Canadian COVID-19 host genetics cohort replicates known severity associations.

The HostSeq initiative recruited 10,059 Canadians infected with SARS-CoV-2 between March 2020 and March 2023, obtained clinical information on their disease experience and whole genome sequenced (WGS) their DNA. We analyzed the WGS data for genetic contributors to severe COVID-19 (considering 3,499 hospitalized cases and 4,975 non-hospitalized after quality control). We investigated the evidence for replication of loci reported by the International Host Genetics Initiative (HGI); analyzed the X chromosome; conducted rare variant gene-based analysis and polygenic risk score testing. Population stratification was adjusted for using meta-analysis across ancestry groups. We replicated two loci identified by the HGI for COVID-19 severity: the LZTFL1/SLC6A20 locus on chromosome 3 and the FOXP4 locus on chromosome 6 (the latter with a variant significant at P < 5E-8). We found novel significant associations with MRAS and WDR89 in gene-based analyses, and constructed a polygenic risk score that explained 1.01% of the variance in severe COVID-19. This study provides independent evidence confirming the robustness of previously identified COVID-19 severity loci by the HGI and identifies novel genes for further investigation.

Sex-dependent placental methylation quantitative trait loci provide insight into the prenatal origins of childhood onset traits and conditions.

Molecular quantitative trait loci (QTLs) allow us to understand the biology captured in genome-wide association studies (GWASs). The placenta regulates fetal development and shows sex differences in DNA methylation. We therefore hypothesized that placental methylation QTL (mQTL) explain variation in genetic risk for childhood onset traits, and that effects differ by sex. We analyzed 411 term placentas from two studies and found 49,252 methylation (CpG) sites with mQTL and 2,489 CpG sites with sex-dependent mQTL. All mQTL were enriched in regions that typically affect gene expression in prenatal tissues. All mQTL were also enriched in GWAS results for growth- and immune-related traits, but male- and female-specific mQTL were more enriched than cross-sex mQTL. mQTL colocalized with trait loci at 777 CpG sites, with 216 (28%) specific to males or females. Overall, mQTL specific to male and female placenta capture otherwise overlooked variation in childhood traits.

Predictors of hookup behaviors among Asian and Asian American college students in the United States.

Objective: With the rapid growth in the population of Asian and Asian American college students in the United States, there is a need for research examining their participation in potentially risky sexual behaviors in order to expand understanding of this group's needs. This study focused on attachment orientation and hookup motives as predictors of hookup behaviors, which involve engaging in sexual behaviors without expectation of a long-term relationship.Methods: Participants included 169 Asian or Asian American college students ranging in age from 18 to 27 years who completed an online survey.Results: Results indicated that over half of participants reported engaging in hookup behaviors. The strongest predictors of hookup behaviors were increased age, liberal sexual attitudes, motivations to achieve excitement/sexual enhancement, and motivations to find a long-term partner. However, attachment orientations did not predict hookup behaviors. Results provide insight into a profile of Asian American college students increasingly exploring sexuality throughout young adulthood.

A qualitative study understanding immigrant Latinas, violence, and available mental health care.

Women from Latin American countries experience high levels of psychological and physical abuse and violence. Immigrant Latina women are often subjected to a patriarchal system in both family and government, which has resulted in a variety of complex and far-reaching outcomes. This qualitative study sought to understand the experiences of immigrant Latina women who were exposed to violence, as well as their access to mental health care. This study used 20 interviews with immigrant Latina women from El Salvador, Guatemala, and Mexico who had accessed mental health services in California. The primary themes that emerged from analysis of the data included motivating factors for seeking services (e.g., motherhood, community, hope, and mental health needs), barriers to accessing services (e.g., fatalism, marianismo, stigma, finances, language barriers, threats, abuse, and systemic insensitivity), and treatment and solutions (e.g., empathy, advocacy, and community approaches). These results appeared to be indicative of the importance of addressing sociopolitical, historical, and cultural trauma as an imperative component of effective treatment. In this context, the authors explore liberation psychology, a concept and approach that promotes social justice values and emphasizes the empowerment of immigrant Latina women in clinical practice. It is recommended that the historical sociocultural abuse of immigrant Latina women be thoughtfully considered and discussed in the therapeutic process to create lasting psychological change. Future research, policy efforts, and program development, including psychotherapeutic treatment modalities, should focus specifically on marginalized groups facing barriers to mental health care in order to increase access and effectiveness of treatment.

