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 165) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 3.711950,614
 2  A*11:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 2.353050,614
 3  A*11-B*38-C*07-DRB1*15-DQB1*05-DPB1*02  Myanmar Kayin 2.273044
 4  A*34:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 1.989050,614
 5  A*02-B*38-DRB1*15-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 6  A*11:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Northeast UCBB 1.0135296
 7  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 8  A*24:07-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 0.910550,614
 9  A*26:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:02-DQB1*05:01  USA NMDP Vietnamese 0.812843,540
 10  A*02:06-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 0.605150,614
 11  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.5783951
 12  A*02:50-B*38:01-DRB1*15:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 13  A*02:06:01-B*38:02:01-C*04:03:01-DRB1*15:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 14  A*03:02:01-B*38:02:01-C*08:01:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 15  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.43801,772
 16  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.407911,499
 17  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:07-DPB1*19:01  Russia Belgorod region 0.3268153
 18  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.31202,403
 19  A*24:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 20  A*01:01-B*38:02-C*07:02-DRB1*15:02-DQA1*01:02-DQB1*05:02-DPB1*04:01  USA San Diego 0.2600496
 21  A*34:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.259211,499
 22  A*34-B*38-DRB1*15-DQB1*05  Mexico Coahuila, Torreon 0.2500396
 23  A*24:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.237811,499
 24  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.197411,499
 25  A*34:01-B*38:02-C*04:01-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Indian 0.1845271
 26  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.17801,772
 27  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1689296
 28  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1689296
 29  A*33:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.16622,403
 30  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.1577951
 31  A*26:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.13301,772
 32  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.12001,772
 33  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1125951
 34  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.10801,772
 35  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1052951
 36  A*24:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 37  A*34:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 38  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India East UCBB 0.10402,403
 39  A*02:06-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 40  A*24:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 41  A*34:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 42  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India West UCBB 0.08585,829
 43  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.08525,829
 44  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Central UCBB 0.08334,204
 45  A*74:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India East UCBB 0.08322,403
 46  A*74:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.07695,849
 47  A*74:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Central UCBB 0.07144,204
 48  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 49  A*02:16-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 50  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 51  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 52  A*33:03-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 53  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India South UCBB 0.069811,446
 54  A*34:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0676951
 55  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.06022,492
 56  A*74:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.06005,829
 57  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:02:01  China Zhejiang Han 0.05771,734
 58  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 59  A*11:01-B*38:02-C*07:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 60  A*11:01-B*38:02-C*07:02-DRB1*15:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 61  A*24:02-B*38:02-C*15:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 62  A*24:07-B*38:02-C*07:02-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 63  A*24:15-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 64  A*33:03-B*38:02-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 65  A*34:01-B*38:02-C*07:05-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 66  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Central UCBB 0.04764,204
 67  A*02:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0452951
 68  A*02:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 69  A*03:01-B*38:02-C*12:03-DRB1*15:04-DQB1*05:02  USA Asian pop 2 0.04401,772
 70  A*11:01-B*38:02-C*07:27-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 71  A*11:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 72  A*25:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 73  A*33:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 74  A*74:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  USA Asian pop 2 0.04401,772
 75  A*74:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.043711,446
 76  A*24:02-B*38:01-C*12:03-DRB1*15:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 77  A*26:01-B*38:01-C*12:03-DRB1*15:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 78  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.04202,403
 79  A*24-B*38-DRB1*15-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 80  A*26-B*38-DRB1*15-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 81  A*11:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India East UCBB 0.04162,403
 82  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Central UCBB 0.03574,204
 83  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.03435,829
 84  A*29:01-B*38:01-C*12:03-DRB1*15:01-DQB1*05:02  Germany DKMS - Turkey minority 0.03104,856
 85  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 86  A*02:01:01-B*38:01:01-C*03:02:02-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 87  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 88  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 89  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 90  A*11:01:01-B*38:02:01-C*14:02:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 91  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India North UCBB 0.02565,849
 92  A*68:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Central UCBB 0.02384,204
 93  A*02:06-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.021811,446
 94  A*02-B*38-C*07-DRB1*15-DQB1*05-DPB1*04  Myanmar Bamar 0.021746
 95  A*11:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.021711,446
 96  A*01:01-B*38:02-C*07:02-DRB1*15:01-DQB1*05:02  India East UCBB 0.02082,403
 97  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  India East UCBB 0.02082,403
 98  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India East UCBB 0.02082,403
 99  A*11:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.02082,403
 100  A*11:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403

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 165) 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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