Cargando…

High-throughput framework for genetic analyses of adverse drug reactions using electronic health records

Understanding the contribution of genetic variation to drug response can improve the delivery of precision medicine. However, genome-wide association studies (GWAS) for drug response are uncommon and are often hindered by small sample sizes. We present a high-throughput framework to efficiently iden...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zheng, Neil S., Stone, Cosby A., Jiang, Lan, Shaffer, Christian M., Kerchberger, V. Eric, Chung, Cecilia P., Feng, QiPing, Cox, Nancy J., Stein, C. Michael, Roden, Dan M., Denny, Joshua C., Phillips, Elizabeth J., Wei, Wei-Qi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195357/ https://www.ncbi.nlm.nih.gov/pubmed/34061827 http://dx.doi.org/10.1371/journal.pgen.1009593

Ejemplares similares

PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records
por: Zheng, Neil S, et al.
Publicado: (2020)

Genome-wide association analyses of common infections in a large practice-based biobank
por: Jiang, Lan, et al.
Publicado: (2022)

Integrating gene expression and clinical data to identify drug repurposing candidates for hyperlipidemia and hypertension
por: Wu, Patrick, et al.
Publicado: (2022)

The relationship between high density lipoprotein cholesterol and sepsis: A clinical and genetic approach
por: Liu, Ge, et al.
Publicado: (2023)

Creation and Validation of an EMR-based Algorithm for Identifying Major Adverse Cardiac Events while on Statins
por: Wei, Wei-Qi, et al.
Publicado: (2014)

Relationship between very low low-density lipoprotein cholesterol concentrations not due to statin therapy and risk of type 2 diabetes: A US-based cross-sectional observational study using electronic health records
por: Feng, QiPing, et al.
Publicado: (2018)

ConceptWAS: a high-throughput method for early identification of COVID-19 presenting symptoms
por: Zhao, Juan, et al.
Publicado: (2020)

ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes
por: Zhao, Juan, et al.
Publicado: (2021)

Association Between Genetically Predicted Expression of TPMT and Azathioprine Adverse Events
por: Davis, Alyssa, et al.
Publicado: (2023)

Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction
por: Zhao, Juan, et al.
Publicado: (2019)

A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19
por: Zheng, Neil S., et al.
Publicado: (2021)

Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record
por: Wei, Wei-Qi, et al.
Publicado: (2017)

Extracting research-quality phenotypes from electronic health records to support precision medicine
por: Wei, Wei-Qi, et al.
Publicado: (2015)

Using topic modeling via non-negative matrix factorization to identify relationships between genetic variants and disease phenotypes: A case study of Lipoprotein(a) (LPA)
por: Zhao, Juan, et al.
Publicado: (2019)

Rethomics: An R framework to analyse high-throughput behavioural data
por: Geissmann, Quentin, et al.
Publicado: (2019)

Clinical diagnoses associated with a positive antinuclear antibody test in patients with and without autoimmune disease
por: Zanussi, Jacy T., et al.
Publicado: (2023)

Leveraging Generative AI to Prioritize Drug Repurposing Candidates: Validating Identified Candidates for Alzheimer’s Disease in Real-World Clinical Datasets
por: Wei, Wei-Qi, et al.
Publicado: (2023)

Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort
por: Kerchberger, Vern Eric, et al.
Publicado: (2022)

Replication and fine-mapping of genetic predictors of lipid traits in African-Americans
por: Feng, QiPing, et al.
Publicado: (2017)

A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkers
por: Mosley, Jonathan D., et al.
Publicado: (2018)

Association between APOL1 risk variants and the occurrence of sepsis in Black patients hospitalized with infections: a retrospective cohort study
por: Jiang, Lan, et al.
Publicado: (2023)

Genome‐wide and Phenome‐wide Approaches to Understand Variable Drug Actions in Electronic Health Records
por: Robinson, Jamie R., et al.
Publicado: (2017)

A unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts
por: Veturi, Yogasudha, et al.
Publicado: (2021)

A comparative study of different methods for automatic identification of clopidogrel-induced bleedings in electronic health records
por: Lee, Hee-Jin, et al.
Publicado: (2017)

Association Between Low-Density Lipoprotein Cholesterol Levels and Risk for Sepsis Among Patients Admitted to the Hospital With Infection
por: Feng, QiPing, et al.
Publicado: (2019)

265 Connecting Electronic Medical Record Sub-phenotypes of Obstructive Sleep Apnea to Adverse Outcome Risks
por: Borza, Victor, et al.
Publicado: (2023)

The Ambulatory and Home Care Record: A Methodological Framework for Economic Analyses in End-of-Life Care
por: Guerriere, Denise N., et al.
Publicado: (2011)

Combining Clinical and Candidate Gene Data into a Risk Score for Azathioprine-Associated Leukopenia in Routine Clinical Practice
por: Anandi, Prathima, et al.
Publicado: (2020)

An integrative functional genomics framework for effective identification of novel regulatory variants in genome–phenome studies
por: Zhao, Junfei, et al.
Publicado: (2018)

An updated, computable MEDication-Indication resource for biomedical research
por: Zheng, Neil S., et al.
Publicado: (2021)

A Genetic Approach to the Association Between PCSK9 and Sepsis
por: Feng, QiPing, et al.
Publicado: (2019)

ProkEvo: an automated, reproducible, and scalable framework for high-throughput bacterial population genomics analyses
por: Pavlovikj, Natasha, et al.
Publicado: (2021)

Remote and automated high-throughput powder diffraction measurements enabled by a robotic sample changer at SSRL beamline 2-1
por: Stone, Kevin H., et al.
Publicado: (2023)

Chapter 13: Mining Electronic Health Records in the Genomics Era
por: Denny, Joshua C.
Publicado: (2012)

Identifying genetically driven clinical phenotypes using linear mixed models
por: Mosley, Jonathan D., et al.
Publicado: (2016)

Novel markers for high-throughput protoplast-based analyses of phytohormone signaling
por: Lehmann, Silke, et al.
Publicado: (2020)

Analyses of alternative polyadenylation: from old school biochemistry to high-throughput technologies
por: Yeh, Hsin-Sung, et al.
Publicado: (2017)

The first complete mitochondrial genome sequence of Nanorana parkeri and Nanorana ventripunctata (Amphibia: Anura: Dicroglossidae), with related phylogenetic analyses
por: Jiang, Lichun, et al.
Publicado: (2018)

A Bayesian Framework to Identify Methylcytosines from High-Throughput Bisulfite Sequencing Data
por: Xie, Qing, et al.
Publicado: (2014)

Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality
por: Xu, Hua, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_feebdi2barbsi67nmtt8fu67nk