Constructing a database for the relations between CNV and human genetic diseases via systematic text mining.

ABSTRACT:

Background

The detection and interpretation of CNVs are of clinical importance in genetic testing. Several databases and web services are already being used by clinical geneticists to interpret the medical relevance of identified CNVs in patients. However, geneticists or physicians would like to obtain the original literature context for more detailed information, especially for rare CNVs that were not included in databases.

Results

The resulting CNVdigest database includes 440,485 sentences for CNV-disease relationship. A total number of 1582 CNVs and 2425 diseases are involved. Sentences describing CNV-disease correlations are indexed in CNVdigest, with CNV mentions and disease mentions annotated.

Conclusions

In this paper, we use a systematic text mining method to

SUBMITTER: Yang X 

PROVIDER: S-EPMC6311945 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature