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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
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Non-additive association analysis using proxy phenotypes identifies novel cattle syndromes.

Edwardo G M Reynolds1, Catherine Neeley2, Thomas J Lopdell2

  • 1Massey University, Palmerston North, New Zealand.

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Researchers identified six novel recessive genetic disorders in cattle by analyzing over 130,000 animals. These findings reveal new insights into genetic disease and offer opportunities for selective breeding to reduce incidence.

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Area of Science:

  • Genomics
  • Animal Genetics
  • Quantitative Genetics

Background:

  • Mammals carry numerous loss-of-function variants, with a subset impacting essential genes and causing severe disease.
  • The functional impact of most variants remains poorly understood, potentially affecting fitness subtly.

Discussion:

  • A large-scale cattle genome sequencing screen (130,725 animals) identified novel recessive genetic loci.
  • Six novel loci with significant impacts, including missense, premature stop, and splice-disrupting mutations, were validated.

Key Insights:

  • Identified six novel recessive loci in cattle, including mutations in PLCD4, MTRF1, DPF2, MUS81, GALNT2, and FGD4.
  • These loci explain significant portions of inbreeding depression and present analogs to human diseases.
  • Demonstrated the power of large-scale screens to map novel genetic disorders directly.

Outlook:

  • These findings provide selection opportunities to minimize genetic disease incidence in livestock.
  • Highlights the potential for discovering new genetic disorders and understanding their impact on fitness.