Back
Top 12%
11.9%
#1
10.2%
#1
7.9%
Top 0.7%
7.9%
Top 2%
7.9%
Top 15%
6.5%
Top 1%
6.5%
Top 84%
4.2%
Top 4%
4.2%
Top 4%
1.6%
Top 11%
1.6%
Top 2%
1.6%
Top 5%
1.6%
Top 11%
1.6%
Top 4%
1.5%
Top 14%
1.4%
Top 9%
1.4%
Top 2%
1.4%
Top 8%
1.2%
Top 39%
1.2%
Top 2%
1.0%
Top 12%
1.0%
Top 1%
0.7%
Top 10%
0.7%
Top 4%
0.7%
Overcome the Limitation of Phenome-Wide Association Studies (PheWAS): Extension of PheWAS to Efficient and Robust Large-Scale ICD Codes Analysis
2024-04-19
health informatics
Title + abstract only
View on medRxiv
Show abstract
The Phenome-wide association studies (PheWAS) have become widely used for efficient, high-throughput evaluation of relationship between a genetic factor and a large number of disease phenotypes, typically extracted from a DNA biobank linked with electronic medical records (EMR). Phecodes, billing code-derived disease case-control status, are usually used as outcome variables in PheWAS and logistic regression has been the standard choice of analysis method. Since the clinical diagnoses in EMR are...
Predicted journal destinations
1
Scientific Reports
701 training papers
2
Bioinformatics
24 training papers
3
PLOS Genetics
39 training papers
4
Journal of Biomedical Informatics
37 training papers
5
Journal of the American Medical Informatics Association
53 training papers
6
Nature Communications
483 training papers
7
JAMIA Open
35 training papers
8
PLOS ONE
1737 training papers
9
BMC Medical Informatics and Decision Making
36 training papers
10
JMIR Medical Informatics
16 training papers
11
Journal of Medical Internet Research
81 training papers
12
BMC Medical Research Methodology
41 training papers
13
Computers in Biology and Medicine
39 training papers
14
PLOS Digital Health
88 training papers
15
International Journal of Medical Informatics
25 training papers
16
npj Digital Medicine
85 training papers
17
PLOS Computational Biology
141 training papers
18
Communications Medicine
63 training papers
19
iScience
74 training papers
20
eLife
262 training papers
21
Patterns
15 training papers
22
Nature Medicine
88 training papers
23
Journal of Personalized Medicine
17 training papers
24
Nature Genetics
72 training papers
25
Frontiers in Digital Health
18 training papers