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Case-case genome-wide association studies (GWAS) within a single genotyped cohort have proven useful in identifying genetic variants explaining different health outcomes, yet they are limited by data availability. A new study by Peyrot and Price proposes a clever statistical method to overcome this problem by inferring case-case GWAS results from a pair of standard case-control GWAS summary statistics that need not be from the same cohort.
| Original language | English |
|---|---|
| Journal | Nature Genetics |
| Volume | 53 |
| Issue | 4 |
| Pages (from-to) | 431-432 |
| ISSN | 1061-4036 |
| DOIs |
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| Publication status | Published - Apr 2021 |
Copyright:
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ID: 215940908