With decades of electronic health records linked to genetic data, large biobanks provide
unprecedented opportunities for systematically understanding the genetics of the natural …

With decades of electronic health records linked to genetic data, large biobanks provide
unprecedented opportunities for systematically understanding the genetics of the natural …

While recent advancements in computation and modelling have improved the analysis of
complex traits, our understanding of the genetic basis of the time at symptom onset remains …

To address the limited software options for performing survival analyses with millions of
SNPs, we developed gwasurvivr, an R/Bioconductor package with a simple interface for …

Genome-wide association studies (GWASs) have revolutionized human genetics, allowing
researchers to identify thousands of disease-related genes and possible drug targets …

Motivation One of the major goals in large-scale genomic studies is to identify genes with a
prognostic impact on time-to-event outcomes which provide insight into the disease process …

Many diseases recur after recovery, for example, recurrences in cancer and infections.
However, research is often focused on analysing only time‐to‐first recurrence, thereby …

Predicting the survival time of a cancer patient based on his/her genome-wide gene
expression remains a challenging problem. For certain types of cancer, the effects of gene …

BACKGROUND: The analysis of survival data allows to evaluate whether in a population the
genetic exposure is related to the time until an event occurs. Owing to the complexity of …

Background: Survival analysis is a primary problem before clinical treatments to cancer
patients after their operations. In order to make this kind of analysis simple, many …