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 101 to 200 (from 4,646) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 47  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 3.132643,540
 102  A*11-B*52-C*07-DRB1*09  Myanmar Rakhine 3.125048
 103  A*02:07-B*46:01-DRB1*09:01:02  China Beijing Shijiazhuang Tianjian Han 3.1000618
 104  DRB1*09-DQA1*03:01-DQB1*03:03  Russia Arkhangelsk 3.100081
 105  DRB1*09:01:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 3.0980496
 106  DRB1*09:01-DQB1*02:01  USA African American pop 4 3.01202,411
 107  A*02-B*39-DRB1*09:01:02-DQB1*03:03  Peru Lamas City Lama 3.000083
 108  B*40:01-DRB1*09:01:02  Taiwan Rukai 3.000050
 109  DRB1*09:01-DQA1*03:01-DQB1*03:03  Mongolia Tarialan Khoton 3.000085
 110  A*01-B*15:01-DRB1*09-DQB1*03:03  Mexico Campeche, Campeche city 2.941234
 111  A*11:01-B*40:01-C*07:02-DRB1*09:01  Taiwan pop 2 2.9000364
 112  B*13:01-DRB1*09:01:02  Taiwan Siraya 2.900051
 113  B*40:01-DRB1*09:01:02  Taiwan Saisiat 2.900051
 114  DRB1*09:01:02-DQA1*03:01/03:02/03:03-DQB1*03:03:02  Russia Siberia Lower Yenisey Ket 2.900017
 115  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPB1*02:01  South Korea pop 1 2.9000324
 116  DRB1*09:01-DQB1*03:03-DPB1*02:01  Mongolia Tarialan Khoton 2.900085
 117  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.8540101
 118  A*31:01-B*40:02-DRB1*09:01  Sweden Northern Sami 2.8000154
 119  DRB1*09:01-DQB1*03:03-DPB1*02:01  South Korea pop 1 2.8000324
 120  A*02:07-B*46:01-DRB1*09:01  China Jiangsu Han 2.79003,238
 121  A*02-B*46-C*01-DRB1*09  Myanmar Shan 2.778054
 122  B*27:04-DRB1*09:01:02  Taiwan Pazeh 2.700055
 123  B*55:02-DRB1*09:01:02  Taiwan Taroko 2.700055
 124  DRB1*09:01:02-DQA1*03:01-DQB1*02:01  Gabon Haut-Ogooue Dienga 2.7000167
 125  DRB1*09:01:02-DQB1*03:03:02-DPB1*05:01  China Yunnan Province Bai 2.7000128
 126  DRB1*09:01-DPA1*01-DPB1*02:01  Mongolia Tarialan Khoton 2.700085
 127  B*46:01:01-C*01:02:01-DRB1*09:01:02  China Jingpo Minority 2.6040105
 128  B*46:01:01-DRB1*09:01:02  China Jingpo Minority 2.6040105
 129  A*02:07-B*46:01-DRB1*09:01-DPB1*05:01  China Canton Han 2.6000264
 130  A*02-B*46-DRB1*09  China Shaanxi Province Han 2.600010,000
 131  DRB1*09:01:02-DQB1*03:03  Malaysia 2.600074
 132  DRB1*09:01:02-DQB1*03:03:02-DPB1*05:01  China Lijiang Naxi 2.6000100
 133  A*02-B*35-DRB1*09-DQB1*03:03  Ecuador Amazonia Mixed Ancestry 2.564139
 134  A*02-B*51-DRB1*09-DQB1*03:03  Ecuador Amazonia Mixed Ancestry 2.564139
 135  A*24-B*40:02-DRB1*09-DQB1*03:03  Ecuador Amazonia Mixed Ancestry 2.564139
 136  A*02:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 2.5440194
 137  DRB1*09:01:02-DQA1*03:02-DQB1*03:03:02-DPB1*02:01  South Korea pop 2 2.5000207
 138  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  China Canton Han 2.5000264
 139  DRB1*09-DQA1*03:01-DQB1*03:03  Russia Vologda 2.5000121
 140  DRB1*09:01:02-DQA1*02:01-DQB1*03:03  China Urumqi Kazak 2.400042
 141  DRB1*09:01-DPA1*01-DPB1*02:01  Mongolia Ulaanbaatar Khalkha 2.400041
 142  A*02:01-B*40:01-DRB1*09:01  New Zealand Polynesians with Full Ancestry 2.381021
 143  A*02:01-B*56:02-DRB1*09:01  New Zealand Polynesians with Full Ancestry 2.381021
 144  A*34:01-B*56:01-DRB1*09:01  New Zealand Polynesians with Full Ancestry 2.381021
 145  A*02:01-B*15:13-DRB1*09:01  Malaysia Kedah Kensiu 2.380021
 146  A*02:01-B*35:05-DRB1*09:01  Malaysia Kedah Kensiu 2.380021
 147  A*24:02-B*18:01-DRB1*09:01  Malaysia Kedah Kensiu 2.380021
 148  A*02:06-B*40:02-DRB1*09:01-DQB1*03:03  USA Alaska Yupik 2.3000252
 149  A*24-B*46-DRB1*09:01:02  China Yunnan Province Han pop 2 2.3000129
 150  DRB1*09:01:02-DPB1*05:01  Taiwan Rukai pop 2 2.300050
