01.12.2017 | Research article | Ausgabe 1/2017 Open Access

Investigation of DNA repair-related SNPs underlying susceptibility to papillary thyroid carcinoma reveals MGMT as a novel candidate gene in Belarusian children exposed to radiation
- Zeitschrift:
- BMC Cancer > Ausgabe 1/2017
Electronic supplementary material
Background
Methods
Study population
Cases
|
Controls
|
Total
|
|
---|---|---|---|
Gender
|
|||
Male
|
35 (42%)
|
127 (39%)
|
162
|
Female
|
48 (58%)
|
197 (61%)
|
245
|
Age at exposure
|
|||
< 1 y
|
9 (11%)
|
73 (22.5%)
|
82
|
1–1.9 y
|
14 (17%)
|
46 (14%)
|
60
|
2–2.9 y
|
9 (11%)
|
40 (12%)
|
49
|
3–3.9 y
|
17 (20%)
|
40 (12%)
|
57
|
4–4.9 y
|
9 (11%)
|
43 (13%)
|
52
|
5–5.9 y
|
4 (5%)
|
18 (5.5%)
|
22
|
6–9 y
|
13 (15%)
|
35 (11%)
|
48
|
10–14 y
|
8 (10%)
|
29 (10%)
|
37
|
Age at diagnosis
|
|||
< 11.5 y
|
24 (29%)
|
119 (37%)
|
143
|
11.5–14.9 y
|
33 (40%)
|
120 (37%)
|
153
|
15+ y
|
26 (31%)
|
85 (26%)
|
111
|
Genotyping
Selection of SNPs in DNA repair related genes
Statistical analyses
Results
SNP-based analysis
NER
|
BER
|
MMR
|
SSA
|
NHEJ
|
MMEJ
|
HR
|
FANCONI
|
DR
|
TLS
|
|
---|---|---|---|---|---|---|---|---|---|---|
NER
|
14
[30]
|
|||||||||
BER
|
8
[19]
|
17
[47]
|
||||||||
MMR
|
3
[9]
|
6
[21]
|
10
[47]
|
|||||||
SSA
|
1
[2]
|
1
[9]
|
2
[13]
|
4
[16]
|
||||||
NHEJ
|
-
|
1
[5]
|
-
|
-
|
4
[13]
|
|||||
MMEJ
|
5
[8]
|
3
[4]
|
2
[2]
|
1
[2]
|
-
|
7
[13]
|
||||
HR
|
-
|
2
[10]
|
1
[1]
|
1
[1]
|
1
[5]
|
2
[5]
|
13
[47]
|
|||
FANCONI
|
2
[4]
|
-
|
-
|
1
[2]
|
-
|
2
[4]
|
4
[21]
|
7
[34]
|
||
DR
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
-
|
1
[4]
|
|
TLS
|
1
[3]
|
1
[3]
|
1
[3]
|
-
|
-
|
-
|
2
[9]
|
3
[18]
|
-
|
4
[21]
|
Gene
|
DNA repair module
|
SNP
|
Nucleotide change
|
Location relative to gene
|
MAF in cases
|
MAF in controls
|
Genetic model
|
OR (95% CI)
a
|
P
a
|
P
corr
b
|
---|---|---|---|---|---|---|---|---|---|---|
MGMT
|
DR
|
rs2296675
|
A > G
|
Intronic
|
0.21
|
0.10
|
||||
Risk per G allele
c
|
2.54 (1.50, 4.30)
|
0.0006
|
0.05
|
|||||||
A/G + GG versus A/A
d
|
2.72 (1.48, 5.03)
|
0.001
|
0.13
|
|||||||
G/G versus A/G + AA
e
|
5.30 (1.25, 22.48)
|
0.02
|
1
|
|||||||
XRCC5
|
NHEJ
|
rs1051685
|
A > G
|
3’UTR
|
0.09
|
0.16
|
||||
