Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Pivot Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Target Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Query: UMLS:C0476089 (
endometrial cancer
)
11,379
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
Endometrial cancer
is the fourth most commonly diagnosed cancer in women. Family history is a known risk factor for
endometrial cancer
. The incidence of
endometrial cancer
in a first-degree relative elevates the relative risk to range between 1.3 and 2.8. It is unclear to what extent or what other novel germline variants are at play in
endometrial cancer
. We aim to address this question by utilizing whole exome sequencing as a means to identify novel, rare variant associations between exonic regions and
endometrial cancer
. The MyCode community health initiative is an excellent resource for this study with germline whole exome data for 60,000 patients available in the first phase, and further 30,000 patients independently sequenced in the second phase as part of DiscovEHR study. We conducted exome-wide rare variant association using 472 cases and 4,110 controls in 60,000 patients (discovery cohort); and 261 cases and 1,531 controls from 30,000 patients (replication cohort). After binning rare germline variants into genes, case-control association tests performed using Optimal Unified Approach for Rare-Variant Association, SKAT-O. Seven genes, including
RBM12, NDUFB6, ATP6V1A, RECK,
SLC35E1
, RFX3
(
Bonferroni-corrected P
< 0.05) and
ATP8A1
(suggestive
P
< 10
-5
), and one long non-coding RNA,
DLGAP4-AS1
(
Bonferroni-corrected P
< 0.05), were associated with
endometrial cancer
. Notably,
RECK
, and
ATP8A1
were replicated from the replication cohort (suggestive threshold
P
< 0.05). Additionally, a pathway-based rare variant analysis, using pathogenic and likely pathogenic variants, identified two significant pathways, pyrimidine metabolism and protein processing in the endoplasmic reticulum (
Bonferroni-corrected P
< 0.05). In conclusion, our results using the single-source electronic health records (EHR) linked to genomic data highlights candidate genes and pathways associated with
endometrial cancer
and indicates rare variants involvement in
endometrial cancer
predisposition, which could help in personalized prognosis and also further our understanding of its genetic etiology.
...
PMID:Exome-Wide Rare Variant Analysis From the DiscovEHR Study Identifies Novel Candidate Predisposition Genes for Endometrial Cancer. 3133 26