Applied Statistics for Human Genetics Using R

Bertram K C Chan

doi:10.1007/978-3-319-93791-5_3

Applied Statistics for Human Genetics Using R

Adv Exp Med Biol. 2018:1082:123-144. doi: 10.1007/978-3-319-93791-5_3.

Author

Bertram K C Chan¹

Affiliation

¹ Epidemiology and Biostatistics, Loma Linda University School of Medicine and Public Health, Sunnyvale, CA, USA.

PMID: 30357718
DOI: 10.1007/978-3-319-93791-5_3

Abstract

This chapter considers the fundamental concepts in the theory of probability and applied statistics in epidemiology, including the biostatistical concepts and measures in genetic association and familial aggregation studies, including: Additional Approaches in Familial Aggregation Studies Twin Studies Adoption Studies Inbreeding Studies Randomization Test Segregation studies, Linkage studies, Association studies Genome-wide Association Studies (GWAS) Big Data and Human Genomics.

Keywords: Adoption studies; Association studies; Big data and human genomics; Biostatistical concepts and measures in genetic association; Familial aggregation studies; Genome-wide Association Studies (GWAS); Inbreeding studies; Linkage studies; Randomization test; Segregation studies; Theory of probability and applied statistics in epidemiology; Twin studies.

MeSH terms

Adoption
Biometry
Genetic Linkage
Genetic Predisposition to Disease
Genome-Wide Association Study
Human Genetics*
Humans
Inbreeding
Statistics as Topic*
Twin Studies as Topic