Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 101 to 200 (from 6,040) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 61  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*68:01-B*39:05-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 102  A*68:01:02-B*35:05-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 1.0500105
 103  A*68:01:02-B*40:06:01-DRB1*15:01:01  China Jingpo Minority 1.0420105
 104  A*68:01:02-B*51:02:01-C*15:02:01-DRB1*04:06:01  China Jingpo Minority 1.0420105
 105  A*68:01:02-C*15:02:01-DRB1*15:01:01  China Jingpo Minority 1.0310105
 106  A*68:01-B*51:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 1.030997
 107  A*68:01:01-B*15:10:01-C*12:03:01  South African Indian population 1.000050
 108  A*68:01:01-B*15:17:01:01-DRB1*15:01:01  Portugal Center 1.000050
 109  A*68:01:01-B*27:05:02/27:05:04/27:13-DRB1*13:03  Portugal South 1.000049
 110  A*68:01:01-B*44:03:02-C*15:02:01  South African Indian population 1.000050
 111  A*68:01:01-B*45:01-DRB1*03:01:01  Portugal Center 1.000050
 112  A*68:01:01-B*56:01-DRB1*13:01:01  Portugal South 1.000049
 113  A*68:01:02-B*15:02:01-C*08:01:01  South African Indian population 1.000050
 114  A*68:01:02-B*15:25:01-C*07:26  South African Indian population 1.000050
 115  A*68:01:02-B*18:01:01-C*16:01:01  South African Mixed ancestry 1.000050
 116  A*68:01:02-B*37:01:01-C*04:03:01  South African Indian population 1.000050
 117  A*68:01:02-B*40:06:01-C*07:04:01  South African Indian population 1.000050
 118  A*68:01:02-B*44:02:01-DRB1*01:01  Portugal Center 1.000050
 119  A*68:01:02-B*44:03:02-C*12:03:01  South African Mixed ancestry 1.000050
 120  A*68:01:02-B*51:01:01-DRB1*03:01:01  Portugal South 1.000049
 121  A*68:01:02-B*52:01:01-C*12:02:02  South African Indian population 1.000050
 122  A*68:01-B*51:01-DRB1*04:04  Armenia combined Regions 1.0000100
 123  A*68:01:02-B*40:06:01-C*15:02:01  China Jingpo Minority 0.9900105
 124  A*68:01:02-B*51:02:01  China Jingpo Minority 0.9900105
 125  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.9804153
 126  A*68:01:02-C*15:02:01  China Jingpo Minority 0.9710105
 127  A*68:01-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 128  A*68:01-B*27:05-C*02:02-DRB1*04:01  Russia Bering Island Aleuts 0.9615104
 129  A*68:01-B*35:68-C*01:02-DRB1*08:02-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 130  A*68:01-B*35:68-C*03:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 131  A*68:01-B*40:02-C*03:04-DRB1*04:04  Russia Bering Island Aleuts 0.9615104
 132  A*68:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 133  A*68:01-B*40:02-C*03:04-DRB1*08:02  Russia Bering Island Aleuts 0.9615104
 134  A*68:01-B*35:01-C*16:02-DRB1*14:04-DQA1*01:04-DQB1*05:03  United Arab Emirates Abu Dhabi 0.960052
 135  A*68:01-B*51:01-C*14:02-DRB1*15:02-DQA1*01:02-DQB1*06:04  United Arab Emirates Abu Dhabi 0.960052
 136  A*68:01-B*51:01-C*16:01-DRB1*11:01-DQA1*05:05-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 137  A*68:01-B*58:02-C*06:02-DRB1*12:01-DQA1*01:05-DQB1*05:01  United Arab Emirates Abu Dhabi 0.960052
 138  A*68:01-B*40:08-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.9174218
 139  A*68:01:02-B*15:04-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.9100105
 140  A*68:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.9091330
 141  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.9091110
 142  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.9050221
 143  A*68:01-B*08:01-DRB1*03:01-DQB1*06:02  Iran Yazd 0.892956
 144  A*68:01-B*27:01-DRB1*01:01-DQB1*05:01  Iran Yazd 0.892956
 145  A*68:01-B*38:01-DRB1*01:01-DQB1*06:02  Iran Yazd 0.892956
 146  A*68:01-B*44:05-DRB1*11:01-DQB1*06:02  Iran Yazd 0.892956
 147  A*68:01-B*51:01-DRB1*04:01-DQB1*03:02  Iran Yazd 0.892956
 148  A*68:01-B*51:06-DRB1*13:01-DQB1*06:02  Iran Yazd 0.892956
 149  A*68:01-B*35:01-DRB1*12:01  Israel Kavkazi Jews 0.87802,840
