Accurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).

We use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.

Based on individual genotypes from case–control cohorts of BPD and MDD shared through the Psychiatric Genomics Consortium, we compile case–case–control cohorts, applying a careful quality control procedure. In a resulting cohort of 51 149 individuals (15 532 BPD patients, 12 920 MDD patients and 22 697 controls), we perform a variety of GWAS and PRS analyses.

Although our GWAS is not well powered to identify genome-wide significant loci, we find significant chip heritability and demonstrate the ability of the resulting PRS to distinguish BPD from MDD, including BPD cases with depressive onset (BPD-D). We replicate our PRS findings in an independent Danish cohort (iPSYCH 2015, N = 25 966). We observe strong genetic correlation between our case–case GWAS and that of case–control BPD.

We find that MDD and BPD, including BPD-D are genetically distinct. Our findings support that controls, MDD and BPD patients primarily lie on a continuum of genetic risk. Future studies with larger and richer samples will likely yield a better understanding of these findings and enable the development of better genetic predictors distinguishing BPD and, importantly, BPD-D from MDD.

Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and etiological subtypes. There are several challenges to integrating symptom data from genetically informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data.

We conducted genome-wide association studies of major depressive symptoms in three cohorts that were enriched for participants with a diagnosis of depression (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three community cohorts who were not recruited on the basis of diagnosis (Avon Longitudinal Study of Parents and Children, Estonian Biobank, and UK Biobank). We fit a series of confirmatory factor models with factors that accounted for how symptom data was sampled and then compared alternative models with different symptom factors.

The best fitting model had a distinct factor for Appetite/Weight symptoms and an additional measurement factor that accounted for the skip-structure in community cohorts (use of Depression and Anhedonia as gating symptoms).

The results show the importance of assessing the directionality of symptoms (such as hypersomnia versus insomnia) and of accounting for study and measurement design when meta-analyzing genetic association data.

Publicly available health information is increasingly important for patients and their families. While the average US citizen reads at an 8th-grade level, electronic educational materials for patients and families are often advanced. We assessed the quality and readability of publicly available resources regarding hypoplastic left heart syndrome (HLHS).

We queried four search engines for “hypoplastic left heart syndrome”, “HLHS”, and “hypoplastic left ventricle”. The top 30 websites from searches on Google, Yahoo!, Bing, and Dogpile were combined into a single list. Duplicates, commercial websites, physician-oriented resources, disability websites, and broken links were removed. Websites were graded for accountability, content, interactivity, and structure using a two-reviewer system. Nonparametric analysis of variance was performed.

Fifty-two websites were analysed. Inter-rater agreement was high (Kappa = 0.874). Website types included 35 hospital/healthcare organisation (67.3%), 12 open access (23.1%), 4 governmental agency (7.7%), and 1 professional medical society (1.9%). Median total score was 19 of 39 (interquartile range = 15.8–25.3): accountability 5.5 of 17 (interquartile range = 2.0–9.3), content 8 of 12 (interquartile range = 6.4–10.0), interactivity 2 of 6 (interquartile range = 2.0–3.0), and structure 3 of 4 (interquartile range = 2.8–4.0). Accountability was low with 32.7% (n = 17) of sites disclosing authorship and 26.9% (n = 14) citing sources. Forty-two percent (n = 22) of websites were available in Spanish. Total score varied by website type (p = 0.03), with open access sites scoring highest (median = 26.5; interquartile range = 20.5–28.6) and hospital/healthcare organisation websites scoring lowest (median = 17.5; interquartile range = 13.5–21.5). Score differences were driven by differences in accountability (p = 0.001) – content scores were similar between groups (p = 0.25). Overall readability was low, with median Flesch–Kincaid Grade Level of 11th grade (interquartile range = 10th–12th grade).

Our evaluation of popular websites about HLHS identifies multiple opportunities for improvement, including increasing accountability by disclosing authorship and citing sources, enhancing readability by providing material that is understandable to readers with the full spectrum of educational background, and providing information in languages besides English, all of which would enhance health equity.

Diversification of the medical and cardiothoracic surgical workforce represents an ongoing need. A congenital cardiac surgery shadowing programme for undergraduate students was implemented at the University of Florida Congenital Heart Center.

Students shadowing in the Congenital Heart Center from 17 December 2020 through 20 July 2021 were sent a survey through Qualtrics to evaluate the impact of their shadowing experience. The main objectives of the survey were to determine the personal relationship(s) of the students to physicians prior to shadowing, how the presence or absence of physicians in the family of a given student related to the exposure of the student to a medical setting prior to shadowing, and the interest of the students in medicine and cardiothoracic surgery prior to and after the shadowing experience. Survey responses included “Yes/No” questions, scaled responses using a Likert scale, selection lists, and free text responses. When applicable, t-tests were utilised to assess differences between student groups.

Of the 37 students who shadowed during the study period, 26 (70%) responded. Most students were female (58%, n = 15), and the mean age was 20.9 ± 2.4 years. Students spent a mean duration of 95 ± 138 hours shadowing providers as part of the shadowing programme. Likert scale ratings of interest in the professions of medicine, surgery, and cardiothoracic surgery all increased after the shadowing experience (p < 0.01). Students with a family member in medicine had more clinical exposure prior to the shadowing programme (p < 0.01).

A surgical shadowing programme at a Congenital Heart Center may have an important formative impact on the views of undergraduate students regarding potential careers in surgery and medicine. Additionally, students without family members in medicine tend to have less prior exposure to medicine and could likely benefit more from this type of shadowing programme.