Results 111 to 120 of about 41,400 (238)
Gene set enrichment in eQTL data identifies novel annotations and pathway regulators.
Genome-wide gene expression profiling has been extensively used to generate biological hypotheses based on differential expression. Recently, many studies have used microarrays to measure gene expression levels across genetic mapping populations.
Chunlei Wu +19 more
doaj +1 more source
Bayesian Genome-wide TWAS method to leverage both cis- and trans- eQTL information through summary statistics [PDF]
Justin M. Luningham +6 more
openalex +1 more source
It begins with the identification of malignant AT2 cells, progresses through pseudo‐time analysis and Mendelian randomization to identify prognostic genes, and leads into the construction and validation of the prognostic signature. The visual story also includes functional exploration through Gene Ontology enrichment analysis and protein–protein ...
Jiaye Lao +5 more
wiley +1 more source
TreeQTL: hierarchical error control for eQTL findings [PDF]
Christine B. Peterson +3 more
openalex +1 more source
Mitochondrial DNA Variation in the Aging Human Cerebral Cortex and Cerebellum
We used cerebellum and frontal cortex whole genome sequencing data from the North American Brain Expression Consortium to investigate mitochondrial DNA deletions, single nucleotide variants, and copy number. We found significant differences between brain regions and age effects for all these metrics, which illustrate mitochondrial changes in healthy ...
Audrey A. Omidsalar +13 more
wiley +1 more source
Joint analyses of multi-tissue Hi-C and eQTL data demonstrate close spatial proximity between eQTLs and their target genes [PDF]
Jingting Yu, Ming Hu, Chun Li
openalex +1 more source
Prioritizing candidate eQTL causal genes in Arabidopsis using RANDOM FORESTS [PDF]
Margi Hartanto +3 more
openalex +1 more source
The PbrMADS1–PbrMYB169 complex has uniquely emerged to regulate lignification of stone cells in pear
Genome‐wide association study in pear identified a SEP3‐subfamily transcription factor, PbrMADS1, which interacts with PbrMYB169 to regulate stone cell lignification. The methionine at position 63 in PbrMADS1 was essential for this interaction. This amino acid variation may underlie the functional divergence of homologous SEP3 genes among Rosaceae ...
Yongsong Xue +8 more
wiley +1 more source

