Genome-Wide Association Meta-Analysis Using a Recessive Model Illuminates Genetic Architecture of Type 2 Diabetes Mark J
medRxiv preprint doi: https://doi.org/10.1101/2021.07.08.21258700; this version posted July 8, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Genome-Wide Association Meta-Analysis Using a Recessive Model Illuminates Genetic Architecture of Type 2 Diabetes Mark J. O’Connor 1, 2, 3, 4, 5, Alicia Huerta-Chagoya 6, Paula Cortés-Sánchez 7, Silvía Bonàs-Guarch 7, Joanne B. Cole 4, 5, 8, 9, David Torrents 7, 10, Kumar Veerapen 8, 11, 12, Niels Grarup 13, Mitja Kurki 8, 11, 12, Carsten F. Rundsten 13, Oluf Pedersen 13, Ivan Brandslund 14, 15, Allan Linneberg 16, 17, Torben Hansen 13, Aaron Leong 1, 2, 3, 4, 5, 8, 18,#, Jose C. Florez 1, 2, 3, 4, 5, 8,#, Josep M. Mercader 3, 4, 5, 8,# 1. Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. 2. Endocrine Division, Massachusetts General Hospital, Boston, MA, USA. 3. Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA. 4. Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. 5. Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA. 6. Consejo Nacional de Ciencia y Tecnología (CONACYT), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico. 7. Barcelona Supercomputing Center (BSC), Barcelona, Spain. 8. Department of Medicine, Harvard Medical School, Boston, MA, USA. 9.
[Show full text]