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Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes

Dina Mansour Aly, Om Prakash Dwivedi, Rashmi B. Prasad, Annemari Käräjämäki, Rebecka Hjort, Manonanthini Thangam, Mikael Åkerlund, Anubha Mahajan, Miriam S. Udler, José C. Florez, Mark I. McCarthy, RGC Management and Leadership Team, Gonçalo R. Abecasis, Aris Baras, Michael Cantor, Giovanni Coppola, Aris N. Economides, Luca A. Lotta, John D. Overton, Jeffrey G. Reid, Alan R. Shuldiner, Sequencing and Lab Operations, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Louis Widom, Sarah E. Wolf, Manasi Pradhan, Kia Manoochehri, Ricardo H. Ulloa, Genome Informatics, Xiaodong Bai, Suganthi Balasubramanian, Andrew Blumenfeld, Gisu Eom, Lukas Habegger, Alicia Hawes, Shareef Khalid, Evan K. Maxwell, William Salerno, Jeffrey Staples, Marcus B. Jones, Lyndon J. Mitnaul, Julia Brosnan, Olle Melander, Sofia Carlsson, Ola Hansson, Tiinamaija Tuomi, Leif Groop, Emma Ahlqvist

2021Nature Genetics175 citationsDOI

Topics & Concepts

Genome-wide association studyBiologyEtiologyDiabetes mellitusTCF7L2Genetic associationSNPType 2 diabetesDiseaseGenetic architectureGeneticsLocus (genetics)Single-nucleotide polymorphismBioinformaticsInternal medicineGenotypePhenotypeGeneMedicineEndocrinologyGenetic Associations and EpidemiologyCancer-related molecular mechanisms researchGenetic Mapping and Diversity in Plants and Animals
Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes | Litcius