Back

TASTE identifies shared proteomic effects on multiple related cancers

2025-12-29 epidemiology Title + abstract only
View on medRxiv
Show abstract

IntroductionGenome-wide association studies (GWAS) have identified hundreds of variants linked to cancers, but their downstream regulatory consequences remain poorly understood. Increasing evidence suggests that related cancers share alterations of common regulatory programs. Trans-associations of cancer risk variants mediated via molecular phenotypes, such as gene expression and protein levels, can help uncover these downstream mechanisms. Further investigation of such convergence can reveal sh...

Predicted journal destinations

1
Nature Communications
483 training papers
Top 2% 19.2%
2
The American Journal of Human Genetics
77 training papers
Top 0.5% 15.9%
3
eLife
262 training papers
Top 1% 9.8%
4
Scientific Reports
701 training papers
Top 33% 7.0%
5
BMC Medicine
155 training papers
Top 10% 2.1%
6
PLOS Computational Biology
141 training papers
Top 6% 2.1%
7
Science
46 training papers
Top 1% 2.1%
8
PLOS ONE
1737 training papers
Top 91% 2.1%
9
Proceedings of the National Academy of Sciences
100 training papers
Top 4% 2.1%
10
Nature
58 training papers
Top 0.8% 2.1%
11
Nature Genetics
72 training papers
Top 6% 2.1%
12
PLOS Genetics
39 training papers
Top 2% 2.1%
13
International Journal of Epidemiology
65 training papers
Top 5% 1.7%
14
iScience
74 training papers
Top 4% 1.7%
15
eBioMedicine
82 training papers
Top 4% 1.5%
16
Nature Medicine
88 training papers
Top 8% 1.3%
17
International Journal of Cancer
18 training papers
Top 1.0% 1.3%
18
American Journal of Epidemiology
54 training papers
Top 7% 1.0%
19
Epidemics
96 training papers
Top 10% 0.8%
20
Communications Medicine
63 training papers
Top 6% 0.8%
21
Genome Medicine
56 training papers
Top 8% 0.8%
22
npj Digital Medicine
85 training papers
Top 19% 0.8%
23
Science Advances
52 training papers
Top 4% 0.8%
24
Journal of The Royal Society Interface
54 training papers
Top 5% 0.8%
25
European Journal of Epidemiology
36 training papers
Top 7% 0.5%