Multifactorial disease risk calculator: Risk prediction for multifactorial disease pedigrees

Area of Science:

• * Genetics and Epidemiology
• * Bioinformatics and Computational Biology
• * Public Health and Biostatistics

Background:

• * Constructing multifactorial disease models for risk prediction in pedigrees is complex.
• * Existing methods often struggle with intricate combinations of risk factors and population variance.
• * A need exists for accessible tools to apply sophisticated disease models to family structures.

Purpose of the Study:

• * To introduce the Multifactorial Disease Risk Calculator (MDRC), a web-based tool.
• * To facilitate the construction and application of complex multifactorial disease models.
• * To enhance disease risk prediction for individuals within disease pedigrees.

Main Methods:

• * Utilizes a liability-threshold model incorporating quantitative (polygenic scores) and categorical (genetic loci) risk factors.
• * Integrates stratified age of onset curves and partitions population variance into genetic, shared, and unique environmental effects.
• * Applies constructed models to disease pedigrees for risk prediction, generating individual and n-year risks, and joint liability distributions.

Main Results:

• * The MDRC provides a user-friendly interface for complex multifactorial disease modeling.
• * Successfully predicts individual disease risk, n-year risk, and joint liability distributions for pedigree members.
• * Demonstrates the application of comprehensive disease models to real-world pedigree data.

Conclusions:

• * The MDRC tool effectively simplifies complex multifactorial disease risk prediction.
• * Enables accurate risk assessment for individuals within pedigrees by integrating diverse risk factors.
• * Facilitates a deeper understanding of genetic and environmental influences on disease inheritance.