Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association

Circulation, Journal Year: 2023, Volume and Issue: 147(8)

Published: Jan. 25, 2023

Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, weight) factors (cholesterol, blood pressure, glucose control) that contribute health. Statistical Update presents latest data on a range major clinical circulatory disease conditions (including congenital rhythm disorders, subclinical atherosclerosis, coronary failure, valvular venous peripheral artery disease) associated outcomes quality care, procedures, economic costs). Methods: through its Epidemiology Prevention Statistics Committee, continuously monitors evaluates sources stroke United States provide current information available annual review published literature year before writing. 2023 is product full year’s worth effort 2022 by dedicated volunteer clinicians scientists, committed government professionals, Association staff members. strives further understand help heal problems inflicted structural racism, public crisis can significantly damage mental perpetuate disparities access education, income, housing, several other vital healthy lives. This edition includes additional COVID-19 (coronavirus 2019) publications, as well monitoring benefits population, an enhanced focus equity across key domains. Results: Each chapters focuses different topic statistics. Conclusions: represents critical resource for lay public, policymakers, media clinicians, care administrators, researchers, advocates, others seeking best these conditions.

Language: Английский

---

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

Circulation, Journal Year: 2024, Volume and Issue: 149(8)

Published: Jan. 24, 2024

BACKGROUND: The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, obesity) factors (cholesterol, blood pressure, glucose control, metabolic syndrome) that contribute health. AHA Disease Stroke Statistical Update presents latest data on a range major clinical circulatory disease conditions (including brain health, complications pregnancy, kidney congenital rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary cardiomyopathy, failure, valvular venous thromboembolism, peripheral artery disease) associated outcomes quality care, procedures, economic costs). METHODS: AHA, through its Epidemiology Prevention Statistics Committee, continuously monitors evaluates sources stroke United States globally provide current information available annual review published literature year before writing. 2024 is product full year’s worth effort 2023 by dedicated volunteer clinicians scientists, committed government professionals, staff members. strives further understand help heal problems inflicted structural racism, public crisis can significantly damage mental perpetuate disparities access education, income, housing, several other vital healthy lives. This edition includes additional global data, as well monitoring benefits population, an enhanced focus equity across key domains. RESULTS: Each chapters focuses different topic statistics. CONCLUSIONS: represents critical resource for lay public, policymakers, media clinicians, care administrators, researchers, advocates, others seeking best these conditions.

Language: Английский

---

Environmental Risk Factors for Schizophrenia and Bipolar Disorder and Their Relationship to Genetic Risk: Current Knowledge and Future Directions

Frontiers in Genetics, Journal Year: 2021, Volume and Issue: 12

Published: June 28, 2021

Schizophrenia (SZ) and bipolar disorder (BD) are severe psychiatric disorders which result from complex interplay between genetic environmental factors. It is well-established that they highly heritable disorders, considerable progress has been made identifying their shared distinct risk However, the 15-40% of derived sources less definitively known. Environmental factors have repeatedly investigated often associated with SZ include: obstetric complications, infections, winter or spring birth, migration, urban living, childhood adversity, cannabis use. There evidence adversity some types infections also BD. Evidence for other in BD weaker due to fewer studies smaller sample sizes. Relatively few exposures ever examined BD, additional ones likely remain be discovered. A complete picture how confer these requires an understanding interact. Early gene-by-environment interaction both involved candidate genes were underpowered. Larger samples genome-wide data polygenic scores now offer enhanced prospects reveal interactions contribute disorders. Overall, although identified SZ, extent account total remains unknown. For not well understood merit further investigation. Questions regarding mechanisms by exert effects, ways differ sex. Concurrent investigations needed as we work toward a more comprehensive arise.

