| Literature DB >> 29923122 |
Yoichi Kakuta1, Yosuke Kawai2,3, Daisuke Okamoto4, Tetsuya Takagawa5, Kentaro Ikeya6, Hirotake Sakuraba7, Atsushi Nishida8, Shoko Nakagawa9, Miki Miura10, Takahiko Toyonaga11, Kei Onodera12, Masaru Shinozaki13, Yoh Ishiguro14, Shinta Mizuno15, Masahiro Takahara16, Shunichi Yanai17, Ryota Hokari18, Tomoo Nakagawa19, Hiroshi Araki20, Satoshi Motoya21, Takeo Naito4, Rintaro Moroi4, Hisashi Shiga4, Katsuya Endo4, Taku Kobayashi11, Makoto Naganuma15, Sakiko Hiraoka16, Takayuki Matsumoto17, Shiro Nakamura5, Hiroshi Nakase12, Tadakazu Hisamatsu10, Makoto Sasaki9, Hiroyuki Hanai6, Akira Andoh8, Masao Nagasaki2, Yoshitaka Kinouchi22, Tooru Shimosegawa4, Atsushi Masamune4, Yasuo Suzuki23.
Abstract
BACKGROUND: Despite NUDT15 variants showing significant association with thiopurine-induced adverse events (AEs) in Asians, it remains unclear which variants of NUDT15 or whether additional genetic variants should be tested to predict AEs. To clarify the best pharmacogenetic test to be used clinically, we performed association studies of NUDT15 variants and haplotypes with AEs, genome-wide association study (GWAS) to discover additional variants, and ROC analysis to select the model to predict severe AEs.Entities:
Keywords: GWAS; Inflammatory bowel disease; NUDT15; Pharmacogenetics; Thiopurine
Mesh:
Substances:
Year: 2018 PMID: 29923122 PMCID: PMC6132901 DOI: 10.1007/s00535-018-1486-7
Source DB: PubMed Journal: J Gastroenterol ISSN: 0944-1174 Impact factor: 7.527
Fig. 1Flow of the analysis in this study. In total, 2630 patients with IBD were enrolled. All the patients were genotyped for NUDT15 codon 139. The number of patients exposed to thiopurines was 1291; additional genetic analyses were performed on 995 of these 1291 patients. This study consisted of five analyses: (analysis 1) association study of NUDT15 p.Arg139Cys with adverse events of other IBD drugs; (analysis 2) association analysis of NUDT15 codon 139 with thiopurine-induced adverse events; (analysis 3) diplotype-based association study of NUDT15 with thiopurines; (analysis 4) GWAS of thiopurine-induced adverse events; (analysis 5) ROC analysis to investigate the best model to predict thiopurine-induced severe AEs in Japanese patients with IBD
Associations between genotypes of codon 139 and adverse events associated with thiopurines
| Codon 139 genotypea | Arg/Arg | Arg/Cys | Cys/Cys | Allelic associationc (Arg vs. Cys) | ||
|---|---|---|---|---|---|---|
| OR (95% CI) | ||||||
| Number of subjects | 958 | 275 | 49 | |||
| All adverse events of thiopurines | 260 (27.1%) | 141 (51.3%) | 49 (100.0%) | 1.29E−32 | 1.55E−36 | 4.13 (3.28–5.20) |
| Leukopenia | 94 (9.8%) | 94 (34.2%) | 45 (91.8%) | 2.00E−56 | 2.20E−63 | 6.59 (5.19–8.36) |
| Severe (WBC < 2000/μL) | 17 (1.8%) | 33 (12.0%) | 38 (77.6%) | 3.09E−67 | 2.56E−75 | 13.1 (9.41–18.2) |
| Acute (< 8 weeks) | 14 (1.5%) | 27 (9.8%) | 39 (79.6%) | 7.06E−73 | 1.70E−80 | 15.6 (11.0–22.1) |
| Acute and severe | 3 (0.3%) | 11 (4.0%) | 33 (67.3%) | 2.62E−72 | 4.23E−80 | 34.2 (20.0–58.7) |
| Alopecia | 28 (2.9%) | 13 (4.7%) | 46 (93.9%) | 3.48E−62 | 1.32E−69 | 12.1 (8.67–16.8) |
| Severe (objective) | 1 (0.1%) | 3 (1.1%) | 44 (89.8%) | 8.51E−101 | 6.61E−113 | 141 (56.9–350) |
| Mild (self-reported) | 27 (2.8%) | 10 (3.6%) | 2 (4.1%) | 4.17E−01 | 4.83E−01 | |
| Liver dysfunction | 38 (4.0%) | 8 (2.9%) | 1 (2.0%) | 3.04E−01 | 3.44E−01 | |
