Author

Christian Caberto

University of Hawaiʻi at Mānoa

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Iona C. ChengiD· 2 shared Unhee LimiD· 2 shared Xin ShengiD· 2 shared Yuqing LiiD· 2 shared Abhishek Vishnu· 1 shared Alex P. ReineriD· 1 shared Alexandra SockelliD· 1 shared Andrés Moreno‐EstradaiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersGenetics

Iona C. ChengORCID

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2 papers

Recent·Most cited

Population specific reference panels are crucial for the genetic analyses of Native Hawai’ians: an example of the CREBRF locus

Meng Hsuan Lin, Christian Caberto, Peggy C. Wan, Yuqing Li, Annette Lum‐Jones, Maarit Tiirikainen, Loreall Pooler, Brooke Naomi Nakamura, Xin Sheng, Jacqueline Porcel, Unhee Lim, Veronica Wendy Setiawan, Loı̈c Le Marchand, Lynne Ross Wilkens, Christopher A. Haiman, , Charleston W. K. Chiang

The paper shows that lack of Polynesian representation in genetic reference panels hinders discovery of population-specific variants, but accurate imputation is possible with a small number of Polynesian references.

bioRxiv · Oct 1, 2019 · PreprintGenetics

The PAGE Study: How Genetic Diversity Improves Our Understanding of the Architecture of Complex Traits

Genevieve L. Wojcik, Mariaelisa Graff, Katherine K Nishimura, Ran Tao, Jeffrey Haessler, Christopher R. Gignoux, Heather M Highland, Yesha M Patel, Elena P. Sorokin, Christy L Avery, Gillian M Belbin, Stephanie A Bien, Iona C. Cheng, Sinead Cullina, Chani J Hodonsky, , Christopher S Carlson

The paper conducts a GWAS in non-European populations, identifies new genetic loci, and highlights the importance of diverse cohorts for understanding complex traits.

bioRxiv · Oct 17, 2018 · PreprintGenetics