Association of Preinjury Medical Diagnoses With Pediatric Persistent Postconcussion Symptoms in Electronic Health Records.

OBJECTIVE: To identify risk factors and generate hypotheses for pediatric persistent postconcussion symptoms (PPCS). SETTING: A regional healthcare system in the Southeastern United States. PARTICIPANTS: An electronic health record-based algorithm was developed and validated to identify PPCS cases and controls from an institutional database of more than 2.8 million patients. PPCS cases (n = 274) were patients aged 5 to 18 years with PPCS-related diagnostic codes or with PPCS key words identified by natural language processing of clinical notes. Age, sex, and year of index event-matched controls (n = 1096) were patients with mild traumatic brain injury codes only. Patients with moderate or severe traumatic brain injury were excluded. All patients used our healthcare system at least 3 times 180 days before their injury. DESIGN: Case-control study. MAIN MEASURES: The outcome was algorithmic classification of PPCS. Exposures were all preinjury medical diagnoses assigned at least 180 days before the injury. RESULTS: Cases and controls both had a mean of more than 9 years of healthcare system use preinjury. Of 221 preinjury medical diagnoses, headache disorder was associated with PPCS after accounting for multiple testing (odds ratio [OR] = 2.9; 95% confidence interval [CI]: 1.6-5.0; P = 2.1e-4). Six diagnoses were associated with PPCS at a suggestive threshold for statistical significance (false discovery rate P < .10): gastritis/duodenitis (OR = 2.8; 95% CI: 1.6-5.1; P = 5.0e-4), sleep disorders (OR = 2.3; 95% CI: 1.4-3.7; P = 7.4e-4), abdominal pain (OR = 1.6; 95% CI: 1.2-2.2; P = 9.2e-4), chronic sinusitis (OR = 2.8; 95% CI: 1.5-5.2; P = 1.3e-3), congenital anomalies of the skin (OR = 2.9; 95% CI: 1.5-5.5; P = 1.9e-3), and chronic pharyngitis/nasopharyngitis (OR = 2.4; 95% CI: 1.4-4.3; P = 2.5e-3). CONCLUSIONS: These results support the strong association of preinjury headache disorders with PPCS. An association of PPCS with prior gastritis/duodenitis, sinusitis, and pharyngitis/nasopharyngitis suggests a role for chronic inflammation in PPCS pathophysiology and risk, although results could equally be attributable to a higher likelihood of somatization among PPCS cases. Identified risk factors should be investigated further and potentially considered during the management of pediatric mild traumatic brain injury cases.

The sustainability of upper limb robotic therapy for stroke survivors in an inpatient rehabilitation setting.

PURPOSE: To investigate the sustainability of Robot-assisted upper limb therapy (RT-UL) as part of routine occupational therapy and physiotherapy clinical practice. METHODS: Two separate audits, 12 months apart, of RT-UL computer data records were undertaken to determine sustainability in a subacute rehabilitation unit. Records of the two audits were compared in terms of the number of early subacute stroke survivors using RT-UL, the number of RT-UL sessions, duration of RT-UL sessions, and disciplines prescribing RT-UL. RESULTS: During Audit 1 58% (n = 18) of stroke survivors received RT-UL compared to 50% (n = 7) in Audit 2. The total number of RT-UL sessions reduced between audits (148 vs. 36 sessions) reflecting the overall reduction in admission rates for stroke survivors. There was no significant difference between audits in the average number of RT-UL sessions per patient (p = 0.203) nor the length of sessions (p = 0.762). Patients engaged in active therapy more than three-quarters of the time when on the robotic device. Physiotherapists were the primary prescribers of RT-UL when compared to occupational therapists. CONCLUSIONS: RT-UL was in continued and regular use with stroke survivors 2 years after initial implementation within an inpatient rehabilitation setting. RT-UL practice was intensive and used routinely with patients.IMPLICATIONS FOR REHABILITATIONRT-UL is a sustainable and intensive intervention for stroke survivors within an inpatient rehabilitative setting.The cost-benefits of RT-UL should be evaluated from the perspective of the whole rehabilitation service not just at an individual patient level.RT-UL may be considered a "bridging" form of UL practice for those with more limited active UL movement until there is sufficient UL movement and power for more complex real-world task-specific practice.

