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Título del libro: Principles Of Genetics And Molecular Epidemiology
Título del capítulo: Bioinformatics and Genomics for Epidemiologists

Autores UNAM:
OMAR YAXMEHEN BELLO CHAVOLLA; NEFTALI EDUARDO ANTONIO VILLA; MARCO ANTONIO DELAYE MARTINEZ;
Autores externos:

Idioma:

Año de publicación:
2022
Palabras clave:

Bioinformatics; Epigenetics; EWAS; Genetic risk scores; Genetics; GWAS; Systems biology


Resumen:

Recent advances in genetics have led to the discovery of the interaction of specific risk factors or the risk for specific outcomes with genetic traits with complex patterns of expression and heritability. As vast amounts of data are gathered in large-scale epidemiological studies, methods which integrate meaningful genetic information along with clinical, demographic, and biochemical data require bioinformatics approaches which are often complex and require large computational power. In this chapter, we discuss three main applications of bioinformatics and genetics onto epidemiological research by discussing genome and epigenome-wide association studies and its use for the development of genetic risk scores. We further discuss the implication of bioinformatics to meaningfully integrate findings from genetic epidemiology with information from different biological systems to model complex disease processes and apply these findings into personalized medicine. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.


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