| Pancreatitis | 18 (1.9%) | 2 (0.7%) | 0 (0.0%) | 1.06E−01 | 1.34E−01 | |
| Digestive symptoms | 55 (5.7%) | 31 (11.3%) | 6 (12.2%) | 9.55E−04 | 6.39E−04 | 1.89 (1.32–2.72) |
| Infection | 11 (1.1%) | 4 (1.5%) | 2 (4.1%) | 1.61E−01 | 2.11E−01 | |
| Fever | 10 (1.0%) | 3 (1.1%) | 0 (0.0%) | 6.82E−01 | 8.75E−01 | |
| Skin symptom | 5 (0.5%) | 2 (0.7%) | 0 (0.0%) | 9.79E−01 | 1.00 | |
| Malignant tumor | 1 (0.1%) | 0 (0.0%) | 1 (2.0%) | 5.91E−02 | 1.93E−01 | |
aRare genotypes (CH and RH) were excluded
bCochran–Armitage trend analysis
cChi-squared test
Fig. 2Time to leukopenia and the doses of AZA according to the genotype of NUDT15 codon 139. a Time to leukopenia after starting treatment with thiopurines is plotted in terms of the genotype. Average time to leukopenia in patients with the Cys/Cys and Arg/Cys genotypes was significantly shorter than that for those with the Arg/Arg genotype. b Doses of thiopurines at the time when severe leukopenia was diagnosed were plotted. The 6-MP dose was adjusted to AZA equivalents by multiplying by 2.08. The dose of the patients carrying the p.Arg139Cys allele was significantly lower than that of the patients with Arg/Arg. *p < 0.05, **p < 0.005
Associations between genotype of codon 139 and severe adverse events associated with thiopurines
| Genotype |
| All AEs | Acute severe leukopenia (WBC < 2000/μL, < 8 weeks) | Severe alopecia | ||||
|---|---|---|---|---|---|---|---|---|
| Frequencies (%) | Frequencies (%) | OR (95% CI) | Frequencies (%) | OR (95% CI) | ||||
| Arg/Arg (RR) | 958 | 258 (26.9%) | 3 (0.3%) | (reference) | 1.0 | 1 (0.1%) | (reference) | 1.0 |
| Arg/His (RH) | 7 | 2 (28.6%) | 0 (0%) | 9.90E−01 | – | 0 (0%) | 9.94E−01 | – |
| Arg/Cys (RC) | 275 | 135 (49.1%) | 11 (4.0%) | 7.43E−05 | 13.4 (3.7–48.4) | 3 (1.1%) | 4.16E−02 | 10.6 (1.1–101) |
| Cys/His (CH) | 2 | 2 (100.0%) | 1 (50.0%) | 1.62E−04 | 318 (15.9–6352) | 0 (0%) | 9.97E−01 | – |
| Cys/Cys (CC) | 49 | 49 (100.0%) | 33 (67.3%) | 7.30E−24 | 807 (219–2969) | 44 (89.8%) | 3.07E−16 | 8421 (963–73625) |
CI confidence interval
*Logistic regression test
Frequencies of adverse events by diplotype of NUDT15 and linear correlation to enzyme activity
| Diplotype | Estimated enzyme activity | Frequencies (2KJPN) | Frequencies (MENDEL) | Leukopenia (WBC < 3000/μL) | Severe leukopenia (WBC < 2000/μL) | Acute severe leukopenia (WBC < 2000/μL, < 8 weeks) | Severe alopecia |
|---|---|---|---|---|---|---|---|
| *1*1 | NN | 1615 (79.3%) | 697 (71.9%) | 71 (10.2%) | 12 (1.7%) | 3 (0.4%) | 0 (0.0%) |
| *1*2 | NL | 111 (5.5%) | 79 (8.1%) | 31 (39.2%) | 8 (10.1%) | 1 (1.3%) | 1 (1.3%) |
| *1*3 | NL | 248 (12.2%) | 125 (12.9%) | 31 (24.8%) | 16 (12.8%) | 9 (7.2%) | 2 (1.6%) |
| *1*4 | NI | 1 (0.049%) | 7 (0.72%) | 1 (14.3%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| *1*5 | NI | 30 (1.5%) | 17 (1.8%) | 4 (23.5%) | 1 (5.9%) | 0 (0.0%) | 0 (0.0%) |
| *1*6 | NI | 4 (0.20%) | 4 (0.41%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| *1*9 | NL | 0 (0.0%) | 1 (0.10%) | 1 (100.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| *1*10 | – | 1 (0.049%) | 0 (0.0%) | – | – | – | – |
| *2*2 | LL | 3 (0.15%) | 2 (0.21%) | 2 (100.0%) | 2 (100.0%) | 2 (100.0%) | 2 (100.0%) |
| *2*3 | LL | 7 (0.34%) | 16 (1.6%) | 16 (100.0%) | 15 (93.8%) | 14 (93.3%) | 16 (100.0%) |
| *2*4 | IL | 0 (0.0%) | 1 (0.10%) | 1 (100.0%) | 1 (100.0%) | 1 (100.0%) | 0 (0.0%) |
| *2*5 | IL | 0 (0.0%) | 1 (0.10%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| *2*9 | LL | 1 (0.049%) | 0 (0.0%) | – | – | – | – |
| *2*11 | – | 1 (0.049%) | 0 (0.0%) | – | – | – | – |
| *3*3 | LL | 12 (0.59%) | 17 (1.8%) | 15 (88.2%) | 11 (64.7%) | 9 (60.0%) | 16 (94.1%) |
| *3*4 | IL | 0 (0.0%) | 1 (0.10%) | 1 (100.0%) | 1 (100.0%) | 0 (0.0%) | 0 (0.0%) |
| *3*5 | IL | 1 (0.049%) | 2 (0.21%) | 1 (50.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| *5*5 | II | 1 (0.049%) | 0 (0.0%) | – | – | – | – |
| NN | 697 (71.86%) | 71 (10.2%) | 12 (1.7%) | 3 (0.4%) | 0 (0.0%) | ||
| NI | 28 (2.89%) | 5 (17.9%) | 1 (3.6%) | 0 (0.0%) | 0 (0.0%) | ||
| NL | 205 (21.13%) | 63 (30.7%) | 24 (11.7%) | 10 (4.9%) | 3 (1.5%) | ||
| IL | 5 (0.52%) | 3 (60.0%) | 2 (40.0%) | 1 (20.0%) | 0 (0.0%) | ||
| LL | 35 (3.61%) | 33 (94.3%) | 28 (80.0%) | 25 (71.4%) | 34 (97.1%) | ||
| Correlation analysis |
|
|
| 0.718 | 0.504 | ||
|
|
| 0.07 | 0.18 | ||||
Bold numbers indicate the significant correlations (p-values < 0.05)
NN normal and normal (1*1), NI normal and intermediate (*1*4, *1*5, *1*6), NL normal and low (*1*2, *1*3, *1*9), IL intermediate and low (*2*4, *2*5, *3*4, *3*5), LL low and low (*2*2, *2*3, *3*3)
Fig. 3Manhattan plots for results of the discovery and conditional GWASs for thiopurine-induced leukopenia and alopecia in Japanese individuals. Single-nucleotide polymorphisms are plotted according to chromosomal location, with the − log10(P) from the results of GWASs. The red line indicates the threshold for genome-wide significance (p = 1E−8). The blue line indicates the threshold for nominal significance (p = 1E−6). a GWAS for thiopurine-induced leukopenia, b conditional GWAS for leukopenia on rs116855232 (p.Arg139Cys), c GWAS for alopecia, and d conditional GWAS for alopecia on rs116855232. All significant associations disappeared in the conditional GWASs
Comparison of logistic regression models to predict thiopurine-induced leukopenia and severe alopecia
| Phenotype | Leukopenia (WBC < 3000/μL) | Severe leukopenia (WBC < 2000/μL) | Acute severe leukopenia | Severe alopecia | ||||
|---|---|---|---|---|---|---|---|---|
| Model | AUC (95%CI) | AUC (95 %CI) | AUC (95%CI) | AUC (95%CI) | ||||
| NUDT15_codon139 | 0.706 (0.665–0.748) | NA | 0.841 (0.786–0.896) | NA | 0.921 (0.869–0.972) | NA | 0.991 (0.981–1.000) | NA |
| NUDT15_haplotype | 0.722 (0.680–0.764) |
| 0.843 (0.789–0.898) | 0.706 | 0.916 (0.864–0.967) | 0.168 | 0.990 (0.979–1.000) | 0.972 |
| NUDT15_codon139 + ABCC4 | 0.724 (0.681–0.767) | 0.555 | 0.839 (0.777–0.901) | 0.966 | 0.924 (0.871–0.978) | 0.925 | ||
| NUDT15_codon139 + RUNX1 | 0.735 (0.691–0.779) | 0.358 | 0.858 (0.804–0.912) | 0.665 | 0.927 (0.876–0.979) | 0.858 | ||
| NUDT15_codon139 + ABCC4 + RUNX1 | 0.744 (0.701–0.787) | 0.217 | 0.856 (0.798–0.913) | 0.718 | 0.931 (0.879–0.983) | 0.790 | ||
| NUDT15_haplotype + ABCC4 | 0.736 (0.693–0.780) | 0.327 | 0.844 (0.783–0.904) | 0.949 | 0.923 (0.870–0.976) | 0.963 | ||
| NUDT15_haplotype + RUNX1 | 0.746 (0.702–0.790) | 0.194 | 0.861 (0.807–0.914) | 0.615 | 0.927 (0.876–0.978) | 0.870 | ||
| NUDT15_haplotype + ABCC4 + RUNX1 | 0.753 (0.710–0.796) | 0.127 | 0.859 (0.803–0.915) | 0.645 | 0.931 (0.881–0.982) | 0.775 | ||
Bold number indicate the significant correlations (p-value < 0.05)
*p values for comparison with AUC of NUDT15_codon139