Clinical laboratory test-wide association scan of polygenic scores identifies biomarkers of complex disease.

BACKGROUND: Clinical laboratory (lab) tests are used in clinical practice to diagnose, treat, and monitor disease conditions. Test results are stored in electronic health records (EHRs), and a growing number of EHRs are linked to patient DNA, offering unprecedented opportunities to query relationships between genetic risk for complex disease and quantitative physiological measurements collected on large populations. METHODS: A total of 3075 quantitative lab tests were extracted from Vanderbilt University Medical Center's (VUMC) EHR system and cleaned for population-level analysis according to our QualityLab protocol. Lab values extracted from BioVU were compared with previous population studies using heritability and genetic correlation analyses. We then tested the hypothesis that polygenic risk scores for biomarkers and complex disease are associated with biomarkers of disease extracted from the EHR. In a proof of concept analyses, we focused on lipids and coronary artery disease (CAD). We cleaned lab traits extracted from the EHR performed lab-wide association scans (LabWAS) of the lipids and CAD polygenic risk scores across 315 heritable lab tests then replicated the pipeline and analyses in the Massachusetts General Brigham Biobank. RESULTS: Heritability estimates of lipid values (after cleaning with QualityLab) were comparable to previous reports and polygenic scores for lipids were strongly associated with their referent lipid in a LabWAS. LabWAS of the polygenic score for CAD recapitulated canonical heart disease biomarker profiles including decreased HDL, increased pre-medication LDL, triglycerides, blood glucose, and glycated hemoglobin (HgbA1C) in European and African descent populations. Notably, many of these associations remained even after adjusting for the presence of cardiovascular disease and were replicated in the MGBB. CONCLUSIONS: Polygenic risk scores can be used to identify biomarkers of complex disease in large-scale EHR-based genomic analyses, providing new avenues for discovery of novel biomarkers and deeper understanding of disease trajectories in pre-symptomatic individuals. We present two methods and associated software, QualityLab and LabWAS, to clean and analyze EHR labs at scale and perform a Lab-Wide Association Scan.

Genetic risk for major depressive disorder and loneliness in sex-specific associations with coronary artery disease.

Major depressive disorder (MDD) and loneliness are phenotypically and genetically correlated with coronary artery disease (CAD), but whether these associations are explained by pleiotropic genetic variants or shared comorbidities is unclear. To tease apart these scenarios, we first assessed the medical morbidity pattern associated with genetic risk factors for MDD and loneliness by conducting a phenome-wide association study in 18,385 European-ancestry individuals in the Vanderbilt University Medical Center biobank, BioVU. Polygenic scores for MDD and loneliness were developed for each person using previously published meta-GWAS summary statistics, and were tested for association with 882 clinical diagnoses ascertained via billing codes in electronic health records. We discovered strong associations with heart disease diagnoses, and next embarked on targeted analyses of CAD in 3893 cases and 4197 controls. We found odds ratios of 1.11 (95% CI, 1.04-1.18; P 8.43 × 10-4) and 1.13 (95% CI, 1.07-1.20; P 4.51 × 10-6) per 1-SD increase in the polygenic scores for MDD and loneliness, respectively. Results were similar in patients without psychiatric symptoms, and the increased risk persisted in females even after adjusting for multiple conventional risk factors and a polygenic score for CAD. In a final sensitivity analysis, we statistically adjusted for the genetic correlation between MDD and loneliness and re-computed polygenic scores. The polygenic score unique to loneliness remained associated with CAD (OR 1.09, 95% CI 1.03-1.15; P 0.002), while the polygenic score unique to MDD did not (OR 1.00, 95% CI 0.95-1.06; P 0.97). Our replication sample was the Atherosclerosis Risk in Communities (ARIC) cohort of 7197 European-ancestry participants (1598 incident CAD cases). In ARIC, polygenic scores for MDD and loneliness were associated with hazard ratios of 1.07 (95% CI, 0.99-1.14; P = 0.07) and 1.07 (1.01-1.15; P = 0.03), respectively, and we replicated findings from the BioVU sensitivity analyses. We conclude that genetic risk factors for MDD and loneliness act pleiotropically to increase CAD risk in females.

Social-ecological predictors of school functioning in Hispanic children treated for cancer with central nervous system-directed therapies.

