Browsing by Author "Jamal, Zoeb N."

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    Supplemental Table S4 from Evaluation of Multiple Breast Cancer Polygenic Risk Score Panels in Women of Latin American Heritage
    (American Association for Cancer Research (AACR), 2025-02-06) Huang, Xiaosong; Lott, Paul C.; Hu, Donglei; Zavala, Valentina A.; Jamal, Zoeb N.; Vidaurre, Tatiana; Casavilca Zambrano, Sandro Angel Aníbal; Navarro Vásquez, Jeannie; Castañeda, Carlos A.; Valencia, Guillermo; Morante, Zaida; Calderón, Mónica; Abugattas, Julio E.; Fuentes, Hugo A.; Liendo-Picoaga, Ruddy; Cotrina, Jose M.; Neciosup, Silvia P.; Rioja Viera, Patricia; Salinas, Luis A.; Galvez-Nino, Marco; Huntsman, Scott; Sanchez, Sixto E.; Williams, Michelle A.; Gelaye, Bizu; Estrada-Florez, Ana P.; Polanco-Echeverry, Guadalupe; Echeverry, Magdalena; Velez, Alejandro; Carmona-Valencia, Jenny A.; Bohorquez-Lozano, Mabel E.; Torres, Javier; Cruz, Miguel; Ho, Weang-Kee; Hwang Teo, Soo; Chee Tai, Mei; John, Esther M.; Haiman, Christopher A.; Conti, David V.; Chen, Fei; Torres-Mejía, Gabriela; Kushi, Lawrence H.; Neuhausen, Susan L.; Ziv, Elad; Carvajal-Carmona, Luis G.; Fejerman, Laura
    A substantial portion of the genetic predisposition for breast cancer is explained by multiple common genetic variants of relatively small effect. A subset of these variants, which have been identified mostly in individuals of European (EUR) and Asian ancestries, have been combined to construct a polygenic risk score (PRS) to predict breast cancer risk, but the prediction accuracy of existing PRSs in Hispanic/Latinx individuals (H/L) remain relatively low. We assessed the performance of several existing PRS panels with and without addition of H/L-specific variants among self-reported H/L women. PRS performance was evaluated using multivariable logistic regression and the area under the ROC curve. Both EUR and Asian PRSs performed worse in H/L samples compared with original reports. The best EUR PRS performed better than the best Asian PRS in pooled H/L samples. EUR PRSs had decreased performance with increasing Indigenous American (IA) ancestry, while Asian PRSs had increased performance with increasing IA ancestry. The addition of two H/L SNPs increased performance for all PRSs, most notably in the samples with high IA ancestry, and did not impact the performance of PRSs in individuals with lower IA ancestry. A single PRS that incorporates risk variants relevant to the multiple ancestral components of individuals from Latin America, instead of a set of ancestry-specific panels, could be used in clinical practice. The results highlight the importance of population-specific discovery and suggest a straightforward approach to integrate ancestry-specific variants into PRSs for clinical application.