Proteomic analysis of cardiometabolic biomarkers and predictive modeling of severe outcomes in patients hospitalized with COVID-19

Autor: Philip H. Schroeder, Laura N. Brenner, Varinderpal Kaur, Sara J. Cromer, Katrina Armstrong, Regina C. LaRocque, Edward T. Ryan, James B. Meigs, Jose C. Florez, Richelle C. Charles, Josep M. Mercader, Aaron Leong

Publikováno v: Cardiovascular Diabetology, Vol 21, Iss 1, Pp 1-13 (2022)

Abstract Background The high heterogeneity in the symptoms and severity of COVID-19 makes it challenging to identify high-risk patients early in the disease. Cardiometabolic comorbidities have shown strong associations with COVID-19 severity in epide

Externí odkaz: https://doaj.org/article/ed44f593dbf5486ba14bfccf9e577310

The power of TOPMed imputation for the discovery of Latino enriched rare variants associated with type 2 diabetes

Autor: Alicia Huerta-Chagoya, Philip Schroeder, Ravi Mandla, Aaron J. Deutsch, Wanying Zhu, Lauren Petty, Xiaoyan Yi, Joanne B. Cole, Miriam S. Udler, Peter Dornbos, Bianca Porneala, Daniel DiCorpo, Ching-Ti Liu, Josephine H. Li, Lukasz Szczerbiński, Varinderpal Kaur, Joohyun Kim, Yingchang Lu, Alicia Martin, Decio L. Eizirik, Piero Marchetti, Lorella Marselli, Ling Chen, Shylaja Srinivasan, Jennifer Todd, Jason Flannick, Rose Gubitosi-Klug, Lynne Levitsky, Rachana Shah, Megan Kelsey, Brian Burke, Dana M. Dabelea, Jasmin Divers, Santica Marcovina, Lauren Stalbow, Ruth J.F. Loos, Burcu F. Darst, Charles Kooperberg, Laura M. Raffield, Christopher Haiman, Quan Sun, Joseph B. McCormick, Susan P. Fisher-Hoch, Maria L. Ordoñez, James Meigs, Leslie J. Baier, Clicerio González-Villalpando, Maria Elena González-Villalpando, Lorena Orozco, Andrés Moreno, Carlos A. Aguilar-Salinas, Teresa Tusié, Josée Dupuis, Maggie C.Y. Ng, Alisa Manning, Heather M. Highland, Miriam Cnop, Robert Hanson, Jennifer Below, Jose C. Florez, Aaron Leong, Josep M. Mercader

HypothesisThe prevalence of type 2 diabetes is higher in Latino populations compared with other major ancestry groups. Not only has the Latino population been systematically underrepresented in large-scale genetic analyses, but previous studies relie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::12e714f749a0c92018aa67fa5b49017d
https://doi.org/10.1101/2022.09.30.22280535

Recessive Genome-wide Meta-analysis Illuminates Genetic Architecture of Type 2 Diabetes

Autor: Carsten Friis Rundsten, Torben Hansen, Ivan Brandslund, Marta Guindo-Martínez, Mitja I. Kurki, Jose C. Florez, Sílvia Bonàs-Guarch, Aaron Leong, Joanne B. Cole, Kumar Veerapen, Niels Grarup, Josep M. Mercader, Mark J. O'Connor, Allan Linneberg, Varinderpal Kaur, David Torrents, Philip Schroeder, Paula Cortes-Sánchez, Oluf Pedersen, Alicia Huerta-Chagoya

Publikováno v: O'Connor, M J, Schroeder, P, Huerta-Chagoya, A, Cortés-Sánchez, P, Bonàs-Guarch, S, Guindo-Martínez, M, Cole, J B, Kaur, V, Torrents, D, Veerapen, K, Grarup, N, Kurki, M, Rundsten, C F, Pedersen, O, Brandslund, I, Linneberg, A, Hansen, T, Leong, A, Florez, J C & Mercader, J M 2022, ' Recessive Genome-wide Meta-analysis Illuminates Genetic Architecture of Type 2 Diabetes ', Diabetes, vol. 71, no. 3, pp. 554-565 . https://doi.org/10.2337/db21-0545
Diabetes

Most genome-wide association studies (GWAS) of complex traits are performed using models with additive allelic effects. Hundreds of loci associated with type 2 diabetes have been identified using this approach. Additive models, however, can miss loci

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db48eb07b0bc907f358504be55446e94
https://portal.findresearcher.sdu.dk/da/publications/828dd316-3d73-43bd-ad39-c4d38447ca63

Genome-wide association analysis identifies ancestry-specific genetic variation associated with medication response in the Study to Understand the Genetics of the Acute Response to Metformin and Glipizide in Humans (SUGAR-MGH)

Autor: Josephine H. Li, Laura N. Brenner, Varinderpal Kaur, Katherine Figueroa, Miriam S. Udler, Aaron Leong, MAGIC Investigators, Josep M. Mercader, Jose C. Florez

BackgroundCharacterization of genetic variation that influences response to glucose-lowering medications is instrumental to precision medicine for treatment of type 2 diabetes (T2D). SUGAR-MGH examined the acute response to two anti-diabetes medicati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e73067b6914cc6a79ad77c05c38e383
https://doi.org/10.1101/2022.01.24.22269036

The study to understand the genetics of the acute response to metformin and glipizide in humans (SUGAR-MGH): design of a pharmacogenetic resource for type 2 diabetes.

Autor: Geoffrey A Walford, Natalia Colomo, Jennifer N Todd, Liana K Billings, Marlene Fernandez, Bindu Chamarthi, A Sofia Warner, Jaclyn Davis, Katherine R Littleton, Alicia M Hernandez, Rebecca R Fanelli, Amelia Lanier, Corinne Barbato, Rachel J Ackerman, Sabina Q Khan, Rosa Bui, Laurel Garber, Elliot S Stolerman, Allan F Moore, Chunmei Huang, Varinderpal Kaur, Maegan Harden, Andrew Taylor, Ling Chen, Alisa K Manning, Paul Huang, Deborah Wexler, Rita M McCarthy, Janet Lo, Melissa K Thomas, Richard W Grant, Allison Goldfine, Margo S Hudson, Jose C Florez

Publikováno v: PLoS ONE, Vol 10, Iss 3, p e0121553 (2015)

Genome-wide association studies have uncovered a large number of genetic variants associated with type 2 diabetes or related phenotypes. In many cases the causal gene or polymorphism has not been identified, and its impact on response to anti-hypergl

Externí odkaz: https://doaj.org/article/0b9d642396cf47848d3354e4f5246c20