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 5,048) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  B*13:02-C*06:02-DRB1*07:01  South Korea pop 3 2.9000485
 102  B*13:02-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 2.9000485
 103  A*02:01-B*13:02-C*06:02-DRB1*07:01  Russia Bering Island Aleuts 2.8846104
 104  A*02:07-B*13:01-C*01:02  China Guizhou Province Shui 2.8000153
 105  A*11:01-B*13:01-C*03:04  China Guizhou Province Shui 2.8000153
 106  A*30:01-B*13:02  India West Coast Parsi 2.800050
 107  A*30-B*13-C*06:02  South Korea pop 1 2.8000324
 108  B*13:01-C*03:04  USA Asian pop 2 2.73401,772
 109  A*02:01-B*13:01-DRB1*04:05  China Guangxi Region Maonan 2.7000108
 110  A*02:03:01-B*13:01-C*03:04  China Guizhou Province Bouyei 2.7000109
 111  A*11:01-B*13:01-C*03:04  China Guizhou Province Bouyei 2.7000109
 112  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 2.7000485
 113  A*30:01-B*13:02-DRB1*07:01  South Korea pop 3 2.7000485
 114  B*13:01-DRB1*15:01:01  Taiwan Pazeh 2.700055
 115  A*01:01-B*13:02-DRB1*07:01  Israel Morocco Jews 2.690036,718
 116  A*24:02-B*13:01-DRB1*12:02  Taiwan Tzu Chi Morrow Donor Registry Aborigine 2.5460233
 117  A*03:02-B*13:02-DRB1*07:01  Israel Morocco Jews 2.530036,718
 118  A*11:01-B*13:01-C*03:04  China Canton Han 2.5000264
 119  A*26:01-B*13:01  Taiwan Rukai 2.500050
 120  A*30-B*13-DRB1*07  Pakistan Mixed Pathan 2.5000100
 121  B*13:01-C*03:04  USA Asian 2.5000358
 122  A*30-B*13-DRB1*07-DQB1*02  Mexico Sonora, Ciudad Obregón 2.4476143
 123  A*02:03:01-B*13:01-C*03:04  China Guizhou Province Shui 2.4000153
 124  A*24:02-B*13:01  Singapore Chinese 2.4000149
 125  A*68-B*13-DRB1*07  Russia South Ural Bashkir 2.4000146
 126  A*11:01-B*13:01-DRB1*15:02  New Zealand Polynesians with Full Ancestry 2.381021
 127  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 128  A*29:11-B*13:02:01-C*08:02:01-DRB1*11:01:02-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 129  A*02:01-B*13:01-DRB1*15:03  Malaysia Kedah Kensiu 2.380021
 130  A*11:01-B*13:01-DRB1*15:01  Malaysia Kedah Kensiu 2.380021
 131  A*24:07-B*13:01-DRB1*15:01  Malaysia Kedah Kensiu 2.380021
 132  A*30-B*13-DRB1*04-DQB1*03:02  Mexico Queretaro Rural 2.325643
 133  A*02:36-B*13:02-C*04:01  India Mumbai Maratha 2.300091
 134  A*02-B*13  Iran pop 1 2.300064
 135  A*30:01-B*13:02-DRB1*07:01  China Beijing Shijiazhuang Tianjian Han 2.3000618
 136  B*13:02-C*06:02  USA Asian pop 2 2.27401,772
 137  A*11-B*13-C*04-DRB1*03-DQB1*02-DPB1*04  Myanmar Kayin 2.273044
 138  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.258577,584
 139  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 2.24501,028
 140  A*02-B*13-C*06-DRB1*07  Russia Tatars 2.2100355
 141  B*13:02-C*06:02  Uganda Kampala 2.2000161
 142  A*30:01-B*13:02-DRB1*07:01  South Korea pop 10 2.19004,128
 143  A*11-B*13-C*03-DRB1*15  Myanmar Kayah 2.176055
 144  A*02-B*13-DRB1*07  Russia South Ural Russian 2.1000207
 145  A*11:01-B*13:01  USA Asian 2.1000358
 146  A*11:01-B*13:01-DRB1*12:02  China Guangxi Region Maonan 2.1000108
 147  A*24:02-B*13:01-C*03:04  China Southwest Dai 2.1000124
 148  A*24:02-B*13:01-DRB1*15:02  China Guangxi Region Maonan 2.1000108
 149  B*13:01-C*03:04-DRB1*12:02  China Southwest Dai 2.1000124
