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Tab-Delimited
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Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Plain Text
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Tab-Delimited
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Comma Separated Values
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Comma Separated Values
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Comma Separated Values
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 11, 2026 - Riga Stradiņš University
Irmejs, Arvīds; Loža, Pēteris; Maksimenko, Jeļena; Daneberga, Zanda; Liepiņa, Elza Elizabete; Čerņeikina, Anneta, 2026, "Development of Genetic Testing Strategies for Hereditary Breast and Ovarian Cancer Risk Prediction by Analysis of Spectrum of Predisposing Mutations and Their Phenotypic Manifestations: Clinical Data", https://doi.org/10.48510/FK2/AJIIVR, UNF:6:lYl2b0nqg1ects0ji1GdSg== [fileUNF]
The clinical data of retrospective cohort were collected to calculate Manchester score and CanRisk tool value for all breast and ovarian cancer cases. The NGS targeted panel including 9 genes was performed for samples with previously negative genetic testing results and available biological material. Pathogenicity of genetic variants were classifie...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 11, 2026 - Riga Stradiņš University
Irmejs, Arvīds; Loža, Pēteris; Maksimenko, Jeļena; Daneberga, Zanda; Liepiņa, Elza Elizabete; Čerņeikina, Anneta, 2026, "Development of Genetic Testing Strategies for Hereditary Breast and Ovarian Cancer Risk Prediction by Analysis of Spectrum of Predisposing Mutations and Their Phenotypic Manifestations: Genetic Data", https://doi.org/10.48510/FK2/B4V921, UNF:6:gYwYsyBKvsICe/EutRp+rA== [fileUNF]
The NGS targeted panel including 9 genes was performed for samples with previously negative genetic testing results and available biological material. Pathogenicity of genetic variants were classified using a standardized framework developed by the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
