Leveraging electronic health records for a phenome-wide examination of the comorbidity burden associated with multiple sclerosis disease outcome

被引：0
|
作者：
Goodman, M. [1 ]
Healy, B. [2 ]
Cai, T. [3 ]
Weiner, H. L. [2 ]
Chitnis, T. [2 ]
De Jager, P. L. [4 ,5 ]
Xia, Z. [4 ,5 ]
机构：
[1] Harvard Univ, Dept Stat, Cambridge, MA 02138 USA
[2] Brigham & Womens Hosp, Dept Neurol, Boston, MA 02115 USA
[3] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[4] Brigham & Womens Hosp, Program Translat NeuroPsychiat Genom, Dept Neurol, Boston, MA 02115 USA
[5] Harvard Univ, Sch Med, Boston, MA USA
来源：
MULTIPLE SCLEROSIS JOURNAL | 2014年 / 20卷
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
P217
引用
收藏
页码：164 / 164
页数：1
相关论文
共 41 条
  • [21] A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine
    Salvatore, Maxwell
    Gu, Tian
    Mack, Jasmine A.
    Sankar, Swaraaj Prabhu
    Patil, Snehal
    Valley, Thomas S.
    Singh, Karandeep
    Nallamothu, Brahmajee K.
    Kheterpal, Sachin
    Lisabeth, Lynda
    Fritsche, Lars G.
    Mukherjeea, Bhramar
    [J]. JOURNAL OF CLINICAL MEDICINE, 2021, 10 (07)
  • [22] Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm
    Joo, Yoonjung Yoonie
    Pacheco, Jennifer A.
    Thompson, William K.
    Rasmussen-Torvik, Laura J.
    Rasmussen, Luke V.
    Lin, Frederick T. J.
    Andrade, Mariza de
    Borthwick, Kenneth M.
    Bottinger, Erwin
    Cagan, Andrew
    Carrell, David S.
    Denny, Joshua C.
    Ellis, Stephen B.
    Gottesman, Omri
    Linneman, James G.
    Pathak, Jyotishman
    Peissig, Peggy L.
    Shang, Ning
    Tromp, Gerard
    Veerappan, Annapoorani
    Smith, Maureen E.
    Chisholm, Rex L.
    Gawron, Andrew J.
    Hayes, M. Geoffrey
    Kho, Abel N.
    [J]. PLOS ONE, 2023, 18 (05):
  • [23] PheW2P2V: a phenome-wide prediction framework with weighted patient representations using electronic health records
    Guo, Jia
    Kiryluk, Krzysztof
    Wang, Shuang
    [J]. JAMIA OPEN, 2024, 7 (03)
  • [24] Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records
    Xia, Zongqi
    Secor, Elizabeth
    Chibnik, Lori B.
    Bove, Riley M.
    Cheng, Suchun
    Chitnis, Tanuja
    Cagan, Andrew
    Gainer, Vivian S.
    Chen, Pei J.
    Liao, Katherine P.
    Shaw, Stanley Y.
    Ananthakrishnan, Ashwin N.
    Szolovits, Peter
    Weiner, Howard L.
    Karlson, Elizabeth W.
    Murphy, Shawn N.
    Savova, Guergana K.
    Cai, Tianxi
    Churchill, Susanne E.
    Plenge, Robert M.
    Kohane, Isaac S.
    De Jager, Philip L.
    [J]. PLOS ONE, 2013, 8 (11):
  • [25] Modelling disease severity in multiple sclerosis using electronic health records
    Xia, Z.
    Chibnik, L.
    Bove, R.
    Chitnis, T.
    Weiner, H.
    De Jager, P.
    [J]. MULTIPLE SCLEROSIS JOURNAL, 2013, 19 (11) : 498 - 498
  • [26] Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study
    Xu, Jiayi
    Johnson, Jessica S.
    Signer, Rebecca
    Birgegard, Andreas
    Jordan, Jennifer
    Kennedy, Martin A.
    Landen, Mikael
    Maguire, Sarah L.
    Martin, Nicholas G.
    Mortensen, Preben Bo
    Petersen, Liselotte, V
    Thornton, Laura M.
    Bulik, Cynthia M.
    Huckins, Laura M.
    [J]. LANCET DIGITAL HEALTH, 2022, 4 (08): : E604 - E614
  • [27] Variants Near FOXE1 Are Associated with Hypothyroidism and Other Thyroid Conditions: Using Electronic Medical Records for Genome- and Phenome-wide Studies
    Denny, Joshua C.
    Crawford, Dana C.
    Ritchie, Marylyn D.
    Bielinski, Suzette J.
    Basford, Melissa A.
    Bradford, Yuki
    Chai, High Seng
    Bastarache, Lisa
    Zuvich, Rebecca
    Peissig, Peggy
    Carrell, David
    Ramirez, Andrea H.
    Pathak, Jyotishman
    Wilke, Russell A.
    Rasmussen, Luke
    Wang, Xiaoming
    Pacheco, Jennifer A.
    Kho, Abel N.
    Hayes, M. Geoffrey
    Weston, Noah
    Matsumoto, Martha
    Kopp, Peter A.
    Newton, Katherine M.
    Jarvik, Gail P.
    Li, Rongling
    Manolio, Teri A.
    Kullo, Iftikhar J.
    Chute, Christopher G.
    Chisholm, Rex L.
    Larson, Eric B.
    McCarty, Catherine A.
    Masys, Daniel R.
    Roden, Dan M.
    de Andrade, Mariza
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2011, 89 (04) : 529 - 542
  • [28] Temporal trends of multiple sclerosis disease activity: Electronic health records indicators
    Liang, Liang
    Kim, Nicole
    Hou, Jue
    Cai, Tianrun
    Dahal, Kumar
    Lin, Chen
    Finan, Sean
    Savovoa, Guergana
    Rosso, Mattia
    Polgar-Tucsanyi, Mariann
    Weiner, Howard
    Chitnis, Tanuja
    Cai, Tianxi
    Xia, Zongqi
    [J]. MULTIPLE SCLEROSIS AND RELATED DISORDERS, 2022, 57
  • [29] Phenome-wide association study of genetically predicted B vitamins and homocysteine biomarkers with multiple health and disease outcomes: analysis of the UK Biobank
    Wang, Lijuan
    Li, Xue
    Montazeri, Azita
    MacFarlane, Amanda J.
    Momoli, Franco
    Duthie, Susan
    Senekal, Marjanne
    Eguiagaray, Ines Mesa
    Munger, Ron
    Bennett, Derrick
    Campbell, Harry
    Rubini, Michele
    McNulty, Helene
    Little, Julian
    Theodoratou, Evropi
    [J]. AMERICAN JOURNAL OF CLINICAL NUTRITION, 2023, 117 (03): : 564 - 575
  • [30] An exploratory phenome wide association study linking asthma and liver disease genetic variants to electronic health records from the Estonian Biobank
    James, Glen
    Reisberg, Sulev
    Lepik, Kaido
    Galwey, Nicholas
    Avillach, Paul
    Kolberg, Liis
    Magi, Reedik
    Esko, Tonu
    Alexander, Myriam
    Waterworth, Dawn
    Loomis, A. Katrina
    Vilo, Jaak
    [J]. PLOS ONE, 2019, 14 (04):
12345