Constructing a polygenic risk score for childhood obesity using functional data analysis.

ABSTRACT: Obesity is a highly heritable condition that affects increasing numbers of adults and, concerningly, of children. However, only a small fraction of its heritability has been attributed to specific genetic variants. These variants are traditionally ascertained from genome-wide association studies (GWAS), which utilize samples with tens or hundreds of thousands of individuals for whom a single summary measurement (e.g., BMI) is collected. An alternative approach is to focus on a smaller, more deeply characterized sample in conjunction with advanced statistical models that leverage longitudinal phenotypes. Novel functional data analysis (FDA) techniques are used to capitalize on longitudinal growth information from a cohort of children between birth and three years of age. In an ultra-high di

SUBMITTER: Craig SJC 

PROVIDER: S-EPMC9813976 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature