Genetic epidemiology explores how genes influence health and disease. It uses key concepts like , , and to understand the genetic basis of traits and conditions. principles guide our understanding of how genes are passed down through generations.
Genetic markers are crucial tools in epidemiological studies. They help identify disease-related genes and assess genetic risk factors. , the non-random association of alleles, plays a vital role in genetic association studies by improving efficiency and power in pinpointing disease-associated regions.
Fundamentals of Genetic Epidemiology
Key terms in genetic epidemiology
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Genotype defines genetic makeup of organism composed of alleles inherited from parents represented by letters (AA, Aa, aa)
Phenotype describes observable characteristics or traits resulting from genotype and environmental interactions (eye color, height, disease status)
Heritability measures proportion of phenotypic variation due to genetic factors ranging from 0 to 1 calculated using twin or family studies
refers to alternative forms of a gene at specific can be dominant or recessive
Locus pinpoints specific location of gene on chromosome
Principles of Mendelian inheritance
Mendel's Laws
states alleles separate during gamete formation each gamete receives one allele for each trait
explains alleles for different traits assort independently applies to genes on different chromosomes
Inheritance patterns
requires one copy of mutant allele causes phenotype
needs two copies of mutant allele for phenotype
involves genes located on X chromosome
predict offspring genotypes
Relevance to genetic epidemiology
Identifies inheritance patterns of diseases
Allows risk assessment in families
Guides genetic counseling and screening programs
Genetic Markers and Association Studies
Types of genetic markers
(SNPs) represent single base pair variations in DNA sequence most common type of genetic variation used in genome-wide association studies (GWAS)
consist of short tandem repeats of DNA sequences highly polymorphic used in linkage studies and forensics
(CNVs) involve structural variations including deletions or duplications associated with complex diseases
(RFLPs) show variations in DNA sequence recognized by restriction enzymes used in early genetic mapping studies
Applications in epidemiological studies
Identify disease susceptibility genes
Assess genetic risk factors
Study gene-environment interactions
Conduct pharmacogenomics research
Concept of linkage disequilibrium
Linkage disequilibrium (LD) describes non-random association of alleles at different loci measured by D' or r² statistics
Factors affecting LD
Recombination rate
Population history (bottlenecks, admixture)
Natural selection
represent regions of high LD in genome allow for efficient genotyping strategies
Importance in genetic association studies
Enables use of capturing information about set of SNPs in high LD
Improves power and efficiency of association studies
Helps fine-mapping of disease-associated regions
Limitations
LD patterns vary across populations
May lead to false-positive associations if not properly accounted for