Polygenic scores for psychiatric traits mediate the impact of multigenerational history for depression on offspring psychopathology.

A family history of depression is a well-documented risk factor for offspring psychopathology. However, the genetic mechanisms underlying the intergenerational transmission of depression remain unclear. We used genetic, family history, and diagnostic data from 11,875 9-10 year-old children from the Adolescent Brain Cognitive Development study. We estimated and investigated the children's polygenic scores (PGSs) for 30 distinct traits and their association with a family history of depression (including grandparents and parents) and the children's overall psychopathology through logistic regression analyses. We assessed the role of polygenic risk for psychiatric disorders in mediating the transmission of depression from one generation to the next. Among 11,875 multi-ancestry children, 8,111 participants had matching phenotypic and genotypic data (3,832 female [47.2%]; mean (SD) age, 9.5 (0.5) years), including 6,151 [71.4%] of European ancestry). Greater PGSs for depression (estimate = 0.129, 95% CI = 0.070-0.187) and bipolar disorder (estimate = 0.109, 95% CI = 0.051-0.168) were significantly associated with higher family history of depression (Bonferroni-corrected P < .05). Depression PGS was the only PGS that significantly associated with both family risk and offspring's psychopathology, and robustly mediated the impact of family history of depression on several youth psychopathologies including anxiety disorders, suicidal ideation, and any psychiatric disorder (proportions mediated 1.39%-5.87% of the total effect on psychopathology; FDR-corrected P < .05). These findings suggest that increased polygenic risk for depression partially mediates the associations between family risk for depression and offspring psychopathology, showing a genetic basis for intergenerational transmission of depression. Future approaches that combine assessments of family risk with polygenic profiles may offer a more accurate method for identifying children at elevated risk.

Subcortical volumes in offspring with a multigenerational family history of depression - A study across two cohorts.

BACKGROUND: Having multiple previous generations with depression in the family increases offspring risk for psychopathology. Parental depression has been associated with smaller subcortical brain volumes in their children, but whether two prior generations with depression is associated with further decreases is unclear. METHODS: Using two independent cohorts, 1) a Three-Generation Study (TGS, N = 65) with direct clinical interviews of adults and children across all three generations, and 2) the Adolescent Brain Cognitive Development Study (ABCD, N = 10,626) of 9-10 year-old children with family history assessed by a caregiver, we tested whether having more generations of depression in the family was associated with smaller subcortical volumes (using structural MRI). RESULTS: In TGS, caudate, pallidum and putamen showed decreasing volumes with higher familial risk for depression. Having a parent and a grandparent with depression was associated with decreased volume compared to having no familial depression in these regions. Putamen volume was associated with depression at eight-year follow-up. In ABCD, smaller pallidum and putamen were associated with family history, which was driven by parental depression, regardless of grandparental depression. LIMITATIONS: Discrepancies between cohorts could be due to interview type (clinical or self-report) and informant (individual or common informant), sample size or age. Future analyses of follow-up ABCD waves will be able to assess whether effects of grandparental depression on brain markers become more apparent as the children enter young adulthood. CONCLUSIONS: Basal ganglia regional volumes are significantly smaller in offspring with a family history of depression in two independent cohorts.

Channels of Evolution: Unveiling Evolutionary Patterns in Diatom Ca2+ Signalling.

Diatoms are important primary producers in marine and freshwater environments, but little is known about the signalling mechanisms they use to detect changes in their environment. All eukaryotic organisms use Ca2+ signalling to perceive and respond to environmental stimuli, employing a range of Ca2+-permeable ion channels to facilitate the movement of Ca2+ across cellular membranes. We investigated the distribution of different families of Ca2+ channels in diatom genomes, with comparison to other members of the stramenopile lineage. The four-domain voltage-gated Ca2+ channels (Cav) are present in some centric diatoms but almost completely absent in pennate diatoms, whereas single-domain voltage-gated EukCatA channels were found in all diatoms. Glutamate receptors (GLRs) and pentameric ligand-gated ion channels (pLGICs) also appear to have been lost in several pennate species. Transient receptor potential (TRP) channels are present in all diatoms, but have not undergone the significant expansion seen in brown algae. All diatom species analysed lacked the mitochondrial uniporter (MCU), a highly conserved channel type found in many eukaryotes, including several stramenopile lineages. These results highlight the unique Ca2+-signalling toolkit of diatoms and indicate that evolutionary gains or losses of different Ca2+ channels may contribute to differences in cellular-signalling mechanisms between species.

