TY - JOUR
T1 - Inference of genetic ancestry from a multi-gene cancer panel in Colombian women with cancer
AU - Zambrano-O, Yina T
AU - Mejía-Garcia, Alejandro
AU - Morales, P Daniela
AU - Tsao, Hsuan Megan
AU - Rey-Vargas, Laura
AU - Montero-Ovalle, Wendy
AU - Huertas-Caro, Carlos A
AU - Sanabria-Salas, M C
AU - Riaño-Moreno, Julián
AU - Rodriguez, Juliana L
AU - Orozco, Carlos A
AU - Lopez-Kleine, Liliana
AU - Jordan, I King
AU - Serrano-G, Silvia J
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12/7
Y1 - 2024/12/7
N2 - INTRODUCTION: Cancer health disparities among racial and ethnic populations significantly burden health systems due to unequal access to early detection, treatment, and healthcare resources. These disparities lead to worse outcomes and increased costs from delayed diagnoses, advanced treatments, and prolonged care. Genetic differences can also influence cancer susceptibility and treatment response, thus analyzing genetic ancestry is essential for uncovering genetic factors that may contribute to these disparities. Utilizing data from clinical multigene cancer panels to infer genetic ancestry offers a valuable approach to understand population structure and the impact of individual ancestries in development of complex diseases.AIM: To evaluate the accuracy of global ancestry inference using genetic markers from the TruSight™ Hereditary Cancer Panel, which was used to investigate hereditary cancer syndromes in a cohort of 116 female cancer patients at the Colombian National Cancer Institute. Additionally, to compare these results with genetic ancestry estimations from traditional genome-wide markers.RESULTS: Our results demonstrate a strong correlation between global genetic ancestry inferred with markers captured from TruSightTM panel (4785 markers) and Whole Genome Sequencing (WGS, 8 million markers in admixed populations. The correlation values were 0.96 (p < 0.0001) for the Native American and European ancestry components, and 0.99 (p < 0.0001) for the African ancestry fraction. Genetic ancestry mean proportions in the Colombian cohort were 45.7%, 46.2%, and 8.11% for the European, the Native American, and the African components, respectively.CONCLUSION: This study demonstrates the accuracy of ancestry inference from clinical panel data offering a promising approach for understanding cancer health disparities in admixed populations.
AB - INTRODUCTION: Cancer health disparities among racial and ethnic populations significantly burden health systems due to unequal access to early detection, treatment, and healthcare resources. These disparities lead to worse outcomes and increased costs from delayed diagnoses, advanced treatments, and prolonged care. Genetic differences can also influence cancer susceptibility and treatment response, thus analyzing genetic ancestry is essential for uncovering genetic factors that may contribute to these disparities. Utilizing data from clinical multigene cancer panels to infer genetic ancestry offers a valuable approach to understand population structure and the impact of individual ancestries in development of complex diseases.AIM: To evaluate the accuracy of global ancestry inference using genetic markers from the TruSight™ Hereditary Cancer Panel, which was used to investigate hereditary cancer syndromes in a cohort of 116 female cancer patients at the Colombian National Cancer Institute. Additionally, to compare these results with genetic ancestry estimations from traditional genome-wide markers.RESULTS: Our results demonstrate a strong correlation between global genetic ancestry inferred with markers captured from TruSightTM panel (4785 markers) and Whole Genome Sequencing (WGS, 8 million markers in admixed populations. The correlation values were 0.96 (p < 0.0001) for the Native American and European ancestry components, and 0.99 (p < 0.0001) for the African ancestry fraction. Genetic ancestry mean proportions in the Colombian cohort were 45.7%, 46.2%, and 8.11% for the European, the Native American, and the African components, respectively.CONCLUSION: This study demonstrates the accuracy of ancestry inference from clinical panel data offering a promising approach for understanding cancer health disparities in admixed populations.
KW - Humans
KW - Female
KW - Colombia/epidemiology
KW - Genetic Predisposition to Disease
KW - Middle Aged
KW - Neoplasms/genetics
KW - Biomarkers, Tumor/genetics
KW - Adult
KW - Genetic Markers
KW - Breast Neoplasms/genetics
KW - Aged
KW - Whole Genome Sequencing
UR - https://www.scopus.com/pages/publications/85211625193
U2 - 10.1007/s10549-024-07557-7
DO - 10.1007/s10549-024-07557-7
M3 - Article
C2 - 39643752
SN - 0167-6806
VL - 210
SP - 251
EP - 259
JO - Breast Cancer Research and Treatment
JF - Breast Cancer Research and Treatment
IS - 2
ER -
