Article
Author: Fejerman, Laura ; Conti, David V. ; Abugattas, Julio E. ; Chen, Fei ; Hu, Donglei ; Salinas, Luis A. ; Torres-Mejía, Gabriela ; Ziv, Elad ; Torres, Javier ; Lott, Paul C. ; John, Esther M. ; Cruz, Miguel ; Huang, Xiaosong ; Ho, Weang-Kee ; Calderón, Mónica ; Rioja Viera, Patricia ; Casavilca-Zambrano, Sandro ; Kushi, Lawrence H. ; Tai, Mei Chee ; Cotrina, Jose M. ; Neuhausen, Susan L. ; Navarro Vásquez, Jeannie ; Galvez-Nino, Marco ; Valencia, Guillermo ; Carmona-Valencia, Jenny A. ; Morante, Zaida ; Neciosup, Silvia P. ; Huntsman, Scott ; Castañeda, Carlos A. ; Teo, Soo Hwang ; Estrada-Florez, Ana P. ; Carvajal-Carmona, Luis G. ; Vidaurre, Tatiana ; Echeverry, Magdalena ; Williams, Michelle A. ; Fuentes, Hugo A. ; Haiman, Christopher A. ; Sanchez, Sixto E. ; Zavala, Valentina A. ; Gelaye, Bizu ; Velez, Alejandro ; Bohorquez-Lozano, Mabel E. ; Liendo-Picoaga, Ruddy ; Polanco-Echeverry, Guadalupe ; Jamal, Zoeb N.
Background::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.
Methods::PRS performance was evaluated using multivariable logistic regression and the area under the ROC curve.
Results::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.
Conclusions::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.
Impact::The results highlight the importance of population-specific discovery and suggest a straightforward approach to integrate ancestry-specific variants into PRSs for clinical application.