ArticleFrontiers in cell and developmental biology2015
How to build personalized multi-omics comorbidity profiles.
Article in Frontiers in cell and developmental biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
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- Bioinformatics Strategies to Identify Shared Molecular Biomarkers That Link Ischemic Stroke and Moyamoya Disease with Glioblastoma.Pharmaceutics · 2022Article
- Exploring disease interrelationships in patients with lymphatic disorders: A single center retrospective experience.Clinical and translational medicine · 2022Article
- Integrated Pharmacology Reveals the Molecular Mechanism of Gegen Qinlian Decoction Against Lipopolysaccharide-induced Acute Lung Injury.Frontiers in pharmacology · 2022Article
- Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders.Briefings in bioinformatics · 2021Article
- Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.Computers in biology and medicine · 2021Article
- Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection.Computers in biology and medicine · 2021Article
- Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities.Briefings in bioinformatics · 2021Article
- COVID-19 patient transcriptomic and genomic profiling reveals comorbidity interactions with psychiatric disorders.Translational psychiatry · 2021Article
- System biology and bioinformatics pipeline to identify comorbidities risk association: Neurodegenerative disorder case study.PloS one · 2021Article
- Network Biology Approaches to Achieve Precision Medicine in Inflammatory Bowel Disease.Frontiers in genetics · 2021Review
- Network-based computational approach to identify genetic links between cardiomyopathy and its risk factors.IET systems biology · 2020Article
- Network-Based Genetic Profiling Reveals Cellular Pathway Differences Between Follicular Thyroid Carcinoma and Follicular Thyroid Adenoma.International journal of environmental research and public health · 2020Article
- A Network-Based Bioinformatics Approach to Identify Molecular Biomarkers for Type 2 Diabetes that Are Linked to the Progression of Neurological Diseases.International journal of environmental research and public health · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple diseases (acute or chronic events) occur together in a patient, which refers to the disease comorbidities, because of the multi ways associations among diseases. Due to shared genetic, molecular, environmental, and lifestyle-based risk factors, many diseases are comorbid in the same patient. Methods for integrating multiple types of omics data play an important role to identify integrative biomarkers for stratification of patients into groups with different clinical outcomes. Moreover, integrated omics and clinical information may potentially improve prediction accuracy of disease comorbidities. However, there is a lack of effective and efficient bioinformatics and statistical software for true integrative data analysis. With the availability of the wide spread huge omics, phenotype and ontology information, it is becoming more and more practical to help doctors in clinical diagnostics and comorbidity prediction by providing appropriate software tool. We developed an R software POGO to compute novel estimators of the disease comorbidity risks and patient stratification. Starting from an initial diagnosis, omics and clinical data of a patient the software identifies the association risk of disease comorbidities. The input of this software is the initial diagnosis of a patient and the output provides evidence of disease comorbidities. The functions of POGO offer flexibility for diagnostic applications to predict disease comorbidities, and can be easily integrated to high-throughput and clinical data analysis pipelines. POGO is compliant with the Bioconductor standard and it is freely available at www.cl.cam.ac.uk/~mam211/POGO/.
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