Integrated, Individualized, Intelligent Prescribing (I3P)

集成、个体化、智能处方(I3P)

基本信息

  • 批准号:
    8700883
  • 负责人:
  • 金额:
    $ 75.07万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-08-01 至 2018-05-31
  • 项目状态:
    已结题

项目摘要

A widely-held vision arising from the Human Genome Project is use of newly available genetic information to guide preventive and therapeutic decision making in individual patients. One therapeutic area that seems particularly ripe to test this concept is pharmacogenomics, the idea that variability in therapeutic response includes a genomic component. Common variation in both germline and somatic tumor genes is an increasingly well-recognized contributor to variability in drug response, and as a result, recommendations for genotype-guided therapy are being promulgated. Through leadership in multiple genomic networks, Vanderbilt has been at the forefront of pharmacogenomic discovery and translation of this knowledge into clinical practice locally. However, few institutions or practitioners have the procedures and tools in place to incorporate genetic data into routine drug prescribing. In this proposal, we move toward this practice by establishing a program for integrating genomic medicine in diverse healthcare settings. The purpose of the Integrated, Individualized, and Intelligent Prescribing (I3P) project is to perform a multi-site demonstration that integrating genetic data within electronic health records (EHRs) can improve healthcare. We will establish the processes and infrastructure necessary to disseminate clinical genetic testing, results reporting, and decision support into diverse hospital and EHR environments. This application focuses on pharmacogenomics, given the role of adverse drug reactions (ADRs) as major causes of morbidity and mortality, the increasing number of recognized variants included in US Food and Drug Administration (FDA) labels as mediators of both efficacy and toxicity, and the relative lack of stigma attached to carriers of variants in "pharmacogenes." The project will build on two ongoing, clinical genotyping efforts at Vanderbilt: 1) the Pharmacogenomic Resource for Enhanced Decisions In Care and Treatment (PREDICT) program, which prospectively tests patients for 184 high-value germline pharmacogenomic variants including those associated with clopidogrel, warfarin and simvastatin; and 2) the Personal Cancer Medicine Initiative (PCMI), which routinely performs multiplex tumor gene mutation testing in lung cancer and melanoma to direct therapy. I3P will leverage the existing expertise, informatics, and laboratory infrastructure and resources at Vanderbilt to implement genomic medicine in three diverse healthcare systems at "early adopter" sites. These healthcare systems include underserved, minority populations (Nashville General Hospital at Meharry Medical College), military populations (Nashville Veterans Affairs Medical Center), and a community health system (Aurora Health Care).
从人类基因组计划中产生的一个广泛持有的愿景是使用新的可用的遗传基因, 信息,以指导个体患者的预防和治疗决策。一 药物基因组学似乎是检验这一概念的一个特别成熟的治疗领域, 治疗反应的变异性包括基因组成分。常见变异 生殖系和体细胞肿瘤基因是一个越来越公认的贡献者, 药物反应的变异性,因此,基因型指导治疗的建议是 正在颁布。通过领导多个基因组网络,范德比尔特一直在 药物基因组学发现的最前沿,并将这些知识转化为临床 在当地实践。然而,很少有机构或从业人员具备这些程序和工具 将基因数据纳入常规药物处方。在这份提案中,我们朝着这一点迈进, 通过建立将基因组医学整合到各种医疗保健中的计划来实践 设置.综合、个性化和智能处方(I3 P)项目的目的是 进行多地点演示,将遗传数据整合到电子健康中, 电子病历(EHR)可以改善医疗保健。我们将建立流程和基础设施, 传播临床基因检测,结果报告和决策支持, 不同的医院和EHR环境。该应用程序侧重于药物基因组学, 药物不良反应(ADR)作为发病率和死亡率的主要原因, 美国食品药品监督管理局(FDA)认可的变体数量不断增加 标签作为疗效和毒性的介质,以及相对缺乏附加的耻辱, 药物基因变异的携带者。“该项目将建立在两个正在进行的,临床 范德比尔特的基因分型工作:1)用于增强决策的药物基因组学资源 护理和治疗(PREDICT)计划,该计划前瞻性地对患者进行184项高价值 生殖系药物基因组学变体,包括与氯吡格雷、华法林和 辛伐他汀; 2)个人癌症医学倡议(PCMI),该倡议定期进行 肺癌和黑色素瘤的多重肿瘤基因突变检测,以指导治疗。I3 P将 利用现有的专业知识、信息学和实验室基础设施和资源, 范德比尔特将在“早期”在三个不同的医疗保健系统中实施基因组医学 adopter”网站。这些医疗保健系统包括服务不足的少数民族人口(纳什维尔 梅哈里医学院总医院)、军人(纳什维尔退伍军人事务部 医疗中心)和社区卫生系统(奥罗拉卫生保健)。

