Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 95 (from 95) 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-B*07-C*15:05-DRB1*10:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 17  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.32305,849
 18  A*29:01:01-B*07:02:01-C*15:05:01-DRB1*10:01:01-DQB1*05:02:04  India Karnataka Kannada Speaking 0.2870174
 19  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.27112,492
 20  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
 21  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.22882,403
 22  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
 23  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
 24  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.19604,856
 25  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 26  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
 27  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
 28  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
 29  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
 30  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 31  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
 32  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
 33  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
 34  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 35  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
 36  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
 37  A*03:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 38  A*34:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 39  A*11:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.05165,829
 40  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
 41  A*33:03-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.04845,829
 42  A*03:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04812,492
 43  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 44  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.046450,614
 45  A*11:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 46  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 47  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 48  A*24:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.04225,849
 49  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
 50  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04012,492
 51  A*02:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.04004,856
 52  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
 53  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.035511,446
 54  A*32:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.03475,829
 55  A*03:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.034611,446
 56  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.03425,829
 57  A*02:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 58  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 59  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Central UCBB 0.03174,204
 60  A*11:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02934,204
 61  A*29:01-B*07:02-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02882,492
 62  A*31:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.02575,829
 63  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.025677,584
 64  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
 65  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 66  A*33:03-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.02092,403
 67  A*02:03-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 68  A*31:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.02072,403
 69  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 70  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 71  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.018133,328
 72  A*01:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.01755,849
 73  A*03:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.01715,849
 74  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.01715,849
 75  A*24:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.016711,446
 76  A*24:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.01625,829
 77  A*02:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.013111,446
 78  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.0128115,374
 79  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 80  A*31:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 81  A*30:02-B*07:02-C*15:05-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 82  A*33:03-B*07:02-C*15:05-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 83  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.010611,446
 84  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
 85  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
 86  A*24:02-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Central UCBB 0.00914,204
 87  A*26:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 88  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
 89  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
 90  A*32:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 91  A*33:03-B*07:05-C*15:05-DRB1*10:01-DQB1*05:03  India South UCBB 0.004411,446
 92  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.004124,582
 93  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
 94  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
 95  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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