Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
Xue AL; Jiang LD; Deary IJ; Marioni RE; Zhu ZH; Yengo L; McRae AF; Qi T; Montgomery GW; Yang J; Wu Y; Wray NR; Zeng J; Kemper K; Zheng ZL; eQTLGen Consortium; Zhang FT; Visscher PM
Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
Xue AL
Jiang LD
Deary IJ
Marioni RE
Zhu ZH
Yengo L
McRae AF
Qi T
Montgomery GW
Yang J
Wu Y
Wray NR
Zeng J
Kemper K
Zheng ZL; eQTLGen Consortium
Zhang FT
Visscher PM
NATURE PUBLISHING GROUP
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042719380
https://urn.fi/URN:NBN:fi-fe2021042719380
Tiivistelmä
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) over cap (b) = 0.70 for ciseQTLs and (r) over cap (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.
Kokoelmat
- Rinnakkaistallenteet [19207]