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全部共 45 篇
公共数据库方法学Nature genetics

Rare variant effect estimation and polygenic risk prediction.

2 次引用趋势数据不足

由于罕见变异频率低,估计其效应具有挑战性。为此,研究提出RareEffect方法,先估计基于基因或区域的遗传力,再通过经验贝叶斯方法估计每个变异的效应大小。该方法采用罕见变异检验中常用的方差分量模型,可提供基因/区域水平和变异水平两个层次的效应大小,以便更好地解释。为校正表型中的病例对照不平衡,该方法采用Firth偏倚校正的快速实现。研究通过大量模拟及对UK Biobank全外显子组测序数据中100个性状的分析,验证了该方法的准确性和计算效率。此外,研究表明该模型获得的效应大小可用于改善多基因评分性能,从而优于近期开发的罕见变异多基因评分方法。

为什么值得关注

编辑短评

传统罕见变异检验只能得到基因水平 P 值,无法可靠估计单个变异效应;RareEffect 结合方差组分与经验贝叶斯,双层估计基因和单位点效应、校正病例对照偏倚,基于该效应构建的罕见变异 PRS 预测表现更好。

查看扩展信息

完整作者

Kisung Nam、Minjung Kho、Wei Zhou、Bhramar Mukherjee、Seunggeun Lee

作者机构

  • Graduate School of Data Science, Seoul National University, Seoul, South Korea.
  • Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.
  • Graduate School of Data Science, Seoul National University, Seoul, South Korea. lee7801@snu.ac.kr.

技术路线

数据/样本:UK Biobank全外显子组测序数据(100个性状)及模拟数据 → 分析:方差组分模型估计基因/区域水平遗传力,经验贝叶斯估计变异水平效应量,Firth偏倚校正处理病例对照不平衡

最近 5 个完整年度引用趋势

0110202102022020230202412025

不含 2026 年,仅展示最近 5 个完整年度。

数据来源:openalex更新时间:2026/11/01 03:55
公共数据库临床研究Cell

Advancing cancer detection and treatment using longitudinal routine clinical data.

2 次引用趋势数据不足

肿瘤管理在诊疗连续过程中仍较分散,从晚期诊断、挽救治疗到非个体化监测均存在碎片化问题。为此,研究提出统一多模态Transformer模型Oncoformer,基于中国肿瘤多模态预测与监测研究(COMPASS)队列(367万人、1770万次就诊)训练,并在包括英国生物样本库在内的独立外部队列中验证。该模型整合纵向电子健康记录与胸部X线影像,可完成泛癌诊断(AUROC=0.956)、诊断前1年内未来癌症预测(AUROC=0.869)、肿瘤分期推断(平均AUROC>0.90)、患者特异性治疗反应预测及10种癌症的无复发生存分层(均p<0.01)。分期预测经术后病理终点独立验证,并显示集中于核心癌症基因组通路。Oncoformer通过将常规临床数据转化为癌症动态演化视图,为基于常规临床数据的风险知情癌症预测与治疗分层提供了框架。

为什么值得关注

编辑短评

癌症是动态演化疾病,碎片化、单任务模型不匹配临床需求;Oncoformer 证明整合纵向常规临床 + 影像时序信息,能用一套模型实现提前预警、诊断、分期、疗效与复发风险分层,把静态筛查升级成动态个体化肿瘤全程监测。

查看扩展信息

完整作者

Fei Liu、Kai Wang、Hui Xu、Cheng Tang、Xian Shen、Meihao Wang、Lei Yang、Li Yang、Li Liu、Changxi Hu、Gen Li、Wei Wu、Zixing Zou、Bingzhou Li、Sian Liu、Jin Kang、Jungho Kong、Ting Li、Io Nam Wong、Xiaoying Huang、Gang Chen、Wenyang Lu、Ian Ziyar、Charlotte L Zhang、Yiwen Sun、Weihong Lin、Caiwen Ou、Manson Fok、Taiwa Hou、Winston Wang、Kanmin Xue、Yun Yin、Hao Zhu、Jonathan Gootenberg、Omar O Abudayyeh、Michael Karin、Alexandre Loupy、John E J Rasko、Trey Ideker、Huiyan Luo、Eric Oermann、Kang Zhang、International Consortium of Digital Twins in Healthcare and Medicine

作者机构

  • Clinical Data Science Institute, State Key Laboratory of Macromolecular Drugs and Large-scale Manufacturing, and The Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China; Department of Urology, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Artificial Intelligence Cross Disciplinary Research Institute, Faculty of Medicine, Macau University of Science and Technology, Macau, China; Guangzhou National Laboratory, Guangzhou, China.
  • Artificial Intelligence Cross Disciplinary Research Institute, Faculty of Medicine, Macau University of Science and Technology, Macau, China; State Key Laboratory of Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
  • Clinical Data Science Institute, State Key Laboratory of Macromolecular Drugs and Large-scale Manufacturing, and The Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China; State Key Laboratory of Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
  • Clinical Data Science Institute, State Key Laboratory of Macromolecular Drugs and Large-scale Manufacturing, and The Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China; Department of General Surgery, Department of Hepatobiliary Surgery, Zhejiang-Germany Interdisciplinary Joint Laboratory of Hepatobiliary-Pancreatic Tumor and Bioengineering, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Department of Radiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China; Key Laboratory of Intelligent Medical Imaging of Wenzhou, Healthcare Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Department of Orthopedics, Key Laboratory of Hepatosplenic Surgery of Ministry of Education, the First Affiliated Hospital, Harbin Medical University, Harbin, China.
  • Department of Respiratory and Critical Care Medicine, Center for Big Data and Intelligent Medicine, the First Affiliated Hospital of Chongqing Medical University, Key Laboratory of Digital Health and Intelligent Medicine, Chongqing Municipal Health Commission, Chongqing Translational Medicine Center, Chongqing, China.
  • Department of Health Management, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Peking-Tsinghua Center for Life Sciences, Beijing, China.
  • Artificial Intelligence Cross Disciplinary Research Institute, Faculty of Medicine, Macau University of Science and Technology, Macau, China; Guangzhou National Laboratory, Guangzhou, China.
  • Artificial Intelligence Cross Disciplinary Research Institute, Faculty of Medicine, Macau University of Science and Technology, Macau, China.
  • Departments of Medicine and Bioengineering, Moores Cancer Center, School of Medicine, UC San Diego, CA, USA.
  • Division of Pulmonary Medicine, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou Key Laboratory of Interdisciplinary and Translational Medicine, Wenzhou Key Laboratory of Heart and Lung, Wenzhou, Zhejiang, China.
  • Nepean Hospital, Sydney, Australia.
  • Key Laboratory of Intelligent Medical Imaging of Wenzhou, Healthcare Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Dongguan Hospital, Southern Medical University, Guangzhou, China.
  • Conde S. Januario Hospital, Macau, China.
  • Department of Internal Medicine, Mayo Clinic, Arizona, USA.
  • Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Clinical Data Science Institute, State Key Laboratory of Macromolecular Drugs and Large-scale Manufacturing, and The Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China; Faculty of Health and Wellness, Faculty of Business, City University of Macau, Taipa, Macau SAR, China.
  • Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Gene and Cell Therapy Institute, Mass General Brigham, Cambridge, MA, USA.
  • Université Paris Cité, INSERM U970 PARCC, Paris Institute for Transplantation and Organ Regeneration, F-75015 Paris, France; Department of Kidney Transplantation, Assistance Publique - Hôpitaux de Paris, Paris, France.
  • Artificial Intelligence Cross Disciplinary Research Institute, Faculty of Medicine, Macau University of Science and Technology, Macau, China; Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China.
  • Departments of Medicine and Bioengineering, Moores Cancer Center, School of Medicine, UC San Diego, CA, USA; Big Data Institute, Oxford University, Oxford, UK.
  • Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China.
  • Departments of Neurosurgery, Radiology, and Data Science, Neuroscience Institute, NYU Langone Medical Center, New York University, New York, NY, USA.
  • Clinical Data Science Institute, State Key Laboratory of Macromolecular Drugs and Large-scale Manufacturing, and The Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China; Artificial Intelligence Cross Disciplinary Research Institute, Faculty of Medicine, Macau University of Science and Technology, Macau, China; Guangzhou National Laboratory, Guangzhou, China; State Key Laboratory of Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China. Electronic address: kang.zhang@gmail.com.

