Table 2 Identified alleles in pharmacogenes and the carrier frequency of associated actionable phenotypes among Singaporeans in the SG10K_Health cohort

From: Analysis of clinically relevant variants from ancestrally diverse Asian genomes

Gene

Risk allele(s)

Phenotype

No. risk allele carriers/Total individuals genotyped (%)

   

CH

IND

MY

All

CACNA1S

decreased func.: rs772226819

MHS

0/5377

0/1891

1/1571 (0.1%)

1/8839 (0.01%)

CFTR

rs115545701, rs202179988, rs78769542, rs74503330

Responsive to ivacaftor

9/5239 (0.2%)

15/1796 (0.8%)

7/1509 (0.5%)

31/8544 (0.4%)

CYP2B6

increased func.: *4, *22

UM

53/5452 (1.0%)

12/1926 (0.6%)

3/1594 (0.2%)

68/8972 (0.8%)

 

decreased func.: *6, *7, *9, *19, *26, *36

RM

596/5452 (10.9%)

124/1926 (6.4%)

68/1594 (4.3%)

788/8972 (8.8%)

 

no func.: *8, *12, *13, *18, *24

IM

1690/5452 (31.0%)

819/1926 (42.5%)

705/1594 (44.2%)

3214/8972 (35.8%)

  

PM

315/5452 (5.8%)

320/1926 (16.6%)

257/1594 (16.1%)

892/8972 (9.9%)

CYP2C9

decreased func.: *2, *8, *11, *14, *16, *29, *31, *37, *44, *50, *55

IM

408/5452 (7.5%)

440/1926 (22.9%)

119/1595 (7.5%)

967/8973 (10.8%)

 

no func.: *3, *13, *33,*39, *42, *45, *52

PM

14/5452 (0.3%)

50/1926 (2.6%)

5/1595 (0.3%)

69/8973 (0.8%)

CYP2C19

increased func.: *17

UM/RM

51/5452 (0.9%)

280/1926 (14.5%)

54/1595 (3.4%)

385/8973 (4.3%)

 

decreased func.: *10, *16, *26

IM

2434/5452 (44.6%)

881/1926 (45.7%)

619/1595 (38.8%)

3934/8973 (43.8%)

 

no func.:*2, *3, *4, *5, *6, *8, *24, *35

PM

765/5452 (14.0%)

326/1926 (16.9%)

140/1595 (8.8%)

1231/8973 (13.7%)

CYP2D6

increased func.: *1 × 2, *1 × 3, *2 × 2

UM

51/3870 (1.3%)

39/1481 (2.6%)

13/1124 (1.2%)

103/6475 (1.6%)

 

decreased func.: *9, *10, *10 × 2, *10 × 2 + *83, *14, *17, *29, *41, *49, *49 × 2, *36-*10, *36 × 2-*10, *36 × 2-*10-*83, *36 + *10 × 2 + *83

IM

1667/3870 (43.1%)

366/1481 (24.7%)

413/1124 (36.7%)

2446/6475 (37.8%)

 

no func.: *3, *4, *4 N, *4 + *4 N, *4 + *68, *5, *6, *7, *13, *15, *21, *21 × 2, *31, *36, *36 × 2, *36 × 3, *68, *69, *99, *101, *114

PM

110/3870 (2.8%)

55/1481 (3.7%)

66/1124 (5.9%)

231/6475 (3.6%)

CYP3A4

decreased func.: *22

Decreased metabolism

0/5452

18/1926 (0.9%)

6/1595 (0.4%)

24/8973 (0.3%)

CYP3A5

normal func.: *1

NM

534/5448 (9.8%)

291/1917 (15.2%)

251/1562 (16.1%)

1076/8927 (12.1%)

 

no func.: *3, *6, *7

IM

2029/5448 (37.2%)

765/1917 (39.9%)

706/1562 (45.2%)

3500/8927 (39.2%)

  

PM

2688/5448 (49.3%)

844/1917 (44.0%)

589/1562 (37.7%)

4121/8927 (46.2%)

CYP4F2

decreased func.: rs2108622

Increased warfarin dose requirement

2178/5283 (41.2%)

1252/1839 (68.1%)

531/1548 (34.3%)

3961/8670 (45.7%)

DPYD

decreased func.: HapB3, rs186169810, rs112766203

IM

39/5445 (0.7%)

82/1915 (4.3%)

4/1562 (0.3%)

125/8922 (1.4%)

 

no func.: *2, *8, rs72549304, rs59086055, rs138616379, rs55674432, rs72549308, rs3918290

PM

0/5445

0/1915

1/1562 (0.1%)

1/8922 (0.01%)

