Accounting for heterogeneity due to environmental sources in meta-analysis of genome-wide association studies
Abstract Meta-analysis of genome-wide association studies (GWAS) across diverse populations offers power gains to identify loci associated with complex traits and diseases. Often heterogeneity in effect sizes across populations will be correlated with genetic ancestry and environmental exposures (e....
I tiakina i:
| Ngā kaituhi matua: | , , , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Nature Portfolio
2024-11-01
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| Rangatū: | Communications Biology |
| Urunga tuihono: | https://doi.org/10.1038/s42003-024-07236-9 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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