Genetic and Epigenetic Landscape of Self-Identified Hispanics/Latino in All Of Us
Adam C. EnglishiD, Yilei FuiD, Luis F. PauliniD, Michal B. IzydorczykiD, Sairam BeheraiD, Qiuhui LiiD, Xinchang ZhengiD, Yiming ZhuiD, Justin Paschall, Grace E. TietziD, Jessica Honorato-MaueriD, Luke B. MorinaiD, Sean Griffith, Aishwarya PisupatiiD, Siyu WangiD, Shannon Dugan-Perez, Helen SheniD, George M. Weissenberger, Vanesa Vee, Jessica Gearhart, Michelle Kokosinski, Yi Han, Benjamin Myers, Alice M. Sanchez, Michelle Z. Mawhinney, , Fritz J. SedlazeckiD
Abstract
Human genetic studies still underrepresent many populations, limiting discovery and interpretation of medically relevant variation. Extensive admixture in self-identified Hispanic/Latino populations increases the need for representative reference data and ancestry-aware interpretation of medically relevant variation. We used long-read sequencing to analyze genetic variation, ancestry, and DNA methylation in 1,490 self-identified Hispanic/Latino participants from the All of Us Research Program. We identified 10 million novel variants and more than 100 candidate phenotype associations, with fine-mapping prioritizing structural variants over nearby single-nucleotide variants in more than half. We linked 3,329 tandem repeats to DNA methylation, resolved widespread allele-specific methylation, and identified ancestry-linked regulation across paralogous genes. These results reveal previously inaccessible genetic and regulatory variation and show the value of long-read sequencing for diverse populations.
02 /Specification & Classification
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