Table 3. Discriminatory performance of models including genomic risk factors only with those including family history and/or phenotypic risk factors only or genetic and family history and/or phenotypic risk factors combined.
| Author, year | Genetic risk factors only (AUROC (95% CI)) | Family history alone (AUROC (95% CI)) | Phenotypic risk factors only (AUROC (95% CI)) | Genetic risk factors and family history (AUROC (95% CI)) | Phenotypic risk factors and family history (AUROC (95% CI)) | Genetic and phenotypic risk factors combined (AUROC (95% CI)) | Genetic risk factors, family history and phenotypic risk factors combined (AUROC (95% CI)) |
|---|---|---|---|---|---|---|---|
| Dunlop 2013 | 0.57 | 0.59 | |||||
| Hosono 2016 | 0.60 | 0.70 | 0.72 | ||||
| Hsu 2015 | Women 0.55 Men 0.60 | Women 0.52 Men 0.51 | Women 0.56 Men 0.59 | ||||
| Ibanez-Sanz 2017 | 0.56 (0.54-0.58) | 0.60 (0.57-0.61) | 0.61 (0.59-0.64) | 0.63 (0.60-0.66) | |||
| Iwasaki 2017 | 0.63a | 0.60a | 0.66a | ||||
| Jeon 2018a (female) | 0.54 (0.52-0.55) | 0.59 (0.58-0.60) | 0.60 (0.59-0.61) | 0.62 (0.61-0.63) | |||
| Jeon 2018b (male) | 0.53 (0.52-0.54) | 0.59 (0.58-0.60) | 0.60 (0.59-0.61) | 0.63 (0.62-0.64) | |||
| Jo 2012 | Women: 0.60 (0.57-0.64) Men: 0.69 (0.65-0.73) |
Women:0.65 (0.62-0.68) Men: 0.73 (0.68-0.77) |
|||||
| Jung 2015 | 0.73 (0.69-0.78) | 0.74 (0.70-0.78) | |||||
| Smith 2018a and b | 0.56 (0.55-0.58) | 0.67 (0.65-0.68) Excluding age: 0.52 (0.51-0.53) |
0.68 (0.66-0.69) | ||||
| Smith 2018a and c | 0.57 (0.55-0.58) | 0.68 (0.67-0.69) Excluding age: 0.58 (0.57-0.60) |
0.69 (0.67-0.70) | ||||
| Li 2015 | 0.57 (0.55-0.59) | 0.59 (0.57-0.61) | |||||
| Weigl 2018 | 0.62 | 0.67 | |||||
| Xin 2018b | 0.52 (0.50-0.54) | 0.61 (0.58-0.63) |
All models include age in addition to genomic and/or phenotypic risk factors