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Publication Information
Authors
Huerta-Chagoya Alicia, Schroeder Philip, Mandla Ravi, Deutsch Aaron J., Zhu Wanying, Petty Lauren, Yi Xiaoyan, Cole Joanne B., Udler Miriam S., Dornbos Peter, Porneala Bianca, DiCorpo Daniel, Liu Ching-Ti, Li Josephine H., Szczerbiński Lukasz, Kaur Varinderpal, Kim Joohyun, Lu Yingchang, Martin Alicia, Eizirik Decio L., Marchetti Piero, Marselli Lorella, Chen Ling, Srinivasan Shylaja, Todd Jennifer, Flannick Jason, Gubitosi-Klug Rose, Levitsky Lynne, Shah Rachana, Kelsey Megan, Burke Brian, Dabelea Dana M., Divers Jasmin, Marcovina Santica, Stalbow Lauren, Loos Ruth J. F., Darst Burcu F., Kooperberg Charles, Raffield Laura M., Haiman Christopher, Sun Quan, McCormick Joseph B., Fisher-Hoch Susan P., Ordoñez Maria L., Meigs James, Baier Leslie J., González-Villalpando Clicerio, González-Villalpando Maria Elena, Orozco Lorena, García-García Lourdes, Moreno-Estrada Andrés, Aguilar-Salinas Carlos A., Tusié Teresa, Dupuis Josée, Ng Maggie C. Y., Manning Alisa, Highland Heather M., Cnop Miriam, Hanson Robert, Below Jennifer, Florez Jose C., Leong Aaron, Mercader Josep M.
Studies
Abstract
The Latino population has been systematically underrepresented in large-scale genetic analyses, and previous studies have relied on the imputation of ungenotyped variants based on the 1000 Genomes (1000G) imputation panel, which results in suboptimal capture of low-frequency or Latino-enriched variants. The National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) released the largest multi-ancestry genotype reference panel representing a unique opportunity to analyse rare genetic variations in the Latino population. We hypothesise that a more comprehensive analysis of low/rare variation using the TOPMed panel would improve our knowledge of the genetics of type 2 diabetes in the Latino population.