 151  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Tuva pop3 2.300044
 152  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Sulamai Ket 2.300022
 153  A*02-B*51-DRB1*09:01-DQB1*03:02  Bolivia La Paz Aymaras 2.299087
 154  A*11:01-B*46:01-DRB1*09:01  China Southwest Dai 2.2000124
 155  B*40:06-DRB1*09:01-DQB1*03:03  South Korea pop 3 2.2000485
 156  A*33-B*53-DRB1*09-DQB1*02  Mexico Tamaulipas, Ciudad Victoria 2.173923
 157  A*02-B*48-DRB1*09:01-DQB1*03:03  Bolivia Quechua 2.100069
 158  A*11:01-B*40:01-DRB1*09:01  Taiwan Tzu Chi Cord Blood Bank 2.1000710
 159  A*68-B*35-DRB1*09:01-DQB1*03:03  Bolivia Quechua 2.100069
 160  B*48:01-DRB1*09:01:02  Taiwan Atayal 2.1000106
 161  B*55:02-DRB1*09:01:02  Taiwan Bunun 2.1000101
 162  DRB1*09:01:02-DPB1*05:01  Taiwan Ami pop 2 2.100050
 163  DRB1*09:01:02-DQA1*03:01-DQB1*03:02  Japan pop 2 2.1000916
 164  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:02  China Canton Han 2.1000264
 165  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.0960101
 166  DRB1*09-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 2.083372
 167  A*24-B*35-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 2.038087
 168  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.0000170
 169  A*23-B*07-DRB1*09-DQB1*02  Mexico Quintana Roo Rural 2.000050
 170  A*24-B*48-DRB1*09:01  Malaysia Sarawak Bidayuh 2.000050
 171  B*39:01-DRB1*09:01:02  Taiwan Puyuma 2.000050
 172  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Kushun Buryat 2.000025
 173  DRB1*09:01:02-DQB1*06:01-DPB1*05:01  China Yunnan Province Bai 2.0000128
 174  DRB1*09:01-DQA1*03:01-DQB1*03:03  Russia Northwest Slavic 2.0000200
 175  A*02:07-B*46:01-DRB1*09:01  China Jiangsu Province Han 1.9200334
 176  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 1.9200833
 177  A*03:01-B*40:01-DRB1*09:01  Sweden Northern Sami 1.9000154
 178  B*40:06-C*08:01-DRB1*09:01  South Korea pop 3 1.9000485
 179  DRB1*09-DQA1*03:01-DQB1*03:03  Belarus Brest Region 1.9000105
 180  A*34:01-B*56:01-DRB1*09:01  New Zealand Polynesians with Admixed History 1.852027
 181  A*24:07-B*51:02-DRB1*09:01  Malaysia Mandailing 1.851927
 182  A*02-B*46-DRB1*09:01  Malaysia Sabah Kadazan 1.800057
 183  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 1.8000170
 184  A*24-B*15-DRB1*09:01:02-DQB1*03:03  Peru Lamas City Lama 1.800083
 185  A*24-B*51-DRB1*09:01  Malaysia Sabah Kadazan 1.800057
 186  B*15:18-DRB1*09:01:02  Taiwan Hakka 1.800055
 187  B*40:01-DRB1*09:01:02  Taiwan Taroko 1.800055
 188  B*81:01-DRB1*09:01:02  Taiwan Pazeh 1.800055
 189  DRB1*09:01:02-DQB1*03:01:01  China Yunnan Province Lahu 1.800070
 190  DRB1*09:01:02-DQB1*04:01  China Yunnan Province Lahu 1.800070
 191  DRB1*09:01:02-DQB1*05:02:01  China Yunnan Province Lahu 1.800070
 192  A*02:07-B*51:01-DRB1*09:01  Malaysia Kelantan 1.785728
 193  A*11:01-B*15:02-DRB1*09:01  Malaysia Kelantan 1.785728
 194  A*02-B*35-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 1.7597824
 195  A*01:01-B*46:01-DRB1*09:01  Malaysia Champa 1.724129
 196  A*24:02-B*18:01-DRB1*09:01  Malaysia Champa 1.724129
 197  A*34:01-B*15:21-DRB1*09:01  Malaysia Champa 1.724129
 198  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 1.71385,266
 199  A*02-B*35-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 1.70501,173
 200  A*11:01:01-B*51-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02-DPB1*04:01:01  China Yunnan Province Lisu 1.7000111

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 4,646) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 47  


   

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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