Table 1.
First author | Year | Country | Ethnicity | Children/adults | Diagnose | Genotype distribution | Allele frequency | P‐value HWE | Number of cases/controls | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cases | Controls | Cases | Controls | |||||||||||||||
SBP | DBP | CC | CT | TT | CC | CT | TT | C | T | C | T | |||||||
Nishio22 | 1996 | Japan | Asian | Adults | >140 mm Hg | >90 mm Hg | 29 | 44 | 9 | 16 | 26 | 5 | 102 | 62 | 58 | 36 | .24 | 82/47 |
Nakata23 | 1998 | Japan | Asian | Adults | >160 mm Hg | >95 mm Hg | 63 | 91 | 19 | 65 | 83 | 36 | 217 | 129 | 213 | 155 | .31 | 173/184 |
Powers24 | 1999 | United States | American | Adults | ≥140 mm Hg | ≥90 mm Hg | 46 | 58 | 18 | 54 | 46 | 14 | 150 | 94 | 154 | 74 | .39 | 122/114 |
Zusterzeel29 | 2000 | Netherlands | White | Adults | — | ≥90 mm Hg | 32 | 33 | 11 | 205 | 162 | 36 | 97 | 55 | 572 | 234 | .62 | 76/403 |
Zhan28 | 2000 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 44 | 68 | 15 | 62 | 84 | 24 | 156 | 98 | 208 | 132 | .60 | 127/170 |
Rajkovic27 | 2000 | United States | American | Adults | ≥140 mm Hg | ≥90 mm Hg | 142 | 28 | 1 | 151 | 32 | 0 | 312 | 30 | 334 | 32 | .19 | 171/183 |
Li26 | 2000 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 14 | 31 | 17 | 46 | 32 | 12 | 59 | 65 | 124 | 56 | .11 | 62/90 |
Kobashi25 | 2000 | Japan | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 64 | 98 | 22 | 83 | 99 | 33 | 226 | 142 | 265 | 165 | .70 | 184/215 |
Benes30 | 2001 | Czech | White | Adults | ≥140 mm Hg | ≥90 mm Hg | 73 | 93 | 27 | 86 | 106 | 17 | 239 | 147 | 278 | 140 | .05 | 193/209 |
Kahleova31 | 2002 | Czech | White | Children and Adolescents | ≥90a | — | 82 | 55 | 27 | 86 | 69 | 18 | 219 | 109 | 241 | 105 | .46 | 164/173 |
Wang32 | 2002 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 17 | 51 | 37 | 14 | 23 | 9 | 85 | 125 | 51 | 41 | .94 | 105/46 |
Rodriguez‐Esparragon33 | 2003 | Spain | White | Adults | >140 mm Hg | >90 mm Hg | 83 | 115 | 34 | 95 | 100 | 20 | 281 | 183 | 290 | 140 | .39 | 232/215 |
Sun34 | 2003 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 6 | 22 | 27 | 14 | 23 | 9 | 34 | 76 | 51 | 41 | .94 | 55/46 |
Yilmaz35 | 2004 | Turkey | White | Adults | >140 mm Hg | >110 mm Hg | 29 | 28 | 7 | 24 | 17 | 6 | 86 | 42 | 65 | 29 | .30 | 64/47 |
Heux9 | 2004 | Australia | White | Adults | >140 mm Hg | >95 mm Hg | 87 | 125 | 35 | 105 | 119 | 25 | 299 | 195 | 329 | 169 | .30 | 247/249 |
Frederiksen17 | 2004 | Denmark | White | Adults | — | — | 576 | 555 | 136 | 3853 | 3406 | 712 | 1707 | 827 | 11 112 | 4830 | .30 | 1267/7971 |
Cesari36 | 2005 | Italy | White | Adults | — | — | 40 | 39 | 11 | 42 | 38 | 10 | 119 | 61 | 122 | 58 | .75 | 90/90 |
Liu37 | 2005 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 29 | 45 | 26 | 31 | 50 | 19 | 103 | 97 | 112 | 88 | .88 | 100/100 |
Lwin42 | 2006 | Japan | Asian | Adults | >140 mm Hg | >90 mm Hg | 39 | 58 | 18 | 64 | 117 | 38 | 136 | 94 | 245 | 193 | .22 | 115/219 |
