ArticleJournal of personalized medicine2013
Rapid collection of biospecimens by automated identification of patients eligible for pharmacoepigenetic studies.
Article in Journal of personalized medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 3 citations in OpenAlex.
- The Influences of Genetic and Environmental Factors on Methylome-wide Association Studies for Human Diseases.Current genetic medicine reports · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenetics plays an important role in regulating gene expression, and can be modified by environmental factors and physiological conditions. Studying epigenetics is a promising approach to potentially improving the diagnosis, prevention and treatment of human diseases, and to providing personalized medical care. However, the role of epigenetics in the development of diseases is not clear because epigenetic markers may be both mediators and outcomes of human diseases. It is particularly complicated to study pharmacoepigenetics, as medication use may modify the epigenetic profile. To address the challenges facing pharmacoepigenetic research of human diseases, we developed a novel design to rapidly identify, contact, and recruit participants and collect specimens for longitudinal studies of pharmacoepigenetics. Using data in real-time from electronic medical record systems, we can identify patients recently start on new medications and who also have a blood test. Prior to disposal of the leftover blood by the clinical laboratory, we are able to contact and recruit these patients, enabling us to use both their leftover baseline blood sample as well as leftover specimens at future tests. With treatment-naïve and follow-up specimens, this system is able to study both epigenetic markers associated with disease without treatment effect as well as treatment-related epigenetic changes.
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.