 150  A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 151  A*68:01:02:02-B*51:01:01-C*15:02:01:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.8333120
 152  A*68:01-B*53:01-DRB1*13:02-DQB1*03:01  Iran Saqqez-Baneh Kurds 0.833360
 153  A*68:01-B*39:05-DRB1*04:04  Mexico Oaxaca Jamiltepec Mixtec 0.800096
 154  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064
 155  A*68:01-B*35:01-C*03:03-DRB1*13:08-DQB1*05:03  Iran Gorgan 0.780064
 156  A*68:01-B*40:46-C*04:01-DRB1*15:01-DQB1*06:02  Iran Gorgan 0.780064
 157  A*68:01-B*40:02  USA Hispanic pop 2 0.77701,999
 158  A*68:01-B*15:01-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 159  A*68:01-B*15:01-DRB1*04:04-DQB1*03:02  Chile Mapuche 0.770066
 160  A*68:01-B*15:01-DRB1*14:02-DQB1*03:01  Chile Mapuche 0.770066
 161  A*68:01-B*38:01-DRB1*11:01-DQB1*03:01  Chile Mapuche 0.770066
 162  A*68:01-B*39:06-DRB1*04:03-DQB1*03:02  Chile Mapuche 0.770066
 163  A*68:01-B*39:09-DRB1*15:01-DQB1*03:01  Chile Mapuche 0.770066
 164  A*68:01-B*39:14-DRB1*14:02-DQB1*03:01  Chile Mapuche 0.770066
 165  A*68:01-B*40:02-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 166  A*68:01-B*40:09-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 167  A*68:01-B*44:03-DRB1*07:01-DQB1*02:01  Chile Mapuche 0.770066
 168  A*68:01-B*51:01-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 169  A*68:01-B*51:01-DRB1*11:01-DQB1*03:01  Chile Mapuche 0.770066
 170  A*68:01-B*51:02-DRB1*04:03-DQB1*03:01  Chile Mapuche 0.770066
 171  A*68:01-B*51:01-DRB1*11:04  Israel Iraq Jews 0.753013,270
 172  A*68:01-B*15:01-C*01:02-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 173  A*68:01-B*15:01-C*01:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 174  A*68:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 175  A*68:01-B*35:12-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 176  A*68:01-B*35:12-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 177  A*68:01-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 178  A*68:01-B*35:12-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 179  A*68:01-B*35:17-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:04  Mexico Tixcacaltuyub Maya 0.746367
 180  A*68:01-B*35:20-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 181  A*68:01-B*39:05-C*07:02-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 182  A*68:01-B*39:06-C*07:02-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 183  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 184  A*68:01-B*45:01-C*06:02-DRB1*04:05-DQA1*03:03-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 185  A*68:01-B*48:01-C*08:03-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 186  A*68:01-B*51:01-C*03:04-DRB1*11:01-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.71001,376
 187  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.7040142
 188  A*68:01-B*58:02-C*06:02-DRB1*12:01-DRB3*02:02-DQB1*05:01  USA NMDP African American pop 2 0.6994416,581
 189  A*68:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 190  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 191  A*68:01:01-B*15:08:01-C*01:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 192  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 193  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 194  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 195  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 196  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 197  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 198  A*68:01:01-B*39:02:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 199  A*68:01:01-B*40:02:01-C*03:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 200  A*68:01:01-B*40:02:01-C*03:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 101 to 200 (from 6,040) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 61  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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