Helpful activities during the COVID-19 pandemic: Perceived benefits and actual association with psychiatric symptoms and psychological wellbeing.

BACKGROUND: Few studies have rigorously examined the effectiveness of commonly reported coping activities during the COVID-19 pandemic. This study was designed to assess perceived helpful activities during the pandemic and to investigate the extent to which these activities were associated with psychological outcomes. METHOD: Adults living in the US (N = 204), who were part of a longitudinal family study of depression responded to an online survey. They reported on their perceived helpful activities during the pandemic. General linear regression models (GLM) were used to evaluate the association between perceived helpful activities and current psychiatric symptoms, controlling for demographic factors, and pre-pandemic psychiatric history and symptoms. RESULTS: The top perceived helpful activity during COVID-19 was communicating with friends/family via telephone text or video (75.5 %). However, of the top five activities endorsed, cooking/baking was associated with the most clinical outcomes, including lower anxiety/depression and greater psychological wellbeing (all ps < 0.05). These relationships were most prominent among younger individuals < age 40 years, females, and those with recent psychiatric history, although they extended to younger males, and individuals at high or low depression risk. LIMITATIONS: Close ended items limited variability in coping activities reported. The study lacked data on substance use. The sample was racially and ethnically homogenous. CONCLUSIONS: These findings move beyond anecdotal evidence that cooking/baking as a coping activity yields protection against psychopathology. Its ready accessibility and ability to confer benefits across a range of individual characteristics, make it a useful adjunct in therapeutic interventions for people confined to their homes.

Pre- and Post-Pandemic Religiosity and Mental Health Outcomes: A Prospective Study.

Relatively few studies have prospectively examined the effects of known protective factors, such as religion, on pandemic-related outcomes. The aim of this study was to evaluate the pre- and post-pandemic trajectories and psychological effects of religious beliefs and religious attendance. Male and female adults (N = 189) reported their beliefs in religious importance (RI) and their religious attendance (RA) both before (T1) and after (T2) the pandemic's onset. Descriptive and regression analyses were used to track RI and RA from T1 to T2 and to test their effects on psychological outcomes at T1 and T2. The participants who reported a decrease in religious importance and attendance were greater in number than those who reported an increase, with RI (36.5% vs. 5.3%) and RA (34.4% vs. 4.8%). The individuals with decreased RI were less likely to know someone who had died from COVID-19 (O.R. =0.4, p = 0.027). The T1 RI predicted overall social adjustment (p < 0.05) and lower suicidal ideation (p = 0.05). The T2 RI was associated with lower suicidal ideation (p < 0.05). The online RA (T2) was associated with lower depression (p < 0.05) and lower anxiety (p < 0.05). Further research is needed to evaluate the mechanisms driving decreases in religiosity during pandemics. Religious beliefs and online religious attendance were beneficial during the pandemic, which bodes well for the use of telemedicine in therapeutic approaches.

Cognitive Function in People With Familial Risk of Depression.