F5

rs6025

Increased risk of VTE

2/5378 (0.04%)

44/1872 (2.4%)

6/1565 (0.4%)

52/8815 (0.6%)

G6PD

WHO Class II, III deficient alleles a

Deficient

53/5502 (1.0%)

18/1941 (0.9%)

16/1608 (1.0%)

87/9051 (1.0%)

  

Variable

179/5502 (3.3%)

34/1941 (1.8%)

44/1608 (2.7%)

257/9051 (2.8%)

HLA-A

deficient: A*31:01:02

Increased risk of SCAR

147/5468 (2.7%)

99/1919 (5.2%)

11/1596 (0.7%)

257/8983 (2.9%)

HLA-B

deficient: B*15:02:01, B*58:01

Increased risk of SCAR

1452/5468 (26.6%)

200/1918 (10.4%)

441/1596 (27.6%)

2093/8982 (23.3%)

 

deficient: B*57:01:01

Abacavir hypersensitivity

33/5468 (0.6%)

265/1918 (13.8%)

28/1596 (1.8%)

326/8982 (3.6%)

IFNL3

decreased response: rs12979860, rs8099917

Decreased response to peginterferon alfa-2a/2b

620/5168 (12.0%)

750/1801 (41.6%)

197/1520 (13.0%)

1567/8489 (18.5%)

IFNL4

decreased response: rs12979860, rs11322783

Decreased response to peginterferon alfa-2a/2b

603/5079 (11.9%)

748/1768 (42.3%)

198/1521 (13.0%)

1549/8368 (18.5%)

NAT2

rapid allele: *4

Rapid acetylator

1452/5452 (26.6%)

119/1925 (6.2%)

248/1595 (15.6%)

1819/8972 (20.3%)

 

slow allele: *5, *6, *6 A, *7, *7B

Intermediate acetylator

2252/5452 (41.3%)

340/1925 (17.7%)

537/1595 (33.7%)

3129/8972 (34.9%)

  

Slow acetylator

1015/5452 (18.6%)

404/1925 (21.0%)

390/1595 (24.5%)

1809/8972 (20.2%)

NUDT15

no func.: rs116855232

IM

1037/5362 (19.3%)

265/1883 (14.1%)

183/1560 (11.7%)

1485/8805 (16.9%)

  

PM

52/5362 (1.0%)

13/1883 (0.7%)

13/1560 (0.8%)

78/8805 (0.9%)

RYR1

increased func.: rs112563513, rs121918593, rs118192168

MHS

4/4947 (0.1%)

1/1727 (0.1%)

0/1486

5/8160 (0.1%)

SLCO1B1

decreased func.: rs4149056

Intermediate risk of statin-related myopathy

1092/5366 (20.4%)

268/1896 (14.1%)

250/1575 (15.9%)

1610/8837 (18.2%)

  

Increased risk of statin-related myopathy

69/5366 (1.3%)

2/1896 (0.1%)

11/1575 (0.7%)

82/8837 (0.9%)

TPMT

no func.: *3, *3 A, *3 C, *29

IM

124/4297 (2.9%)

32/1245 (2.6%)

52/1206 (4.3%)

208/6748 (3.1%)

  

PM

0/4297

1/1245 (0.1%)

3/1206 (0.3%)

4/6748 (0.1%)

UGT1A1

increased func.: *3

IM

1737/4341 (40.0%)

809/1492 (54.2%)

332/1201 (27.6%)

2878/7034 (40.9%)

 

decreased func.: *6, *28, *37, *80 + *28, *80 + *37

PM

140/4341 (3.2%)

259/1492 (17.4%)

16/1201 (1.3%)

415/7034 (5.9%)

VKORC1

rs9923231, rs7294, rs2359612, rs9934438

Higher warfarin sensitivity

4569/4630 (98.7%)

428/1507 (28.4%)

1282/1348 (95.1%)

6279/7485 (83.9%)

  1. aG6PD risk alleles: (WHO Class II) Canton, Chatham, CoimbraShunde, Kaiping, Maewo, Mediterranean, Namouru, Nankang, Nilgiri, Valladolid, Viangchan_Jammu; (WHO Class III) Asahi, Chinese-5, Gaohe, Hammersmith, Kalyan-Kerala, Mahidol, Montalbano, Nanning, Orissa, QuingYan, UbeKonan.
  2. Abbreviations
  3. CH Chinese, IND Indian, MY Malay, IM intermediate metabolizer, NM normal metabolizer, PM poor metabolizer, RM rapid metabolizer, UM ultrarapid metabolizer, func. function, MHS Malignant hyperthermia susceptibility SCAR Severe Cutaneous Adverse Reactions, VTE venous thromboembolism.