BigBrain: Genetic analysis of gene expression in 10,725 human brain transcriptomes
Authors/Creators
Description
The genetic regulation of the human brain is not completely understood. GWAS studies have shown that a majority of trait-associated variants reside in the non-coding genome. To study the effect of these variants on the brain, we assembled a multi-ancestry multi-tissue resource of paired RNA-DNA data from 4,656 individuals across 10,725 samples from publicly available cohorts. Using a mixed model that accounts for sample overlaps, diverse ancestry, and effect size heterogeneity across tissues, we mapped cis-eQTLs. We found that the meta-analysis significantly boosted discovery compared to individual cohorts helping us find 22,663 eGenes.
Files
Files
(17.1 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:5ab603427954d7a28b492a554a0594ec
|
9.0 GB | Download |
|
md5:65b252344a3d4408b85142530102e7e7
|
2.3 MB | Download |
|
md5:9f8d789a4c7d88408fb17bb8662e168e
|
11.8 MB | Download |
|
md5:630e81e71a720b99e8bb51d8fb33ec94
|
72.5 kB | Download |
|
md5:2b712505f7c8a921f027d26ffec5daaf
|
8.0 GB | Download |
|
md5:a39ecb068a1ed53c4243cd9509d4246b
|
2.3 MB | Download |
|
md5:15cdc61afdc3f993ccb22e7465fa45f6
|
11.8 MB | Download |
|
md5:08fdb8ce8cedd23774d9d16bf950f91d
|
10.5 MB | Download |
|
md5:20d0b73cae5e42a7ddb66a0e568620f4
|
2.6 MB | Download |