日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Remote delivery of cancer genetic testing in veterans with metastatic prostate cancer: A Million Veteran Program pilot study

为患有转移性前列腺癌的退伍军人提供远程癌症基因检测:百万退伍军人计划试点研究

Montgomery, Bruce; Lynch, Julie A; Brown, Jessica; Maxwell, Kara N; Teerlink, Craig C; Kabilovic, Nismeta; Stoll, Katie; Simon, Julie; Kogan, Maria; Hassan, Sajida; Whitbourne, Stacey B; Muralidhar, Sumitra; Schoen, Martin W; Ramoni, Rachel; Gaziano, J Michael; Sokolova, Alexandra O; Cheng, Heather H; Etzioni, Ruth; Pritchard, Colin C

Leveraging large-scale biobanks for therapeutic target discovery

利用大规模生物样本库发现治疗靶点

Ferolito, Brian R; Dashti, Hesam; Giambartolomei, Claudia; Peloso, Gina M; Golden, Daniel J; Gravel-Pucillo, Kai; Rasooly, Danielle; Horimoto, Andrea R V R; Matty, Rachael; Gaziano, Liam; Liu, Yi; Smit, Ines A; Zdrazil, Barbara; Tsepilov, Yakov; Costa, Lauren; Kosik, Nicole; Huffman, Jennifer E; Tartaglia, Gian Gaetano; Bini, Giorgio; Proietti, Gabriele; Ioannidis, Harris; Karim, Mohd A; Hunter, Fiona; Hemani, Gibran; Butterworth, Adam S; Di Angelantonio, Emanuele; Langenberg, Claudia; Ghoussaini, Maya; Leach, Andrew R; Liao, Katherine P; Damrauer, Scott; Selva, Luis E; Whitbourne, Stacey; Tsao, Philip S; Moser, Jennifer; Gaunt, Tom; Cai, Tianxi; Whittaker, John C; Casas, Juan P; Muralidhar, Sumitra; Gaziano, J Michael; Cho, Kelly; Pereira, Alexandre C

Opportunistic Genomic Screening for Familial Hypercholesterolemia to Improve Low-Density Lipoprotein Cholesterol: A Randomized Clinical Trial

针对家族性高胆固醇血症的机会性基因组筛查以改善低密度脂蛋白胆固醇:一项随机临床试验

Vassy, Jason L; Brunette, Charles A; Yi, Thomas; Assimes, Themistocles L; Christensen, Kurt D; Knowles, Joshua W; Sturm, Amy C; Sun, Yan V; Alexander, Nicholas; Cardellino, Mark P; Harrison, Alicia; Gerety, Haley L; Pyatt, Mary; Vered, Ron; Wilson, Peter W F; Natarajan, Pradeep; Whitbourne, Stacey B; Gaziano, J Michael; Muralidhar, Sumitra; Danowski, Morgan E

SAIGE-GPU: accelerating genome- and phenome-wide association studies using GPUs

SAIGE-GPU:利用GPU加速全基因组和全表型关联研究

Rodriguez, Alex; Kim, Youngdae; Nandi, Tarak Nath; Keat, Karl; Kumar, Rachit; Conery, Mitchell; Bhukar, Rohan; Liu, Molei; Hessington, John; Maheshwari, Ketan; Begoli, Edmon; Tourassi, Georgia; Muralidhar, Sumitra; Natarajan, Pradeep; Voight, Benjamin F; Cho, Kelly; Gaziano, John Michael; Damrauer, Scott M; Liao, Katherine P; Zhou, Wei; Huffman, Jennifer E; Verma, Anurag; Madduri, Ravi K

Integrative Proteome- and Phenome-Wide Assessment Uncovers Causal Protein Drivers and Drug Targets for Heterogeneous Kidney Diseases

整合蛋白质组和表型组的评估揭示了异质性肾脏疾病的致病蛋白驱动因素和药物靶点

Triozzi, Jefferson L; Mamak, Fatih; Wilson, Otis D; Chen, Hua-Chang; Yu, Zhihong; Gravel-Pucillo, Kai; Ferolito, Brian R; Cho, Kelly; Gaziano, John Michael; Muralidhar, Sumitra; Ikizler, T Alp; Robinson-Cohen, Cassianne; Giri, Ayush; Tao, Ran; Pereira, Alexandre C; Hung, Adriana M

Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program

多样性和规模:退伍军人事务部百万退伍军人计划中2068个性状的遗传结构

Verma, Anurag; Huffman, Jennifer E; Rodriguez, Alex; Conery, Mitchell; Liu, Molei; Ho, Yuk-Lam; Kim, Youngdae; Heise, David A; Guare, Lindsay; Panickan, Vidul Ayakulangara; Garcon, Helene; Linares, Franciel; Costa, Lauren; Goethert, Ian; Tipton, Ryan; Honerlaw, Jacqueline; Davies, Laura; Whitbourne, Stacey; Cohen, Jeremy; Posner, Daniel C; Sangar, Rahul; Murray, Michael; Wang, Xuan; Dochtermann, Daniel R; Devineni, Poornima; Shi, Yunling; Nandi, Tarak Nath; Assimes, Themistocles L; Brunette, Charles A; Carroll, Robert J; Clifford, Royce; Duvall, Scott; Gelernter, Joel; Hung, Adriana; Iyengar, Sudha K; Joseph, Jacob; Kember, Rachel; Kranzler, Henry; Kripke, Colleen M; Levey, Daniel; Luoh, Shiuh-Wen; Merritt, Victoria C; Overstreet, Cassie; Deak, Joseph D; Grant, Struan F A; Polimanti, Renato; Roussos, Panos; Shakt, Gabrielle; Sun, Yan V; Tsao, Noah; Venkatesh, Sanan; Voloudakis, Georgios; Justice, Amy; Begoli, Edmon; Ramoni, Rachel; Tourassi, Georgia; Pyarajan, Saiju; Tsao, Philip; O'Donnell, Christopher J; Muralidhar, Sumitra; Moser, Jennifer; Casas, Juan P; Bick, Alexander G; Zhou, Wei; Cai, Tianxi; Voight, Benjamin F; Cho, Kelly; Gaziano, J Michael; Madduri, Ravi K; Damrauer, Scott; Liao, Katherine P

Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk

多种族肺癌全基因组关联研究荟萃分析揭示了易感基因位点,并阐明了与吸烟无关的遗传风险。

Gorman, Bryan R; Ji, Sun-Gou; Francis, Michael; Sendamarai, Anoop K; Shi, Yunling; Devineni, Poornima; Saxena, Uma; Partan, Elizabeth; DeVito, Andrea K; Byun, Jinyoung; Han, Younghun; Xiao, Xiangjun; Sin, Don D; Timens, Wim; Moser, Jennifer; Muralidhar, Sumitra; Ramoni, Rachel; Hung, Rayjean J; McKay, James D; Bossé, Yohan; Sun, Ryan; Amos, Christopher I; Pyarajan, Saiju

Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users

集中式交互式表型组学资源:面向健康数据用户的集成式在线表型组学知识库

Honerlaw, Jacqueline; Ho, Yuk-Lam; Fontin, Francesca; Murray, Michael; Galloway, Ashley; Heise, David; Connatser, Keith; Davies, Laura; Gosian, Jeffrey; Maripuri, Monika; Russo, John; Sangar, Rahul; Tanukonda, Vidisha; Zielinski, Edward; Dubreuil, Maureen; Zimolzak, Andrew J; Panickan, Vidul A; Cheng, Su-Chun; Whitbourne, Stacey B; Gagnon, David R; Cai, Tianxi; Liao, Katherine P; Ramoni, Rachel B; Gaziano, J Michael; Muralidhar, Sumitra; Cho, Kelly

Development and utility of a clinical research informatics application for participant recruitment and workflow management for a return of results pilot trial in familial hypercholesterolemia in the Million Veteran Program

开发和应用临床研究信息学应用程序,用于招募参与者和管理工作流程,以开展百万退伍军人计划中家族性高胆固醇血症的结果反馈试点试验。

Brunette, Charles A; Yi, Thomas; Danowski, Morgan E; Cardellino, Mark; Harrison, Alicia; Assimes, Themistocles L; Knowles, Joshua W; Christensen, Kurt D; Sturm, Amy C; Sun, Yan V; Hui, Qin; Pyarajan, Saiju; Shi, Yunling; Whitbourne, Stacey B; Gaziano, J Michael; Muralidhar, Sumitra; Vassy, Jason L

A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now

一项具有里程碑意义的联邦跨部门合作项目,旨在促进医疗保健领域的数据科学:百万退伍军人计划——利用计算健康分析实现精准医疗,以立即改善治疗效果。

Justice, Amy C; McMahon, Benjamin; Madduri, Ravi; Crivelli, Silvia; Damrauer, Scott; Cho, Kelly; Ramoni, Rachel; Muralidhar, Sumitra