技术路线

3.67 million individuals/17.7 million clinical visits (COMPASS cohort, longitudinal EHR + chest X-ray) → Oncoformer unified multimodal transformer analysis → validation on independent external cohorts including UK Biobank, with staging independently validated against postoperative pathological endpoints and convergence on core cancer genomic pathways

最近 5 个完整年度引用趋势

0110202102022020230202402025

不含 2026 年,仅展示最近 5 个完整年度。

数据来源:openalex更新时间:2026/11/01 06:32
临床队列临床研究Nature medicine

Longitudinal plasma proteomics predict phenoconversion to clinically manifest ALS.

5 次引用趋势数据不足

一项纵向Olink Explore高通量血浆蛋白质组研究纳入33例表型转化者、35例ALS患者、10例症状前致病性变异携带者和59例对照的516份系列血浆样本,识别出92种在表型转化前浓度发生变化的蛋白质,并确定由19种蛋白质组成的核心组合;该组合可预测0.5至5年时间范围内的表型转化(交叉验证曲线下面积0.80-0.89),估算转化时间的平均绝对误差为1.6年。上述发现在英国生物银行数据中得到部分重复,证实NEFL、EDA2R和CA3等多种蛋白质在症状前升高,且多蛋白组合在估算表型转化时间方面优于单独使用NEFL。研究揭示症状前ALS的生物学特征,并基于纵向实证数据识别出一组新的易感性/风险生物标志物组合,有助于推进ALS预防目标。

为什么值得关注

编辑短评

本研究针对ALS症状前表型转化难以预测的瓶颈,基于纵向血浆Olink蛋白质组学识别转化前变化蛋白并构建19蛋白组合,可预测0.5-5年转化时间,并在UK Biobank中部分重复。其为症状前ALS生物学及预防试验富集提供了候选风险标志物依据。

查看扩展信息

完整作者

Ximing Ran、Joanne Wuu、Zhaohui S Qin、Michael P McDermott、Johnathan Cooper-Knock、Yindi Li、Volkan Granit、Anne-Laure Grignon、Elizabeth Lin、Maria Catalina Fernandez、Danielle Colato、Nathan Carberry、Christina M Lill、Paolo Piazza、Andrea Malaspina、Michael Benatar

作者机构

  • Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
  • Department of Computer Science, Emory University, Atlanta, GA, USA.
  • Department of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
  • Department of Neurology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
  • Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK.
  • NIHR Sheffield Biomedical Research Centre, Sheffield, UK.
  • Department of Neuromuscular Diseases, UCL Queen Square Motor Neuron Disease Center, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
  • Ageing and Epidemiology Unit (AGE), School of Public Health, Imperial College London, London, UK.
  • Nuffield Department of Medicine, Centre for Human Genetics, University of Oxford, Oxford, UK.
  • Department of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA. mbenatar@med.miami.edu.

技术路线

纵向血浆样本(33例表型转化者、35例ALS患者、10例症状前携带者、59例对照,共516份系列血浆)→Olink Explore高通量蛋白质组学分析→识别92个表型转化前浓度变化蛋白并刻画纵向轨迹→构建19蛋白核心组合,交叉验证AUC 0.80-0.89预测0.5-5年表型转化、平均绝对误差1.6年→UK Biobank数据部分重复验证(NEFL、EDA2R、CA3等症状前升高,多蛋白组合优于单用NEFL)

最近 5 个完整年度引用趋势

0110202102022020230202402025

不含 2026 年,仅展示最近 5 个完整年度。

数据来源:openalex更新时间:2026/11/01 03:56
公共数据库方法学Nature genetics

Extending genome-wide association studies to admixed cohorts with high degrees of relatedness.

