ReviewInternational journal of molecular sciences2017
Big Data Analytics for Genomic Medicine.
Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Design Choices and Trade-Offs in Health Care Blockchain Implementations: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Systematic review of the use of big data to improve surgery in low- and middle-income countries.The British journal of surgery · 2019Pooled it
- Big Data for Drug Discovery: Some Historical Landscape, Considerations, and Applications for a Medicinal Chemist.ACS omega · 2026Review
- Comprehensive Screening for Early Cancer Detection in Individuals With Genetic Predisposition.JCO precision oncology · 2025Article
- Big data for neuroscience in the context of predictive, preventive, and personalized medicine.The EPMA journal · 2025Review
- Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives.Biomedicines · 2024Review
- Application of Data Mining Technology in the Screening for Gallbladder Stones: A Cross-Sectional Retrospective Study of Chinese Adults.Yonsei medical journal · 2024Article
- New Challenges for Anatomists in the Era of Omics.Diagnostics (Basel, Switzerland) · 2023Review
- New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023Article
- Environmental pathways affecting gene expression (E.PAGE) as an R package to predict gene-environment associations.Scientific reports · 2022Article
- Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey.Healthcare (Basel, Switzerland) · 2022Review
- Using ncRNAs as Tools in Cancer Diagnosis and Treatment-The Way towards Personalized Medicine to Improve Patients' Health.International journal of molecular sciences · 2022Review
- A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research.International journal of molecular sciences · 2022Review
- NIH Primary and Secondary Prevention Research in Humans: a Portfolio Analysis of Study Designs Used in 2012-2019.Prevention science : the official journal of the Society for Prevention Research · 2022Observational
- AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK.BMJ open · 2022Article
- InterTADs: integration of multi-omics data on topologically associated domains, application to chronic lymphocytic leukemia.NAR genomics and bioinformatics · 2022Article
- Integration of artificial intelligence and precision oncology in Latin America.Frontiers in medical technology · 2022Review
- Novel Insights into the Prognosis and Immunological Value of the SLC35A (Solute Carrier 35A) Family Genes in Human Breast Cancer.Biomedicines · 2021Article
- Scalable analysis of multi-modal biomedical data.GigaScience · 2021Article
- Enabling Precision Medicine in Cancer Care Through a Molecular Data Warehouse: The Moffitt Experience.JCO clinical cancer informatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic decision-making by utilizing patients' genomic information. Big Data analytics uncovers hidden patterns, unknown correlations, and other insights through examining large-scale various data sets. While integration and manipulation of diverse genomic data and comprehensive electronic health records (EHRs) on a Big Data infrastructure exhibit challenges, they also provide a feasible opportunity to develop an efficient and effective approach to identify clinically actionable genetic variants for individualized diagnosis and therapy. In this paper, we review the challenges of manipulating large-scale next-generation sequencing (NGS) data and diverse clinical data derived from the EHRs for genomic medicine. We introduce possible solutions for different challenges in manipulating, managing, and analyzing genomic and clinical data to implement genomic medicine. Additionally, we also present a practical Big Data toolset for identifying clinically actionable genetic variants using high-throughput NGS data and EHRs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.