Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
Understanding the difference in genetic regulation of gene expression between brain and blood is important for discovering genes for brain-related traits and disorders. Here, we estimate the correlation of genetic effects at the top-associated cis-expression or -DNA methylation (DNAm) quantitative trait loci (cis-eQTLs or cis-mQTLs) between brain and blood (r b ). Using publicly available data, we find that genetic effects at the top cis-eQTLs or mQTLs are highly correlated between independent brain and blood samples (r b = 0.70 for cis-eQTLs and r ^ b = 0.78 for cis-mQTLs). Using meta-analyze... Mehr ...
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| Dokumenttyp: | Artikel |
| Erscheinungsdatum: | 2018 |
| Reihe/Periodikum: | Qi , T , Wu , Y , Zeng , J , Zhang , F , Xue , A , Jiang , L , Zhu , Z , Kemper , K , Yengo , L , Zheng , Z , van Dongen , J & eQTLGen Consortium 2018 , ' Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood ' , Nature Communications , vol. 9 , no. 1 , 2282 . https://doi.org/10.1038/s41467-018-04558-1 |
| Schlagwörter: | /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR) |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-26844502 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://research.vu.nl/en/publications/9815fb67-5278-4e48-b181-dea9ed85b2b6 |
Understanding the difference in genetic regulation of gene expression between brain and blood is important for discovering genes for brain-related traits and disorders. Here, we estimate the correlation of genetic effects at the top-associated cis-expression or -DNA methylation (DNAm) quantitative trait loci (cis-eQTLs or cis-mQTLs) between brain and blood (r b ). Using publicly available data, we find that genetic effects at the top cis-eQTLs or mQTLs are highly correlated between independent brain and blood samples (r b = 0.70 for cis-eQTLs and r ^ b = 0.78 for cis-mQTLs). Using meta-analyzed brain cis-eQTL/mQTL data (n = 526 to 1194), we identify 61 genes and 167 DNAm sites associated with four brain-related phenotypes, most of which are a subset of the discoveries (97 genes and 295 DNAm sites) using data from blood with larger sample sizes (n = 1980 to 14,115). Our results demonstrate the gain of power in gene discovery for brain-related phenotypes using blood cis-eQTL/mQTL data with large sample sizes.