Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 201 to 300 (from 2,566) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 26  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  DRB1*04:03-DQA1*03:01-DQB1*03:02  Tunisia 3.5000100
 202  DRB1*04-DQA1*03:01-DQB1*03:01  Russia Mari 3.5000202
 203  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 3.4404218
 204  DRB1*04:03-DQA1*03-DQB1*03:02  Turkey pop 1 3.4000250
 205  DRB1*04:05-DQA1*03-DQB1*04:01  China Urumqi Uyghur 3.400057
 206  DRB1*04:05-DQA1*03-DQB1*04:01  Russia Tuva pop3 3.400044
 207  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 1 3.4000324
 208  DRB1*09:01:02-DQA1*03-DQB1*03:03  China Urumqi Uyghur 3.400057
 209  DRB1*11:06-DQA1*03-DQB1*03:01/03:09  Russia Siberia Ulchi 3.400073
 210  A*24-B*39-DRB1*04:07-DQA1*03-DQB1*03:02  Mexico Mazatecan 3.300089
 211  DRB1*04:03-DQA1*03:01:01-DQB1*03:02  South Korea pop 5 3.3000467
 212  DRB1*04:03-DQA1*03:01-DQB1*03:02  Italy Sardinia Sassari 3.300091
 213  DRB1*04:03-DQA1*03:01-DQB1*03:04  Italy Sardinia Oristano 3.300091
 214  DRB1*04:03-DQA1*03-DQB1*03:02  Algeria pop 2 3.3000106
 215  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Tempio 3.300091
 216  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Sassari 3.300091
 217  DRB1*09:01:02-DQA1*03-DQB1*03:01  Russia Siberia North East Kamchatka Koryak 3.300092
 218  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPB1*05:01  South Korea pop 11 3.3000149
 219  DQA1*03-DQB1*02  Uganda Baganda 3.200047
 220  DQA1*03-DQB1*04:01  Russia Tuva pop 2 3.2000169
 221  DRB1*04:01-DRB4*01:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Francisco Caucasian 3.2000220
 222  DRB1*04:01-DRB4*01:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Francisco Caucasian 3.2000220
 223  DRB1*04:06-DQA1*03  Israel Moroccan Jews 3.2000113
 224  DRB1*04:06-DQA1*03:01-DQB1*03:02  Japan pop 2 3.2000916
 225  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 3.1507833
 226  DQA1*03:01-DQB1*06:01  Papua New Guinea Highland pop2 3.100028
 227  DRB1*04:03-DQA1*03:01-DQB1*03:01  Iran Yazd Zoroastrian 3.100065
 228  DRB1*09-DQA1*03:01-DQB1*03:03  Russia Arkhangelsk 3.100081
 229  DRB1*04:01-DQA1*03:01-DQB1*03:01  USA San Francisco Caucasian 3.0000220
 230  DRB1*04:03-DQA1*03:01/03:02-DQB1*03:02  Ethiopia Oromo 3.000083
 231  DRB1*04:03-DQA1*03:01-DQB1*03:02  Russia Northwest Slavic 3.0000200
 232  DRB1*04:03-DQA1*03:01-DQB1*03:03  Iran Azeri 3.0000100
 233  DRB1*04:05-DQA1*03:01/03:02-DQB1*02  Ethiopia Oromo 3.000083
 234  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 2 3.0000207
 235  DRB1*09:01-DQA1*03:01-DQB1*03:03  Mongolia Tarialan Khoton 3.000085
 236  A*24:02-B*35:20-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 237  A*24:02-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 238  A*31:01-B*40:08-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 239  A*68:01-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 240  DRB1*04:01-DQA1*03:01/03:02/03:03-DQB1*03:02  Russia Siberia Lower Yenisey Ket 2.900017
 241  DRB1*04:02-DQA1*03:01-DQB1*03:02  Slovenia pop 2 2.9000140
 242  DRB1*04:03-DQA1*03:01-DQB1*03:02  Japan pop 2 2.9000916
 243  DRB1*04:03-DQA1*03:01-DQB1*03:02  Italy Sardinia Cagliari 2.900087
 244  DRB1*04:03-DQA1*03-DQB1*03:02  Russia Siberia Polygus Evenk 2.900035
 245  DRB1*04:04-DQA1*03:01/03:02/03:03-DQB1*03:02  Russia Siberia Lower Yenisey Ket 2.900017
 246  DRB1*04:04-DQA1*03-DQB1*03:02  Russia Siberia Khanty Mansi 2.900068
 247  DRB1*04:08-DQA1*03:01/03:02/03:03-DQB1*03:02  Russia Siberia Lower Yenisey Ket 2.900017
 248  DRB1*08:02-DQA1*03-DQB1*03:02  Russia Siberia Negidal 2.900035
 249  DRB1*09:01:02-DQA1*03:01/03:02/03:03-DQB1*03:03:02  Russia Siberia Lower Yenisey Ket 2.900017
 250  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPB1*02:01  South Korea pop 1 2.9000324
