Back

A novel computational methodology for GWAS multi-locus analysis based on graph theory and machine learning

2021-10-26 epidemiology Title + abstract only
View on medRxiv
Show abstract

BackgroundCurrent form of genome-wide association studies (GWAS) is inadequate to accurately explain the genetics of complex traits due to the lack of sufficient statistical power. It explores each variant individually, but current studies show that multiple variants with varying effect sizes actually act in a concerted way to develop a complex disease. To address this issue, we have developed an algorithmic framework that can effectively solve the multi-locus problem in GWAS with a very high le...

Predicted journal destinations

1
Scientific Reports
701 training papers
Top 1% 23.7%
2
PLOS ONE
1737 training papers
Top 51% 12.6%
3
PLOS Genetics
39 training papers
#1 8.3%
4
PLOS Computational Biology
141 training papers
Top 5% 3.0%
5
eLife
262 training papers
Top 19% 2.1%
6
Frontiers in Genetics
32 training papers
Top 0.8% 2.0%
7
Computers in Biology and Medicine
39 training papers
Top 4% 1.7%
8
Nature Communications
483 training papers
Top 41% 1.7%
9
Nature Genetics
72 training papers
Top 7% 1.7%
10
Bioinformatics
24 training papers
Top 1% 1.2%
11
Infectious Disease Modelling
50 training papers
Top 5% 1.2%
12
BMC Medical Research Methodology
41 training papers
Top 6% 1.0%
13
International Journal of Epidemiology
65 training papers
Top 9% 1.0%
14
BMC Genomics
15 training papers
Top 0.2% 1.0%
15
Journal of Theoretical Biology
29 training papers
Top 3% 1.0%
16
BMC Public Health
148 training papers
Top 29% 0.8%
17
Proceedings of the National Academy of Sciences
100 training papers
Top 19% 0.8%
18
Epidemiology and Infection
80 training papers
Top 14% 0.8%
19
Science
46 training papers
Top 7% 0.8%
20
Royal Society Open Science
49 training papers
Top 6% 0.8%
21
npj Digital Medicine
85 training papers
Top 20% 0.8%
22
Epidemics
96 training papers
Top 10% 0.8%
23
European Journal of Epidemiology
36 training papers
Top 5% 0.8%
24
European Journal of Human Genetics
25 training papers
Top 6% 0.8%
25
Frontiers in Public Health
135 training papers
Top 32% 0.8%
26
BMC Medicine
155 training papers
Top 32% 0.8%
27
Communications Medicine
63 training papers
Top 6% 0.8%
28
Chaos, Solitons & Fractals
17 training papers
Top 2% 0.8%
29
Journal of The Royal Society Interface
54 training papers
Top 7% 0.5%