Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases DOI Creative Commons
Buu Truong, Leland E. Hull, Yunfeng Ruan

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Фев. 26, 2023

Polygenic risk scores (PRS) are an emerging tool to predict the clinical phenotypes and outcomes of individuals. Validation transferability existing PRS across independent datasets diverse ancestries limited, which hinders practical utility exacerbates health disparities. We propose PRSmix, a framework that evaluates leverages corpus target trait improve prediction accuracy, PRSmix+, incorporates genetically correlated traits better capture human genetic architecture. applied PRSmix 47 32 diseases/traits in European South Asian ancestries, respectively. demonstrated mean accuracy improvement 1.20-fold (95% CI: [1.10; 1.3]; P-value = 9.17 × 10

Язык: Английский

Multimodal biomedical AI DOI Open Access
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar

и другие.

Nature Medicine, Год журнала: 2022, Номер 28(9), С. 1773 - 1784

Опубликована: Сен. 1, 2022

Язык: Английский

Процитировано

567

15 years of GWAS discovery: Realizing the promise DOI Creative Commons
Abdel Abdellaoui, Loïc Yengo, Karin J. H. Verweij

и другие.

The American Journal of Human Genetics, Год журнала: 2023, Номер 110(2), С. 179 - 194

Опубликована: Янв. 11, 2023

Язык: Английский

Процитировано

292

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice DOI
Rohan Khera, Evangelos K. Oikonomou, Girish N. Nadkarni

и другие.

Journal of the American College of Cardiology, Год журнала: 2024, Номер 84(1), С. 97 - 114

Опубликована: Июнь 24, 2024

Язык: Английский

Процитировано

43

Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases DOI Creative Commons
Buu Truong, Leland E. Hull, Yunfeng Ruan

и другие.

Cell Genomics, Год журнала: 2024, Номер 4(4), С. 100523 - 100523

Опубликована: Март 19, 2024

Polygenic risk scores (PRSs) are an emerging tool to predict the clinical phenotypes and outcomes of individuals. We propose PRSmix, a framework that leverages PRS corpus target trait improve prediction accuracy, PRSmix+, which incorporates genetically correlated traits better capture human genetic architecture for 47 32 diseases/traits in European South Asian ancestries, respectively. PRSmix demonstrated mean accuracy improvement 1.20-fold (95% confidence interval [CI], [1.10; 1.3]; p = 9.17 × 10

Язык: Английский

Процитировано

28

Genetic variation across and within individuals DOI
Zhi Yu, Tim H. H. Coorens, Md Mesbah Uddin

и другие.

Nature Reviews Genetics, Год журнала: 2024, Номер 25(8), С. 548 - 562

Опубликована: Март 28, 2024

Язык: Английский

Процитировано

21

Genetic, sociodemographic, lifestyle, and clinical risk factors of recurrent coronary artery disease events: a population-based cohort study DOI Creative Commons
So Mi Jemma Cho, Satoshi Koyama, Michael C. Honigberg

и другие.

European Heart Journal, Год журнала: 2023, Номер 44(36), С. 3456 - 3465

Опубликована: Май 31, 2023

Abstract Aims Complications of coronary artery disease (CAD) represent the leading cause death among adults globally. This study examined associations and clinical utilities genetic, sociodemographic, lifestyle, risk factors on CAD recurrence. Methods results Data were from 7024 UK Biobank middle-aged with established at enrolment. Cox proportional hazards regressions modelled age enrolment, first diagnosis, sex, cigarette smoking, physical activity, diet, sleep, Townsend Deprivation Index, body mass index, blood pressure, lipids, glucose, lipoprotein(a), C reactive protein, estimated glomerular filtration rate (eGFR), statin prescription, polygenic score (PRS) post-enrolment Over a median [interquartile range] follow-up 11.6 [7.2–12.7] years, 2003 (28.5%) recurrent events occurred. The hazard ratio (95% confidence interval [CI]) for recurrence was most pronounced current smoking (1.35, 1.13–1.61) per standard deviation increase in (0.74, 0.67–0.82). Additionally, PRS, C-reactive low-density lipoprotein cholesterol, deprivation, sleep quality, eGFR, high-density (HDL) cholesterol also significantly associated risk. Based indices CI), strongest predictors PRS (0.58, 0.57–0.59), HDL (0.57, 0.57–0.58), initial event 0.56–0.57). In addition to traditional factors, comprehensive model improved index 0.644 (0.632–0.654) 0.676 (0.667–0.686). Conclusion Sociodemographic, clinical, laboratory are each genetic risk, event, concentration explaining most.

Язык: Английский

Процитировано

38

Clinical Pathway for Coronary Atherosclerosis in Patients Without Conventional Modifiable Risk Factors DOI Creative Commons
Gemma A. Figtree, Stephen T. Vernon,

Jason A. Harmer

и другие.

Journal of the American College of Cardiology, Год журнала: 2023, Номер 82(13), С. 1343 - 1359

Опубликована: Сен. 1, 2023

Reducing the incidence and prevalence of standard modifiable cardiovascular risk factors (SMuRFs) is critical to tackling global burden coronary artery disease (CAD). However, a substantial number individuals develop atherosclerosis despite no SMuRFs. SMuRFless patients presenting with myocardial infarction have been observed an unexpected higher early mortality compared their counterparts at least 1 SMuRF. Evidence for optimal management these lacking. We assembled international, multidisciplinary team evidence-based clinical pathway CAD patients. A modified Delphi method was applied. The resulting confirms underlying true status, ensures secondary prevention, considers additional tests interventions less typical contributors. This dedicated previously overlooked population, accompanying registry, aims improve outcomes through enhanced adherence prevention diagnosis observed.

Язык: Английский

Процитировано

35

Dissecting the polygenic basis of atherosclerosis via disease-associated cell state signatures DOI Creative Commons
Tiit Örd, Tapio Lönnberg,

Valtteri Nurminen

и другие.

The American Journal of Human Genetics, Год журнала: 2023, Номер 110(5), С. 722 - 740

Опубликована: Апрель 14, 2023

Coronary artery disease (CAD) is a pandemic where up to half of the risk explained by genetic factors. Advanced insights into basis CAD require deeper understanding contributions different cell types, molecular pathways, and genes heritability. Here, we investigate biological diversity atherosclerosis-associated states interrogate their contribution using single-cell bulk RNA sequencing (RNA-seq) mouse human lesions. We identified 12 disease-associated that characterized further gene set functional profiling, ligand-receptor prediction, transcription factor inference. Importantly, Vcam1+ smooth muscle state contributed most SNP-based heritability CAD. In line with this, variants near regulatory elements largest fraction CAD-risk variance between individuals. Using this information for variant prioritization, derived hybrid polygenic score (PRS) demonstrated improved performance over classical PRS. Our results provide mechanisms associated risk, which could make promising precision medicine tailored therapeutic interventions in future.

Язык: Английский

Процитировано

22

Advancements in risk stratification and management strategies in primary cardiovascular prevention DOI
Fotios Barkas, Yusuf Ziya Şener,

Pelin Golforoush

и другие.

Atherosclerosis, Год журнала: 2024, Номер 395, С. 117579 - 117579

Опубликована: Май 15, 2024

Язык: Английский

Процитировано

14

What Causes Premature Coronary Artery Disease? DOI

Ann Le,

Helen Peng,

D. Golinsky

и другие.

Current Atherosclerosis Reports, Год журнала: 2024, Номер 26(6), С. 189 - 203

Опубликована: Апрель 4, 2024

Язык: Английский

Процитировано

9