2 次引用趋势数据不足

混血人群占全球人口很大比例,但因分析挑战常被全基因组关联研究(GWAS)排除。研究团队此前开发了Tractor,一种基于局部 ancestry 的GWAS工具,专为混血样本设计,可产生准确的 ancestry 特异性效应量并提升发现 ancestry 富集位点的能力,但该工具假设样本无亲缘关系。为此,作者提出Tractor-Mix,允许在包含具有亲缘关系的混血样本的数据集中进行良好校准的关联研究。大量模拟显示,该方法与不产生 ancestry 特异性结果的其他先进方法相比具有竞争力。在英国生物银行、Yale-Penn队列和墨西哥城前瞻性研究的混血样本上的实证测试凸显了该方法的价值,识别出 ancestry 特异性关联。总之,Tractor-Mix扩展了现有模型的能力,使具有亲缘关系的混血样本能够进行良好校准的GWAS。

为什么值得关注

编辑短评

传统 Tractor 假设样本无亲缘,Tractor‑Mix 通过混合模型纳入亲缘关系,在同时有混合祖源 + 亲缘的队列中实现校准可靠的 GWAS,并保留估计祖先特异性遗传效应的能力,释放大型生物库中混合祖源亲缘样本的分析价值。

查看扩展信息

完整作者

Taotao Tan、Alejandra Vergara-Lope、José Jaime Martínez-Magaña、Nirav N Shah、Yi-Sian Lin、Kai Yuan、Jaime Berumen、Jesus Alegre-Díaz、Pablo Kuri-Morales、Roberto Tapia-Conyer、Joel Gelenter、Janitza L Montalvo-Ortiz、Wei Zhou、Jason M Torres、Elizabeth G Atkinson

作者机构

  • Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
  • Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, USA.
  • Clinical Trial Service Unit and Epidemiological Studies Unit, Oxford Population Health, Big Data Institute, University of Oxford, Oxford, UK.
  • Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
  • VA Connecticut Healthcare System, West Haven, CT, USA.
  • Clinical Neurosciences Division, US Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, West Haven, CT, USA.
  • Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
  • Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Experimental Research Unit, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
  • Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
  • Instituto Tecnológico y de Estudios Superiores de Monterrey, Monterrey, Mexico.
  • Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA. Elizabeth.Atkinson@bcm.edu.
  • Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA. Elizabeth.Atkinson@bcm.edu.

技术路线

混合作战样本(UK Biobank、Yale-Penn队列、墨西哥城前瞻性研究) → Tractor-Mix关联分析(考虑亲缘关系与局部祖先)

最近 5 个完整年度引用趋势

0110202102022020230202402025

不含 2026 年,仅展示最近 5 个完整年度。

数据来源:openalex更新时间:2026/11/01 06:10
公共数据库基础研究Science (New York, N.Y.)

Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed.

16 次引用引用上升

研究基于Trans-Omics for Precision Medicine项目的14,324份RNA测序样本,在包括全血(n=6,454)和肺(n=1,291)在内的六种组织和细胞类型中开展表达与剪接数量性状位点(e/sQTL)分析。研究检测到数万个次级顺式e/sQTL,表明次级顺式e/sQTL的发现仍未饱和。对UK Biobank中164种性状的全基因组关联研究信号进行精细定位,共识别出10,611个e/sQTL共定位信号,其中7,096个与次级e/sQTL共定位。结果提示,更大规模的e/sQTL分析将发现更多次级e/sQTL,从而进一步有助于GWAS解读。

为什么值得关注

编辑短评

基因表达遗传调控不是一个基因一个主信号;次级 cis-QTL 还有大量待发现,并且是解读 GWAS 风险位点的关键,很多 trans 效应本质上由 cis 中介传递。

