| Title: | Causal associations between risk factors and common diseases inferred from GWAS summary data |
| Journal: | Nat Commun |
| Published: | 15 Jan 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/29335400/ |
| DOI: | https://doi.org/10.1038/s41467-017-02317-2 |
Publication 3085
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Abstract
We develop and apply a method (called GSMR) that performs a multi-SNP Mendelian randomization analysis using summary-level data from genome-wide association studies to test the causal associations of BMI, waist-to-hip ratio, serum cholesterols, blood pressures, height, and years of schooling (EduYears) with common diseases (sample sizes of up to 405,072). We identify a number of causal associations including a protective effect of LDL-cholesterol against type-2 diabetes (T2D) that might explain the side effects of statins on T2D, a protective effect of EduYears against Alzheimer s disease, and bidirectional associations with opposite effects (e.g., higher BMI increases the risk of T2D but the effect of T2D on BMI is negative).1 Author
- Zhu Z et al.
1 Application
| Application ID | Title |
|---|---|
| 12514 | The limits of predicting complex traits and diseases from genetic data |
Enabling scientific discoveries that improve human health