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 100 (from 164) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 1.01061,734
 2  A*24:02-B*40:01-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 3  A*11:01-B*40:01-C*07:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Chinese 0.5155194
 4  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
 5  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 6  A*24:02-B*40:01-C*04:01-DRB1*11:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.402411,499
 7  A*02:01-B*40:01-C*15:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.35601,772
 8  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.34181,075
 9  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
 10  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
 11  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
 12  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
 13  A*11:01-B*40:01-C*01:11-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 14  A*24:02-B*40:01-C*07:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 15  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.20635,849
 16  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.20101,772
 17  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 18  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.17314,204
 19  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.17301,159
 20  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.1689296
 21  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.15604,856
 22  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
 23  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.14522,403
 24  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 25  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.13301,772
 26  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.13271,734
 27  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
 28  A*11:01-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.10994,204
 29  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.10901,772
 30  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
 31  A*24:02-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India West UCBB 0.09655,829
 32  A*24:02-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.09434,204
 33  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.09182,492
 34  A*26:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 35  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.08835,849
 36  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.08604,856
 37  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.08454,204
 38  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.07715,829
 39  A*01:01-B*40:01-C*12:03-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 40  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.06872,492
 41  A*11:01:01:01-B*40:01:02-C*03:03:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 42  A*11:01-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.06585,849
 43  A*02:01-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India East UCBB 0.06192,403
 44  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
 45  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
 46  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
 47  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*11:01  Russia Karelia 0.05721,075
 48  A*03:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05651,075
 49  A*31:01-B*40:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*36:01  Russia Karelia 0.05631,075
 50  A*11:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.054911,446
 51  A*02:02-B*40:01-C*04:03-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 52  A*11:01-B*40:01-C*01:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 53  A*26:07-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.05135,849
 54  A*02:17-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05104,856
 55  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 56  A*02:06-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 57  A*02:06-B*40:01-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 58  A*11:01-B*40:01-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 59  A*31:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 60  A*01:01-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India East UCBB 0.04222,403
 61  A*01:01-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04224,204
 62  A*26:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04204,856
 63  A*03:02-B*40:01-C*14:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.04162,403
 64  A*23:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.04162,403
 65  A*02:11-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.03962,492
 66  A*02:11-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.037411,446
 67  A*01:01-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.036811,446
 68  A*11:02:01-B*40:01:02-C*12:02:02-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.03591,734
 69  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 70  A*32:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 71  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 72  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
 73  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
 74  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
 75  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
 76  A*01:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.03255,849
 77  A*02:03:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.03231,734
 78  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
 79  A*02:01-B*40:01-C*07:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 80  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
 81  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
 82  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
 83  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
 84  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
 85  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
 86  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
 87  A*31:01-B*40:01-C*15:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 88  A*02:01:01-B*40:01:02-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 89  A*02:06:01-B*40:01:02-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 90  A*02:06:01-B*40:01:02-C*04:82-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 91  A*02:07:01-B*40:01:02-C*04:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 92  A*11:02:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 93  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
 94  A*24:02:01-B*40:01:02-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 95  A*24:20:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 96  A*11:01-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02712,492
 97  A*68:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.02625,829
 98  A*24:02-B*40:01-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.02475,849
 99  A*03:02-B*40:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 100  A*02:01-B*40:01-C*03:04-DRB1*11:01-DQB1*03:01  India South UCBB 0.023311,446

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).


Displaying 1 to 100 (from 164) records   Pages: 1 2 of 2  


   

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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