Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 89 (from 89) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 4.815343,540
 2  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Vietnam Hanoi Kinh pop 2 4.7000170
 3  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 4.4550101
 4  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.8620174
 5  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.78545,829
 6  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.7020356
 7  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.66701,772
 8  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 9  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.5112185,391
 10  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.488211,446
 11  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.477927,978
 12  A*29:01:01:01-B*07:05-C*15:05-E*01:01:01-F*01:01:02-G*01:01-DRB1*10:01-DQA1*01:05-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 13  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 14  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.402799,672
 15  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Central UCBB 0.34374,204
 16  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.32305,849
 17  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.27112,492
 18  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.231128,927
 19  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.22882,403
 20  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.213770,890
 21  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.2101714
 22  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.19604,856
 23  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 24  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 25  A*24:02:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 26  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 27  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.129728,927
 28  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 29  A*02:06-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 30  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 31  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 32  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 33  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 34  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 35  A*03:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 36  A*34:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 37  A*11:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.05165,829
 38  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.048523,595
 39  A*33:03-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.04845,829
 40  A*03:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04812,492
 41  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 42  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.046450,614
 43  A*11:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 44  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 45  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 46  A*24:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.04225,849
 47  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.04191,242,890
 48  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04012,492
 49  A*02:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.04004,856
 50  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.0369146,714
 51  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.035511,446
 52  A*32:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.03475,829
 53  A*03:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.034611,446
 54  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.03425,829
 55  A*02:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 56  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 57  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Central UCBB 0.03174,204
 58  A*11:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02934,204
 59  A*31:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.02575,829
 60  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.025677,584
 61  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Mexican or Chicano 0.0244261,235
 62  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 63  A*33:03-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.02092,403
 64  A*02:03-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 65  A*31:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.02072,403
 66  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 67  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 68  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.018133,328
 69  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.01755,849
 70  A*03:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.01715,849
 71  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.01715,849
 72  A*24:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.016711,446
 73  A*24:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.01625,829
 74  A*02:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.013111,446
 75  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.0128115,374
 76  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 77  A*31:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 78  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.010611,446
 79  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.01053,456,066
 80  A*02:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.009423,595
 81  A*24:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Central UCBB 0.00914,204
 82  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 83  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP North American Amerindian 0.005935,791
 84  A*03:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.005423,595
 85  A*32:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 86  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.004124,582
 87  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP African American pop 2 0.0025416,581
 88  A*30:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 89  A*11:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.001311,446

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).




   

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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