项目成果

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Joshua C. Denny其他文献

ADT-2016-772-ver9-Pulley_4P 113..119
ADT-2016-772-ver9-Puley_4P 113..119
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jill M. Pulley;Jana K. Shirey;Robert R. Lavieri;Rebecca N. Jerome;Nicole M. Zaleski;David M. Aronoff;Lisa Bastarache;Xinnan Niu;Kenneth J. Holroyd;Dan M. Roden;Eric P. Skaar;Colleen M. Niswender;Lawrence J. Marnett;Craig W. Lindsley;Leeland B. Ekstrom;Alan R. Bentley;Gordon R. Bernard;Charles C. Hong;Joshua C. Denny
  • 通讯作者:
    Joshua C. Denny
A High-Throughput Genetic Analysis of Common Drug Allergy Labels Using Data from a Large Biobank
  • DOI:
    10.1016/j.jaci.2017.12.937
  • 发表时间:
    2018-02-01
  • 期刊:
  • 影响因子:
  • 作者:
    Elizabeth J. Phillips;Wei-Qi Wei;Christian Michael Shaffer;QiPing Feng;Cosby A. Stone;C. Michael Stein;Dan M. Roden;Joshua C. Denny
  • 通讯作者:
    Joshua C. Denny
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
2 型糖尿病病理生理学中异质性的遗传驱动因素
  • DOI:
    10.1038/s41586-024-07019-6
  • 发表时间:
    2024-02-19
  • 期刊:
  • 影响因子:
    48.500
  • 作者:
    Ken Suzuki;Konstantinos Hatzikotoulas;Lorraine Southam;Henry J. Taylor;Xianyong Yin;Kim M. Lorenz;Ravi Mandla;Alicia Huerta-Chagoya;Giorgio E. M. Melloni;Stavroula Kanoni;Nigel W. Rayner;Ozvan Bocher;Ana Luiza Arruda;Kyuto Sonehara;Shinichi Namba;Simon S. K. Lee;Michael H. Preuss;Lauren E. Petty;Philip Schroeder;Brett Vanderwerff;Mart Kals;Fiona Bragg;Kuang Lin;Xiuqing Guo;Weihua Zhang;Jie Yao;Young Jin Kim;Mariaelisa Graff;Fumihiko Takeuchi;Jana Nano;Amel Lamri;Masahiro Nakatochi;Sanghoon Moon;Robert A. Scott;James P. Cook;Jung-Jin Lee;Ian Pan;Daniel Taliun;Esteban J. Parra;Jin-Fang Chai;Lawrence F. Bielak;Yasuharu Tabara;Yang Hai;Gudmar Thorleifsson;Niels Grarup;Tamar Sofer;Matthias Wuttke;Chloé Sarnowski;Christian Gieger;Darryl Nousome;Stella Trompet;Soo-Heon Kwak;Jirong Long;Meng Sun;Lin Tong;Wei-Min Chen;Suraj S. Nongmaithem;Raymond Noordam;Victor J. Y. Lim;Claudia H. T. Tam;Yoonjung Yoonie Joo;Chien-Hsiun Chen;Laura M. Raffield;Bram Peter Prins;Aude Nicolas;Lisa R. Yanek;Guanjie Chen;Jennifer A. Brody;Edmond Kabagambe;Ping An;Anny H. Xiang;Hyeok Sun Choi;Brian E. Cade;Jingyi Tan;K. Alaine Broadaway;Alice Williamson;Zoha Kamali;Jinrui Cui;Manonanthini Thangam;Linda S. Adair;Adebowale Adeyemo;Carlos A. Aguilar-Salinas;Tarunveer S. Ahluwalia;Sonia S. Anand;Alain Bertoni;Jette Bork-Jensen;Ivan Brandslund;Thomas A. Buchanan;Charles F. Burant;Adam S. Butterworth;Mickaël Canouil;Juliana C. N. Chan;Li-Ching Chang;Miao-Li Chee;Ji Chen;Shyh-Huei Chen;Yuan-Tsong Chen;Zhengming Chen;Lee-Ming Chuang;Mary Cushman;John