How Do You Sleep
Several studies based on different omics data in genetically homogeneous Swedish population that raises importance of disease subgrouping and interference of environmental factors on prediction values in anti TNF response.
Abstract
tion of inflammatory cytokine and, possibly, this is why the prediction of response remains elusive. High costs of the treatment and irreversible tissue damage in non-responders have forced multiple attempts to predict response to anti TNF treatment using clinical, laboratory and molecular markers. There are several issues related to this type of studies that may include genetically heterogeneous groups of patients, different types of anti-TNF treatment, multiple types of response measures and are typically underpowered. Nowadays, an enormous amount of genetic, epigenetic and genomic data revived new expectations and stimulates producing of models for prediction of anti TNF response. We performed several studies based on different omics data in genetically homogeneous Swedish population that raises importance of disease subgrouping and interference of environmental factors on prediction values. Disclosure of Interest: None declared DOI: 10.1136/annrheumdis-2018-eular.7745