| Title: | The value of genetic data from 665,460 individuals in managing iron deficiency anaemia and suitability to donate blood |
| Journal: | Vox Sanguinis |
| Published: | 28 Nov 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38018286/ |
| DOI: | https://doi.org/10.1111/vox.13564 |
| URL: | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/vox.13564 |
Publication 8241
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Abstract
BACKGROUND AND OBJECTIVES: Although the genetic determinants of haemoglobin and ferritin have been widely studied, those of the clinically and globally relevant iron deficiency anaemia (IDA) and deferral due to hypohaemoglobinemia (Hb-deferral) are unclear. In this investigation, we aimed to quantify the value of genetic information in predicting IDA and Hb-deferral.</p>
MATERIALS AND METHODS: We analysed genetic data from up to 665,460 participants of the FinnGen, Blood Service Biobank and UK Biobank, and used INTERVAL (N = 39,979) for validation. We performed genome-wide association studies (GWASs) of IDA and Hb-deferral and utilized publicly available genetic associations to compute polygenic scores for IDA, ferritin and Hb. We fitted models to estimate the effect sizes of these polygenic risk scores (PRSs) on IDA and Hb-deferral risk while accounting for the individual's age, sex, weight, height, smoking status and blood donation history.</p>
RESULTS: Significant variants in GWASs of IDA and Hb-deferral appear to be a small subset of variants associated with ferritin and Hb. Effect sizes of genetic predictors of IDA and Hb-deferral are similar to those of age and weight which are typically used in blood donor management. A total genetic score for Hb-deferral was estimated for each individual. The odds ratio estimate between first decile against that at ninth decile of total genetic score distribution ranged from 1.4 to 2.2.</p>
CONCLUSION: The value of genetic data in predicting IDA or suitability to donate blood appears to be on a practically useful level.</p>
6 Authors
- Jarkko Toivonen
- Elias Allara
- FinnGen
- Johanna Castrén
- Emanuele di Angelantonio
- Mikko Arvas
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