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完整作者

Peter Orchard、Thomas W Blackwell、Linda Kachuri、Peter J Castaldi、Michael H Cho、Stephanie A Christenson、Peter Durda、Stacey Gabriel、Craig P Hersh、Scott Huntsman、Seungyong Hwang、Roby Joehanes、Mari Johnson、Xingnan Li、Honghuang Lin、Ching-Ti Liu、Yongmei Liu、Angel C Y Mak、Ani W Manichaikul、David T Paik、Aabida Saferali、Joshua D Smith、Kent D Taylor、Russell P Tracy、Jiongming Wang、Mingqiang Wang、Joshua S Weinstock、Jeffrey Weiss、Heather E Wheeler、Ying Zhou、Sebastian Zöllner、Joseph C Wu、Luisa Mestroni、Sharon Graw、Matthew R G Taylor、Victor E Ortega、W Craig Johnson、Weiniu Gan、Goncalo Abecasis、Deborah A Nickerson、Namrata Gupta、Kristin Ardlie、Prescott G Woodruff、Russell P Bowler、Deborah A Meyers、Alex Reiner、Charles Kooperberg、Elad Ziv、Ramachandran S Vasan、Martin G Larson、L Adrienne Cupples、Edwin K Silverman、Stephen S Rich、Nancy Heard-Costa、Hua Tang、Jerome I Rotter、Albert V Smith、Daniel Levy、NHLBI TOPMed Consortium Multi-Omics Working Group32、NHLBI TOPMed Consortium32§、François Aguet、Laura J Scott、Laura M Raffield、Stephen C J Parker、Namiko Abe、Laura Almasy、Seth Ament、Pramod Anugu、Paul Auer、Dimitrios Avramopoulos、Adithya Balasubramanian、R Graham Barr、Lucas Barwick、Terri Beaty、Diane Becker、Lewis Becker、Amber Beitelshees、Takis Benos、Marcos Bezerra、Joshua Bis、Jennifer Brody、Ulrich Broeckel、Jai Broome、Karen Bunting、Erin Buth、Vincent Carey、Cara Carty、Richard Casaburi、Mark Chaffin、Christy Chang、Yi-Cheng Chang、Sameer Chavan、Bo-Juen Chen、Wei-Min Chen、Seung Hoan Choi、Lee-Ming Chuang、Ren-Hua Chung、Matthew Conomos、Elaine Cornell、Carolyn Crandall、James Crapo、Jeffrey Curtis、Coleen Damcott、Sean David、Lisa de Las Fuentes、Paul de Vries、Ranjan Deka、Dawn DeMeo、Scott Devine、Huyen Dinh、Harsha Doddapaneni、Qing Duan、Ravi Duggirala、Charles Eaton、Lynette Ekunwe、Adel El Boueiz、Leslie Emery、Charles Farber、Jesse Farek、Nora Franceschini、Chris Frazar、Mao Fu、Stephanie M Fullerton、Lucinda Fulton、Shanshan Gao、Yan Gao、Margery Gass、Heather Geiger、Auyon Ghosh、Chris Gignoux、David Glahn、Stephanie Gogarten、Da-Wei Gong、Harald Goring、Daniel Grine、C Charles Gu、Yue Guan、Michael