Abstract
Polygenic scores (PGSs) combine the effects of common genetic variants1,2 to predict risk or treatment strategies for complex diseases3–7. Adding rare variation to PGSs has largely unknown benefits and is methodically challenging. Here, we developed a method for constructing rare variant PGSs and applied it to calculate genetically modified hemoglobin A1C thresholds for type 2 diabetes (T2D) diagnosis7–10. The resultant rare variant PGS is highly polygenic (21,293 variants across 154 genes), depends on ultra-rare variants (72.7% observed in fewer than three people) and identifies significantly more undiagnosed T2D cases than expected by chance (odds ratio = 2.71; P = 1.51 × 10−6). A PGS combining common and rare variants is expected to identify 4.9 million misdiagnosed T2D cases in the United States—nearly 1.5-fold more than the common variant PGS alone. These results provide a method for constructing complex trait PGSs from rare variants and suggest that rare variants will augment common variants in precision medicine approaches for common disease.
Original language | English (US) |
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Pages (from-to) | 1609-1614 |
Number of pages | 6 |
Journal | Nature genetics |
Volume | 54 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2022 |
Externally published | Yes |
ASJC Scopus subject areas
- Genetics