A Molecular Evolutionary Reference for the Human Variome.

Area of Science:

• Genomics
• Molecular Evolution
• Bioinformatics

Background:

• Genomic sequencing reveals extensive population variation.
• This variation is used to infer natural selection and create reference sequences.
• Existing methods often rely on intraspecific polymorphism data.

Purpose of the Study:

• Introduce a novel molecular evolutionary method to estimate neutral evolutionary probabilities (EPs).
• Develop a method independent of intraspecific polymorphism data for broader applicability.
• Create a comprehensive evolutionary variome reference for human proteins.

Main Methods:

• Developed a method to calculate neutral evolutionary probabilities (EPs) for each amino acid or nucleotide state.
• Applied the EP method to human coding sequences, generating an evolutionary variome reference.
• Analyzed discordance between allelic EPs and population frequencies to identify nonneutral evolution candidates.

Main Results:

• EPs accurately predict neutral and disease-associated alleles.
• Thousands of novel candidate sites for nonneutral evolution in human proteins were discovered.
• Many identified sites were validated using disease-associated variants and population data.

Conclusions:

• The EP method provides a null expectation for evaluating selective forces.
• The method is applicable to both coding and noncoding sequences across species.
• This approach advances the analysis of genomic variation and evolutionary pressures.