BACKGROUND: Children with brain tumor or acute leukemia are at risk for neurotoxic side effects associated with their cancer therapies. These long-term deficits include poor health-related quality of life (HRQOL) in school and lower educational achievement. Although social-ecological factors may impact these outcomes, it is not known which factors play a role. Our objective was to evaluate the factors affecting school HRQOL in Hispanic childhood cancer survivors, an important at-risk group. PROCEDURE: Multivariable regression analyses examined whether selected social-ecological factors contribute toward suboptimal school HRQOL in 73 Hispanic children treated with central nervous system (CNS)-directed cancer therapies after accounting for effects associated with established cancer-related risk factors. RESULTS: Consistent with expectations from prior research, in our multivariate analysis, the cancer-related factors of having a brain tumor diagnosis and being younger at cancer diagnosis were significant predictors of reduced parent-reported school HRQOL (F(2,65) = 5.46, P < .01) and accounted for 14% of the variance. Adding the social-ecological variables of parent education, child motivation, and parental knowledge accounted for an additional 25% of the variance in school HRQOL, where higher levels were associated with better child school HRQOL. Parenting knowledge was a contributor even after controlling for effects associated with the other variables in the model (F(1,62) = 4.88, P < .05). CONCLUSIONS: Cancer survivorship care should incorporate parent education interventions to enhance the child's school functioning, particularly for Hispanic childhood cancer survivors from predominantly Spanish-speaking families. Future research should consider other at-risk groups and incorporate social-ecological indicators to predict HRQOL outcomes.

Phenome-wide investigation of health outcomes associated with genetic predisposition to loneliness.

Humans are social animals that experience intense suffering when they perceive a lack of social connection. Modern societies are experiencing an epidemic of loneliness. Although the experience of loneliness is universally human, some people report experiencing greater loneliness than others. Loneliness is more strongly associated with mortality than obesity, emphasizing the need to understand the nature of the relationship between loneliness and health. Although it is intuitive that circumstantial factors such as marital status and age influence loneliness, there is also compelling evidence of a genetic predisposition toward loneliness. To better understand the genetic architecture of loneliness and its relationship with associated outcomes, we extended the genome-wide association study meta-analysis of loneliness to 511 280 subjects, and detect 19 significant genetic variants from 16 loci, including four novel loci, as well as 58 significantly associated genes. We investigated the genetic overlap with a wide range of physical and mental health traits by computing genetic correlations and by building loneliness polygenic scores in an independent sample of 18 498 individuals with EHR data to conduct a PheWAS with. A genetic predisposition toward loneliness was associated with cardiovascular, psychiatric, and metabolic disorders and triglycerides and high-density lipoproteins. Mendelian randomization analyses showed evidence of a causal, increasing, the effect of both BMI and body fat on loneliness. Our results provide a framework for future studies of the genetic basis of loneliness and its relationship to mental and physical health.

Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia in 106,160 Patients Across Four Health Care Systems.

OBJECTIVE: Individuals at high risk for schizophrenia may benefit from early intervention, but few validated risk predictors are available. Genetic profiling is one approach to risk stratification that has been extensively validated in research cohorts. The authors sought to test the utility of this approach in clinical settings and to evaluate the broader health consequences of high genetic risk for schizophrenia. METHODS: The authors used electronic health records for 106,160 patients from four health care systems to evaluate the penetrance and pleiotropy of genetic risk for schizophrenia. Polygenic risk scores (PRSs) for schizophrenia were calculated from summary statistics and tested for association with 1,359 disease categories, including schizophrenia and psychosis, in phenome-wide association studies. Effects were combined through meta-analysis across sites. RESULTS: PRSs were robustly associated with schizophrenia (odds ratio per standard deviation increase in PRS, 1.55; 95% CI=1.4, 1.7), and patients in the highest risk decile of the PRS distribution had up to 4.6-fold higher odds of schizophrenia compared with those in the bottom decile (95% CI=2.9, 7.3). PRSs were also positively associated with other phenotypes, including anxiety, mood, substance use, neurological, and personality disorders, as well as suicidal behavior, memory loss, and urinary syndromes; they were inversely related to obesity. CONCLUSIONS: The study demonstrates that an available measure of genetic risk for schizophrenia is robustly associated with schizophrenia in health care settings and has pleiotropic effects on related psychiatric disorders as well as other medical syndromes. The results provide an initial indication of the opportunities and limitations that may arise with the future application of PRS testing in health care systems.

Diagnostic Algorithms to Study Post-Concussion Syndrome Using Electronic Health Records: Validating a Method to Capture an Important Patient Population.

Post-concussion syndrome (PCS) is characterized by persistent cognitive, somatic, and emotional symptoms after a mild traumatic brain injury (mTBI). Genetic and other biological variables may contribute to PCS etiology, and the emergence of biobanks linked to electronic health records (EHRs) offers new opportunities for research on PCS. We sought to validate the EHR data of PCS patients by comparing two diagnostic algorithms deployed in the Vanderbilt University Medical Center de-identified database of 2.8 million patient EHRs. The algorithms identified individuals with PCS by: 1) natural language processing (NLP) of narrative text in the EHR combined with structured demographic, diagnostic, and encounter data; or 2) coded billing and procedure data. The predictive value of each algorithm was assessed, and cases and controls identified by each approach were compared on demographic and medical characteristics. The NLP algorithm identified 507 cases and 10,857 controls. The negative predictive value in controls was 78% and the positive predictive value (PPV) in cases was 82%. Conversely, the coded algorithm identified 1142 patients with two or more PCS billing codes and had a PPV of 76%. Comparisons of PCS controls to both case groups recovered known epidemiology of PCS: cases were more likely than controls to be female and to have pre-morbid diagnoses of anxiety, migraine, and post-traumatic stress disorder. In contrast, controls and cases were equally likely to have attention deficit hyperactive disorder and learning disabilities, in accordance with the findings of recent systematic reviews of PCS risk factors. We conclude that EHRs are a valuable research tool for PCS. Ascertainment based on coded data alone had a predictive value comparable to an NLP algorithm, recovered known PCS risk factors, and maximized the number of included patients.

Blood triglyceride levels are associated with DNA methylation at the serine metabolism gene PHGDH.

Efficient interventions to reduce blood triglycerides are few; newer and more tolerable intervention targets are needed. Understanding the molecular mechanisms underlying blood triglyceride levels variation is key to identifying new therapies. To explore the role of epigenetic mechanisms on triglyceride levels, a blood methylome scan was conducted in 199 individuals from 5 French-Canadian families ascertained on venous thromboembolism, and findings were replicated in 324 French unrelated patients with venous thromboembolism. Genetic context and functional relevance were investigated. Two DNA methylation sites associated with triglyceride levels were identified. The first one, located in the ABCG1 gene, was recently reported, whereas the second one, located in the promoter of the PHGDH gene, is novel. The PHGDH methylation site, cg14476101, was found to be associated with variation in triglyceride levels in a threshold manner: cg14476101 was inversely associated with triglyceride levels only when triglyceride levels were above 1.12 mmol/L (discovery P-value = 8.4 × 10-6; replication P-value = 0.0091). Public databases findings supported a functional role of cg14476101 on PHGDH expression. PHGDH catalyses the first step in the serine biosynthesis pathway. These findings highlight the role of epigenetic regulation of the PHGDH gene in triglyceride metabolism, providing novel insights on putative intervention targets.

Leveraging cell type specific regulatory regions to detect SNPs associated with tissue factor pathway inhibitor plasma levels.

Tissue factor pathway inhibitor (TFPI) regulates the formation of intravascular blood clots, which manifest clinically as ischemic heart disease, ischemic stroke, and venous thromboembolism (VTE). TFPI plasma levels are heritable, but the genetics underlying TFPI plasma level variability are poorly understood. Herein we report the first genome-wide association scan (GWAS) of TFPI plasma levels, conducted in 251 individuals from five extended French-Canadian Families ascertained on VTE. To improve discovery, we also applied a hypothesis-driven (HD) GWAS approach that prioritized single nucleotide polymorphisms (SNPs) in (1) hemostasis pathway genes, and (2) vascular endothelial cell (EC) regulatory regions, which are among the highest expressers of TFPI. Our GWAS identified 131 SNPs with suggestive evidence of association (P-value < 5 × 10-8 ), but no SNPs reached the genome-wide threshold for statistical significance. Hemostasis pathway genes were not enriched for TFPI plasma level associated SNPs (global hypothesis test P-value = 0.147), but EC regulatory regions contained more TFPI plasma level associated SNPs than expected by chance (global hypothesis test P-value = 0.046). We therefore stratified our genome-wide SNPs, prioritizing those in EC regulatory regions via stratified false discovery rate (sFDR) control, and reranked the SNPs by q-value. The minimum q-value was 0.27, and the top-ranked SNPs did not show association evidence in the MARTHA replication sample of 1,033 unrelated VTE cases. Although this study did not result in new loci for TFPI, our work lays out a strategy to utilize epigenomic data in prioritization schemes for future GWAS studies.

Bicycling crashes on streetcar (tram) or train tracks: mixed methods to identify prevention measures.

BACKGROUND: Streetcar or train tracks in urban areas are difficult for bicyclists to negotiate and are a cause of crashes and injuries. This study used mixed methods to identify measures to prevent such crashes, by examining track-related crashes that resulted in injuries to cyclists, and obtaining information from the local transit agency and bike shops. METHODS: We compared personal, trip, and route infrastructure characteristics of 87 crashes directly involving streetcar or train tracks to 189 crashes in other circumstances in Toronto, Canada. We complemented this with engineering information about the rail systems, interviews of personnel at seven bike shops about advice they provide to customers, and width measurements of tires on commonly sold bikes. RESULTS: In our study, 32 % of injured cyclists had crashes that directly involved tracks. The vast majority resulted from the bike tire being caught in the rail flangeway (gap in the road surface alongside rails), often when cyclists made unplanned maneuvers to avoid a collision. Track crashes were more common on major city streets with parked cars and no bike infrastructure, with left turns at intersections, with hybrid, racing and city bikes, among less experienced and less frequent bicyclists, and among women. Commonly sold bikes typically had tire widths narrower than the smallest track flangeways. There were no track crashes in route sections where streetcars and trains had dedicated rights of way. CONCLUSIONS: Given our results, prevention efforts might be directed at individual knowledge, bicycle tires, or route design, but their potential for success is likely to differ. Although it may be possible to reach a broader audience with continued advice about how to avoid track crashes, the persistence and frequency of these crashes and their unpredictable circumstances indicates that other solutions are needed. Using tires wider than streetcar or train flangeways could prevent some crashes, though there are other considerations that lead many cyclists to have narrower tires. To prevent the majority of track-involved injuries, route design measures including dedicated rail rights of way, cycle tracks (physically separated bike lanes), and protected intersections would be the best strategy.

Bicycling injury hospitalisation rates in Canadian jurisdictions: analyses examining associations with helmet legislation and mode share.

OBJECTIVES: The purpose of this study was to calculate exposure-based bicycling hospitalisation rates in Canadian jurisdictions with different helmet legislation and bicycling mode shares, and to examine whether the rates were related to these differences. METHODS: Administrative data on hospital stays for bicycling injuries to 10 body region groups and national survey data on bicycling trips were used to calculate hospitalisation rates. Rates were calculated for 44 sex, age and jurisdiction strata for all injury causes and 22 age and jurisdiction strata for traffic-related injury causes. Inferential analyses examined associations between hospitalisation rates and sex, age group, helmet legislation and bicycling mode share. RESULTS: In Canada, over the study period 2006-2011, there was an average of 3690 hospitalisations per year and an estimated 593 million annual trips by bicycle among people 12 years of age and older, for a cycling hospitalisation rate of 622 per 100 million trips (95% CI 611 to 633). Hospitalisation rates varied substantially across the jurisdiction, age and sex strata, but only two characteristics explained this variability. For all injury causes, sex was associated with hospitalisation rates; females had rates consistently lower than males. For traffic-related injury causes, higher cycling mode share was consistently associated with lower hospitalisation rates. Helmet legislation was not associated with hospitalisation rates for brain, head, scalp, skull, face or neck injuries. CONCLUSIONS: These results suggest that transportation and health policymakers who aim to reduce bicycling injury rates in the population should focus on factors related to increased cycling mode share and female cycling choices. Bicycling routes designed to be physically separated from traffic or along quiet streets fit both these criteria and are associated with lower relative risks of injury.

Willingness to participate in a parental training intervention to reduce neurocognitive late effects among Latino parents of childhood cancer survivors.