Importance: Cognitive impairment in depression is poorly understood. Family history of depression is a potentially useful risk marker for cognitive impairment, facilitating early identification and targeted intervention in those at highest risk, even if they do not themselves have depression. Several research cohorts have emerged recently that enable findings to be compared according to varying depths of family history phenotyping, in some cases also with genetic data, across the life span. Objective: To investigate associations between familial risk of depression and cognitive performance in 4 independent cohorts with varied depth of assessment, using both family history and genetic risk measures. Design, Setting, and Participants: This study used data from the Three Generations at High and Low Risk of Depression Followed Longitudinally (TGS) family study (data collected from 1982 to 2015) and 3 large population cohorts, including the Adolescent Brain Cognitive Development (ABCD) study (data collected from 2016 to 2021), National Longitudinal Study of Adolescent to Adult Health (Add Health; data collected from 1994 to 2018), and UK Biobank (data collected from 2006 to 2022). Children and adults with or without familial risk of depression were included. Cross-sectional analyses were conducted from March to June 2022. Exposures: Family history (across 1 or 2 prior generations) and polygenic risk of depression. Main Outcomes and Measures: Neurocognitive tests at follow-up. Regression models were adjusted for confounders and corrected for multiple comparisons. Results: A total of 57 308 participants were studied, including 87 from TGS (42 [48%] female; mean [SD] age, 19.7 [6.6] years), 10 258 from ABCD (4899 [48%] female; mean [SD] age, 12.0 [0.7] years), 1064 from Add Health (584 [49%] female; mean [SD] age, 37.8 [1.9] years), and 45 899 from UK Biobank (23 605 [51%] female; mean [SD] age, 64.0 [7.7] years). In the younger cohorts (TGS, ABCD, and Add Health), family history of depression was primarily associated with lower performance in the memory domain, and there were indications that this may be partly associated with educational and socioeconomic factors. In the older UK Biobank cohort, there were associations with processing speed, attention, and executive function, with little evidence of education or socioeconomic influences. These associations were evident even in participants who had never been depressed themselves. Effect sizes between familial risk of depression and neurocognitive test performance were largest in TGS; the largest standardized mean differences in primary analyses were -0.55 (95% CI, -1.49 to 0.38) in TGS, -0.09 (95% CI, -0.15 to -0.03) in ABCD, -0.16 (95% CI, -0.31 to -0.01) in Add Health, and -0.10 (95% CI, -0.13 to -0.06) in UK Biobank. Results were generally similar in the polygenic risk score analyses. In UK Biobank, several tasks showed statistically significant associations in the polygenic risk score analysis that were not evident in the family history models. Conclusions and Relevance: In this study, whether assessed by family history or genetic data, depression in prior generations was associated with lower cognitive performance in offspring. There are opportunities to generate hypotheses about how this arises through genetic and environmental determinants, moderators of brain development and brain aging, and potentially modifiable social and lifestyle factors across the life span.

The effects of the pandemic on mental health in persons with and without a psychiatric history.

BACKGROUND: Prospective studies are needed to assess the influence of pre-pandemic risk factors on mental health outcomes following the COVID-19 pandemic. From direct interviews prior to (T1), and then in the same individuals after the pandemic onset (T2), we assessed the influence of personal psychiatric history on changes in symptoms and wellbeing. METHODS: Two hundred and four (19-69 years/117 female) individuals from a multigenerational family study were followed clinically up to T1. Psychiatric symptom changes (T1-to-T2), their association with lifetime psychiatric history (no, only-past, and recent psychiatric history), and pandemic-specific worries were investigated. RESULTS: At T2 relative to T1, participants with recent psychopathology (in the last 2 years) had significantly fewer depressive (mean, M = 41.7 v. 47.6) and traumatic symptoms (M = 6.6 v. 8.1, p < 0.001), while those with no and only-past psychiatric history had decreased wellbeing (M = 22.6 v. 25.0, p < 0.01). Three pandemic-related worry factors were identified: Illness/death, Financial, and Social isolation. Individuals with recent psychiatric history had greater Illness/death and Financial worries than the no/only-past groups, but these worries were unrelated to depression at T2. Among individuals with no/only-past history, Illness/death worries predicted increased T2 depression [B = 0.6(0.3), p < 0.05]. CONCLUSIONS: As recent psychiatric history was not associated with increased depression or anxiety during the pandemic, new groups of previously unaffected persons might contribute to the increased pandemic-related depression and anxiety rates reported. These individuals likely represent incident cases that are first detected in primary care and other non-specialty clinical settings. Such settings may be useful for monitoring future illness among newly at-risk individuals.