Language: Английский

---

Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders

Nature Mental Health, Journal Year: 2023, Volume and Issue: 1(3), P. 210 - 223

Published: March 22, 2023

Language: Английский

---

Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications

Nature Genetics, Journal Year: 2023, Volume and Issue: 55(12), P. 2094 - 2103

Published: Nov. 20, 2023

Abstract As recreational use of cannabis is being decriminalized in many places and medical widely sanctioned, there are growing concerns about increases disorder (CanUD), which associated with numerous comorbidities. Here we performed a genome-wide association study CanUD the Million Veteran Program (MVP), followed by meta-analysis 1,054,365 individuals ( n cases = 64,314) from four broad ancestries designated reference panel used for assignment (European 886,025, African 123,208, admixed American 38,289 East Asian 6,843). Population-specific methods were applied to calculate single nucleotide polymorphism-based heritability within each ancestry. Statistically significant was observed all but smallest population (East Asian). We discovered loci unique ancestry: 22 European, 2 Asian, 1 ancestries. A genetically informed causal relationship analysis indicated possible effect genetic liability on lung cancer risk, suggesting potential unanticipated future psychiatric public health consequences that require further disentangle other known risk factors such as cigarette smoking.

Language: Английский

---

Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes

Nature Human Behaviour, Journal Year: 2024, Volume and Issue: 8(6), P. 1177 - 1193

Published: April 17, 2024

Language: Английский

---

Genetics of substance use disorders in the era of big data

Nature Reviews Genetics, Journal Year: 2021, Volume and Issue: 22(11), P. 712 - 729

Published: July 1, 2021

Language: Английский

---

Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing

Nature Genetics, Journal Year: 2023, Volume and Issue: 55(2), P. 291 - 300

Published: Jan. 26, 2023

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

Language: Английский

---

Characterizing the Shared Genetic Underpinnings of Schizophrenia and Cardiovascular Disease Risk Factors

American Journal of Psychiatry, Journal Year: 2023, Volume and Issue: 180(11), P. 815 - 826

Published: Sept. 27, 2023

Schizophrenia is associated with increased risk of cardiovascular disease (CVD), although there variation in among individuals. There are indications shared genetic etiology between schizophrenia and CVD, but the nature overlap remains unclear. The aim this study was to fill gap knowledge.Overlapping architectures CVD factors were assessed by analyzing recent genome-wide association (GWAS) results. bivariate causal mixture model (MiXeR) applied estimate number variants conjunctional false discovery rate (conjFDR) approach used pinpoint specific loci.Extensive found factors, particularly smoking initiation (N=8.6K variants) body mass index (BMI) (N=8.1K variants). Several loci detected BMI (N=304), waist-to-hip ratio (N=193), (N=293), systolic (N=294) diastolic (N=259) blood pressure, type 2 diabetes (N=147), lipids (N=471), coronary artery (N=35). had mainly concordant effect directions, opposite directions. overlapping lipids, ratio, diabetes, mixed Functional analyses implicated mapped genes that expressed brain tissue immune cells.These findings indicate a propensity reduced obesity individuals schizophrenia. bidirectional effects other may imply differences liability across subgroups, possibly underlying comorbidity.

Language: Английский

---

The Landscape of Shared and Divergent Genetic Influences across 14 Psychiatric Disorders

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Abstract Psychiatric disorders display high levels of comorbidity and genetic overlap 1,2 . Genomic methods have shown that even for schizophrenia bipolar disorder, two long-thought to be etiologically distinct 3 , the majority signal is shared 4 Furthermore, recent cross-disorder analyses uncovered over a hundred pleiotropic loci across eight 5 However, full scope disorder-specific basis psychopathology remains largely uncharted. Here, we address this gap by triangulating suite cutting-edge statistical functional genomic applied 14 childhood- adult-onset psychiatric (1,056,201 cases). Our identify characterize five underlying factors 6 explain variance individual (∼66% on average) are associated with 268 loci. We observed particularly polygenic 7 local correlation 8 very few 9 defined by: ( i ) disorder (“SB factor”), ii major depression, PTSD, anxiety (“internalizing factor”). At level, multiple 10–12 which demonstrated SB factor was substantially enriched in genes expressed excitatory neurons, whereas internalizing oligodendrocyte biology. By comparison, all broad biological processes (e.g., transcriptional regulation). These results indicate increasing differentiation function at different risk, from quite general vulnerability more specific pathways subsets disorders. observations may inform neurobiologically valid nosology implicate novel targets therapeutic developments designed treat commonly occurring comorbid presentations.

Language: Английский

---