Metabolic health and cardiometabolic risk clusters: implications for prediction, prevention, and treatment

N Stefan, MB Schulze - The lancet Diabetes & endocrinology, 2023 - thelancet.com
Among 20 leading global risk factors for years of life lost in 2040, reference forecasts point to
three metabolic risks—high blood pressure, high BMI, and high fasting plasma glucose—as …

Precision subclassification of type 2 diabetes: a systematic review

S Misra, R Wagner, B Ozkan, M Schön… - Communications …, 2023 - nature.com
Background Heterogeneity in type 2 diabetes presentation and progression suggests that
precision medicine interventions could improve clinical outcomes. We undertook a …

Multi-ancestry polygenic mechanisms of type 2 diabetes

K Smith, AJ Deutsch, C McGrail, H Kim, S Hsu… - Nature Medicine, 2024 - nature.com
Abstract Type 2 diabetes (T2D) is a multifactorial disease with substantial genetic risk, for
which the underlying biological mechanisms are not fully understood. In this study, we …

[HTML][HTML] Multi-ancestry genome-wide study in> 2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

K Suzuki, K Hatzikotoulas, L Southam, HJ Taylor, X Yin… - medRxiv, 2023 - ncbi.nlm.nih.gov
Abstract Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse
pathophysiological processes. To characterise the genetic contribution to these processes …

Precision medicine of obesity as an integral part of type 2 diabetes management–past, present, and future

L Szczerbinski, JC Florez - The Lancet Diabetes & Endocrinology, 2023 - thelancet.com
Obesity is a complex and heterogeneous condition that leads to various metabolic
complications, including type 2 diabetes. Unfortunately, for some, treatment options to date …

Dynamic measures of insulin action identify genetic determinants of dysglycemia

MS Udler - Nature Genetics, 2023 - nature.com
Genome-wide association studies (GWAS) of type 2 diabetes have identified few loci
connected to muscle biology. A GWAS of post-glucose-challenge measures of insulin has …

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

K Suzuki, K Hatzikotoulas, L Southam, HJ Taylor, X Yin… - Nature, 2024 - nature.com
Abstract Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse
pathophysiological processes, and molecular mechanisms that are often specific to cell …

A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease

A Eoli, S Ibing, C Schurmann, GN Nadkarni… - Scientific Reports, 2024 - nature.com
Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney
function, affecting approximately 9.1% of the world's population. Here, we use a soft …

Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations

S Ghatan, J van Rooij, M van Hoek, CG Boer, JF Felix… - Genome Medicine, 2024 - Springer
Abstract Background Type 2 diabetes (T2D) is a heterogeneous and polygenic disease.
Previous studies have leveraged the highly polygenic and pleiotropic nature of T2D variants …

Many roads to a gene-environment interaction

KE Westerman, T Sofer - The American Journal of Human Genetics, 2024 - cell.com
Despite the importance of gene-environment interactions (GxEs) in improving and
operationalizing genetic discovery, interpretation of any GxEs that are discovered can be …