Regulation and integration of membrane transport in marine diatoms.

Diatoms represent one of the most successful groups of marine phytoplankton and are major contributors to ocean biogeochemical cycling. They have colonized marine, freshwater and ice environments and inhabit all regions of the World's oceans, from poles to tropics. Their success is underpinned by a remarkable ability to regulate their growth and metabolism during nutrient limitation and to respond rapidly when nutrients are available. This requires precise regulation of membrane transport and nutrient acquisition mechanisms, integration of nutrient sensing mechanisms and coordination of different transport pathways. This review outlines transport mechanisms involved in acquisition of key nutrients (N, C, P, Si, Fe) by marine diatoms, illustrating their complexity, sophistication and multiple levels of control.

Direct RNA sequencing of respiratory syncytial virus infected human cells generates a detailed overview of RSV polycistronic mRNA and transcript abundance.

To characterize species of viral mRNA transcripts generated during respiratory syncytial virus (RSV) infection, human fibroblast-like MRC-5 lung cells were infected with subgroup A RSV for 6, 16 and 24 hours. In addition, we characterised the viral transcriptome in infected Calu-3 lung epithelial cells at 48 hours post infection. Total RNA was harvested and polyadenylated mRNA was enriched and sequenced by direct RNA sequencing using an Oxford nanopore device. This platform yielded over 450,000 direct mRNA transcript reads which were mapped to the viral genome and analysed to determine the relative mRNA levels of viral genes using our in-house ORF-centric pipeline. We examined the frequency of polycistronic readthrough mRNAs were generated and assessed the length of the polyadenylated tails for each group of transcripts. We show a general but non-linear decline in gene transcript abundance across the viral genome, as predicted by the model of RSV gene transcription. However, the decline in transcript abundance is not uniform. The polyadenylate tails generated by the viral polymerase are similar in length to those generated by the host polyadenylation machinery and broadly declined in length for most transcripts as the infection progressed. Finally, we observed that the steady state abundance of transcripts with very short polyadenylate tails less than 20 nucleotides is less for N, SH and G transcripts in both cell lines compared to NS1, NS2, P, M, F and M2 which may reflect differences in mRNA stability and/or translation rates within and between the cell lines.

Association of Multigenerational Family History of Depression With Lifetime Depressive and Other Psychiatric Disorders in Children: Results from the Adolescent Brain Cognitive Development (ABCD) Study.

