Genomic Scores
Genomic scores play a central role in precision health providing information about genetic risk that can improve decision making in health care systems.
We apply a powerful computational framework for genomic scoring of complex traits. A key feature of this modeling approach is a higher prediction accuracy achieved by better accounting for linkage disequilibrium among markers and the genetic architecture of the traits and using information across the traits analyzed.
We have provided examples of how to use this computational framework for genomic scoring in R Tutorials. Further details about the statistical models and methods used for computing genomic scores can be found in QG Notes, Polygenic Scores – Wikipedia, and in the presentation below:
GSCT database
Below we provide a database for Genomic Scoring of Complex Traits (GSCT). Using our computational framework we have computed and assessed the genomic scores for a range of complex traits and diseases in humans. The prediction accuracy of the genomic scores (R2 or AUC) are provided in the table below. The genomic scores have been further biologically validated by identifying genomic features (such as genes, pathways, protein and chemical complexes) underpinning the scores (see further details here: GACT).
GSCT ID | Trait | Gender | Study | Population | Type | Model | Accuracy |
---|---|---|---|---|---|---|---|
GSCT00001 | BMI | Males | UK Biobank | EUS | Quantitative | ST-PT | 0.0718 |
GSCT00002 | BMI | Females | UK Biobank | EUS | Quantitative | ST-PT | 0.075 |
GSCT00003 | Height | Males | UK Biobank | EUS | Quantitative | ST-PT | 0.2154 |
GSCT00004 | Height | Females | UK Biobank | EUS | Quantitative | ST-PT | 0.224 |
GSCT00005 | BMI | Males | UK Biobank | EUS | Quantitative | MT-PT | 0.0894 |
GSCT00006 | BMI | Females | UK Biobank | EUS | Quantitative | MT-PT | 0.091 |
GSCT00007 | Height | Males | UK Biobank | EUS | Quantitative | MT-PT | 0.2534 |
GSCT00008 | Height | Females | UK Biobank | EUS | Quantitative | MT-PT | 0.2568 |
GSCT00009 | BMI | Males | UK Biobank | EUS | Quantitative | ST-BLR | 0.0902 |
GSCT00010 | BMI | Females | UK Biobank | EUS | Quantitative | ST-BLR | 0.0894 |
GSCT00011 | Height | Males | UK Biobank | EUS | Quantitative | ST-BLR | 0.304 |
GSCT00012 | Height | Females | UK Biobank | EUS | Quantitative | ST-BLR | 0.3158 |
GSCT00013 | BMI | Males | UK Biobank | EUS | Quantitative | MT-BLR | 0.1208 |
GSCT00014 | BMI | Females | UK Biobank | EUS | Quantitative | MT-BLR | 0.1148 |
GSCT00015 | Height | Males | UK Biobank | EUS | Quantitative | MT-BLR | 0.3578 |
GSCT00016 | Height | Females | UK Biobank | EUS | Quantitative | MT-BLR | 0.3564 |