| scholarly article | Q13442814 |
| P50 | author | Andres Metspalu | Q982823 |
| Tõnu Esko | Q29839292 | ||
| Kristi Läll | Q60580559 | ||
| P2093 | author name string | Krista Fischer | |
| Peeter Padrik | |||
| Neeme Tõnisson | |||
| Reedik Mägi | |||
| Maarja Lepamets | |||
| Marili Palover | |||
| P2860 | cites work | UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age | Q28650740 |
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| The Heritability of Breast Cancer among Women in the Nordic Twin Study of Cancer | Q41135222 | ||
| Polygenic risk scores for schizophrenia and bipolar disorder predict creativity | Q41686772 | ||
| Personalized risk prediction for type 2 diabetes: the potential of genetic risk scores | Q41706055 | ||
| Association analysis identifies 65 new breast cancer risk loci. | Q45979098 | ||
| Effectiveness of and overdiagnosis from mammography screening in the Netherlands: population based study. | Q47151886 | ||
| Multi-polygenic score approach to trait prediction | Q47750917 | ||
| Transformation of Summary Statistics from Linear Mixed Model Association on All-or-None Traits to Odds Ratio. | Q50074612 | ||
| P433 | issue | 1 | |
| P304 | page(s) | 557 | |
| P577 | publication date | 2019-06-10 | |
| P1433 | published in | BMC Cancer | Q326300 |
| P1476 | title | Polygenic prediction of breast cancer: comparison of genetic predictors and implications for risk stratification | |
| P478 | volume | 19 |
| Q89746441 | Clinical applications of polygenic breast cancer risk: a critical review and perspectives of an emerging field |
| Q102369515 | Genotype-first approach to the detection of hereditary breast and ovarian cancer risk, and effects of risk disclosure to biobank participants |
| Q96577047 | Personalized early detection and prevention of breast cancer: ENVISION consensus statement |
| Q97524107 | Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants |
| Q96347990 | Validating the doubly weighted genetic risk score for the prediction of type 2 diabetes in the Lifelines and Estonian Biobank cohorts |
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