High-frequency variants in PKA signaling-related genes within a large pediatric cohort with obesity or metabolic abnormalities

Author:

Bloyd Michelle,Sinaii Ninet,Faucz Fabio Rueda,Iben James,Coon Steven L.,Caprio Sonia,Santoro Nicola,Stratakis Constantine A.,London Edra

Abstract

IntroductionPediatric obesity has steadily increased in recent decades. Large-scale genome-wide association studies (GWAS) conducted primarily in Eurocentric adult populations have identified approximately 100 loci that predispose to obesity and type II diabetes. GWAS in children and individuals of non-European descent, both disproportionately affected by obesity, are fewer. Rare syndromic and monogenic obesities account for only a small portion of childhood obesity, so understanding the role of other genetic variants and their combinations in heritable obesities is key to developing targeted and personalized therapies. Tight and responsive regulation of the cAMP-dependent protein kinase (PKA) signaling pathway is crucial to maintaining healthy energy metabolism, and mutations in PKA-linked genes represent the most common cause of monogenic obesity.MethodsFor this study, we performed targeted exome sequencing of 53 PKA signaling-related genes to identify variants in genomic DNA from a large, ethnically diverse cohort of obese or metabolically challenged youth.ResultsWe confirmed 49 high-frequency variants, including a novel variant in the PDE11A gene (c.152C>T). Several other variants were associated with metabolic characteristics within ethnic groups.DiscussionWe conclude that a PKA pathway-specific variant search led to the identification of several new genetic associations with obesity in an ethnically diverse population.

Funder

National Institute of Child Health and Human Development

Publisher

Frontiers Media SA

Subject

Endocrinology, Diabetes and Metabolism

Reference47 articles.

1. Genetic studies of body mass index yield new insights for obesity biology;Locke;Nature,2015

2. The trans-ancestral genomic architecture of glycemic traits;Chen;Nat Genet,2021

3. Genomic insights into the causes of type 2 diabetes;Langenberg;Lancet,2018

4. “National health and nutrition examination survey 2017–march 2020 prepandemic data files—development of files and prevalence estimates for selected health outcomes”;Stierman,2021

5. Trends in prevalence of type 1 and type 2 diabetes in children and adolescents in the US, 2001-2017;Lawrence;JAMA,2021

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