Importance: Three-generation family studies of depression have established added risk of psychopathology for offspring with 2 previous generations affected with depression compared with 1 or none. Because of their rigorous methodology, there are few of these studies, and existing studies are limited by sample sizes. Consequently, the 3-generation family risk paradigm established in family studies can be a critical neuropsychiatric tool if similar transmission patterns are reliably demonstrated with the family history method. Objective: To examine the association of multigenerational family history of depression with lifetime depressive disorders and other psychopathology in children. Design, Setting, and Participants: In this analysis of the Adolescent Brain Cognitive Development (ABCD) study data, retrospective, cross-sectional reports on psychiatric functioning among 11 200 children (generation 3 [G3]) and parent reports on parents' (G2) and grandparents' (G1) depression histories were analyzed. The ABCD study sampling weights were used for generalized estimating equation models and descriptive analyses. Data were collected from September 2016 to November 2018, and data were analyzed from July to November 2020. Main Outcomes and Measures: Four risk categories were created, reflecting how many prior generations had history of depression: (1) neither G1 nor G2 (G1-/G2-), (2) only G1 (G1+/G2-), (3) only G2 (G1-/G2+), and (4) both G1 and G2 (G1+/G2+). Child lifetime prevalence and relative risks of psychiatric disorders were based on child and caregiver reports and grouped according to familial risk category derived from G1 and G2 depression history. Results: Among 11 200 included children, 5355 (47.8%) were female, and the mean (SD) age was 9.9 (0.6) years. By parent reports, the weighted prevalence of depressive disorder among children was 3.8% (95% CI, 3.2-4.3) for G1-/G2- children, 5.5% (95% CI, 4.3-7.1) for G1+/G2- children, 10.4% (95% CI, 8.6-12.6) for G1-/G2+ children, and 13.3% (95% CI, 11.6-15.2) for G1+/G2+ children (Cochran-Armitage trend = 243.77; P < .001). The weighted suicidal behavior prevalence among children was 5.0% (95% CI, 4.5-5.6) for G1-/G2- children, 7.2% (95% CI, 5.8-8.9) for G1+/G2- children, 12.1% (95% CI, 10.1-14.4) for G1-/G2+ children, and 15.0% (95% CI, 13.2-17.0) for G1+/G2+ children (Cochran-Armitage trend = 188.66; P < .001). By child reports, the weighted prevalence of depressive disorder was 4.8% (95% CI, 4.3-5.5) for G1-/G2- children, 4.3% (95% CI, 3.2-5.7) for G1+/G2- children, 6.3% (95% CI, 4.9-8.1) for G1-/G2+ children, and 7.0% (95% CI, 5.8-8.5) for G1+/G2+ children (Cochran-Armitage trend = 9.01; P = .002), and the weighted prevalence of suicidal behaviors was 7.4% (95% CI, 6.7-8.2) for G1-/G2- children, 7.0% (95% CI, 5.6-8.6) for G1+/G2- children, 9.8% (95% CI, 8.1-12.0) for G1-/G2+ children, and 13.8% (95% CI, 12.1-15.8) for G1+/G2+ children (Cochran-Armitage trend = 46.69; P < .001). Similar patterns were observed for other disorders for both parent and child reports and across sex, socioeconomic status, and race/ethnicity. Conclusions and Relevance: In this study, having multiple prior affected generations was associated with increased risk of childhood psychopathology. Furthermore, these findings were detectable even at prepubertal ages and existed in diverse racial/ethnic and socioeconomic groups. Clinically, they underscore the need for screening for family history in pediatric settings and highlight implications for biological research with homogenous subgroups using magnetic resonance imaging or genetic analyses.

An Evidence-Based Framework for Implementation of a School-Community Partnership.

School-community partnerships (SCPs) are collaborative efforts between schools and community organizations geared toward improving the health of school-age children through care coordination. These partnerships are ideal for youth with acute and chronic illness because they can implement evidence-based interventions and offer skills and education to support youth self-management and academic success. Utilizing the chronic condition of asthma as an exemplar, this article highlights several successful SCPs and how they are mutually beneficial to both the school and community. Additionally, this article offers strategies for stakeholders, including school nurses, to establish an SCP. SCPs lay the foundation for supporting community- and school-based health and lend themselves to a healthier future for youth.

Familial aggregation of major depressive disorder in an African-American community.

BACKGROUND: African Americans (AAs) with major depressive disorder (MDD) experience more impairment and poorer treatment outcomes relative to Whites, yet are underrepresented in family studies of MDD. This is the first study to investigate the familial aggregation of major depression among AAs. METHODS: Participants' reports of depression from clinical and family history (FH) interviews were used to examine depression rates among 435 first-degree relatives and half-siblings of 63 depressed cases and 222 relatives of 33 nondepressed controls. Binary logistic regression was used to compute odds ratios (ORs) for FH of MDD and level of trauma exposure (high and low) in cases versus controls. Poisson regression models with generalized estimating equations were used to assess MDD in relatives of cases versus relatives of controls. RESULTS: Cases and controls did not differ in either FH of MDD (OR = 1.2, 95% confidence interval [CI] = 0.5-2.9), or prevalence of MDD in relatives (relative risk [RR] = 1.5, 95% CI = 0.8-2.5). However, exposure to high trauma was associated with increased risk of MDD (OR = 3.0, 95% CI = 1.22-7.17) and the combined effect of FH and trauma was greater than expected under an additive model. Similarly, the RR for MDD among relatives of cases with high-trauma levels was 2.2 (1.24-4.2), compared to relatives of controls with low trauma. CONCLUSION: The effect of FH of MDD appears to be exacerbated among individuals exposed to high trauma. Replication and further research on the chronology and subtypes of trauma and MDD, and their interactions, remain essential in AA populations.

