scholarly journals Leveraging functional annotations in genetic risk prediction for human complex diseases

2017 ◽  
Vol 13 (6) ◽  
pp. e1005589 ◽  
Author(s):  
Yiming Hu ◽  
Qiongshi Lu ◽  
Ryan Powles ◽  
Xinwei Yao ◽  
Can Yang ◽  
...  
Keyword(s):  
Risk Prediction ◽  
Genetic Risk ◽  
Complex Diseases ◽  
Functional Annotations ◽  
Genetic Risk Prediction ◽  
Human Complex

scholarly journals Leveraging Functional Annotations in Genetic Risk Prediction for Human Complex Diseases

2016 ◽  
Author(s):  
Yiming Hu ◽  
Qiongshi Lu ◽  
Ryan Powles ◽  
Xinwei Yao ◽  
Fang Fang ◽  
...  
Keyword(s):  
Risk Prediction ◽  
Genetic Risk ◽  
Prediction Accuracy ◽  
Prediction Models ◽  
Association Studies ◽  
Treatment Strategies ◽  
Complex Diseases ◽  
Genome Wide Association Studies ◽  
Genetic Risk Prediction ◽  
Human Complex

AbstractGenome wide association studies have identified numerous regions in the genome associated with hundreds of human diseases. Building accurate genetic risk prediction models from these data will have great impacts on disease prevention and treatment strategies. However, prediction accuracy remains moderate for most diseases, which is largely due to the challenges in identifying all the disease-associated variants and accurately estimating their effect sizes. We introduce AnnoPred, a principled framework that incorporates diverse functional annotation data to improve risk prediction accuracy, and demonstrate its performance on multiple human complex diseases.

scholarly journals Strengthening the Reporting of Genetic Risk Prediction Studies: The GRIPS Statement

2011 ◽  
Vol 4 (2) ◽  
pp. 206-209 ◽  
Author(s):  
A. Cecile J.W. Janssens ◽  
John P.A. Ioannidis ◽  
Cornelia M. van Duijn ◽  
Julian Little ◽  
Muin J. Khoury
Keyword(s):  
Risk Prediction ◽  
Genetic Risk ◽  
Genetic Risk Prediction

scholarly journals Moving towards population-based genetic risk prediction for ovarian cancer

2017 ◽  
Vol 124 (6) ◽  
pp. 855-858 ◽  
Author(s):  
B Rahman ◽  
L Side ◽  
S Gibbon ◽  
SF Meisel ◽  
L Fraser ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Risk Prediction ◽  
Genetic Risk ◽  
Population Based ◽  
Genetic Risk Prediction

scholarly journals European Breast Cancer Council manifesto 2018: Genetic risk prediction testing in breast cancer

2019 ◽  
Vol 106 ◽  
pp. 45-53 ◽  
Author(s):  
Emiel Rutgers ◽  
Judith Balmana ◽  
Marc Beishon ◽  
Karen Benn ◽  
D. Gareth Evans ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Prediction ◽  
Genetic Risk ◽  
Genetic Risk Prediction ◽  
Cancer Council

scholarly journals The use of genetic risk prediction to study prodromal Alzheimer’s disease in the PISA study

2020 ◽  
Vol 16 (S2) ◽  
Author(s):  
Michelle K. Lupton ◽  
Amir Fazlollahi ◽  
Amelia Ceslis ◽  
Jurgen Fripp ◽  
Stephen Rose ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Prediction ◽  
Genetic Risk ◽  
Genetic Risk Prediction ◽  
Prodromal Alzheimer’S Disease
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