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Colocalization of GWAS and eQTL signals at loci with multiple signals identifies additional candidate genes for body fat distribution
Integration of genome-wide association study (GWAS) signals with expression quantitative trait loci (eQTL) studies enables identification of candidate genes. However, evaluating whether nearby signals may share causal variants, termed colocalization, is affected by the presence of allelic heterogene...
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| Gepubliceerd in: | Hum Mol Genet |
|---|---|
| Hoofdauteurs: | , , , , , , , , , , , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7202621/ https://ncbi.nlm.nih.gov/pubmed/31691812 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/hmg/ddz263 |
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