Summary
This review synthesises evidence on the polygenic nature of common diseases revealed by human genome sequencing, demonstrating that disease risk typically arises from many genomic loci of small individual effect. The authors emphasise that cumulative polygenic risk scores, combined with environmental factors, can stratify individuals by disease susceptibility, enabling more targeted prevention and early intervention strategies. Most risk variants operate through noncoding regions regulating cell- and tissue-specific gene expression rather than through protein-coding changes.
Regional applicability
The findings are globally applicable to United Kingdom clinical and public health practice, particularly for precision medicine and disease prevention strategies. UK biobanks and NHS implementation of polygenic risk scores in primary care could benefit from these architectural principles, though effect sizes and allele frequencies may vary by ancestry, requiring careful validation in diverse UK populations.
Key measures
Genomic variant frequency, effect size distribution of risk loci, polygenic (risk) score predictive capacity, proportion of risk variants in noncoding regulatory regions
Outcomes reported
The study examined the genetic architecture underlying common diseases, characterising the number of genomic variants contributing to disease risk, their frequency distributions, and effect sizes. It evaluated how polygenic risk scores—aggregating cumulative effects of multiple risk alleles—can identify individuals at increased disease risk for prevention and early intervention.
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