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Part IV: CASE STUDIES: Using Human Genome Epidemiology Information to Improve Health hapter 22 Tables

Human Genome Epidemiology: A Scientific Foundation for Using Genetic Information to Improve Health and Prevent Disease

 

Immunogenetic Factors in Chronic Beryllium Disease

Erin C. McCanlies, Michael E. Andrew, Ainsley Weston


Table 22-1
Some Uses of Beryllium
Industry Uses
Application
Current (C) / Discontinued (D)
Aerospace
Engines
Braking systems
Structures
Rockets
Satellites
Gyroscopes
Precision tools
Mirrors (Hubble telescope)
D
D
C
C
C
C
C
C
Telecommunications
Undersea repeater housings
Cell phones
Personal computers
Transistor mountings
C
C
C
C
Energy/electrical
Relays and switches
Microelectronics
Microwave devices
Nuclear reactors
Fluorescent lights
C
C
C
C
D
Biomedical
X-ray tube window
Scanning electron microscope
Dental prostheses
(Crowns, bridges and partial dentures)
C
C
C
Defense
Tank mirrors
Springs on submarine hatches
Nuclear triggers
Missile guidance
Mast mounted sights
C
C
C
C
C
Fire prevention
Non-sparking tools
Sprinkler system springs
C
C
Other
Plastic molds
Laser tubes
Bellows (CuBe)
Springs
Formula 1 race car brakes
Valve seats
(drag racer engines)
Air-bag triggers
Jewelry (gems)
Jewelry (rings)
Golf clubs
Bicycle frames a
Camera shutters
Pen clips

C
C
C
C
D
C

C
C
C
C
C
C

aVery limited use.
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Table 22-2
Summary of HLA-DPB1 Genotyping Results
Allele/Marker
Cases
Controls
OR (95% CI)
D55, E56 (+)
26
18
D55, E56 (-)
7
26
5.4 (1.7 – 17.6)
E69 (+)
32
12
E69 (-)
1
32
85.3 (10.9 – 3,578.0)
*0201 (+)
10
4
*0201 (-)
23
40
4.3 (1.1 – 20.8)
*0401 (+)
5
21
*0401 (-)
28
23
0.2 (0.05 – 0.7)
Total (77)
33
44
Source: From Richeldi et al., 1993(1).

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Table 22-3
Odds of Chronic Beryllium Disease Associated with Machining Beryllium and Presence or Absence of HLA-DPB1E69*
Allele/Marker
Cases
Controls
OR (95% CI)
Machining (+)
5
42
Machining (-)
1
79
10.1 (1.1 – 93.7)
E69 (+)
5
36
E69 (-)
1
85
85.3 (10.9 – 3,578.0)
* Reference No.2

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Table 22-4
Disease Prevalence by HLA-DPB1E69* Machining
E69/Machining
Cases (N=6)*
Controls (N=121)
Prev. (95% CI)†
-/-
0
55
0.00 (0.00 – 0.06)
-/+
1
30
0.03 (0.00 – 0.17)
+/-
1
24
0.04 (0.00 – 0.20)
+/+
4
12
0.25 (0.07 – 0.52)
Source: Reference No.2

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