Danesh;Swapan K. Das;H. Janaka de Silva;George Dedoussis;Latchezar Dimitrov;Ayo P. Doumatey;Shufa Du;Qing Duan;Kai-Uwe Eckardt;Leslie S. Emery;Daniel S. Evans;Michele K. Evans;Krista Fischer;James S. Floyd;Ian Ford;Oscar H. Franco;Timothy M. Frayling;Barry I. Freedman;Pauline Genter;Hertzel C. Gerstein;Vilmantas Giedraitis;Clicerio González-Villalpando;Maria Elena González-Villalpando;Penny Gordon-Larsen;Myron Gross;Lindsay A. Guare;Sophie Hackinger;Liisa Hakaste;Sohee Han;Andrew T. Hattersley;Christian Herder;Momoko Horikoshi;Annie-Green Howard;Willa Hsueh;Mengna Huang;Wei Huang;Yi-Jen Hung;Mi Yeong Hwang;Chii-Min Hwu;Sahoko Ichihara;Mohammad Arfan Ikram;Martin Ingelsson;Md. Tariqul Islam;Masato Isono;Hye-Mi Jang;Farzana Jasmine;Guozhi Jiang;Jost B. Jonas;Torben Jørgensen;Frederick K. Kamanu;Fouad R. Kandeel;Anuradhani Kasturiratne;Tomohiro Katsuya;Varinderpal Kaur;Takahisa Kawaguchi;Jacob M. Keaton;Abel N. Kho;Chiea-Chuen Khor;Muhammad G. Kibriya;Duk-Hwan Kim;Florian Kronenberg;Johanna Kuusisto;Kristi Läll;Leslie A. Lange;Kyung Min Lee;Myung-Shik Lee;Nanette R. Lee;Aaron Leong;Liming Li;Yun Li;Ruifang Li-Gao;Symen Ligthart;Cecilia M. Lindgren;Allan Linneberg;Ching-Ti Liu;Jianjun Liu;Adam E. Locke;Tin Louie;Jian’an Luan;Andrea O. Luk;Xi Luo;Jun Lv;Julie A. Lynch;Valeriya Lyssenko;Shiro Maeda;Vasiliki Mamakou;Sohail Rafik Mansuri;Koichi Matsuda;Thomas Meitinger;Olle Melander;Andres Metspalu;Huan Mo;Andrew D. Morris;Filipe A. Moura;Jerry L. Nadler;Michael A. Nalls;Uma Nayak;Ioanna Ntalla;Yukinori Okada;Lorena Orozco;Sanjay R. Patel;Snehal Patil;Pei Pei;Mark A. Pereira;Annette Peters;Fraser J. Pirie;Hannah G. Polikowsky;Bianca Porneala;Gauri Prasad;Laura J. Rasmussen-Torvik;Alexander P. Reiner;Michael Roden;Rebecca Rohde;Katheryn Roll;Charumathi Sabanayagam;Kevin Sandow;Alagu Sankareswaran;Naveed Sattar;Sebastian Schönherr;Mohammad Shahriar;Botong Shen;Jinxiu Shi;Dong Mun Shin;Nobuhiro Shojima;Jennifer A. Smith;Wing Yee So;Alena Stančáková;Valgerdur Steinthorsdottir;Adrienne M. Stilp;Konstantin Strauch;Kent D. Taylor;Barbara Thorand;Unnur Thorsteinsdottir;Brian Tomlinson;Tam C. Tran;Fuu-Jen Tsai;Jaakko Tuomilehto;Teresa Tusie-Luna;Miriam S. Udler;Adan Valladares-Salgado;Rob M. van Dam;Jan B. van Klinken;Rohit Varma;Niels Wacher-Rodarte;Eleanor Wheeler;Ananda R. Wickremasinghe;Ko Willems van Dijk;Daniel R. Witte;Chittaranjan S. Yajnik;Ken Yamamoto;Kenichi Yamamoto;Kyungheon Yoon;Canqing Yu;Jian-Min Yuan;Salim Yusuf;Matthew Zawistowski;Liang Zhang;Wei Zheng;Leslie J. Raffel;Michiya Igase;Eli Ipp;Susan Redline;Yoon Shin Cho;Lars Lind;Michael A. Province;Myriam Fornage;Craig L. Hanis;Erik