10 years) and adolescence (11-18 years) were included. Linear and logistic regressions were run to assess PRS in relation to maternal and offspring phenotypes. Findings: First, the maternal smoking and caffeine PRS were associated with these behaviours during pregnancy. Second, the maternal and offspring smoking PRS both showed evidence (permutation corrected P < 0.05) of association with reduced anxiety symptoms in childhood (βmaternal = -0.033; βoffspring= -0.031) and increased conduct disorder symptoms (βmaternal= 0.024; βoffspring= 0.030). Finally, the maternal and offspring smoking PRS were associated with own sensation seeking phenotypes in mothers and adolescence (e.g. increased symptoms of externalising disorders, extraversion, and monotony avoidance), but the caffeine PRS showed weaker evidence for associations with mental health outcomes. Our results indicate that the smoking PRS is most likely pleiotropic with sensation seeking personality traits. However, these results need replication in independent samples, using techniques more robust to pleiotropy.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 286-286
Author(s):  
Anatoliy Yashin ◽  
Dequing Wu ◽  
Konstantin Arbeev ◽  
Arseniy Yashkin ◽  
Galina Gorbunova ◽  
...  

Abstract Persistent stress of external or internal origin accelerates aging, increases risk of aging related health disorders, and shortens lifespan. Stressors activate stress response genes, and their products collectively influence traits. The variability of stressors and responses to them contribute to trait heterogeneity, which may cause the failure of clinical trials for drug candidates. The objectives of this paper are: to address the heterogeneity issue; to evaluate collective interaction effects of genetic factors on Alzheimer’s disease (AD) and longevity using HRS data; to identify differences and similarities in patterns of genetic interactions within two genders; and to compare AD related genetic interaction patterns in HRS and LOADFS data. To reach these objectives we: selected candidate genes from stress related pathways affecting AD/longevity; implemented logistic regression model with interaction term to evaluate effects of SNP-pairs on these traits for males and females; constructed the novel interaction polygenic risk scores for SNPs, which showed strong interaction potential, and evaluated effects of these scores on AD/longevity; and compared patterns of genetic interactions within the two genders and within two datasets. We found there were many genes involved in highly significant interactions that were the same and that were different within the two genders. The effects of interaction polygenic risk scores on AD were strong and highly statistically significant. These conclusions were confirmed in analyses of interaction effects on longevity trait using HRS data. Comparison of HRS to LOADFS data showed that many genes had strong interaction effects on AD in both data sets.


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