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Candidate genes underlying the identified QTLs.
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创建时间:
2019-07-08
相关数据集
Number of associations and eQTL at various levels of significance threshold.
The study-wide significance threshold employed for our eQTL analysis is highlighted. The expected number of associations is the number of association that are expected to be observed under the null hy
NIAID Data Ecosystem90
Top three newly identified candidate genes reported by gene- ε for the six quantitative traits studied in the UK Biobank (using imputed genotypes with gene boundaries defined by the NCBI’s RefSeq database in the UCSC Genome Browser [27]).
We call these novel candidate genes because they are not listed as being associated with the trait of interest in either the GWAS catalog or dbGaP, and they have top posterior enrichment probabilities
NIAID Data Ecosystem60
Enriched pathway terms when comparing candidate genes to the whole genome using GeneMerge1.2.
This table describes significant pathway terms over-represented in core regions based on GeneMerge1.2 software. Pop-frec describes the frequency of genes in the population with this pathway, and CR-fr
NIAID Data Ecosystem40
Additional file 10 of Autosomal recessive loci contribute significantly to quantitative variation of male fertility in a dairy cattle population
Additional file 10. (TXT 17715 kb)
DataCite Commons2021-03-31 更新80
AA_hepatocyte_baseline_MatrixEQTL_significant_eQTLs
eQTL mapping summary statistics using 60 primary hepatocytes of AA ancestry with MatrixEQTL adjusting for sex, platform, batch, 1st PC and 10 PEER variables estimated from normalized expression values
Figshare2019-12-16 更新40