 251  DRB1*11:01:01-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 2.900035
 252  DQA1*03-DQB1*03:01  China, Xinjiang Uyghur Autonomous Region Uyghur 2.820071
 253  DRB1*04:05-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 2.8000160
 254  DRB1*04-DQA1*03:01-DQB1*03:01  Italy pop 2 2.800053
 255  B*07-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 2.777872
 256  DRB1*04:02-DQA1*03  Israel Moroccan Jews 2.7000113
 257  DRB1*04:02-DQA1*03:01-DQB1*03:02  Morocco Souss Region 2.700098
 258  DRB1*04:04-DQA1*03:01-DQB1*03:02  USA San Francisco Caucasian 2.7000220
 259  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Sorgono 2.700093
 260  DRB1*09:01:02-DQA1*03:01-DQB1*02:01  Gabon Haut-Ogooue Dienga 2.7000167
 261  DRB1*13-DQA1*03:01-DQB1*03:03  Gabon Haut-Ogooue Dienga 2.7000167
 262  DQA1*03-DQB1*02  Cameroon Saa 2.6000172
 263  DRB1*04:02-DQA1*03-DQB1*03:02  Turkey pop 1 2.6000250
 264  DRB1*04:04-DQA1*03-DQB1*03:02  Argentina Gran Chaco Western Toba Pilaga 2.600019
 265  DRB1*04:05-DQA1*03:01/03:02-DQB1*02  Ethiopia Amhara 2.600098
 266  DRB1*04-DQA1*03:01-DQB1*03:01  Russia Smolensk 2.6000156
 267  A*02-B*35-DRB1*04:07-DQA1*03-DQB1*03:02  Mexico Mazatecan 2.500089
 268  A*24-B*35-DRB1*04:04-DQA1*03-DQB1*03:02  Mexico Mazatecan 2.500089
 269  DQA1*03-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Hui 2.500040
 270  DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 2.5000160
 271  DRB1*04-DQA1*03:01-DQB1*03:01  Ukraine Khmelnytskyi 2.5000138
 272  DRB1*08:02-DQA1*03:01-DQB1*03:02  Japan pop 2 2.5000916
 273  DRB1*08-DQA1*03:01-DQB1*03:01  India Northeast Rajbanshi 2.500098
 274  DRB1*09:01:02-DQA1*03:02-DQB1*03:03:02-DPB1*02:01  South Korea pop 2 2.5000207
 275  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  China Canton Han 2.5000264
 276  DRB1*09-DQA1*03:01-DQB1*03:03  Russia Vologda 2.5000121
 277  DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 2.44151,064
 278  DRB1*04:01-DQA1*03:01/03:02-DQB1*03:02  Ethiopia Oromo 2.400083
 279  DRB1*04:01-DQA1*03-DQB1*03:03:02  Russia Siberia Gvaysugi Udege 2.400025
 280  DRB1*04:05-DQA1*03:01/03:02-DQB1*03:02  Ethiopia Oromo 2.400083
 281  DRB1*04:05-DQA1*03:01-DQB1*04:01  Mongolia Ulaanbaatar Khalkha 2.400041
 282  DRB1*04:05-DQA1*03-DQB1*03:02  Algeria pop 2 2.4000106
 283  DRB1*04:08-DQA1*03:01-DQB1*03:01  China Urumqi Kazak 2.400042
 284  DRB1*04:10-DQA1*03:01-DQB1*04:02  Australia New South Wales Aborigine 2.4000177
 285  DRB1*14:01-DQA1*03-DQB1*04:02  Russia Siberia Gvaysugi Udege 2.400025
 286  DRB1*14:02-DQA1*03-DQB1*03:01  Russia Siberia Gvaysugi Udege 2.400025
 287  DRB1*14:02-DQA1*03-DQB1*04:02  Russia Siberia Gvaysugi Udege 2.400025
 288  DRB1*01:01-DQA1*03-DQB1*03:01  Russia Siberia Sulamai Ket 2.300022
 289  DRB1*04:01-DQA1*03-DQB1*03:01  Russia Siberia Sulamai Ket 2.300022
 290  DRB1*04:01-DQA1*03-DQB1*03:01/03:09  Russia Tuva Todja 2.300022
 291  DRB1*04:01-DQA1*03-DQB1*03:02  Russia Tuva Todja 2.300022
 292  DRB1*04:02-DQA1*03:01-DQB1*03:02  Italy Sardinia Cagliari 2.300087
 293  DRB1*04:02-DQA1*03-DQB1*03:02  Russia Tuva Todja 2.300022
 294  DRB1*04:03-DQA1*03:01-DQB1*03:02  South Korea pop 1 2.3000324
 295  DRB1*04:03-DQA1*03-DQB1*03:01/03:09  Russia Tuva Todja 2.300022
 296  DRB1*04:05-DQA1*03-DQB1*03:01/03:09  Russia Siberia Irkutsk Tofalar 2.300043
 297  DRB1*07:01-DQA1*03-DQB1*06:02  Russia Siberia Sulamai Ket 2.300022
 298  DRB1*08:02-DQA1*03-DQB1*03:02  Russia Tuva Todja 2.300022
 299  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Tuva pop3 2.300044
 300  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Sulamai Ket 2.300022

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 201 to 300 (from 2,566) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 26  


   

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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