Table 4 Association between the human GEO deposits’ technology used (high-throughput sequencing vs. others) and their corresponding disease area (related to a major disease area or unclassified) from 2008 to 2017

From: Trends in the characteristics of human functional genomic data on the gene expression omnibus, 2001–2017

 

High-throughput sequencing

Other technology

   

Year

Related to major disease area

Unclassified

Related to major disease area

Unclassified

OR

95% CI

P value

2008

15

6

720

428

1.49

0.57–3.86

0.499

2009

29

20

940

610

0.94

0.53–1.68

0.882

2010

81

71

1119

755

0.77

0.55–1.07

0.123

2011

149

116

1433

950

0.85

0.66–1.10

0.235

2012

211

202

1659

1016

0.64

0.52–0.79

2.99E-05

2013

280

313

1777

1144

0.58

0.48–0.69

1.39E-09

2014

466

497

1838

1201

0.61

0.53–0.71

5.32E-11

2015

644

571

1981

1355

0.77

0.68–0.88

1.27E-04

2016

1041

2079

1834

1193

0.33

0.29–0.36

1.31E-102

2017

1201

3425

1633

1636

0.35

0.32–0.39

6.76E-106

Total

4117 (11.2%)

7300 (19.9%)

14934 (40.8%)

10288 (28.1%)

0.39

0.37–0.41

1.00E-322

  1. Note: Odds ratio (OR) represents the odds that a high-throughput sequencing study produced a disease-specific GEO deposit. The six major disease areas were cancer, cardiovascular diseases, diabetes, immunologic diseases, infectious diseases, and neurologic diseases, while all deposits not fit in any of the six disease areas were categorized as unclassified. No deposits using HTS were identified in the GEO prior to 2008. HTS high-throughput sequencing; CI confidence intervals