Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 827) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*26:01:01-B*38:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 102  A*31:01:02-B*38:02:01-C*07:02:01  China Jingpo Minority 0.4950105
 103  A*03:01-B*38:01-C*07:01-DRB1*11:04  Russia Bering Island Aleuts 0.4808104
 104  A*02:03-B*38:02-C*07:02-DRB1*16:02  Germany DKMS - China minority 0.45101,282
 105  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.45031,734
 106  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.43801,772
 107  A*02:03-B*38:02-C*07:02-DRB1*08:03  Germany DKMS - China minority 0.43201,282
 108  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.407911,499
 109  A*24:02-B*38:01-C*07:04-DRB1*14:01-DQA1*01:01-DQB1*05:03  Kosovo 0.4030124
 110  A*24:03-B*38:01-C*07:01-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 111  A*26:01-B*38:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 0.4030124
 112  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.39801,772
 113  A*03-B*38-C*07:02-DRB1*03-DQB1*02  Russia North Ossetian 0.3900127
 114  A*02:03-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.36757,595
 115  A*68:03-B*38:01-C*07:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 116  B*38:01-C*07:02  Mexico Mexico City Mestizo population 0.3497143
 117  B*38:01-C*07:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 118  A*02:03-B*38:02-C*07:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.34601,772
 119  A*26-B*38-C*07-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 120  A*32-B*38-C*07-DRB1*04-DQB1*03  Albania pop 2 0.3400432
 121  A*02:03-B*38:02-C*07:02-DRB1*09:01-DQB1*03:03  India Northeast UCBB 0.3378296
 122  A*02:03-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  India Northeast UCBB 0.3378296
 123  A*02:06-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.3378296
 124  A*11:01-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  India Northeast UCBB 0.3378296
 125  A*11-B*38-C*07:02-DRB1*04:04-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 126  A*24-B*38-C*07:02-DRB1*08:03-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 127  A*24:02:01-B*38:01:01-C*07:02:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 128  A*24:02:01-B*38:01:01-C*07:04:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*05:02-DPA1*02:01:01-DPB1*03:01  Russia Belgorod region 0.3268153
 129  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*14:01  Nicaragua Mestizo (G) 0.3226155
 130  A*24:03:01-B*38:01:01-C*07:01:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 131  A*26:01:01-B*38:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 132  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.31202,403
 133  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.30655,266
 134  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*14:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 135  A*33:03:01-B*38:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 136  A*24:02-B*38:02-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.26501,772
 137  A*24:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 138  A*01:01-B*38:02-C*07:02-DRB1*15:02-DQA1*01:02-DQB1*05:02-DPB1*04:01  USA San Diego 0.2600496
 139  A*11:01-B*38:02-C*07:02-DRB1*04:05-DQA1*01:02-DQB1*05:02-DPB1*01:01  USA San Diego 0.2600496
 140  A*33-B*38-C*07  Brazil Parana Japanese 0.2600192
 141  A*34:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.259211,499
 142  A*02:02-B*38:02-C*07:02-DRB1*15:04-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 143  A*02:06-B*38:02-C*07:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 144  A*03:01-B*38:01-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 145  A*11:01-B*38:02-C*07:02-DRB1*14:05-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 146  A*11:01-B*38:02-C*07:48-DRB1*16:02-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 147  A*11:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 148  A*33:01-B*38:02-C*07:01-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 149  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Vietnamese 0.244643,540
 150  A*24:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.237811,499
 151  A*11:01-B*38:02-C*07:02-DRB1*12:02  Hong Kong Chinese BMDR 0.23607,595
 152  A*02:03-B*38:02-C*07:02-DRB1*15:19  Germany DKMS - China minority 0.23401,282
 153  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.23095,266
 154  A*26:08-B*38:01:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 155  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.19991,734
 156  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.197411,499
 157  A*02:03-B*38:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.19717,595
 158  A*11:01-B*38:02-C*07:02-DRB1*12:02  Germany DKMS - China minority 0.19501,282
 159  A*01:01:01-B*38:01:01-C*07:18:01-DRB1*13:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 160  A*24:03:01-B*38:01:01-C*07:01:01-DRB1*13:05:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 161  A*26:01:01-B*38:01:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 162  A*68:01-B*38:01-C*07:01-DRB1*15:03-DQB1*06:02-DPB1*18:01  Panama 0.1900462
 163  A*02:01-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 164  A*02:03-B*38:02-C*07:02-DRB1*04:03  Hong Kong Chinese BMDR 0.18107,595
 165  B*38:01-C*07:01  Italy pop 5 0.1800975
 166  A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.17801,772
 167  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.17801,772
 168  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.17125,266
 169  A*02:01-B*38:02-C*07:02-DRB1*03:01-DQB1*02:01  India Northeast UCBB 0.1689296
 170  A*11:01-B*38:02-C*07:02-DRB1*12:02-DQB1*05:02  India Northeast UCBB 0.1689296
 171  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1689296
 172  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1689296
 173  A*74:02-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02  India Northeast UCBB 0.1689296
 174  A*33:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.16622,403
 175  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.1577951
 176  A*11:01-B*38:02-C*07:02-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 0.155199,672
 177  A*02:03-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.15332,492
 178  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.14421,734
 179  A*11:01-B*38:02-C*07:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 180  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.14001,734
 181  A*68:01:02-B*38:02:01-C*07:02:01-DRB1*14:04:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 182  A*02:03-B*38:02-C*07:02-DRB1*11:01  Germany DKMS - China minority 0.13501,282
 183  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13405,266
 184  A*26:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.13301,772
 185  A*02:03-B*38:02-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.13197,595
 186  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 0.131350,614
 187  A*02:03-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.130311,446
 188  A*11:01-B*38:02-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.13001,282
 189  A*02:03-B*38:02-C*07:02-DRB1*11:01  Hong Kong Chinese BMDR 0.12757,595
 190  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Southeast Asian 0.125927,978
 191  A*11:01-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.12487,595
 192  A*11:01-B*38:02-C*07:02-DRB1*08:03  Hong Kong Chinese BMDR 0.12327,595
 193  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.12001,772
 194  A*02:03-B*38:02-C*07:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.11942,492
 195  A*02:03-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.11401,772
 196  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1125951
 197  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11095,266
 198  B*38:01-C*07:02  Italy pop 5 0.1100975
 199  A*24:02-B*38:02-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 0.10987,595
 200  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.10801,772

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 827) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional