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Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55% more compared with alternative TWAS methods. These hits and subsequent fine mapping using TESLA point to target genes with biological relevance. In silico drug-repurposing analyses highlight several drugs with known efficacy, including dextromethorphan and galantamine, and new drugs such as muscle relaxants that may be repurposed for treating nicotine addiction.

Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1-4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction.

Background Several cancer therapies have been associated with cardiovascular harm in early-phase clinical trials. However, some cardiovascular harms do not manifest until later-phase trials. To limit interdisease variability, we focused on breast cancer. Thus, we assessed the reporting of cardiovascular safety monitoring and outcomes in phase 2 and 3 contemporary breast cancer clinical trials. Methods and Results We searched Embase and Medline records for phase 2 and 3 breast cancer pharmacotherapy trials. We examined exclusion criterion as a result of cardiovascular conditions, adverse cardiovascular event reporting, and cardiovascular safety assessment through cardiovascular imaging, ECG, troponin, or natriuretic peptides. Fisher's exact test was utilized to compare reporting. Fifty clinical trials were included in our study. Patients were excluded because of cardiovascular conditions in 42 (84%) trials. Heart failure was a frequent exclusion criterion (n=31; 62% trials). Adverse cardiovascular events were reported in 43 (86%) trials. Cardiovascular safety assessments were not reported in 23 (46%) trials, whereas natriuretic peptide and troponin assessments were not reported in any trial. Cardiovascular safety assessments were more frequently reported in industry-funded trials (69.2% versus 0.0%; P

BackgroundPlasma proteins are critical mediators of cardiovascular processes and are the targets of many drugs. Previous efforts to characterize the genetic architecture of the plasma proteome have been limited by a focus on individuals of European descent and leveraged genotyping arrays and imputation. Here we describe whole genome sequence analysis of the plasma proteome in individuals with greater African ancestry, increasing our power to identify novel genetic determinants.MethodsProteomic profiling of 1301 proteins was performed in 1852 Black adults from the Jackson Heart Study using aptamer-based proteomics (SomaScan). Whole genome sequencing association analysis was ascertained for all variants with minor allele count ≥5. Results were validated using an alternative, antibody-based, proteomic platform (Olink) as well as replicated in the Multi-Ethnic Study of Atherosclerosis and the HERITAGE Family Study (Health, Risk Factors, Exercise Training and Genetics).ResultsWe identify 569 genetic associations between 479 proteins and 438 unique genetic regions at a Bonferroni-adjusted significance level of 3.8×10-11. These associations include 114 novel locus-protein relationships and an additional 217 novel sentinel variant-protein relationships. Novel cardiovascular findings include new protein associations at the APOE gene locus including ZAP70 (sentinel single nucleotide polymorphism [SNP] rs7412-T, β=0.61±0.05, P=3.27×10-30) and MMP-3 (β=-0.60±0.05, P=1.67×10-32), as well as a completely novel pleiotropic locus at the HPX gene, associated with 9 proteins. Further, the associations suggest new mechanisms of genetically mediated cardiovascular disease linked to African ancestry; we identify a novel association between variants linked to APOL1-associated chronic kidney and heart disease and the protein CKAP2 (rs73885319-G, β=0.34±0.04, P=1.34×10-17) as well as an association between ATTR amyloidosis and RBP4 levels in community-dwelling individuals without heart failure.ConclusionsTaken together, these results provide evidence for the functional importance of variants in non-European populations, and suggest new biological mechanisms for ancestry-specific determinants of lipids, coagulation, and myocardial function.

Integrating genetic information with metabolomics has provided new insights into genes affecting human metabolism. However, gene-metabolite integration has been primarily studied in individuals of European Ancestry, limiting the opportunity to leverage genomic diversity for discovery. In addition, these analyses have principally involved known metabolites, with the majority of the profiled peaks left unannotated. Here, we perform a whole genome association study of 2,291 metabolite peaks (known and unknown features) in 2,466 Black individuals from the Jackson Heart Study. We identify 519 locus-metabolite associations for 427 metabolite peaks and validate our findings in two multi-ethnic cohorts. A significant proportion of these associations are in ancestry specific alleles including findings in APOE, TTR and CD36. We leverage tandem mass spectrometry to annotate unknown metabolites, providing new insight into hereditary diseases including transthyretin amyloidosis and sickle cell disease. Our integrative omics approach leverages genomic diversity to provide novel insights into diverse cardiometabolic diseases.

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes)1. In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.

Harmonization of acquisition and analysis protocols is an important step in the validation of BOLD MRI as a renal biomarker. This harmonization initiative provides technical recommendations based on a consensus report with the aim to move towards standardized protocols that facilitate clinical translation and comparison of data across sites. We used a recently published systematic review paper, which included a detailed summary of renal BOLD MRI technical parameters and areas of investigation in its supplementary material, as the starting point in developing the survey questionnaires for seeking consensus. Survey data were collected via the Delphi consensus process from 24 researchers on renal BOLD MRI exam preparation, data acquisition, data analysis, and interpretation. Consensus was defined as ≥ 75% unanimity in response. Among 31 survey questions, 14 achieved consensus resolution, 12 showed clear respondent preference (65-74% agreement), and 5 showed equal (50/50%) split in opinion among respondents. Recommendations for subject preparation, data acquisition, processing and reporting are given based on the survey results and review of the literature. These technical recommendations are aimed towards increased inter-site harmonization, a first step towards standardization of renal BOLD MRI protocols across sites. We expect this to be an iterative process updated dynamically based on progress in the field.

Hypertension is the major attributable risk factor for cardiovascular diseases (CVD) including heart failure (HF). As blood pressure increases, the risk of HF increases concomitantly. The incidence of HF continues to increase as people are living longer with comorbid diseases, and HF is a leading cause of morbidity and mortality in the United States. Black adults are disproportionately affected by hypertension and HF and develop CVD at younger ages compared to White adults. There are several factors which may contribute to these disparities including metabolic factors and sociodemographic factors. Treatment of hypertension can reduce the risk for HF. Lifestyle modification can be effective at reducing the risk of both hypertension and subsequent HF. Anti-hypertensive medications are available which are effective, safe, and cost-effective. Despite wide recognition that hypertension is a strong risk factor for HF, effective treatments for hypertension, and guideline recommendations for better blood pressure control, hypertension control rates remain poor in the United States. In this paper, we discuss the relationships between hypertension and HF, the impact of racial disparities on hypertension and HF, and prevention and treatment strategies. Keywords: Anti-hypertensive-medications, Blood-Pressure (BP), Ejection- Fraction (EF), Heart- Failure, Hypertension, Hypertrophy, Racial- Disparities, INTRODUCTION Hypertension is a major risk factor for cardiovascular diseases (CVD) worldwide. Normal blood pressure (BP) in adults is defined as a systolic BP (SBP) < 120 mmHg and a [...]

ObjectiveSmoking is a well-known cardiovascular risk factor associated with weight loss. We aimed to evaluate the association between smoking, serum leptin levels, and abdominal fat.DesignCross-sectional.SettingData from examinations 2 or 3 (2002-2005) of the Multi-Ethnic Study of Atherosclerosis (MESA).Participants1,875 asymptomatic, community-dwelling adults.Main outcome measuresWe used multivariable linear regression models to assess the race/ethnicity-specific associations between smoking, serum logeleptin levels, and computed tomography ascertained abdominal fat. Results were adjusted for demographic and relevantclinical covariates.ResultsParticipants (mean age 64.5±9.6 years; 50.6% women; 42.2% former, 11.4% current smokers) were White (40.1%), Hispanic (25.8%), African American (21.1%), and Chinese (13.0%). Overall, median (25th - 75th percentile) leptin levels were significantly lower among current (11.14 ng/mL; 4.13 - 26.18) and former smokers (11.68 ng/mL; 4.72 - 27.57), as compared with never smokers (15.61 ng/mL; 3.05 - 30.12) (P

BACKGROUND: Increased hsCRP (high-sensitivity C-reactive protein), a marker of inflammation, is associated with incident cardiovascular events. We aim to determine whether the baseline or trajectory of hsCRP levels over time predicts incident heart failure (HF) hospitalization. METHODS: JHS (Jackson Heart Study) participants' (n=3920 Black adults) hsCRP levels were measured over 3 visits (from 2000 to 2013). We assessed the association of hsCRP at baseline (visit 1) with incident HF hospitalization using Cox proportional hazards models. Furthermore, we assessed the association of the trajectory of hsCRP over repeated measurements (visits 1-3) with incident HF using joint models. Hazard ratios are reflective of an increase in hsCRP by 1 SD on a log2 scale. We also assessed the association of change in hsCRP between visit 1 and visit 3 with Cox proportional hazards models by grouping patients by low (<2 mg/L) and high (=2 mg/L) hsCRP levels. The 4 groups were low-to-low (referent), low-to-high, high-to-low, and high-to-high. RESULTS: Mean baseline age of participants was 54±13 years, and 63.8% were women. Over a median follow-up of 12 years, 308 (7.9%) participants were hospitalized with incident HF. Baseline hsCRP was not associated with incident HF (adjusted hazard ratio, 1.08 [95% CI, 0.96-1.22]). However, increasing hsCRP levels over repeated measures were associated with a higher risk of incident HF overall (adjusted hazard ratio, 1.22 [95% CI, 1.03-1.44]) and HF with preserved ejection fraction (adjusted hazard ratio, 1.30 [95% CI, 1.02-1.65]) but not HF with reduced ejection fraction (P>0.05). Furthermore, changes in hsCRP from low-to-high and high-to-low levels were associated with incident HF (P<0.05). CONCLUSIONS: While baseline hsCRP was not associated with incident HF, an increasing trajectory of hsCRP over time was associated with increased risk for incident HF (particularly HF with preserved ejection fraction). Temporal change in hsCRP may be an important marker of risk for incident HF with preserved ejection fraction in Black adults. [ABSTRACT FROM AUTHOR]

Over the past 3 decades, a substantial body of high-quality evidence has guided the diagnosis and management of elevated blood pressure (BP) in the outpatient setting. In contrast, there is a lack of comparable evidence for guiding the management of elevated BP in the acute care setting, resulting in significant practice variation. Throughout this scientific statement, we use the terms acute care and inpatient to refer to care received in the emergency department and after admission to the hospital. Elevated inpatient BP is common and can manifest either as asymptomatic or with signs of new or worsening target-organ damage, a condition referred to as hypertensive emergency. Hypertensive emergency involves acute target-organ damage and should be treated swiftly, usually with intravenous antihypertensive medications, in a closely monitored setting. However, the risk-benefit ratio of initiating or intensifying antihypertensive medications for asymptomatic elevated inpatient BP is less clear. Despite this ambiguity, clinicians prescribe oral or intravenous antihypertensive medications in approximately one-third of cases of asymptomatic elevated inpatient BP. Recent observational studies have suggested potential harms associated with treating asymptomatic elevated inpatient BP, which brings current practice into question. Despite the ubiquity of elevated inpatient BPs, few position papers, guidelines, or consensus statements have focused on improving BP management in the acute care setting. Therefore, this scientific statement aims to synthesize the available evidence, provide suggestions for best practice based on the available evidence, identify evidence-based gaps in managing elevated inpatient BP (asymptomatic and hypertensive emergency), and highlight areas requiring further research. [ABSTRACT FROM AUTHOR]