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Recent human evolution has shaped geographical differences in susceptibility to disease.
Urko M Marigorta1, Oscar Lao, Ferran Casals
1Institute of Evolutionary Biology (UPF-CSIC), PRBB, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain.
BMC Genomics
|January 26, 2011
Summary
Genetic associations with complex diseases show lower population differentiation than expected. Replicability differences between populations correlate with genetic differentiation, impacting disease risk variant interpretation.
Area of Science:
- Human genetics
- Population genetics
- Complex disease research
Background:
- Over two decades of research have identified over 51,000 genetic associations with complex diseases.
- Genome-Wide Association Studies (GWAS) have accelerated the discovery of potential disease-risk variants.
- Many identified variants fail replication, leading to concerns about false positives.
Purpose of the Study:
- To investigate global patterns of replicability for published genetic association studies.
- To analyze the relationship between genetic differentiation and disease-associated loci replicability across human populations.
Main Methods:
- Analysis of genetic differentiation across human populations for disease-associated genes.
- Correlation analysis between population genetic differentiation and replicability of disease loci.
- Comparison of allele frequencies in replicated versus non-replicated genes.
Main Results:
- Genes linked to complex diseases exhibit less genetic differentiation among populations than the genome-wide average.
- Replicability differences for disease loci between European and East Asian populations correlate with genetic differentiation.
- Highly replicated genes show higher frequencies of derived alleles in Europeans and Asians compared to Africans.
Conclusions:
- The genetic basis of complex diseases is heterogeneous.
- Recent human evolutionary history influences current disease susceptibility patterns.
- Some associations failing replication may not be false positives but reflect population-specific genetic architectures.
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