Improved prediction of complex diseases by common genetic markers: state of the art and further perspectives.

ABSTRACT: Reliable risk assessment of frequent, but treatable diseases and disorders has considerable clinical and socio-economic relevance. However, as these conditions usually originate from a complex interplay between genetic and environmental factors, precise prediction remains a considerable challenge. The current progress in genotyping technology has resulted in a substantial increase of knowledge regarding the genetic basis of such diseases and disorders. Consequently, common genetic risk variants are increasingly being included in epidemiological models to improve risk prediction. This work reviews recent high-quality publications targeting the prediction of common complex diseases. To be included in this review, articles had to report both, numerical measures of prediction performance based

SUBMITTER: Muller B 

PROVIDER: S-EPMC4759222 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature