Article ; Online: Statistical Methods for Disease Risk Prediction with Genotype Data.
Methods in molecular biology (Clifton, N.J.)
2023 Volume 2629, Page(s) 331–347
Abstract: Single-nucleotide polymorphism (SNP) is the basic unit to understand the heritability of complex traits. One attractive application of the susceptible SNPs is to construct prediction models for assessing disease risk. Here, we introduce prediction ... ...
Abstract | Single-nucleotide polymorphism (SNP) is the basic unit to understand the heritability of complex traits. One attractive application of the susceptible SNPs is to construct prediction models for assessing disease risk. Here, we introduce prediction methods for human traits using SNPs data, including the polygenic risk score (PRS), linear mixed models (LMMs), penalized regressions, and methods for controlling population stratification. |
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MeSH term(s) | Humans ; Genome-Wide Association Study/methods ; Genotype ; Phenotype ; Risk Factors ; Multifactorial Inheritance ; Polymorphism, Single Nucleotide ; Genetic Predisposition to Disease |
Language | English |
Publishing date | 2023-03-16 |
Publishing country | United States |
Document type | Journal Article |
ISSN | 1940-6029 |
ISSN (online) | 1940-6029 |
DOI | 10.1007/978-1-0716-2986-4_15 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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