Author

Claudia Jaramillo

Kinnaird College for Women University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andrés Ruiz‐LinaresiD· 2 shared Caio César Silva de Cerqueira· 2 shared Carla GalloiD· 2 shared David J. BaldingiD· 2 shared Francisco RothhammeriD· 2 shared Gabriel BedoyaiD· 2 shared Hugo Villamil‐RamíreziD· 2 shared Javier Mendoza‐RevillaiD· 2 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Andrés Ruiz‐LinaresORCID

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2 papers

Recent·Most cited

Disentangling signatures of selection before and after European colonization in Latin Americans

Javier Mendoza‐Revilla, Juan Camilo Chacón-Duque, Macarena Fuentes‐Guajardo, Louise Ormond, Ke Wang, Malena Hurtado, Valeria Villegas, Vanessa Granja, Víctor Acuña-Alonzo, Claudia Jaramillo, William H. Arias, Rodrigo Barquera, Jorge Gómez‐Valdés, Hugo Villamil‐Ramírez, Caio César Silva de Cerqueira, , Garrett Hellenthal

This study identifies loci under selection in Latin American admixed populations, distinguishing between pre- and post-admixture selection, and finds signals related to immunity and energy metabolism.

Molecular Biology and Evolution · Apr 1, 2022Peer-reviewedGenomics

Prediction Of Eye, Hair And Skin Color In Admixed Populations Of Latin America

Sagnik Palmal, Kaustubh Adhikari, Javier Mendoza‐Revilla, Macarena Fuentes‐Guajardo, Caio César Silva de Cerqueira, Juan Camilo Chacón-Duque, Anood Sohail, Malena Hurtado, Valeria Villegas, Vanessa Granja, Claudia Jaramillo, William H. Arias, Rodrigo Barquera, Paola Everardo, Jorge Gómez‐Valdés, , Andrés Ruiz‐Linares

The paper evaluates prediction accuracy for eye, hair, and skin pigmentation in admixed Latin Americans using genomic and phenotypic data, finding that Random Forest and regression perform best, and that pigmentation SNPs improve accuracy, especially for skin color.

bioRxiv · Dec 9, 2020 · PreprintGenetics