Beliefs about causes of major depression: Clinical and treatment correlates among African Americans in an urban community.

OBJECTIVES: Major depression is increasingly viewed in the United States public as a medical disorder with biological and psychosocial causes. Yet little is known about how causal attributions about depression vary among low-income racial minorities. This study examined beliefs about causes of depression and their demographic, clinical and treatment correlates in a lower income African American sample. METHOD: Volunteers (N = 110) aged 24-79 years, who participated in a family study of depression, completed a 45-item questionnaire on their beliefs about the causes of depression. We used multidimensional scaling (MDS) to cluster items into causal domains and multivariate regression analyses to test associations of causal domains with demographic and clinical characteristics and treatments received. RESULTS: Three causal domains, conceptualized as Eastern culture/supernatural (ECS), Western culture/natural/psychosocial (WCN-P), and /neurobiological (WCN-N) attributions, were derived from MDS clusters. WCN-P was most commonly endorsed (50%-91%) and ECS least endorsed as causes of depression (10-44%). This pattern held across gender, age, educational levels, and diagnostic category. WCN-N items were moderately endorsed, with some distinction between genetic causes and other biological causes. WCN-N was positively associated with medication as opposed to other forms of treatment (B = 1.17; p = .049). CONCLUSION: Among low-income African Americans, beliefs about causes of depression are varied but broadly consistent explanatory models that include a combination of psychosocial causes with genetic/biological contributions. For certain individuals, supernatural and natural causal attributions may coexist without dissonance. Causal attributions may be associated with types of treatment accepted and have implications for treatment compliance and adherence.

African-American representation in family and twin studies of mood and anxiety disorders: A systematic review.

PURPOSE: Mood and anxiety disorders are common and disabling psychiatric disorders with known heritable risk factors. But the extent to which their heritability and familial risks can be generalized across ethnic/racial groups is still largely unknown, but remains of considerable scientific and clinical interest. The main objective in this review was to evaluate African-American (AA) representation in family and twin studies of major mood and anxiety disorders. METHOD: We conducted key word-driven computerized searches in MEDLINE and PsycINFO and manual searches from reference lists of selected articles. Search parameters included family or twin studies, mood or anxiety disorders, and familial aggregation or heritability. US-based studies published from 1980 to 2015 were included. RESULTS: The final selection yielded 209 studies, of which 88 did not report race/ethnicity or only reported Caucasian/white race. Of the remaining 121 studies, 66% did not include AAs, 24% included 1-10% AA, 8% included greater than 10% AA and 2 studies were exclusively AA. These trends were similar across study type, disorder and time periods spanning 35 years. LIMITATIONS: Small samples, including the large number of studies without race/ethnicity reports, limited detailed analyses of change across time by disorder and study type. Adoption studies were not included in this review. CONCLUSIONS: Underrepresentation of AAs in family and twin studies of affective disorders is substantial and can limit generalizability of established heritability and familial risk estimates across clinical and research settings. Additional twin and family studies focusing on AAs can be of benefit in closing this gap.

A Novel Mixture Model to Estimate the Time to Drug Effect Onset and Its Association with Covariates.

