Presymptomatic risk assessment for chronic non-communicable diseases
Badri Padhukasahasram, Eran Halperin, Jennifer Wessel, Daryl Thomas,, Elana Silver, Heather Trumbower, Michele Cargill, Dietrich Stephan

TL;DR
This paper introduces the genetic composite index (GCI), a novel genetic risk measure for pre-symptomatic assessment of chronic non-communicable diseases, integrating genetic and environmental data for improved clinical decision-making.
Contribution
It presents a new framework for CNCD risk assessment using GCI, which relies solely on genetic summary statistics and can incorporate future genetic discoveries.
Findings
GCI effectively predicts disease risk in clinical settings.
Combining GCI with environmental factors enhances risk stratification.
GCI is adaptable to new genetic information as technologies advance.
Abstract
The prevalence of common chronic non-communicable diseases (CNCDs) far overshadows the prevalence of both monogenic and infectious diseases combined. All CNCDs, also called complex genetic diseases, have a heritable genetic component that can be used for pre-symptomatic risk assessment. Common single nucleotide polymorphisms (SNPs) that tag risk haplotypes across the genome currently account for a non-trivial portion of the germ-line genetic risk and we will likely continue to identify the remaining missing heritability in the form of rare variants, copy number variants and epigenetic modifications. Here, we describe a novel measure for calculating the lifetime risk of a disease, called the genetic composite index (GCI), and demonstrate its predictive value as a clinical classifier. The GCI only considers summary statistics of the effects of genetic variation and hence does not require…
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