Li41 | 2006 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 18 | 6 | 2 | 21 | 7 | 2 | 42 | 10 | 49 | 11 | .23 | 26/30 |
Hu39 | 2006 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 55 | 39 | 16 | 61 | 42 | 12 | 149 | 71 | 164 | 66 | .25 | 110/115 |
Kalita40 | 2006 | India | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 18 | 7 | 3 | 21 | 9 | 2 | 43 | 13 | 51 | 13 | .46 | 28/32 |
Demir38 | 2006 | Turkey | White | Adults | >140 mm Hg | >90 mm Hg | 33 | 53 | 14 | 43 | 47 | 12 | 119 | 81 | 133 | 71 | .88 | 100/102 |
Nagy46 | 2007 | Hungary | White | Adults | >160 mm Hg | >90 mm Hg | 49 | 43 | 9 | 32 | 35 | 6 | 141 | 61 | 99 | 47 | .40 | 101/73 |
Markan45 | 2007 | India | Asian | Adults | >140 mm Hg | >90 mm Hg | 105 | 40 | 8 | 105 | 28 | 0 | 250 | 56 | 238 | 28 | .17 | 153/133 |
Marinho44 | 2007 | Portugal | White | Adults | — | — | 15 | 49 | 0 | 57 | 67 | 4 | 79 | 49 | 181 | 75 | 2.87 × 10—3 | 64/128 |
Hui43 | 2007 | Japan | Asian | Adults | >160 mm Hg | >100 mm Hg | 83 | 129 | 49 | 104 | 123 | 44 | 295 | 227 | 331 | 211 | .45 | 261/271 |
Xing47 | 2007 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 202 | 300 | 184 | 182 | 222 | 105 | 704 | 668 | 586 | 432 | .02 | 686/509 |
Soares51 | 2008 | Brazil | American | Adults | ≥140 mm Hg | ≥90 mm Hg | 13 | 15 | 2 | 9 | 5 | 2 | 41 | 19 | 23 | 9 | .36 | 30/16 |
Lin50 | 2008 | China | Asian | Adults | >140 mm Hg | >90 mm Hg | 19 | 27 | 4 | 73 | 44 | 6 | 65 | 35 | 190 | 56 | .85 | 50/123 |
Ilhan49 | 2008 | Turkey | White | Adults | >140 mm Hg | >90 mm Hg | 36 | 32 | 10 | 72 | 26 | 2 | 104 | 52 | 170 | 30 | .84 | 78/100 |
Fridman48 | 2008 | Argentina | American | Adults | ≥140 mm Hg | ≥90 mm Hg | 15 | 21 | 4 | 39 | 38 | 9 | 51 | 29 | 116 | 56 | .95 | 40/86 |
Canto10 | 2008 | Mexico | White | Adults | ≥140 mm Hg | ≥90 mm Hg | 36 | 66 | 23 | 61 | 131 | 82 | 138 | 112 | 253 | 295 | .53 | 125/274 |
Ng11 | 2009 | Australia | White | Adults | ≥140 mm Hg | ≥90 mm Hg | 14 | 14 | 10 | 40 | 32 | 8 | 42 | 34 | 112 | 48 | .67 | 38/80 |
Fakhrzadeh53 | 2009 | Iran | Asian | Adults | ≥160 mm Hg | ≥95 mm Hg | 99 | 44 | 17 | 36 | 31 | 9 | 242 | 78 | 103 | 49 | .56 | 160/76 |
Deshmukh52 | 2009 | United States | American | Adults | >140 mm Hg | >90 mm Hg | 22 | 16 | 4 | 52 | 48 | 18 | 60 | 24 | 152 | 84 | .22 | 42/118 |
Liu54 | 2011 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 58 | 70 | 27 | 74 | 47 | 19 | 186 | 124 | 195 | 85 | .01 | 155/140 |
Fowdar55 | 2012 | Australia | White | Adults | ≥140 mm Hg | ≥90 mm Hg | 170 | 174 | 33 | 175 | 183 | 35 | 514 | 240 | 533 | 253 | .19 | 377/393 |
Zhang57 | 2012 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 128 | 53 | 8 | 117 | 41 | 7 | 309 | 69 | 275 | 55 | .18 | 189/165 |
Yin56 | 2012 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 244 | 358 | 68 | 322 | 309 | 51 | 846 | 494 | 953 | 411 | .05 | 670/682 |
Fridman58 | 2013 | Argentina | American | Adults | ≥140 mm Hg | ≥90 mm Hg | 29 | 40 | 6 | 71 | 64 | 15 | 98 | 52 | 206 | 94 | .92 | 75/150 |
Yao59 | 2013 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 32 | 69 | 49 | 61 | 67 | 22 | 133 | 167 | 189 | 111 | .61 | 150/150 |
Cai60 | 2014 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 39 | 99 | 62 | 61 | 89 | 50 | 177 | 223 | 211 | 189 | .13 | 200/200 |
Husemoen61 | 2014 | Denmark | White | Adults | ≥140 mm Hg | ≥90 mm Hg | 2231 | 2012 | 451 | 3790 | 3208 | 699 | 6474 | 2914 | 10 788 | 4606 | .59 | 4694/7697 |
Vazquez‐Alaniz62 | 2014 | Mexico | American | Adults | >140 mm Hg | >90 mm Hg | 62 | 93 | 39 | 54 | 97 | 43 | 217 | 171 | 205 | 183 | .96 | 194/194 |
Wen68 | 2015 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 45 | 53 | 76 | 258 | 291 | 85 | 143 | 205 | 807 | 461 | .84 | 174/634 |
Perez‐Razo(Adults)65 | 2015 | Mexico | American | Adults | ≥140 mm Hg | ≥90 mm Hg | 112 | 174 | 87 | 90 | 200 | 101 | 398 | 348 | 380 | 402 | .64 | 373/391 |
Perez‐Razo(Children)65 | 2015 | Mexico | American | Children and Adolescents | ≥95thb | — | 34 | 98 | 67 | 35 | 108 | 56 | 166 | 232 | 178 | 220 | .17 | 199/199 |
Wei67 | 2015 | Malaysia | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 143 | 82 | 21 | 260 | 78 | 10 | 368 | 124 | 598 | 98 | .17 | 246/348 |
Nassereddine64 | 2015 | Morocco | African | Adults | ≥140 mm Hg | ≥90 mm Hg | 47 | 40 | 14 | 54 | 45 | 3 | 134 | 68 | 153 | 51 | .07 | 101/102 |
Bayramoglu63 | 2015 | Turkey | White | Adults | >140 mm Hg | >90 mm Hg | 65 | 38 | 22 | 56 | 38 | 5 | 168 | 82 | 150 | 48 | .65 | 125/99 |
Wang66 | 2015 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 96 | 60 | 34 | 144 | 91 | 52 | 252 | 128 | 379 | 195 | 6.78 × 10−7 | 190/287 |
Fan70 | 2016 | China | Asian | Adults | ≥140 mm Hg | ≥90 mm Hg | 37 | 102 | 75 | 119 | 234 | 141 | 176 | 252 | 472 | 516 | .26 | 214/494 |
Amrani‐Midoun69 | 2016 | Algerian | African | Adults | ≥140 mm Hg | ≥90 mm Hg | 37 | 36 | 9 | 44 | 25 | 3 | 110 | 54 | 113 | 31 | .81 | 82/72 |
Dwivedi71 | 2017 | India | Asian | Adults | — | — | 71 | 24 | 5 | 184 | 34 | 5 | 166 | 34 | 402 | 44 | .03 | 100/223 |
Rios72 | 2017 | Brazil | American | Adults | ≥160 mm Hg | ≥110 mm Hg | 13 | 29 | 54 | 20 | 20 | 45 | 55 | 137 | 60 | 110 | 7.82 × 10−6 | 96/85 |
Arina73 | 2019 | Indonesia | Asian | Adults | — | — | 32 | 16 | 5 | 43 | 10 | 0 | 80 | 26 | 96 | 10 | .45 | 53/53 |
The P‐value for HWE testing for controls is shown.
Abbreviations: DBP, diastolic blood pressure; HWE, Hardy‐Weinberg equilibrium test; MTHFR, methylenetetrahydrofolate reductase; SBP, systolic blood pressure.
According to developmental distribution tables and curves: “Anonymous: Update on the 1987 Task Force Report on High Blood Pressure in Children and Adolescents: A working group report from the National High Blood Pressure Education Program. National High Blood Pressure Education Program Working Group on Hypertension Control in Children and Adolescents.”
According to the criteria: “The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents.”