The HUA BioResource: A National Infrastructure for Genetic and Phenotypic Insights into BMI and Obesity in Greece.

IF 7.7 2区医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Journal of Biomedical and Health Informatics Pub Date : 2026-10-07 DOI:10.1109/JBHI.2026.3741223

Panagiotis G Symianakis, Ioanna Panagiota Kalafati, Charalampia Amerikanou, Despoina Brekou, Maria Dimitriou, Aliki-Eleni Farmaki, Olga Giannakopoulou, Panagiota Giardoglou, Effimia Grigoriou, Maria Kafyra, Stavroula Kanoni, Vassiliki-Eirini Kariakli, Efthymia A Katsareli, Eirini Marouli, Ioanna Ntalla, Natia A Pogosova, Eirini V Theodoraki, Maria Tsota, Andreas Alexandrou, Anastasia Amfilochiou, Erifili Hatziagelaki, Andriana C Kaliora, Alexander Kokkinos, Genovefa Kolovou, Loukianos S Rallidis, Kimon Stamatelopoulos, Nikolaos Tentolouris, Anastasia Thanopoulou, Konstantinos Triantafyllou, George Trovas, Antigone S Dimas, Vasiliki Mamakou, Konstantinos Rouskas, Panos Deloukas, Eleftheria Zeggini, George V Dedoussis

{"title":"The HUA BioResource: A National Infrastructure for Genetic and Phenotypic Insights into BMI and Obesity in Greece.","authors":"Panagiotis G Symianakis, Ioanna Panagiota Kalafati, Charalampia Amerikanou, Despoina Brekou, Maria Dimitriou, Aliki-Eleni Farmaki, Olga Giannakopoulou, Panagiota Giardoglou, Effimia Grigoriou, Maria Kafyra, Stavroula Kanoni, Vassiliki-Eirini Kariakli, Efthymia A Katsareli, Eirini Marouli, Ioanna Ntalla, Natia A Pogosova, Eirini V Theodoraki, Maria Tsota, Andreas Alexandrou, Anastasia Amfilochiou, Erifili Hatziagelaki, Andriana C Kaliora, Alexander Kokkinos, Genovefa Kolovou, Loukianos S Rallidis, Kimon Stamatelopoulos, Nikolaos Tentolouris, Anastasia Thanopoulou, Konstantinos Triantafyllou, George Trovas, Antigone S Dimas, Vasiliki Mamakou, Konstantinos Rouskas, Panos Deloukas, Eleftheria Zeggini, George V Dedoussis","doi":"10.1109/JBHI.2026.3741223","DOIUrl":null,"url":null,"abstract":"<p><p>The HUA BioResource (HUABR) is one of the first large-scale multicohort resources in Greece, integrating genetic and phenotypic data across 16 national studies. This paper presents the first comprehensive description of the HUA BioResource (HUABR), outlining its structure, data collection methodology, and research potential. The repository serves as a critical resource for investigating the interplay between genetics, lifestyle, and body mass index (BMI), enabling advanced analyses of obesity and obesity-related cardiometabolic disorders. Initial findings highlight significant associations between BMI and genetic predisposition as well as lifestyle, contextual and clinical factors, with polygenic risk scores (PRSs) enhancing obesity prediction models. By creating one of the first databases with unified, multidisciplinary data for Greek citizens, the HUA Bioresource fosters international collaborations and advances precision medicine, public health, and targeted prevention strategies.</p>","PeriodicalId":13073,"journal":{"name":"IEEE Journal of Biomedical and Health Informatics","volume":"PP ","pages":""},"PeriodicalIF":7.7000,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Biomedical and Health Informatics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1109/JBHI.2026.3741223","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

The HUA BioResource (HUABR) is one of the first large-scale multicohort resources in Greece, integrating genetic and phenotypic data across 16 national studies. This paper presents the first comprehensive description of the HUA BioResource (HUABR), outlining its structure, data collection methodology, and research potential. The repository serves as a critical resource for investigating the interplay between genetics, lifestyle, and body mass index (BMI), enabling advanced analyses of obesity and obesity-related cardiometabolic disorders. Initial findings highlight significant associations between BMI and genetic predisposition as well as lifestyle, contextual and clinical factors, with polygenic risk scores (PRSs) enhancing obesity prediction models. By creating one of the first databases with unified, multidisciplinary data for Greek citizens, the HUA Bioresource fosters international collaborations and advances precision medicine, public health, and targeted prevention strategies.

查看原文本刊更多论文

HUA生物资源：希腊BMI和肥胖的遗传和表型见解的国家基础设施。

HUA生物资源（HUABR）是希腊首批大规模多队列资源之一，整合了16个国家研究的遗传和表型数据。本文首次全面介绍了HUA生物资源（HUABR），概述了其结构，数据收集方法和研究潜力。该数据库是研究遗传、生活方式和身体质量指数（BMI）之间相互作用的关键资源，可以对肥胖和肥胖相关的心脏代谢疾病进行高级分析。初步研究结果强调了BMI与遗传易感性、生活方式、环境和临床因素之间的显著关联，多基因风险评分（PRSs）增强了肥胖预测模型。通过为希腊公民创建第一个统一的多学科数据数据库之一，HUA生物资源促进了国际合作，推进了精准医学、公共卫生和有针对性的预防战略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Journal of Biomedical and Health Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

CiteScore

13.60

自引率

6.50%

发文量

1151

期刊介绍： IEEE Journal of Biomedical and Health Informatics publishes original papers presenting recent advances where information and communication technologies intersect with health, healthcare, life sciences, and biomedicine. Topics include acquisition, transmission, storage, retrieval, management, and analysis of biomedical and health information. The journal covers applications of information technologies in healthcare, patient monitoring, preventive care, early disease diagnosis, therapy discovery, and personalized treatment protocols. It explores electronic medical and health records, clinical information systems, decision support systems, medical and biological imaging informatics, wearable systems, body area/sensor networks, and more. Integration-related topics like interoperability, evidence-based medicine, and secure patient data are also addressed.