OBJECTIVE: Drugs take effect at different times in different individuals. Consequently, researchers seek to examine how the timing of the biological response to drugs may be affected by factors such as gender, genotypes, age, or baseline symptom scores. METHODS: Typically, studies measure symptoms immediately after the initiation of drug treatment and then at a sequence of later time points. In this study, we develop a statistical mixture model for analyzing such longitudinal data. Our method estimates the onset of drug effect and assesses the association between the probability distribution of the onset times and possible contributing factors. Our mixture model treats the timing of onset as missing for each individual but restricts it, for simplicity, to two possible onset points, early or late. To estimate the model, we use an expectation-maximization-based approach and provide the general formulas of the variance and covariance matrix for the estimated parameters. RESULTS: We evaluate the model's overall utility and performance via simulation studies. In addition, we illustrate its use by application to longitudinal data from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. The algorithm identified age and anxiety status as significant factors in affecting the onset distribution of citalopram (Celexa).

Pharmacogenetics of antidepressants, mood stabilizers, and antipsychotics in diverse human populations.

An increasing focus on personalized medicine is driving a renewed effort to understand the impact of ethnic and genetic background on treatment outcomes. Since responses to psychopharmacological treatments continue to be sub-optimal, there is a pressing need to identify markers of tolerability and efficacy. Pharmacogenomic studies aim to find such markers within the human genome, and have made some progress in recent years. Progress has been slower in populations with diverse racial and ethnic backgrounds. Here we review 10 genome-wide association studies (GWAS) that assessed outcomes after antidepressant, antipsychotic, or mood stabilizer treatment. These studies used samples collected by the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE), Sequenced Treatment Alternatives to Relieve Depression (STAR*D), and Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) studies. We highlight findings from African American and European American participants since they are the largest groups studied, but we also address issues related to Asian and Hispanic groups. None of the GWAS we reviewed identified individual genetic markers at genome-wide significance, probably due to limited sample sizes. However, all the studies found poorer outcomes among African American participants. Some of this disparity seems to be explained by psychosocial and economic disadvantages, but at least 2 studies found that widespread genetic differences between participants of European and African ancestry also play an important role. Non-European groups are underrepresented in these studies, but the differences that are evident so far suggest that poorer outcomes among African Americans are not inevitable and may be particularly suited to pharmacogenomic strategies. The vision of more personalized psychopharmacology may critically depend on larger studies in more diverse human populations.

Race, genetic ancestry and response to antidepressant treatment for major depression.

The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Study revealed poorer antidepressant treatment response among black compared with white participants. This racial disparity persisted even after socioeconomic and baseline clinical factors were taken into account. Some studies have suggested genetic contributions to this disparity, but none have attempted to disentangle race and genetic ancestry. Here we used genome-wide single-nucleotide polymorphism (SNP) data to examine independent contributions of race and genetic ancestry to citalopram response. Secondary data analyses included 1877 STAR*D participants who completed an average of 10 weeks of citalopram treatment and provided DNA samples. Participants reported their race as White (n=1464), black (n=299) or other/mixed (n=114). Genetic ancestry was estimated by multidimensional scaling (MDS) analyses of about 500 000 SNPs. Ancestry proportions were estimated by STRUCTURE. Structural equation modeling was used to examine the direct and indirect effects of observed and latent predictors of response, defined as change in the Quick Inventory of Depressive Symptomatology (QIDS) score from baseline to exit. Socioeconomic and baseline clinical factors, race, and anxiety significantly predicted response, as previously reported. However, direct effects of race disappeared in all models that included genetic ancestry. Genetic African ancestry predicted lower treatment response in all models. Although socioeconomic and baseline clinical factors drive racial differences in antidepressant response, genetic ancestry, rather than self-reported race, explains a significant fraction of the residual differences. Larger samples would be needed to identify the specific genetic mechanisms that may be involved, but these findings underscore the importance of including more African-American patients in drug trials.

Retention and attrition among African Americans in the STAR*D study: what causes research volunteers to stay or stray?

