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. 2021 Jan 27;14:135–147. doi: 10.2147/PGPM.S272015

Table 1.

Distribution of CYP2C9*1 and *3 Allele (I359L) in Different Ethnic Populations.

Source Populations State/Geographical Region Latitude Longitude Linguistic Sample Size Missing Data (%) Allele Frequency HWE p-value
A (*1) C (*3)
Count Frequency (95%CI)a Count Frequency (95%CI)a
Current study Mahli Jharkhand 85 23.46 Austroasiatic 38 4 (10.526) 60 0.882 (0.781–0.948) 8 0.118 (0.052–0.219) 0.382
Gond Chattisgarh 81.6 19.87 Austroasiatic 37 8 (21.622) 56 0.966 (0.881–0.996) 2 0.034 (0.004–0.119) 7.24×10−8*
Kharia Chattisgarh 85.44 23.33 Austroasiatic 86 14 (16.279) 134 0.931 (0.876–0.966) 10 0.069 (0.034–0.124) 0.527
Gond Madhya Pradesh 77.4 26.12 Austroasiatic 38 7 (18.421) 56 0.903 (0.801–0.964) 6 0.097 (0.036–0.199) 0.551
Ho Jharkhand 85.33 23.35 Austroasiatic 67 2 (2.985) 110 0.846 (0.772–0.903) 20 0.154 (0.097–0.228) 0.660
Kolhas Andhra Pradesh 79.98 14.46 Dravidian 14 2 (14.286) 22 0.917 (0.73–0.99) 2 0.083 (0.01–0.27) 0.752
Adi Dravidar Tamil Nadu 77.73 11.35 Dravidian 15 1 (6.667) 23 0.821 (0.631–0.939) 5 0.179 (0.061–0.369) 0.416
Telaga Andhra Pradesh 83.53 18.17 Dravidian 12 0 (0) 18 0.75 (0.533–0.902) 6 0.25 (0.098–0.467) 5.32×10−4*
Thoti Andhra Pradesh 80.64 16.51 Dravidian 29 0 (0) 40 0.69 (0.555–0.805) 18 0.31 (0.195–0.445) 7.24×10−8*
Naidu Andhra Pradesh 79.6 13.22 Dravidian 21 11 (52.381) 19 0.95 (0.751–0.999) 1 0.05 (0.001–0.249) 0.868
Reddy Andhra Pradesh 78.48 17.37 Dravidian 24 1 (4.167) 40 0.87 (0.737–0.951) 6 0.13 (0.049–0.263) 0.472
Mudaliar Tamil Nadu 79.13 12.92 Dravidian 48 3 (6.25) 82 0.911 (0.832–0.961) 8 0.089 (0.039–0.168) 1.97×10−11*
Gammavokklu Karnataka 74.83 12.93 Dravidian 19 4 (21.053) 28 0.933 (0.779–0.992) 2 0.067 (0.008–0.221) 0.782
Vysya Andhra Pradesh 77.65 14.68 Dravidian 60 10 (16.667) 90 0.9 (0.824–0.951) 10 0.1 (0.049–0.176) 0.432
Gawli Karnataka 74.77 13.33 Dravidian 89 10 (11.236) 136 0.861 (0.797–0.911) 22 0.139 (0.089–0.203) 2.33×10−5*
Medari Andhra Pradesh 80.61 16.56 Dravidian 4 0 (0) 7 0.875 (0.473–0.997) 1 0.125 (0.003–0.527) 0.775
Madar Karnataka 75.05 15.33 Dravidian 70 9 (12.857) 111 0.91 (0.844–0.954) 11 0.09 (0.046–0.156) 2.07×10−12*
Patkar Andhra Pradesh 78.1 15.8 Dravidian 20 1 (5) 24 0.632 (0.46–0.782) 14 0.368 (0.218–0.54) 1.3×10−5*
Raj-Gond Madhya Pradesh 78.7 23.87 Dravidian 28 19 (67.857) 18 1 (0.815–1) 0 0 (0–0.185) 1
Adhiyan Tamil Nadu 79.41 13.72 Dravidian 44 4 (9.091) 77 0.963 (0.894–0.992) 3 0.038 (0.008–0.106) 0.805
Kurumba Tamil Nadu 79.09 12.94 Dravidian 15 2 (13.333) 24 0.923 (0.749–0.991) 2 0.077 (0.009–0.251) 0.764
Chenchu Andhra Pradesh 78.47 17.37 Dravidian 27 2 (7.407) 34 0.68 (0.533–0.805) 16 0.32 (0.195–0.467) 5.73×10−7*
Kurumba Madhya Pradesh 75.83 22.71 Dravidian 26 6 (23.077) 28 0.7 (0.535–0.834) 12 0.3 (0.166–0.465) 7.74×10−6*
Vaddera Andhra Pra desh 79.48 18.72 Dravidian 8 0 (0) 10 0.625 (0.354–0.848) 6 0.375 (0.152–0.646) 4.67×10−3*
Brahmin-Tiwari Uttar Pradesh 82.68 25.73 Indo-European 44 13 (29.545) 59 0.952 (0.865–0.99) 3 0.048 (0.01–0.135) 0.777
Kashmiri pandit Jammu and Kashmir 75.83 34.37 Indo-European 21 0 (0) 37 0.881 (0.744–0.96) 5 0.119 (0.04–0.256) 0.144
Bhil Gujarat 72.67 23.03 Indo-European 4 0 (0) 8 1 (0.631–1) 0 0 (0–0.369) 1
Gamit Gujrat 72.83 21.17 Indo-European 45 7 (15.556) 73 0.961 (0.889–0.992) 3 0.039 (0.008–0.111) 0.8
Tharu Uttarakhand 79.5 29.38 Indo-European 30 3 (10) 49 0.907 (0.797–0.969) 5 0.093 (0.031–0.203) 0.078
