A map of constrained coding regions in the human genome

Area of Science:

• Genomics
• Human Genetics
• Evolutionary Biology

Background:

• Genetic variation data from large human populations can identify functionally important gene regions.
• Current methods for assessing genetic constraint often overlook regional variability within genes.

Purpose of the Study:

• To create a detailed map of constrained coding regions (CCRs) across the human genome.
• To investigate the relationship between CCRs and pathogenic variants, protein domains, and disease associations.

Main Methods:

• Leveraged human genetic variation data from the Genome Aggregation Database (123,136 individuals).
• Developed a high-resolution map of constrained coding regions (CCRs).
• Correlated CCRs with variant pathogenicity databases (ClinVar) and known disease mutations.

Main Results:

• Identified specific CCRs that are significantly enriched for pathogenic variants and mutations causing developmental disorders.
• Highlighted protein domain families under strong evolutionary constraint and suggested potential unannotated domains.
• CCRs proved valuable in prioritizing de novo mutations for autosomal dominant diseases.
• Discovered highly constrained CCRs in genes without previously known disease associations, suggesting potential roles in severe developmental phenotypes or embryonic lethality.

Conclusions:

• The detailed map of CCRs provides a valuable resource for understanding functional constraint within genes.
• CCRs can enhance the identification of disease-causing mutations and potentially uncover novel disease-associated genes.
• This approach refines our understanding of evolutionary pressures on the human genome and its implications for human health.