Proceedings of the National Academy of Sciences · 2004 · 273 citations · 15 references
GeneticsHuman PolymorphismMendelian DiseaseMolecular GeneticsDisease Gene IdentificationGenomicsMost Mendelian DiseasesComplex Disease CsnpsGenetic AnalysisMendelian DisorderMolecular EcologyBiostatisticsPublic HealthProtein FunctionStatistical GeneticsBioinformaticsComplex Trait GeneticsSingle-nucleotide PolymorphismsEvolutionary EvidenceEvolutionary BiologyComputational BiologyProtein EvolutionComplex DiseaseSystems BiologyMedicine
Most Mendelian diseases arise from single amino acid changes, and coding SNPs are increasingly linked to complex diseases, hinting at shared molecular mechanisms. Here, we use two evolutionary analyses to compare Mendelian and complex disease-associated coding SNPs. We estimate functional impact of specific amino acid substitutions using substitution scores from protein alignments and hidden Markov models, and compare genes via Ka/Ks ratios. Mendelian disease cSNPs cluster at highly conserved residues, implying severe functional effects, whereas complex disease cSNPs follow a distribution indistinguishable from normal variation and show higher Ka/Ks ratios, indicating weaker purifying selection, underscoring that Mendelian disease models may not reflect complex disease molecular effects.
Most Mendelian diseases studied to date arise from mutations that lead to a single amino acid change in an encoded protein. An increasing number of complex diseases have also been associated with amino acid-changing single-nucleotide polymorphisms (coding SNPs, cSNPs), suggesting potential similarities between Mendelian and complex diseases at the molecular level. Here, we use two different evolutionary analyses to compare Mendelian and complex disease-associated cSNPs. In the first, we estimate the likelihood that a specific amino acid substitution in a protein will affect the protein's function, by using amino acid substitution scores derived from an alignment of related protein sequences and statistics from hidden Markov models. In the second, we use standard Ka/Ks ratios to make comparisons at the gene, rather than the individual amino acid, level. We find that Mendelian disease cSNPs have a very strong tendency to occur at highly conserved amino acid positions in proteins, suggesting that they generally have a severe impact on the function of the protein. Perhaps surprisingly, the distribution of amino acid substitution scores for complex disease cSNPs is dramatically different from the distribution for Mendelian disease cSNPs, and is indistinguishable from the distribution for "normal" human variation. Further, the distributions of Ka/Ks ratios for human and mouse orthologs indicate greater positive selection (or less negative selection) pressure on complex disease-associated genes, on average. These findings suggest that caution should be exercised when using Mendelian disease as a model for complex disease, at least with respect to molecular effects on protein function.
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