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A large-scale study of the random variability of a coding sequence: a study on the CFTR gene
Guido Modiano1, Cristina Bombieri, Bianca Maria Ciminelli
1Department of Biology, University of Tor Vergata - Rome, Via della Ricerca, Scientifica, 001333 Roma, Italy. modiano@uniroma2.it
European Journal of Human Genetics : EJHG
|November 13, 2004
Summary
Genetic drift influences harmful recessive alleles in non-duplicated genes. Subpolymorphic nonsynonymous substitutions in the CFTR gene suggest many are disadvantageous or pathogenic.
Area of Science:
- Human Genetics
- Population Genetics
- Molecular Biology
Background:
- Coding single nucleotide substitutions (cSNSs) are typically studied in small gene samples.
- The CFTR gene, crucial for Cystic Fibrosis, is a key focus in genetic variation studies.
Purpose of the Study:
- To investigate the variability of nonsynonymous (NS) and synonymous (S) substitutions in the CFTR gene using a large European population sample.
- To determine the role of genetic drift versus selection in subpolymorphic variability for autosomal genes with potentially harmful recessive alleles.
Main Methods:
- Analysis of a large random European population sample (average n(g) approximately 1500) for CFTR gene variations.
- Comparison of polymorphism (q > 0.005) and subpolymorphism (q < 0.005) rates between NS and S substitutions.
Main Results:
- Nonsynonymous substitutions in CFTR showed a lower probability of being polymorphic compared to synonymous substitutions.
- However, NS and S substitutions exhibited similar rates of subpolymorphic variability.
- Genetic drift appears to dominate selection in the subpolymorphic range for functionally important, non-duplicated autosomal genes.
Conclusions:
- The majority of subpolymorphic nonsynonymous alleles in genes like CFTR are likely selectively disadvantageous or pathogenic.
- Selection is less effective in the subpolymorphic range for these genes, allowing potentially harmful alleles to persist.
- Findings have implications for understanding the evolution of genetic diseases and the interpretation of genetic variation data.