Spousal correlations for nine psychiatric disorders are consistent across cultures and persistent over generations.

Trait similarities between spouses are a key factor that shapes the landscape of complex human traits. The driving force behind the spousal correlations can increase the overall prevalence of disorders, influence occurrences of comorbidities and bias estimations of genetic architectures. However, there is a lack of large-scale studies examining cultural differences and generational trends in spousal correlations for psychiatric disorders.

Education as a Modifier of Genetic Influence on Cognitive Ability in Older Adults.

Whether education modifies genetic influences on cognition has not been fully explored, especially in non-European populations. Using the older adult cohort from the Taiwan Biobank of East Asian populations, this study aimed to investigate the modifying effect of education on the association of the apolipoprotein E (APOE) ε4 allele and polygenic scores (PGS) for Alzheimer's disease (PGS), cognitive performance (PGS), education attainment (PGS), and schizophrenia (PGS) with cognitive ability. Participants aged > 60 years were included in this cohort study.

Multi-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traits.

Background: Genetic research on nicotine dependence has utilized multiple assessments that are in weak agreement.

Methods: We conducted a genome-wide association study (GWAS) of nicotine dependence defined using the Diagnostic and Statistical Manual of Mental Disorders (DSM-NicDep) in 61,861 individuals (47,884 of European ancestry [EUR], 10,231 of African ancestry, and 3,746 of East Asian ancestry) and compared the results to other nicotine-related phenotypes.

Results: We replicated the well-known association at the locus (lead single-nucleotide polymorphism [SNP]: rs147144681,  = 1.

Measuring the Associations Between Brain Morphometry and Polygenic Risk Scores for Substance use Disorders in Drug-Naive Adolescents.

Substance use has been associated with differences in adult brain morphology; however, it is unclear whether these differences precede or are a result of substance use substance use. We investigated the impact of polygenic risk scores (PRSs) for cannabis use disorder (CUD) and general substance use and substance use disorder liability (SU/SUD) on brain morphology in drug-naïve adolescents. Baseline data were used from 1874 European-descent participants (ages 9-11) comprising 222, 328 and 387 pairs of MZ twins, DZ twins, and Non-Twin Siblings, respectively, in the Adolescent Brain Cognitive Development Study.

Measuring the associations between brain morphometry and polygenic risk scores for substance use disorders in drug-naive adolescents.

Substance use has been associated with differences in adult brain morphology; however, it is unclear whether these differences precede or are a result of substance use substance use. We investigated the impact of polygenic risk scores (PRSs) for cannabis use disorder (CUD) and general substance use and substance use disorder liability (SU/SUD) on brain morphology in drug-naïve adolescents. Baseline data were used from 1,874 European-descent participants (ages 9-11) comprising 222, 328 and 387 pairs of MZ twins, DZ twins, and Non-Twin Siblings, respectively, in the Adolescent Brain Cognitive Development Study.

The independent role of fine particulate matter and genetic liability on cognition in older adults.

Background: Genetic susceptibility to mental health and cognitive traits, as well as air pollution, significantly impact cognition. The interplay between polygenic liability and fine particulate matter (PM) remains unclear due to the limited number of large-scale studies in Asia. This study utilized the Taiwan Biobank, a nationwide community-based database, to investigate the main and modified effect of PM on individuals' polygenic susceptibility in cognition.

Incorporating Polygenic Liability and Family History for Predicting Psychiatric Diseases in the Taiwan Biobank.

Background: In this study, we investigated the interplay between molecular measures of polygenic risk scores (PRSs) and conventional measures of family history (FH) on the risk of 4 psychiatric disorders: schizophrenia (SCZ), bipolar disorder (BPD), major depressive disorder (MDD), and obsessive-compulsive disorder (OCD) in community samples of East Asian populations. We examined the individual and joint associations and the relative contributions of PRS and FH and evaluated the potential of combining transdiagnostic PRSs and FHs to improve risk prediction.

Methods: The genotyping of 106,581 unrelated participants from the Taiwan Biobank was linked to the National Health Insurance Research Database to retrieve information on ICD-defined diseases and FH.

Multi-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traits.

Genetic research on nicotine dependence has utilized multiple assessments that are in weak agreement. We conducted a genome-wide association study of nicotine dependence defined using the Diagnostic and Statistical Manual of Mental Disorders (DSM-NicDep) in 61,861 individuals (47,884 of European ancestry, 10,231 of African ancestry, 3,746 of East Asian ancestry) and compared the results to other nicotine-related phenotypes. We replicated the well-known association at the locus (lead SNP: rs147144681, p =1.

Genomics yields biological and phenotypic insights into bipolar disorder.

Bipolar disorder is a leading contributor to the global burden of disease. Despite high heritability (60-80%), the majority of the underlying genetic determinants remain unknown. We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.

The Mechanisms Underlying the Intergenerational Transmission of Substance Use and Misuse: An Integrated Research Approach.

Substance use and substance use disorders run in families. While it has long been recognized that the etiology of substance use behaviors and disorders involves a combination of genetic and environmental factors, two key questions remain largely unanswered: (1) the intergenerational transmission through which these genetic predispositions are passed from parents to children, and (2) the molecular mechanisms linking genetic variants to substance use behaviors and disorders. This article aims to provide a comprehensive conceptual framework and methodological approach for investigating the intergenerational transmission of substance use behaviors and disorders, by integrating genetic nurture analysis, gene expression imputation, and weighted gene co-expression network analysis.

