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 93 (from 93) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.43621,734
 2  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 3  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.34181,075
 4  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*23:01:01  Russia Belgorod region 0.3268153
 5  A*01:01:01-B*40:01:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 6  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.27341,734
 7  A*01:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 8  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.20635,849
 9  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.20101,772
 10  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 11  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.17314,204
 12  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.17301,159
 13  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.1689296
 14  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.15604,856
 15  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.155523,595
 16  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.14522,403
 17  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 18  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.13301,772
 19  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 20  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.10901,772
 21  A*68:01:02:02-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 22  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.09182,492
 23  A*26:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 24  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.08835,849
 25  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.08604,856
 26  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.08454,204
 27  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.07715,829
 28  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.06872,492
 29  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.05783,456,066
 30  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 31  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 32  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*11:01  Russia Karelia 0.05721,075
 33  A*03:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05651,075
 34  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.054911,446
 35  A*02:17-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05104,856
 36  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 37  A*02:06-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 38  A*31:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 39  A*26:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04204,856
 40  A*23:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.04162,403
 41  A*02:11-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.03962,492
 42  A*02:11-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.037411,446
 43  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 44  A*32:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  A*11:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.03331,734
 47  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 48  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 49  A*24:02:01:01-B*40:01:02-C*03:04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 50  A*01:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.03255,849
 51  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.031223,595
 52  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 53  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 54  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 55  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 56  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 57  A*26:01-B*40:01-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 58  A*31:01-B*40:01-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 59  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:03-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 60  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.02625,829
 61  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.023311,446
 62  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.02245,829
 63  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.02132,403
 64  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 65  A*01:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.01975,829
 66  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01913,456,066
 67  A*03:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.01785,849
 68  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01523,456,066
 69  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014823,595
 70  A*01:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.013911,446
 71  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.013823,595
 72  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.01325,849
 73  A*01:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01304,856
 74  A*32:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01254,204
 75  A*02:11-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01234,204
 76  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 77  A*03:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01183,456,066
 78  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01153,456,066
 79  A*03:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01093,456,066
 80  A*26:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010923,595
 81  A*24:11N-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.01065,829
 82  A*03:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.008611,446
 83  A*26:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 84  A*02:20-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 85  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008523,595
 86  A*03:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.00835,829
 87  A*32:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006523,595
 88  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004923,595
 89  A*02:03-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 90  A*30:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 91  A*33:03-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.00295,829
 92  A*03:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:07-DQB1*03:01:01  Poland BMR 0.002123,595
 93  A*29:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595

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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