Risk per G allele
c
|
0.39 (0.20, 0.78)
|
0.008
|
0.73
|
|||||||
A/G + GG versus A/A
d
|
0.39 (0.18, 0.83)
|
0.01
|
1
|
|||||||
G/G versus A/G + AA
e
|
N/A
|
N/A
|
N/A
|
|||||||
ERCC5
|
BER, NER
|
rs1047768
|
C > T
|
Coding (p.His46His)
|
0.49
|
0.39
|
||||
Risk per T allele
c
|
1.58 (1.06, 2.35)
|
0.02
|
1
|
|||||||
C/T + T/T versus C/C
d
|
1.89 (1.05, 3.42)
|
0.03
|
1
|
|||||||
T/T versus C/T + CC
e
|
1.80 (0.88, 3.66)
|
0.11
|
1
|
|||||||
PARP1
|
BER, HR, NHEJ
|
rs747659
|
C > T
|
Intergenic
|
0.12
|
0.18
|
||||
Risk per T allele
c
|
0.49 (0.26, 0.94)
|
0.03
|
1
|
|||||||
C/T + T/T versus C/C
d
|
0.49 (0.25, 0.97)
|
0.04
|
1
|
|||||||
T/T versus C/T + CC
e
|
N/A
|
N/A
|
N/A
|
|||||||
PCNA
|
BER, MMR, NER, TLS
|
rs17349
|
C > T
|
5’UTR
|
0.14
|
0.08
|
||||
Risk per T allele
c
|
1.98 (1.07, 3.68)
|
0.03
|
1
|
|||||||
C/T + T/T versus C/C
d
|
1.93 (0.96, 3.85)
|
0.06
|
1
|
|||||||
T/T versus C/T + CC
e
|
8.29 (0.88, 78.3)
|
0.06
|
1
|
|||||||
PMS2
|
MMR
|
rs3735295
|
G > A
|
Intronic
|
0.12
|
0.19
|
||||
Risk per A allele
c
|
0.52 (0.28, 0.97)
|
0.04
|
1
|
|||||||
G/A + A/A versus G/G
d
|
0.49 (0.24, 1.00)
|
0.05
|
1
|
|||||||
A/A versus G/A + A/A
e
|
0.33 (0.05, 2.07)
|
0.24
|
1
|
|||||||
OGG1
|
BER
|
rs125701
|
G > A
|
Intergenic
|
0.27
|
0.21
|
||||
Risk per A allele
c
|
1.65 (1.01, 2.68)
|
0.04
|
1
|
|||||||
G/A + A/A versus G/G
d
|
1.87 (1.03, 3.40)
|
0.04
|
1
|
|||||||
A/A versus G/A + A/A
e
|
1.73 (0.47, 6.37)
|
0.41
|
1
|
Gene-based analysis
Chr
|
Gene
|
Start
|
Stop
|
Number of tested SNPs
|
Number of simulations
|
Test
|
P
Gene
|
Best SNP
|
P
per allele
|
---|---|---|---|---|---|---|---|---|---|
10
|
MGMT
|
131,215,453
|
131,615,783
|
4
|
1e + 05
|
13.93
|
0.008
|
rs2296675
|
0.0006
|
13
|
ERCC5
|
103,448,190
|
103,578,351
|
2
|
1e + 06
|
9.39
|
0.01
|
rs1047768
|
0.02
|
20
|
PCNA
|
5,045,598
|
5,157,268
|
3
|
1e + 05
|
9.30
|
0.05
|
rs17349
|
0.03
|
7
|
PMS2
|
5,962,869
|
6,098,737
|
4
|
1000
|
8.70
|
0.09
|
rs3735295
|
0.04
|
1
|
PARP1
|
226,498,391
|
226,645,801
|
5
|
1000
|
11.05
|
0.11
|
rs747659
|
0.03
|
3
|
OGG1
|
9,741,627
|
9,858,353
|
2
|
1000
|
4.30
|
0.13
|
rs125701
|
0.05
|
2
|
XRCC5
|
216,924,019
|
217,121,016
|
4
|
1000
|
7.79
|
0.13
|
rs1051685
|
0.008
|