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 91 (from 91) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*27-C*02:02-DRB1*13-DQB1*06  Russia North Ossetian 0.7800127
 2  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 3  A*32-B*27-C*02:02-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 4  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 5  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 6  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.20401,075
 7  A*01:01-B*27:05-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 8  A*32:01-B*27:05-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 9  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 10  A*30:02-B*27:03-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*03:01  Panama 0.1900462
 11  A*32:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:01  India Northeast UCBB 0.1689296
 12  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.13251,510
 13  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 14  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.08221,075
 15  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.076023,595
 16  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*06:01  Russia Karelia 0.07301,075
 17  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.05904,856
 18  A*24:02-B*27:02-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.05651,075
 19  A*23:01-B*27:05-C*02:02-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 20  A*30:02-B*27:03-C*02:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.04402,411
 21  A*68:01-B*27:05-C*02:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.04402,411
 22  A*02:01-B*27:02-C*02:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.04104,856
 23  A*32:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.03725,849
 24  A*02:01:01-B*27:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.034323,595
 25  A*30:02-B*27:03-C*02:02-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 26  A*02:01-B*27:02-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*02:01:01:01-B*27:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*24:02:01:01-B*27:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*24:02:01:01-B*27:05:02-C*02:02:02-DRB1*13:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 31  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.032323,595
 32  A*03:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.031423,595
 33  A*24:02-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.02715,829
 34  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02624,204
 35  A*68:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02425,849
 36  A*11:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02384,204
 37  A*24:02-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.02343,456,066
 38  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.02263,456,066
 39  A*24:02-B*27:02-C*02:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02104,856
 40  A*33:03-B*27:02-C*02:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 41  A*02:06-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 42  A*11:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 43  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.015223,595
 44  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.012523,595
 45  A*02:11-B*27:05-C*02:02-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01194,204
 46  A*24:02-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 47  A*68:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 48  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.01173,456,066
 49  A*24:02-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.01055,849
 50  A*24:02-B*27:02-C*02:02-DRB1*13:01-DQB1*06:02  India Tamil Nadu 0.01002,492
 51  A*24:02-B*27:02-C*02:02-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.01002,492
 52  A*02:01-B*27:05-C*02:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 53  A*03:01-B*27:02-C*02:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 54  A*24:02-B*27:02-C*02:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 55  A*30:04-B*27:05-C*02:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 56  A*32:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.009911,446
 57  A*03:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00924,204
 58  A*02:01-B*27:05-C*02:02-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 59  A*33:03-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 60  A*68:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 61  A*03:01-B*27:05-C*02:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 62  A*03:57-B*27:05-C*02:02-DRB1*13:02-DQB1*06:04  India North UCBB 0.00855,849
 63  A*24:07-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 64  A*32:01-B*27:05-C*02:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 65  A*32:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00754,204
 66  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.006723,595
 67  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.005523,595
 68  A*32:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005023,595
 69  A*68:01:02-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004923,595
 70  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004723,595
 71  A*24:02-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 72  A*31:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:110  India South UCBB 0.004411,446
 73  A*31:01:02-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003723,595
 74  A*31:01:02-B*27:05:02-C*02:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.003723,595
 75  A*03:01:01-B*27:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003023,595
 76  A*23:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002723,595
 77  A*11:01:01-B*27:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002623,595
 78  A*24:02:01-B*27:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002523,595
 79  A*32:01:01-B*27:02:01-C*02:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002423,595
 80  A*26:01:01-B*27:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002423,595
 81  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 82  A*01:85-B*27:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 83  A*03:01:01-B*27:14-C*02:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 84  A*03:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 85  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*13:03:01-DQB1*06:03:01  Poland BMR 0.002123,595
 86  A*23:01:01-B*27:02:01-C*02:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 87  A*24:02:01-B*27:02:01-C*02:02:02-DRB1*13:05:01-DQB1*06:03:01  Poland BMR 0.002123,595
 88  A*68:01:01-B*27:05:02-C*02:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 89  A*02:01:01-B*27:02:01-C*02:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 90  A*29:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.001823,595
 91  A*24:02:01-B*27:02:01-C*02:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.001723,595

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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