 150  B*13-DRB1*07  Macedonia 2.0979286
 151  A*11:01-B*13:01-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 2.0619194
 152  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 2.025499,672
 153  A*02-B*13-DRB1*12  Philippines National Capital Region 2.000051
 154  A*11:01:01-B*13:01:01-C*04:03:01  South African Indian population 2.000050
 155  A*11:02-B*13:01  Taiwan Saisiat 2.000051
 156  A*24-B*13-C*06  Italy East Sicily 2.000050
 157  B*13:01-C*03:03  Philippines Ivatan 2.000050
 158  B*13:01-DRB1*12:02:01  Taiwan Minnan pop 1 2.0000102
 159  B*13:02-C*06:02  Tunisia 2.0000100
 160  A*30:01-B*13:02-DRB1*07:01  Israel Kavkazi Jews 1.98002,840
 161  A*26:01-B*13:01  Taiwan Bunun 1.9000101
 162  A*30-B*13-DRB1*07:01  South Korea pop 1 1.9000324
 163  B*13:01-DRB1*15:01:01  Taiwan Saisiat 1.900051
 164  B*13:02-C*06:02  USA North American Native 1.9000187
 165  A*30:01-B*13:02  USA Asian pop 2 1.86801,772
 166  A*11:01-B*13:01-DRB1*15:02  New Zealand Polynesians with Admixed History 1.852027
 167  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.84081,075
 168  A*11-B*13-C*04-DRB1*03  Myanmar Kayin 1.832044
 169  A*02-B*13-DRB1*07  Russia Moscow Pop 2 1.82002,000
 170  A*02:01-B*13:02-DRB1*07:01  Azores Central Islands 1.800059
 171  A*02-B*13-DRB1*07  Russia South Ural Tatar 1.8000135
 172  A*30:01-B*13:02  Taiwan Hakka 1.800055
 173  B*13:02-C*06:02  Taiwan Hakka 1.800055
 174  B*13:02-C*06:02  USA Asian 1.8000358
 175  B*13:02-DRB1*07:01  Taiwan Hakka 1.800055
 176  B*13-DRB1*07  Greece North 1.8000500
 177  A*11:01-B*13:02-DRB1*07:01  Malaysia Kelantan 1.785728
 178  A*24:02-B*13:01-DRB1*15:02  Malaysia Kelantan 1.785728
 179  A*30:01-B*13:01-DRB1*07:01-DQB1*02:01  Iran Yazd 1.785756
 180  A*30-B*13-DRB1*07-DQB1*02  Mexico Veracruz, Cordoba 1.785756
 181  A*30:01-B*13:02-DRB1*11:04  Israel Bukhara Jews 1.78002,317
 182  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 1.775923,595
 183  A*01:01-B*13:02-DRB1*11:04  Israel Iraq Jews 1.740013,270
 184  A*11:01-B*13:01-DRB1*12:02  Malaysia Champa 1.724129
 185  A*26:01-B*13:01-DRB1*16:02  Malaysia Champa 1.724129
 186  A*30:01-B*13:02-DRB1*12:02  Malaysia Champa 1.724129
 187  A*33:03-B*13:01-DRB1*11:06  Malaysia Champa 1.724129
 188  A*74:01-B*13:02-DRB1*14:04  Malaysia Champa 1.724129
 189  A*30:02-B*13:02  Cameroon Yaounde 1.700092
 190  B*13:01-C*01:02  Taiwan Thao 1.700030
 191  B*13:01-DRB1*04:05:01  Taiwan Thao 1.700030
 192  B*13:01-DRB1*12:02-DQB1*03:01  South Korea pop 3 1.7000485
 193  B*13:02-C*06:02  Ireland Northern 1.70001,000
 194  A*30-B*13-DRB1*07  Iran pop 4 1.6807855
 195  A*02-B*13-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 1.666730
 196  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.6340153
 197  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 1.6130124
 198  A*02:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 1.609720,653
 199  A*02:01-B*13:01  Singapore Chinese 1.6000149
 200  A*02-B*13-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 1.6000127

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 5,048) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  


   

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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