Gene Mapping and Complex Traits Notes

Mendel and Modes of Inheritance

  • Revision of Mendel's laws and modes of inheritance.
  • Understanding when these principles break down.

Mendel's Peas

  • Classic example of dominant and recessive traits.
  • P generation: Round peas (RR) and wrinkled peas (rr).
  • F1 generation: All offspring are round (Rr).
  • F2 generation: 3 round : 1 wrinkled phenotypic ratio.

Modes of Inheritance

  • X-linked recessive: Affected males do not have affected sons.
  • Autosomal recessive: Trait skips generations.
  • Autosomal dominant: Trait does not skip generations; both males and females are affected.
  • Elimination strategy:
    • Does the trait skip a generation? (Yes = recessive; No = dominant)
    • Are both males and females affected? (Yes = autosomal; No = sex chromosome-linked)
    • Do affected males have affected sons? (No = X-linked)
  • Y-linkage and X-linked dominant disorders are rare.

Punnett Square

  • Used to predict the probability of offspring genotypes.
  • Example: Mother (XaX) x Father (XAY) yields XaY and X Xa Xa X products.

Hardy-Weinberg Equilibrium

  • Used to calculate carrier frequencies in a population.
  • Given: Frequency of cc (affected individuals) is 1/2500 = 0.0004.
  • Therefore: c2=0.0004c^2 = 0.0004, c=0.0004=0.02c = \sqrt{0.0004} = 0.02
  • Frequency of C: 10.02=0.981 – 0.02 = 0.98
  • Frequency of carriers (Cc + cC): (0.980.02)+(0.020.98)0.04=1/25(0.98 * 0.02) + (0.02 * 0.98) ≈ 0.04 = 1/25

When Things Break Down

Incomplete Penetrance

  • Penetrance: The proportion of individuals with the disease-causing allele that develop clinical symptoms.
  • Example: Polydactyly.

Variable Expressivity

  • Expressivity: The severity and type of symptoms shown in an individual with the disease-causing allele.
  • Example: Osteogenesis imperfecta.

Penetrance vs. Expressivity

  • Penetrance: Proportion of individuals affected.
  • Expressivity: Individual symptoms.
  • Suggests trait is complex, not single-gene.

Complex Traits

  • Determined by:
    • Genes: additive, dominance, epistasis
    • Environment: diet/exercise, smoking, etc.
  • Genes and environment contribute to total phenotypic variance.
  • Heritability depends on genes.

Broad Heritability (H2H^2)

  • Definition: Proportion of phenotypic variance due to genetic effects.
  • Most commonly quoted measure for humans.
  • Estimated using twin studies:
    • Monozygotic (MZ) twins: same genes.
    • Dizygotic (DZ) twins: share half their genes.
  • Concordance in MZ twins estimates heritability.

Heritability Estimates

  • Psoriasis: ~90%
  • Diabetes: ~70%
  • Major depression: ~50%
  • Schizophrenia: ~50%
  • IQ: ~50%
  • Neurotic/extravert: ~40%
  • Asthma: ~30%
  • Sexual preference: ~30%
  • Cardiac conditions: ~30%
  • Many cancers: ~20%
  • Multiple sclerosis: ~10%
    *Figures vary slightly from study to study

The Human Genome

  • 3 billion base pairs
  • 23 chromosomes
  • ~15,000 genes

Gene Maps

  • Physical maps
  • Linkage maps

Methods of Mapping

  • Segregation analysis (pedigrees, recombination)
  • Association analysis (linkage disequilibrium)

Modern Genome Maps

  • Interactive maps with click and zoom functionality.
  • Provide extensive information.

Mapping Disease

Approaches for Genetic Mapping

  • Linkage mapping
  • Association mapping
  • Sequencing

Gene Mapping

  • Achieved using DNA markers.
  • If a marker is often inherited with a disease, it may be close to the disease locus.
  • Need to establish the involved DNA sequence.

DNA Markers

  • Requirements:
    • Clean Mendelian inheritance
    • Sufficiently polymorphic
    • Easy to type
    • High density, spread across the genome

Types of DNA Markers

  • Blood groups
  • Electrophoretic mobility variants of serum proteins
  • HLA tissue types
  • DNA RFLPs
  • DNA VNTRs (minisatellites)
  • DNA VNTRs (microsatellites)
  • DNA SNPs

Examples of DNA markers

  • Microsatellites: Short tandem repeats (e.g., CT, CA).
  • Single nucleotide polymorphisms (SNPs): Single base variations.

Linkage Revision

  • Assessed by observing how often disease and marker are inherited together.
  • Marker and disease locus may be close together on the same chromosome (linked).

Meiosis and Linkage

  • Crossing over during prophase I of meiosis can separate linked alleles.

Linkage Principles

  • The closer two loci are, the more likely they are to be inherited together.
  • Different chromosomes = independent assortment (50% chance of co-segregating).
  • Same chromosome = linked.
  • Linked alleles can be separated by recombination (crossing over).

Punnett Square for Testcross

  • Predicted ratio with independent assortment: 1:1:1:1.
  • Observed ratio suggests linkage if it deviates significantly.

Linkage Scenarios

  • Independent assortment: vg+ vg, b+ b, vg b+, vg+ b+ = 25% each.
  • If linked (0% recombination): vg+ vg = 50%, b+ b = 50%, others = 0%.
  • If linked (25% recombination): Parental types = 37.5% each, recombinant types = 12.5% each.
  • 50% recombination is the same as independent assortment.

Using Linkage in Families (Pedigrees)

  • Recombination frequency indicates distance between loci on a chromosome.
  • Used to determine the most likely position of a disease gene (i.e., the closest marker).
  • Probability of linkage is calculated by determining log of odds (LOD) scores.

Summary: Linkage in Families

  • Examines co-segregation of markers and disorder phenotype.
  • Genotyping for microsatellites and/or SNPs.
  • Calculation of LOD scores.
  • Study of candidate genes.
  • Limitations: poor pedigree data, difficult for polygenic traits.

Linkage in Populations

Linkage Disequilibrium (LD)

  • The non-random association of alleles within a genome.
  • Based on population information, not pedigree.

Assessing LD

  • Assume two loci A and B are linked.
  • Allele A1, freq = 0.1; allele B1, freq = 0.1.
  • Assess frequency of haplotype A1B1.
  • freq (A1B1) = freq(A1) * freq(B1) = 0.1 x 0.1 = 0.01.
  • Compare to observed frequency.
  • If frequency of A1B1 is significantly different from 0.01, there is linkage disequilibrium.

Assumptions for Linkage Disequilibrium (LD) Mapping

  • Disease caused by single mutation event – Identity by Descent.
  • Large patient cohort carrying the new allele.
  • Disease mutation was recent enough to avoid randomisation of allele association due to recombination.
  • The closer the linked allele is to the disease:
    • The less opportunity for recombination.
    • The stronger the linkage disequilibrium.
  • Pattern can be used to locate disease gene in affected Haplotypes.

Cystic Fibrosis Example

  • X and K markers near CF.
  • 2 alleles each.
  • One haplotype common in CF.
  • Haplotypes: X1K1, X1K2, X2K1, X2K2.

Genome-Wide Association Study

  • Graph showing -log10(P) values for different chromosomes.

Difficulties in Mapping Diseases

  • Complex disease
  • Multigenic trait
  • Heterogeneity
  • Phenocopies
  • Reduced Penetrance
  • Mistyping

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