Hall、Yi Han、Daniel Harris、Ben Heavner、David Herrington、Brian Hobbs、Elliott Hong、Karin Hoth、Chao Agnes Hsiung、Jianhong Hu、Yi-Jen Hung、Haley Huston、Chii Min Hwu、Rebecca Jackson、Deepti Jain、Jill Johnsen、Rich Johnston、Kimberly Jones、Michael Kessler、Alyna Khan、Ziad Khan、Wonji Kim、John Kimoff、Greg Kinney、Holly Kramer、Christoph Lange、Ethan Lange、Cathy Laurie、Cecelia Laurie、Meryl LeBoff、Sandra Lee、Wen-Jane Lee、David Levine、Joshua Lewis、Yun Li、Xihong Lin、Simin Liu、Yu Liu、Barry Make、Alisa Manning、JoAnn Manson、Lisa Martin、Melissa Marton、Susan Mathai、Susanne May、Patrick McArdle、Merry-Lynn McDonald、Sean McFarland、Daniel McGoldrick、Caitlin McHugh、Hao Mei、James Meigs、Vipin Menon、Nancy Min、Matt Moll、Zeineen Momin、May Montasser、Josyf C Mychaleckyj、Rakhi Naik、Take Naseri、Pradeep Natarajan、Sarah C Nelson、Bonnie Neltner、Caitlin Nessner、Osuji Nkechinyere、Jeff O'Connell、Tim O'Connor、Heather Ochs-Balcom、Geoffrey Okwuonu、James Pankow、Cora Parker、Gina Peloso、Juan Manuel Peralta、Marco Perez、James Perry、Ulrike Peters、Lawrence S Phillips、Toni Pollin、Julia Powers Becker、Meher Preethi Boorgula、Bruce Psaty、Dandi Qiao、Nicholas Rafaels、Mahitha Rajendran、Laura Rasmussen-Torvik、Aakrosh Ratan、Robert Reed、Elizabeth Regan、Muagututi'a Sefuiva Reupena、Rebecca Robillard、Carolina Roselli、Ingo Ruczinski、Alexi Runnels、Pamela Russell、Kathleen Ryan、Ester Cerdeira Sabino、Shabnam Salimi、Sejal Salvi、Steven Salzberg、Kevin Sandow、Jireh Santibanez、Karen Schwander、Frank Sciurba、Frédéric Sériès、Amol Shetty、Aniket Shetty、Brian Silver、Robert Skomro、Tanja Smith、Sylvia Smoller、Beverly Snively、Adrienne M Stilp、Garrett Storm、Elizabeth Streeten、Jessica Lasky Su、Yun Ju Sung、Jody Sylvia、Adam Szpiro、Margaret Taub、Simeon Taylor、Timothy A Thornton、Machiko Threlkeld、Lesley Tinker、David Tirschwell、Hemant Tiwari、Catherine Tong、Michael Tsai、Dhananjay Vaidya、Tarik Walker、Robert Wallace、Avram Walts、Fei Fei Wang、Heming Wang、Karol Watson、Jennifer Watt、Lu-Chen Weng、Jennifer Wessel、Kayleen Williams、Carla Wilson、James Wilson、Lara Winterkorn、Quenna Wong、Baojun Wu、Huichun Xu、Lisa Yanek、Ivana Yang、Seyedeh Maryam Zekavat、Snow Xueyan Zhao、Wei Zhao、Xiaofeng Zhu

