Genomics, type 2 diabetes, and obesity.

By Mark I. McCarthy. New England Journal of Medicine, 2010

981 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bac5dadbc1c29ba537032d5d358816dbec7dce5a

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Citations in the corpus

A Six Months Exercise Intervention Influences the Genome-wide DNA Methylation Pattern in Human Adipose Tissue (2013, positive): “Importantly, although each variant only contributes with a small risk, these findings have led to improved understanding of the biological basis of disease [3].”
Pathophysiology of Type 2 Diabetes Mellitus (2020, background): “Over the past decade, several T2DM genome-wide association studies have shown the complex polygenic nature of T2DM in which most of these loci increase T2DM risk through primary effects on insulin secretion, and a minority act through reducing insulin action [21,22].”
Development and Evaluation of a Genetic Risk Score for Obesity (2013, background): “A key challenge in this effort is that obesity’s genetic roots are diffuse, multifactorial, and nondeterministic; many variants scattered across the genome each contribute small risks for obesity (McCarthy 2010).”
Beta Cell Dysfunction and Insulin Resistance (2013, background): “…in beta cell dysfunction) rather than insulin action (resulting in insulin resistance) which establishes that inherited abnormalities of beta cell function or mass (or both) are critical precursors in type 2 diabetes (Florez, 2008; McCarthy, 2010; Voight et al., 2010; Petrie et al., 2011).”
Obesity and type 2 diabetes mellitus: connections in epidemiology, pathogenesis, and treatments (2023, background): “Frontiers in Endocrinology 04 development and function (18, 21) (Figure 1).”
Globalization of Diabetes (2011, background): “GENETIC SUSCEPTIBILITY AND GENE-ENVIRONMENT INTERACTIONS—The recent advent of genome-wide association studies (GWAS) has led to major advances in the identification of common genetic variants contributing to diabetes susceptibility (40).”
Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study (2012, background): “However, the genetic underpinnings of T1D and T2D differ.(18) 19 Second, although T2D is increasingly common in youth and young adults, onset is typically later in life, complicating the identification of a control group at low risk of T2D.”