The purpose of the study was to examine correlates of Spanish-speaking Latino parents' interest for participation in an educational intervention to improve learning and school success in children with cancer-related cognitive and behavioral late effects. Participants included 73 Latino caregivers of school-age children who are survivors of brain tumor or leukemia and at risk for cognitive late effects. The parents completed a battery of surveys relating to interest in and barriers to intervention participation, as well as measures of parental knowledge and beliefs and their children's cognitive functioning, and health-related quality of life. Results showed that the majority of parents expressed interest in participating in the proposed 8-week intervention, with over 90% indicating interest in learning more about improving grades, making learning more exciting, being a role model, and the impact of cancer on memory. The factors most strongly related to interest in intervention included lower maternal education as well as perceptions of greater child cognitive difficulties and lower health-related quality of life. The barriers most highly endorsed by the most parents were difficulty paying for gas, child care responsibility, and too much stress in other parts of life. Also highly endorsed as barriers were statements relating to the child's lack of interest and need for services (i.e., my child is doing fine). These findings are consistent with the Health Belief Model wherein decisions to engage in health-related behaviors are made by weighing the potential benefits relative to the costs and barriers.

Genome-wide investigation of DNA methylation marks associated with FV Leiden mutation.

In order to investigate whether DNA methylation marks could contribute to the incomplete penetrance of the FV Leiden mutation, a major genetic risk factor for venous thrombosis (VT), we measured genome-wide DNA methylation levels in peripheral blood samples of 98 VT patients carrying the mutation and 251 VT patients without the mutation using the dedicated Illumina HumanMethylation450 array. The genome-wide analysis of 388,120 CpG probes identified three sites mapping to the SLC19A2 locus whose DNA methylation levels differed significantly (p<3 10-8) between carriers and non-carriers. The three sites replicated (p<2 10-7) in an independent sample of 214 individuals from five large families ascertained on VT and FV Leiden mutation among which 53 were carriers and 161 were non-carriers of the mutation. In both studies, these three CpG sites were also associated (2.33 10-110.05). In conclusion, our work clearly illustrates some promises and pitfalls of DNA methylation investigations on peripheral blood DNA in large epidemiological cohorts. DNA methylation levels at SLC19A2 are influenced by SNPs in LD with FV Leiden, but these DNA methylation marks do not explain the incomplete penetrance of the FV Leiden mutation.

RFC1 80G>A is a genetic determinant of methotrexate efficacy in rheumatoid arthritis: a human genome epidemiologic review and meta-analysis of observational studies.

OBJECTIVE: Associations have been reported between candidate genes and the response to methotrexate (MTX) in rheumatoid arthritis (RA) patients, but most of the studies have been small and have yielded conflicting results. This study was undertaken to provide a systematic review of all genetic variant associations with MTX efficacy and toxicity, and to conduct a meta-analysis evaluating the most commonly studied single-nucleotide polymorphism for which prior cumulative analysis has been lacking. METHODS: A systematic review and meta-analysis were performed to identify genetic variant associations with MTX efficacy and toxicity. Studies were identified from the Medline, EMBase, HuGENet Navigator, and Cochrane Library databases through December 2012, and from the 2009-2011 abstracts of the American College of Rheumatology and the European League Against Rheumatism annual meeting proceedings. Additional unpublished genotype data from a Canadian cohort of patients with early RA were also included. RESULTS: Among the 87 identified studies examining genetic associations with MTX efficacy and toxicity, the reduced folate carrier 1 gene (RFC1) variant 80G>A (Arg(27) His, rs1051266) was selected for random-effects meta-analysis. RFC1 80G>A was associated with MTX efficacy in both the recessive model (odds ratio [OR] 1.42, 95% confidence interval [95% CI] 1.04-1.93) and the additive model (OR 1.28, 95% CI 1.10-1.49). Restriction of the sensitivity analyses to studies that involved Caucasian subjects only and that used similar outcome measures (MTX failure versus nonfailure) maintained and improved the associations in both models. No significant association between RFC1 80G>A and MTX toxicity was detected. CONCLUSION: In these analyses of available data from observational studies, RFC1 80G>A was found to be associated with MTX efficacy, but not toxicity, in RA patients. This variant merits further prospective analysis as a potential predictor of MTX efficacy. Variability in the definitions of response in pharmacogenetic studies is a source of data heterogeneity that should be addressed.