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Genetic Basis for Disease and Molecular Mechanisms

Exam 3 Overview

  • Only 4 lectures covered in preparation for Exam 3.

Chapter 10: Identifying the Genetic Basis for Disease

  • Techniques for genetic analysis:

    • Whole Genome Sequencing (WGS): Sequences the entire genome.
    • Whole Exome Sequencing (WES): Focuses only on exons (coding regions, ~2% of the genome), making it cheaper and faster.
  • Procedure for identifying disease-causing genes:

    • Sequence the proband plus both parents.
    • Compare sequences to a reference genome to identify variants (approx. 4 million differences).
    • Use a filtering scheme to pinpoint disease-related variants:
    • Keep:
      • Variants in or near exons (greater likelihood of causing disease).
      • Rare variants not commonly found in the population (more likely to be causative).
      • Drastic variants (nonsense, missense, splice site mutations).
      • Homozygous recessive variants (indicative of autosomal recessive disorders, with parents being the same heterozygous).
      • Compound heterozygous variants (indicative of autosomal recessive disorders, with parents being different heterozygous).
  • After filtering, assess which gene is expressed in the affected tissue to reinforce findings.

  • Example Case: Postaxial Acrofacial Dysostosis (POAD)

    • Symptoms: Small jaw, missing digits; presumed to be autosomal recessive.
    • Approach: WGS revealed 4 million variants; mutated DHODH identified as a good candidate gene since it was found in unrelated patients.
  • WGS and WES have been used since 2009 with a ~40% success rate in identifying genes linked to 300 diseases.

Chapter 11: Molecular Basis of Genetic Disease

  • Types of mutations and their functional impact on proteins:
    • Loss of Function: Mutations can lead to non-expressed genes or dysfunctional proteins, affecting cellular function.
    • Gain of Function: Mutations may enhance the activity of proteins or lead to inappropriate expression.

Specific Effects of Mutations:

  • Coding Region Mutations:

    • Abnormal proteins can lead to diseases like Hemoglobin disorders:
    • Hb Hammersmith, B-Thalassemias: Result from mutations impairing normal protein function.
  • RNA Mutations:

    • Can disrupt RNA stability or splicing, leading to altered gene regulation or dosage affecting protein synthesis.

Loss vs Gain of Function:

  1. Loss of Function: Leads to conditions such as α-Thalassemia due to gene deletions.
    1. Gain of Function: Examples include mutations causing Down syndrome through overexpression or enhanced protein functionality.
  • Different types of mutations can lead to diverse clinical phenotypes:
    • Allelic Heterogeneity: Multiple alleles for a gene can cause varying degrees of disease severity based on residual gene function.
    • Locus Heterogeneity: Different genes may lead to the same clinical presentation (e.g., thalassemia can result from mutations in either α or β globin).

Hemoglobin Genetics:

  • Hemoglobinopathies are common, affecting about 5% of the world population.
  • Hemoglobin structure:
    • Normal human hemoglobin is a tetramer (comprising two alpha and two beta subunits) for oxygen transport.
    • Differences in gene expression between fetal and adult forms.

Sickle Cell Disease:

  • Due to mutations in the β-globin gene (e.g., GAG to GTG - Glu to Val substitution) that lead to sickling under low oxygen conditions.
  • Clinical consequences include:
    • Vaso-occlusion leading to ischemia and hemolytic anemia as cells become rigid and block blood flow.
    • Modifier genes like BCL11A and MYB that regulate the expression of fetal hemoglobin can influence disease severity.

Thalassemia:

  • Further categorized into:
    • α-Thalassemia: Loss of α-globin synthesis.
    • β-Thalassemia: Typically point mutations leading to reduced β-globin levels,
    • Both conditions cause imbalances in globin synthesis, leading to inadequate oxygen transport and RBC death due to aggregates of unpaired globins.

Therapeutic Approaches:

  • Innovations involving CRISPR and other techniques target gene regulators (like BCL11A) to modify hemoglobin expression and alter disease outcomes.
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