Ingelsson;Alan B. Zonderman;Bruce M. Psaty;Ya-Xing Wang;Charles N. Rotimi;Diane M. Becker;Fumihiko Matsuda;Yongmei Liu;Mitsuhiro Yokota;Sharon L. R. Kardia;Patricia A. Peyser;James S. Pankow;James C. Engert;Amélie Bonnefond;Philippe Froguel;James G. Wilson;Wayne H. H. Sheu;Jer-Yuarn Wu;M. Geoffrey Hayes;Ronald C. W. Ma;Tien-Yin Wong;Dennis O. Mook-Kanamori;Tiinamaija Tuomi;Giriraj R. Chandak;Francis S. Collins;Dwaipayan Bharadwaj;Guillaume Paré;Michèle M. Sale;Habibul Ahsan;Ayesha A. Motala;Xiao-Ou Shu;Kyong-Soo Park;J. Wouter Jukema;Miguel Cruz;Yii-Der Ida Chen;Stephen S. Rich;Roberta McKean-Cowdin;Harald Grallert;Ching-Yu Cheng;Mohsen Ghanbari;E-Shyong Tai;Josee Dupuis;Norihiro Kato;Markku Laakso;Anna Köttgen;Woon-Puay Koh;Donald W. Bowden;Colin N. A. Palmer;Jaspal S. Kooner;Charles Kooperberg;Simin Liu;Kari E. North;Danish Saleheen;Torben Hansen;Oluf Pedersen;Nicholas J. Wareham;Juyoung Lee;Bong-Jo Kim;Iona Y. Millwood;Robin G. Walters;Kari Stefansson;Emma Ahlqvist;Mark O. Goodarzi;Karen L. Mohlke;Claudia Langenberg;Christopher A. Haiman;Ruth J. F. Loos;Jose C. Florez;Daniel J. Rader;Marylyn D. Ritchie;Sebastian Zöllner;Reedik Mägi;Nicholas A. Marston;Christian T. Ruff;David A. van Heel;Sarah Finer;Joshua C. Denny;Toshimasa Yamauchi;Takashi Kadowaki;John C. Chambers;Maggie C. Y. Ng;Xueling Sim;Jennifer E. Below;Philip S. Tsao;Kyong-Mi Chang;Mark I. McCarthy;James B. Meigs;Anubha Mahajan;Cassandra N. Spracklen;Josep M. Mercader;Michael Boehnke;Jerome I. Rotter;Marijana Vujkovic;Benjamin F. Voight;Andrew P. Morris;Eleftheria Zeggini
  • 通讯作者:
    Eleftheria Zeggini
Computable phenotypes to identify respiratory viral infections in the All of Us research program
在“我们所有人”研究计划中用于识别呼吸道病毒感染的可计算表型
  • DOI:
    10.1038/s41598-025-02183-9
  • 发表时间:
    2025-05-28
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Bennett J. Waxse;Fausto Andres Bustos Carrillo;Tam C. Tran;Huan Mo;Emily E. Ricotta;Joshua C. Denny
  • 通讯作者:
    Joshua C. Denny
Genome-wide meta-analysis identifies novel risk loci for uterine fibroids within and across multiple ancestry groups
全基因组荟萃分析确定了多个种族群体内部和之间子宫肌瘤的新风险位点
  • DOI:
    10.1038/s41467-025-57483-5
  • 发表时间:
    2025-03-06
  • 期刊:
  • 影响因子:
    15.700
  • 作者:
    Jeewoo Kim;Ariel Williams;Hannah Noh;Elizabeth A. Jasper;Sarah H. Jones;James A. Jaworski;Megan M. Shuey;Edward A. Ruiz-Narváez;Lauren A. Wise;Julie R. Palmer;John Connolly;Jacob M. Keaton;Joshua C. Denny;Atlas Khan;Mohammad A. Abbass;Laura J. Rasmussen-Torvik;Leah C. Kottyan;Purnima Madhivanan;Karl Krupp;Wei-Qi Wei;Todd L. Edwards;Digna R. Velez Edwards;Jacklyn N. Hellwege
  • 通讯作者:
    Jacklyn N. Hellwege

Joshua C. Denny的其他文献

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{{ truncateString('Joshua C. Denny', 18)}}的其他基金

Data and Research Support Center
数据与研究支持中心
  • 批准号:
    9229610
  • 财政年份:
    2016
  • 资助金额:
    $ 75.07万
  • 项目类别:
Data and Research Support Center
数据与研究支持中心
  • 批准号:
    9312321
  • 财政年份:
    2016
  • 资助金额:
    $ 75.07万
  • 项目类别:
VGM: Vanderbilt Genomic Medicine Training Program
VGM:范德比尔特基因组医学培训计划
  • 批准号:
    9309008
  • 财政年份:
    2016
  • 资助金额:
    $ 75.07万
  • 项目类别:
Bio Repository Core
生物储存库核心
  • 批准号:
    9146144
  • 财政年份:
    2016
  • 资助金额:
    $ 75.07万
  • 项目类别:
Improving Prediction of Drug Action
改善药物作用的预测
  • 批准号:
    9262466
  • 财政年份:
    2015
  • 资助金额:
    $ 75.07万
  • 项目类别:
Improving Prediction of Drug Action
改善药物作用的预测
  • 批准号:
    9100795
  • 财政年份:
    2015
  • 资助金额:
    $ 75.07万
  • 项目类别:
VGER, the Vanderbilt Genome-Electronic Records Project
VGER,范德比尔特基因组电子记录项目
  • 批准号:
    9894963
  • 财政年份:
    2015
  • 资助金额:
    $ 75.07万
  • 项目类别:
VGER, the Vanderbilt Genome-Electronic Records Project
VGER,范德比尔特基因组电子记录项目
  • 批准号:
    9134824
  • 财政年份:
    2015
  • 资助金额:
    $ 75.07万
  • 项目类别:
Improving Prediction of Drug Action
改善药物作用的预测
  • 批准号:
    9194462
  • 财政年份:
    2015
  • 资助金额:
    $ 75.07万
  • 项目类别:
VGER, the Vanderbilt Genome-Electronic Records Project
VGER,范德比尔特基因组电子记录项目
  • 批准号:
    9283258
  • 财政年份:
    2015
  • 资助金额:
    $ 75.07万
  • 项目类别:

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CPS: Synergy: Collaborative Research: Distributed Asynchronous Algorithms and Software Systems for Wide-Area Mentoring of Power Systems
CPS:协同:协作研究:用于电力系统广域指导的分布式异步算法和软件系统
  • 批准号:
    1329745
  • 财政年份:
    2013
  • 资助金额:
    $ 75.07万
  • 项目类别:
    Standard Grant
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