Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 2,297) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 23  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 2  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 3  A*01:01:01-B*48:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 4  A*01:01:01-B*48:01:01-C*08:03:01-DRB1*13:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 5  A*01:01-B*48:01-C*08:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.00855,849
 6  A*01:01-B*48:01-C*08:01-DRB1*04:01  Germany DKMS - Croatia minority 0.02402,057
 7  A*01:01-B*48:01-C*08:01-DRB1*04:07  Japan pop 16 0.005018,604
 8  A*01:01-B*48:01-C*08:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 9  A*01:01-B*48:01-C*08:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 10  A*01:01-B*48:01-C*08:01-DRB1*09:01  Poland DKMS 0.002420,653
 11  A*01:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.00855,849
 12  A*01:01-B*48:01-C*08:01-DRB1*11:01  Poland DKMS 0.002420,653
 13  A*01:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 14  A*01:01-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 15  A*01:01-B*48:01-C*08:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 16  A*01:01-B*48:01-C*08:01-DRB1*14:02-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 17  A*01:01-B*48:01-C*08:01-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.04401,772
 18  A*01:01-B*48:01-C*08:01-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 19  A*01:01-B*48:01-C*08:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 20  A*01:01-B*48:01-C*08:01-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 21  A*01:01-B*48:01-C*08:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 22  A*01:01-B*48:01-C*08:01-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.01201,999
 23  A*01:01-B*48:01-C*08:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.008711,446
 24  A*01:01-B*48:01-C*08:03-DRB1*09:01-DQB1*05:02  India West UCBB 0.00865,829
 25  A*01:01-B*48:01-C*08:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 26  A*01:01-B*48:01-C*08:03-DRB1*16:02-DQB1*05:02  India East UCBB 0.02082,403
 27  A*01:01-B*48:01-C*08:22-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 28  A*01:01-B*48:01-C*15:04-DRB1*09:01-DQB1*03:03  India East UCBB 0.02082,403
 29  A*01:01-B*48:01-DRB1*01:01  Hong Kong Chinese cord blood registry 0.01273,892
 30  A*01:01-B*48:01-DRB1*04:03  Israel USSR Jews 0.010145,681
 31  A*01:01-B*48:01-DRB1*04:03  Israel USA Jews 0.01666,058
 32  A*01:01-B*48:01-DRB1*04:03  Israel Ashkenazi Jews pop 3 0.01294,625
 33  A*01:01-B*48:01-DRB1*07:01  Israel Libya Jews 0.01323,739
 34  A*01:01-B*48:01-DRB1*09:01  Israel USSR Jews 0.005245,681
 35  A*01:01-B*48:01-DRB1*10:01  Israel USSR Jews 0.000802045,681
 36  A*01:01-B*48:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 37  A*01:01-B*48:01-DRB1*11:04  Israel Ashkenazi Jews pop 3 0.01034,625
 38  A*01:01-B*48:01-DRB1*13:01  New Zealand Maori with Admixed History 0.4762105
 39  A*01:01-B*48:01-DRB1*14:05  Hong Kong Chinese cord blood registry 0.01043,892
 40  A*01:01-B*48:01-DRB1*14:06-DQB1*03:01  Chile Mapuche 0.770066
 41  A*01:01-B*48:03-C*08:01-DRB1*11:01  Hong Kong Chinese BMDR 0.01327,595
 42  A*01:01-B*48:04-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 43  A*01:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.014611,446
 44  A*01:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 45  A*01:01-B*48:04-C*08:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 46  A*01:17-B*48:01-DRB1*04:03  Israel Poland Jews 0.001813,871
 47  A*01:17-B*48:01-DRB1*09:01  Israel USSR Jews 0.000547045,681
 48  A*01:36-B*48:01-DRB1*04:03  Israel Poland Jews 0.001813,871
 49  A*01:36-B*48:01-DRB1*09:01  Israel USSR Jews 0.000547045,681
 50  A*01-B*48-C*08-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.02004,510
 51  A*01-B*48-C*08-DRB1*09-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.01004,510
 52  A*01-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 53  A*01-B*48-DRB1*09  Brazil Para State 0.02265,000
 54  A*01-B*48-DRB1*09  Brazil South Ribeirao Preto 0.3000184
 55  A*01-B*48-DRB1*11-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 56  A*01-B*48-DRB1*11-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 57  A*01-B*48-DRB1*12  Russia Moscow Pop 2 0.03002,000
 58  A*01-B*48-DRB1*14:06-DQB1*03:01  Bolivia Quechua 0.720069
 59  A*01-B*48-DRB1*14-DQB1*03:01  Mexico Baja California, Tijuana 4.000025
 60  A*01-B*48-DRB1*15  Brazil South East Cord Blood 0.002011,409
 61  A*01-B*48-DRB1*15  Iran pop 4 0.0700855
 62  A*02:01:01:01-B*48:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 63  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 64  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 65  A*02:01:01:01-B*48:01:01-C*08:03:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.8333120
 66  A*02:01:01:01-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 67  A*02:01:01-B*48:01:01  China Jingpo Minority 0.4950105
 68  A*02:01:01-B*48:01:01-C*04:01:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 69  A*02:01:01-B*48:01:01-C*07:18:01-DRB1*03:01:01-DQB1*03:19:01-DPA1*02:01:08-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 70  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.6452155
 71  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 72  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 73  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002323,595
 74  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*13:01:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 75  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*13:12:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00765,266
 76  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 77  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*15:01:01-DQB1*05:03:01  China Zhejiang Han 0.05761,734
 78  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 79  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*02:02:01  Poland BMR 0.002123,595
 80  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*04:05:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 81  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.015123,595
 82  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 83  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*08:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 84  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 85  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 86  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 87  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 88  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 89  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.001823,595
 90  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 91  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.007823,595
 92  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*14:03:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 93  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*14:05:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 94  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 95  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 96  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01775,266
 97  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 98  A*02:01:01-B*48:01:01-C*08:22-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 99  A*02:01:01-B*48:01:01-C*15:02:01  China Jingpo Minority 0.4950105
 100  A*02:01:01-B*48:01:01-C*15:02:01-DRB1*15:01:01  China Jingpo Minority 0.5210105

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 2,297) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 23  


   

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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