Warli Maharastra 72.95 19.17 Indo-European 70 7 (10) 111 0.881 (0.811–0.932) 15 0.119 (0.068–0.189) 0.283
Baiswar Uttar Pradesh 82.6 25.15 Indo-European 40 6 (15) 57 0.838 (0.729–0.916) 11 0.162 (0.084–0.271) 0.260
Pandit Haryana 76.87 29.96 Indo-European 40 12 (30) 47 0.839 (0.717–0.924) 9 0.161 (0.076–0.283) 4.41×10−6*
Bhilala Madhya Pradesh 75.3 22.6 Indo-European 49 9 (18.367) 71 0.888 (0.797–0.947) 9 0.113 (0.053–0.203) 0.018
Chakhesang_Naga Nagaland 94.48 26.12 Tibeto-Burman 33 19 (57.576) 28 1 (0.877–1) 0 0 (0–0.123) 1
Naga-sema Nagaland 93.81 25.7 Tibeto-Burman 40 21 (52.5) 35 0.921 (0.786–0.983) 3 0.079 (0.017–0.214) 0.708
Mizo Mizoram 92.83 23.2 Tibeto-Burman 23 7 (30.435) 29 0.906 (0.75–0.98) 3 0.094 (0.02–0.25) 0.679
Total South Asia 79.51 23.66 - 1278 224 (17.53) 1265b 0.905 (0.888–0.92)b 133b 0.095 (0.802–0.112)b 0.767b
South Asians
(NGS data repository)		 South Asians 79.51 23.66 - 210 – 360 0.86 (0.82–0.89) 60 0.14 (0.111–0.180) 0.58
1000
Genomes Project		 ACB Africa −59.61 13.19 - 96 – 191 0.995 (0.971–1) 1 0.005 (0–0.029) 0.959
ASW Africa −88.62 36.07 - 61 – 120 0.984 (0.942–0.998) 2 0.016 (0.002–0.058) 0.896
ESN Africa 3.33 6.53 - 99 – 198 1 (0.982–1) 0 0 (0–0.018) 1
GWD Africa −15.87 13.43 - 113 – 226 1 (0.984–1) 0 0 (0–0.016) 1
LWK Africa 34.76 0.60 - 99 – 198 1 (0.982–1) 0 0 (0–0.018) 1
MSL Africa −12.91 8.45 - 85 – 170 1 (0.979–1) 0 0 (0–0.021) 1
YRI Africa 3.83 7.42 - 108 – 216 1 (0.983–1) 0 0 (0–0.017) 1
CLM America −75.67 6.27 - 94 – 176 0.936 (0.891–0.967) 12 0.064 (0.033–0.109) 0.509
MXL America −99.08 19.30 - 64 – 125 0.977 (0.933–0.995) 3 0.023 (0.005–0.067) 0.848
PEL America −77.06 −12.06 - 85 – 168 0.988 (0.958–0.999) 2 0.012 (0.001–0.042) 0.913
PUR America −66.91 18.20 - 104 – 199 0.957 (0.919–0.980) 9 0.043 (0.020–0.081) 0.645
CDX East Asian 100.67 21.98 - 93 – 181 0.973 (0.938–0.991) 5 0.027 (0.009–0.062) 0.79
CHB East Asian 116.12 39.94 - 103 – 198 0.961 (0.925–0.983) 8 0.039 (0.017–0.075) 0.682
CHS East Asian 109.81 26.67 - 105 – 200 0.952 (0.914–0.977) 10 0.048 (0.023–0.086) 0.101
JPT East Asian 139.57 35.67 - 104 – 204 0.981 (0.951–0.995) 4 0.019 (0.005–0.049) 0.842
KHV East Asian 106.41 10.77 - 99 – 191 0.965 (0.929–0.986) 7 0.035 (0.014–0.071) 0.715
CEU European 3.42 46.72 - 99 – 185 0.934 (0.890–0.965) 13 0.066 (0.035–0.110) 0.484
FIN European 24.97 60.15 - 99 – 187 0.944 (0.903–0.972) 11 0.056 (0.028–0.097) 0.558
GBR European −0.16 51.49 - 91 – 169 0.929 (0.881–0.961) 13 0.071 (0.039–0.119) 0.463
IBS European −3.82 40.44 - 107 – 196 0.916 (0.870–0.949) 18 0.084 (0.051–0.130) 0.342
TSI European 12.48 41.94 - 107 – 196 0.916 (0.870–0.949) 18 0.084 (0.051–0.130) 0.760
BEB South Asia 90.39 23.65 Indo-European 86 – 152 0.884 (0.826–0.928) 20 0.116 (0.072–0.174) 0.222
GIH South Asia 72.44 23.02 Indo-European 103 – 179 0.869 (0.815–0.912) 27 0.131 (0.088–0.185) 0.506
ITU South Asia 78.48 17.39 Dravidian 102 – 183 0.897 (0.847–0.935) 21 0.103 (0.065–0.153) 0.931
PJL South Asia 72.91 33.67 Indo-European 96 – 173 0.901 (0.850–0.939) 19 0.099 (0.061–0.150) 0.945
STU South Asia 79.86 6.92 Dravidian 102 –- 184 0.902 (0.853–0.939) 20 0.098 (0.061–0.147) 0.272
GA projectc South Asians South Asia 73.45 27.36 NA 1448 – 1290 0.891 (0.874–0.907) 158 0.109 (0.094–0.126) 0.598

Notes: aConfidence interval was calculated using Clopper–Pearson method. bComputed after removing samples which were not in HWE. cGenomeAsia 100K project. *P-values for those populations which were not in Hardy–Weinberg equilibrium.