
Xianyong Yin
Articles
-
Jul 15, 2024 |
medrxiv.org | Ravi Mandla |Xianyong Yin |Ozvan Bocher |Kimberly Lorenz
J.B.M is an academic associate for Quest Diagnostics Inc. Endocrine R&D. MIMcC is now an employee of Genentech and a holder of Roche stock. A.H. is supported by the American Diabetes Association grant #11-23-PDF-35. O.B. has received funding from the European Unions Horizon 2020 research and innovation programme under Grant Agreement No 101017802 (OPTOMICS). A.P. is supported by the Wiener-Anspach Foundation, and the Fonds National de la Recherche Scientifique (FNRS).
-
May 20, 2024 |
digitalcommons.library.tmc.edu | Alice Williamson |Dougall M. Norris |Xianyong Yin |K Alaine Broadaway
Home > UTHealth > SPH > Journal Articles > 535 Journal Articles Humans, Insulin, Genome-Wide Association Study, Insulin Resistance, Diabetes Mellitus, Type 2, Glucose, Blood Glucose DOWNLOADS COinS...
-
Mar 31, 2024 |
biorxiv.org | Jeffrey Okamoto |Xianyong Yin |Joshua Chiou |Brady Ryan
AbstractWe present multi-integration of transcriptome-wide association studies and colocalization (Multi-INTACT), an algorithm that models multiple gene products (e.g. encoded RNA transcript and protein levels) to implicate causal genes and relevant gene products. In simulations, Multi-INTACT achieves higher power than existing methods, maintains calibrated false discovery rates, and detects the true causal gene product(s).
-
Mar 6, 2024 |
nature.com | Minna K. Karjalainen |Eeva Sliz |Elias Allara |Weihua Zhang |Pekka Jousilahti |Kati Kristiansson | +46 more
AbstractGenome-wide association analyses using high-throughput metabolomics platforms have led to novel insights into the biology of human metabolism1,2,3,4,5,6,7. This detailed knowledge of the genetic determinants of systemic metabolism has been pivotal for uncovering how genetic pathways influence biological mechanisms and complex diseases8,9,10,11.
-
Feb 19, 2024 |
nature.com | Konstantinos Hatzikotoulas |Henry Taylor |Xianyong Yin |Kim Lorenz |Mark McCarthy |Anubha Mahajan | +6 more
AbstractType 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D.
Try JournoFinder For Free
Search and contact over 1M+ journalist profiles, browse 100M+ articles, and unlock powerful PR tools.
Start Your 7-Day Free Trial →