Familial coaggregation and shared genetic influence between major depressive disorder and gynecological diseases.

The mechanism underlying the co-occurrence of major depressive disorder (MDD) and gynecological diseases remains unclear. This study aimed to investigate the familial co-aggregation and shared genetic loading between MDD and gynecological diseases, namely dysmenorrhea, endometriosis, uterine leiomyomas (UL), and polycystic ovary syndrome (PCOS). Overall, 2,121,632 females born 1970-1999 with parental information were enrolled from the Taiwan National Health Insurance Research Database (NHIRD); 25,142 same-sex twins and 951,779 persons with full-sibling(s) were selected.

Assortative mating across nine psychiatric disorders is consistent and persistent over cultures and generations.

Emerging evidence has shown that assortative mating (AM) is a key factor that shapes the landscape of complex human traits. It can increase the overall prevalence of disorders, influence occurrences of comorbidities, and bias estimation of genetic architectures. However, there is lack of large-scale studies to examine the cultural differences and the generational trends of AM for psychiatric disorders.

A population-based study of familial coaggregation and shared genetic etiology of psychiatric and gastrointestinal disorders.

Background: It has been proposed that having a psychiatric disorder could increase the risk of developing a gastrointestinal disorder, and vice versa. The role of familial coaggregation and shared genetic loading between psychiatric and gastrointestinal disorders remains unclear.

Methods: This study used the Taiwan National Health Insurance Research Database; 4,504,612 individuals born 1970-1999 with parental information, 51,664 same-sex twins, and 3,322,959 persons with full-sibling(s) were enrolled.

Associations of Polygenic Risk for Depression, Traditional Chinese Medicine Constitution, and Depression: A Population-Based Study in Taiwan.

To comprehensively investigate the risk factors associated with depression, traditional Chinese medicine constitution (TCMC) has been found to be related to depression. However, the underlying mechanism remains unclear. This study examined the association between the concept of unbalanced TCMCs and major depressive disorder (MDD), investigated the overlapping polygenic risks between unbalanced TCMC and MDD, and performed a mediation test to establish potential pathways.

Causal influence of sleeping phenotypes on the risk of coronary artery disease and sudden cardiac arrest: A Mendelian randomization analysis.

Objectives: To assess the causal influence of sleep and circadian traits on coronary artery disease and sudden cardiac arrest with adjustment for obesity through a two-sample Mendelian randomization study.

Methods: We used summary statistics of 5 sleep and circadian traits for genome-wide association studies, including chronotype, sleep duration, long sleep (≥9 h a day), short sleep (<7 h a day), and insomnia (sample size range: 237,622-651,295). Coronary artery disease genome-wide association studies with 60,801 cases and 123,504 controls, sudden cardiac arrest genome-wide association studies with 3939 cases and 25,989 controls, and obesity genome-wide association studies with 806,834 individuals were also used.

Investigating genetic variants for treatment response to selective serotonin reuptake inhibitors in syndromal factors and side effects among patients with depression in Taiwanese Han population.

Major depressive disorder (MDD) is associated with high heterogeneity in clinical presentation. In addition, response to treatment with selective serotonin reuptake inhibitors (SSRIs) varies considerably among patients. Therefore, identifying genetic variants that may contribute to SSRI treatment responses in MDD is essential.

Associations of polygenic risks, depression, and obesity-related traits in Taiwan Biobank.

Background: The comorbidity of obesity and major depressive disorder (MDD) may be attributable to a bidirectional relationship and shared genetic influence. We aimed to examine the polygenic associations between obesity and MDD and to characterize their corresponding impacts on the obesity mechanism.

Methods: Genome-wide genotyping was available in 106,604 unrelated individuals from Taiwan Biobank.

Causality of abdominal obesity on cognition: a trans-ethnic Mendelian randomization study.

Background: Obesity has been associated with cognition in observational studies; however, whether its effect is confounding or a reverse causality remains inconclusive. This study aimed to investigate the causal relationships of overall obesity, measured by body mass index (BMI), and abdominal adiposity, measured by waist-hip ratio adjusted for BMI (WHRadjBMI), and cognition across European and Asian populations using Mendelian randomization (MR) analysis.

Methods: We used publicly available genome-wide association study (GWAS) summary data of European ancestry, including BMI (n = 322,154) and WHRadjBMI (n = 210,088) from the GIANT consortium, and cognition performance (n = 257,828) from the UK Biobank and COGENT consortium.

Familial aggregation and shared genetic loading for major psychiatric disorders and type 2 diabetes.

Aims/hypothesis: Psychiatric disorders, such as schizophrenia (SCZ), major depressive disorder (MDD) and bipolar disorder (BPD), are highly comorbid with type 2 diabetes. However, the mechanisms underlying such comorbidity are understudied. This study explored the familial aggregation of common psychiatric disorders and type 2 diabetes by testing family history association, and investigated the shared genetic loading between them by testing the polygenic risk score (PRS) association.