Multifactoral Disorders Flashcards
clubfoot
common birth defect with multifactoral inheritance aka not follow mendelian
-genetic (family hx 6x risk)
-environment (smoking 1.4x risk)
quantitative trait
multifactoral disease risk can be quantified/measured, not all or nothing
-guassian distribution (normal)
-genetic + environment contributions
percentage of disorders
- single gene/medelian = 2%
- chromosomal/genomic = 0.38%
- multifactoral = 60% of pop (diabetes, heart disease)
QTL
quantitative trait loci
determines quantitative traits
polymorphic (diff alleles in gene pool)
-alleles are contributing or not to trait
liability to disease so alleles raise or lower risk
threshold model
for a trait with 2 genes contributing alleles range from 0 (all recessive) to 4 (all dominant)
-1/2/3 all heterozygous mix
shows normal distribution
threshold of liability
indivs above threshold = dev disorder
lower threshold = higher incidence
vary by sex- threshold for boys is lower
liability distributions
pop of “indivs w/ affected relative” = higher mean risk than general pop
indivs placed in a pop (general or affected) based on family hx then determine threshold by sex
pyloric stenosis
affects boys more freq than girls so threshold of liability lower for males
recurrent risk higher for fams w/ affected female bc more contributing alleles (need more contributions for a female to be affected)
twin studies
monozygotic twins = genetically identical
dizygotic = 50% genes
-both MZ and DZ must have similar environ so that genetics is the variable
concordance higher MZ = trait has strong genetic component
heritability H2
H2 = (concordance MZ-concordance DZ) x 2
adoption studies
adopted kids vs biological parents so genetics shared but environ variable
-high concordance = strong genetics
OR adopted kids vs adoptive parents so environ same but genetics variable
-high concordance = strong environ component
Type 1 Diabetes
approaches
- candidate gene approach- look for polymorphisms in genes involved in immune response then calc how much the risk is elevated by
- genome wide association study, GWAS-find SNPs that assoc w/ T1D then calc how likely it is not random
outcomes for GWAS
- analyze whole genome for SNP markers in affected families
-SNP is landmark on chromo NOT variation contributing to disease - compare SNP of affected vs unaffected
- look for markers that occur more often in diseased indivs
- calc odds that assoc is real vs by chance
diabetes risk locus
@chromo VI (6p)
-codes for human leukocyte antigen (HLA) genes
-region is inherited as block aka haplotype so few or no crossovers at locus
-very polymorphic, also called major histocompatibility complex
HLA haplotypes
HLA proteins mediate antigen presentation to T cells so
variants can either be susceptive or protective
T1D is autoimmune disorder, HLA genes determine immune specificity