作者机构

  • Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
  • Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Department of Epidemiology and Population Health, School of Medicine, Stanford University, Stanford, CA, USA.
  • Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA.
  • Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Department of Genetics, Stanford University, Stanford, CA, USA.
  • Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
  • Framingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health and Boston University, Framingham, MA, USA.
  • Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA.
  • Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, USA.
  • Department of Genome Sciences, School of Medicine, University of Virginia, Charlottesville, VA, USA.
  • Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.
  • Northwest Genomics Center, University of Washington, Seattle, WA, USA.
  • The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Laboratory for Clinical Biochemistry Research, Larner College of Medicine, University of Vermont, Burlington, VT, USA.
  • Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Program in Bioinformatics, Loyola University Chicago, Chicago, IL, USA.
  • Department of Biology, Loyola University Chicago, Chicago, IL, USA.
  • Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Department of Medicine, Adult Medical Genetics Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Department of Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Phoenix, AZ, USA.
  • Collaborative Health Studies Coordinating Center, University of Washington, Seattle, WA, USA.
  • National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
  • Department of Genome Sciences, University of Washington, Seattle, WA, USA.
  • Cardiovascular Research Institute, University of California, San Francisco; San Francisco, CA, USA.
  • Department of Genomic Sciences and Systems Biology, Cleveland Clinic, Cleveland, OH, USA.
  • Department of Medicine, Mayo Clinic, Scottsdale, AZ, USA.
  • Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
  • Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
  • Department of Medicine, School of Medicine, Boston University, Boston, MA, USA.
  • Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA.
  • Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA.
  • New York Genome Center, New York, NY, USA.
  • Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
  • University of Maryland, Baltimore, MD, USA.
  • University of Mississippi, Jackson, MS, USA.
  • Medical College of Wisconsin, Milwaukee, WI, USA.
  • Johns Hopkins University, Baltimore, MD, USA.
  • Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA.
  • Columbia University, New York, NY, USA.
  • The Emmes Corporation, Rockville, MD, USA.
  • University of Pittsburgh, Pittsburgh, PA, USA.
  • Fundação de Hematologia e Hemoterapia de Pernambuco - Hemope, Recife, Brazil.
  • University of Washington, Seattle, WA, USA.
  • Brigham andWomen's Hospital, Boston, MA, USA.
  • Washington State University, Pullman, WA, USA.
  • University of California, Los Angeles, Los Angeles, CA, USA.
  • Broad Institute, Cambridge, MA, USA.
  • National Taiwan University, Taipei, Taiwan (Province of China).
  • University of Colorado at Denver, Denver, CO, USA.
  • University of Virginia, Charlottesville, VA, USA.
  • National Health Research Institute Taiwan, Miaoli County, Taiwan (Province of China).
  • University of Vermont, Burlington, VT, USA.
  • National Jewish Health, Denver, CO, USA.
  • University of Michigan, Ann Arbor, MI, USA.
  • University of Chicago, Chicago, IL, USA.
  • Washington University in St. Louis, St. Louis, MO, USA.
  • University of Texas Health at Houston, Houston, TX, USA.
  • University of Cincinnati, Cincinnati, OH, USA.
  • University of North Carolina, Chapel Hill, NC, USA.
  • University of Texas Rio Grande Valley School of Medicine, Edinburg, TX, USA.
  • Harvard University, Cambridge, MA, USA.
  • Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • New York Genome Center, New York City, NY, USA.
  • Stanford University, Stanford, CA, USA.
  • Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
  • University of Texas Rio Grande Valley School of Medicine, San Antonio, TX, USA.
  • University of Maryland, Philadelphia, PA, USA.
  • Wake Forest Baptist Health, Winston-Salem, NC, USA.
  • University of Iowa, Iowa City, IA.
  • Tri-Service General Hospital National Defense Medical Center, Taiwan (Province of China).
  • Blood Works Northwest, Seattle, WA, USA.
  • Taichung Veterans General Hospital Taiwan, Taichung City, Taiwan (Province of China).
  • Oklahoma State University Medical Center, Columbus, OH, USA.
  • Emory University, Atlanta, GA, USA.
  • McGill University, Montréal, QC, Canada.
  • University of Colorado at Denver, Aurora, CO, USA.
  • Loyola University, Maywood, IL, USA.
  • Harvard School of Public Health, Boston, MA, USA.
  • Brown University, Providence, RI, USA.
  • Broad Institute, Harvard University, Massachusetts General Hospital, Boston, MA, USA.
  • George Washington University, Washington, DC, USA.
  • University of Alabama, Birmingham, AL, USA.
  • Massachusetts General Hospital, Boston, MA, USA.
  • National Heart, Lung, and Blood Institute, Bethesda, MD, USA.
  • Ministry of Health, Government of Samoa, Apia, Samoa.
  • University at Buffalo, Buffalo, NY, USA.
  • University of Minnesota, Minneapolis, MN, USA.
  • RTI International, Research Triangle Park, NC, USA.
  • Boston University, Boston, MA, USA.
  • Northwestern University, Chicago, IL, USA.
  • Lutia I Puava Ae Mapu I Fagalele, Apia, Samoa.
  • University of Ottawa, Ottawa, ON, Canada.
  • Universidade de Sao Paulo, Sao Paulo, Brazil.
  • University of Maryland, Seattle, WA, USA.
  • Lundquist Institute, Torrance, CA, USA.
  • Université Laval, Quebec City, Canada.
  • UMass Memorial Medical Center, Worcester, MA, USA.
  • University of Saskatchewan, Saskatoon, Canada.
  • Albert Einstein College of Medicine, New York, NY, USA.
  • Brigham and Women's Hospital, Mass General Brigham, Boston, MA, USA.
  • Indiana University, Indianapolis, IN, USA.
  • Beth Israel Deaconess Medical Center, Cambridge, MA, USA.
  • Henry Ford Health System, Detroit, MI, USA.
  • Case Western Reserve University, Cleveland, OH, USA.

技术路线

14,324份TOPMed RNA测序样本 → 六种组织/细胞类型的cis-eQTL与sQTL分析,检测次级cis-e/sQTL并精细定位

最近 5 个完整年度引用趋势

0241202102022020230202442025

不含 2026 年,仅展示最近 5 个完整年度。

数据来源:openalex更新时间:2026/11/01 04:03
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