BACKGROUND: High attrition rates among African-Americans (AA) volunteers are a persistent problem that makes clinical trials less representative and complicates estimation of treatment outcomes. Many studies contrast AA with other ethnic/racial groups, but few compare the AA volunteers who remain in treatment with those who leave. Here, in addition to comparing patterns of attrition between African Americans and Whites, we identify predictors of overall and early attrition among African Americans. METHOD: Sample comprised non-Hispanic African-American (n = 673) and White (n = 2,549) participants in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Chi-square tests were used to examine racial group differences in reasons for exit. Multivariate logistic regression was used to examine predictors of overall attrition, early attrition (by level 2) and top reasons cited for attrition among African Americans. RESULTS: Both African-American and White dropouts most commonly cited noncompliance reasons for attrition during the earlier phases of the study, while citing reasons related to efficacy and medication side effects later in the study. Satisfaction with treatment strongly predicted overall attrition among African Americans independent of socioeconomic, clinical, medical or psychosocial factors. Early attrition among African American dropouts was associated with less psychiatric comorbidity, and higher perceived physical functioning but greater severity of clinician-rated depression. CONCLUSIONS: Compliance, efficacy, and side effects are important factors that vary in relative importance during the course of a clinical trial. For African Americans in such trials, retention strategies should be broadened to emphasize patient engagement and satisfaction during the critical periods immediately following enrollment and treatment initiation.

The stability of parental bonding reports: a 20-year follow-up.

BACKGROUND: Addressing the long-term reliability of retrospectively assessed parenting is underscored by the well-documented association between parenting behaviors, and mood disorders in offspring. The rarity of longitudinal research with follow-up periods exceeding 10 years creates a need for additional studies. METHODS: 134 offspring of depressed and non-depressed parents were assessed on Parental Bonding Instrument (PBI) scores, lifetime major depression (MDD), and current depressive symptoms at four waves across 20 years. PBI rank order and mean level stability, individual trajectories, and the impact of baseline age, gender, and lifetime MDD on stability, were obtained using multiple regression and linear mixed model analyses. RESULTS: Besides paternal overprotection which showed a 1.6-point average decrease, the PBI domains remained non-significant for mean level change over 20 years. However, there was a significant individual variation for all PBI domains. Lifetime MDD and age did not significantly impact retest correlations; older age at baseline was associated with higher average paternal overprotection. Sons had lower retest correlations than daughters, but did not differ from daughters on mean level stability. Current depressive symptoms were associated with PBI scores, but did not impact the effect of lifetime MDD, gender or age on mean level stability and individual trajectories. LIMITATIONS: Small sample sizes and measuring lifetime MDD as present or absent may have restricted our ability to detect effects of MDD history on PBI stability. CONCLUSION: The PBI is a robust measure of an important environmental risk for depressive disorders, and can be variably sensitive to sample characteristics, the passage of time and mood fluctuations. However, this sensitivity does not appear to significantly bias the long-term stability of this instrument.

Racial and ethnic differences in willingness to participate in psychiatric genetic research.

OBJECTIVE: The National Institute of Mental Health's effort to rectify the underrepresentation of American Blacks in the genetic studies of psychiatric disorders has met with mixed success. This study was designed to understand some of the barriers to recruitment. METHODS: Men and women, who were of Black, White or Hispanic race/ethnicity, aged 18-79 years (N= 353), were recruited from clinical and community settings in New York City. Participants responded to a survey that was designed to measure willingness to participate and attitudes toward genetic research. Principal components analyses generated eight factors including perceived benefits, concerns about, and drawbacks of genetic research, and beliefs about genetic or environmental contributions to psychopathology. Analysis of variance assessed within-ethnic group differences on factor scores, as they related to willingness to participate in genetic research. RESULTS: Ethnic groups did not differ significantly in stated willingness to participate in genetic research; more than 70% in each group were willing to participate. Among Blacks and Hispanics, mistrust and wariness, and stigma were significantly increased in those unwilling to participate; for Whites, perceived benefit to society and perceived importance for knowledge/education were associated with willingness to participate. For Blacks and Hispanics, youth (aged 18-29 years) and college education reduced, but did not eliminate the association between wariness and mistrust and willingness to participate. CONCLUSION: Findings suggest that recruitment efforts aimed at increasing the representation of Blacks should be aware of the barriers among those who are less educated, and involve interactive community collaborations, to fully address the mistrust in this population.