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 1,163) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*13-DRB1*07  Russia South Ural Bashkir 12.2000146
 2  A*30:01-B*13:02-DRB1*07:01  China Jiangsu Han 8.87003,238
 3  B*13-DRB1*07  Russia South Ural Tatar 8.8000135
 4  A*30:01-B*13:02-DRB1*07:01  China Jiangsu Province Han 8.5400334
 5  A*30-B*13-DRB1*07  Pakistan Karachi Parsi 8.300091
 6  A*30-B*13-DRB1*07  China Jiangsu Province 6.900020,248
 7  A*02-B*13-DRB1*07  Russia South Ural Bashkir 6.7000146
 8  A*30:01-B*13:02-DRB1*07:01  Israel Bukhara Jews 5.38002,317
 9  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 4.51801,282
 10  A*30-B*13-DRB1*07  China Shaanxi Province Han 4.100010,000
 11  A*30:01-B*13:02-C*06:02-DRB1*07:01  Taiwan pop 2 3.9000364
 12  B*13-DRB1*07  Russia South Ural Russian 3.8000207
 13  A*01-B*13-DRB1*07-DQB1*02  Mexico Hidalgo, Pachuca 3.658541
 14  A*30-B*13-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 3.658582
 15  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 3.6238192
 16  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 17  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 18  A*30-B*13-DRB1*07-DQB1*02  Mexico Veracruz, Orizaba 3.333360
 19  A*25-B*13-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 3.1200112
 20  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 3.11091,734
 21  A*30-B*13-C*06:02-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 3.0000150
 22  B*13:02-C*06:02-DRB1*07:01  South Korea pop 3 2.9000485
 23  B*13:02-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 2.9000485
 24  A*02:01-B*13:02-C*06:02-DRB1*07:01  Russia Bering Island Aleuts 2.8846104
 25  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 2.7000485
 26  A*30:01-B*13:02-DRB1*07:01  South Korea pop 3 2.7000485
 27  A*01:01-B*13:02-DRB1*07:01  Israel Morocco Jews 2.690036,718
 28  A*03:02-B*13:02-DRB1*07:01  Israel Morocco Jews 2.530036,718
 29  A*30-B*13-DRB1*07  Pakistan Mixed Pathan 2.5000100
 30  A*30-B*13-DRB1*07-DQB1*02  Mexico Sonora, Ciudad Obregón 2.4476143
 31  A*68-B*13-DRB1*07  Russia South Ural Bashkir 2.4000146
 32  A*30:01-B*13:02-DRB1*07:01  China Beijing Shijiazhuang Tianjian Han 2.3000618
 33  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.258577,584
 34  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 2.24501,028
 35  A*02-B*13-C*06-DRB1*07  Russia Tatars 2.2100355
 36  A*30:01-B*13:02-DRB1*07:01  South Korea pop 10 2.19004,128
 37  A*02-B*13-DRB1*07  Russia South Ural Russian 2.1000207
 38  B*13-DRB1*07  Macedonia 2.0979286
 39  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 2.025499,672
 40  A*30:01-B*13:02-DRB1*07:01  Israel Kavkazi Jews 1.98002,840
 41  A*30-B*13-DRB1*07:01  South Korea pop 1 1.9000324
 42  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.84081,075
 43  A*02-B*13-DRB1*07  Russia Moscow Pop 2 1.82002,000
 44  A*02:01-B*13:02-DRB1*07:01  Azores Central Islands 1.800059
 45  A*02-B*13-DRB1*07  Russia South Ural Tatar 1.8000135
 46  B*13:02-DRB1*07:01  Taiwan Hakka 1.800055
 47  B*13-DRB1*07  Greece North 1.8000500
 48  A*11:01-B*13:02-DRB1*07:01  Malaysia Kelantan 1.785728
 49  A*30:01-B*13:01-DRB1*07:01-DQB1*02:01  Iran Yazd 1.785756
 50  A*30-B*13-DRB1*07-DQB1*02  Mexico Veracruz, Cordoba 1.785756
 51  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 1.775923,595
 52  A*30-B*13-DRB1*07  Iran pop 4 1.6807855
 53  A*02-B*13-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 1.666730
 54  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.6340153
 55  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 1.6130124
 56  A*02:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 1.609720,653
 57  A*02-B*13-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 1.6000127
 58  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 1.6000975
 59  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.57491,510
 60  A*02-B*13-C*06-DRB1*07  Macedonia MBMDR - Albanian 1.5625128
 61  A*03:01-B*13:01-C*06:02-DRB1*07:01-DQB1*02:01  Iran Gorgan 1.560064
 62  A*30-B*13-DRB1*07  Thailand pop 4 1.560016,807
 63  A*01-B*13-DRB1*07  Russia South Ural Tatar 1.5000135
 64  A*24-B*13-DRB1*07  Russia South Ural Bashkir 1.5000146
 65  A*30-B*13-DRB1*07-DQB1*02  Mexico Mexico City West 1.470633
 66  A*30:01-B*13:02-DRB1*07:01  Israel USSR Jews 1.410045,681
 67  A*03-B*13-DRB1*07  Russia South Ural Tatar 1.4000135
 68  A*30:01-B*13:02-DRB1*07:01  Israel Poland Jews 1.390013,871
 69  A*30-B*13-DRB1*07-DQB1*02  Mexico Sinaloa Rural 1.3661183
 70  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 1.36301,698
 71  A*24-B*13-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 72  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 1.3333150
 73  A*30:01-B*13:02-DRB1*07:01  Taiwan Tzu Chi Morrow Donor Registry 1.331046,682
 74  A*02-B*13-DRB1*07-DQA1*03-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3100112
 75  A*02:01-B*13:02-DRB1*07:01  Azores Oriental Islands 1.300043
 76  A*02-B*13-DRB1*07-DQA1*02:01-DQB1*02:01  Georgia Svaneti Region Svan 1.300080
 77  A*30:01-B*13:02-DRB1*07:01-DPB1*17:01  China Canton Han 1.3000264
 78  A*30-B*13-DRB1*07  Brazil Parana Afro Brazilian 1.300077
 79  A*30-B*13-DRB1*07-DQB1*02  Mexico Durango, Durango city 1.2903153
 80  A*30:01-B*13:02-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 1.28347,595
 81  A*30-B*13-DRB1*07-DQB1*02  Mexico Jalisco, Tlaquepaque 1.282139
 82  A*30-B*13-DRB1*07-DQB1*02  Ecuador Amazonia Mixed Ancestry 1.282139
 83  A*33-B*13-DRB1*07  India sub-Himalayan West Bengal Kami 1.2700158
 84  A*30-B*13-DRB1*07-DQB1*02  Mexico Sonora Rural 1.2690197
 85  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Costa Rica Amerindians (G) 1.2647125
 86  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 1.25101,159
 87  A*30:01-B*13:02-DRB1*07:01  Israel Iraq Jews 1.240013,270
 88  A*30:01-B*13:02-DRB1*07:01  Hong Kong Chinese cord blood registry 1.20643,892
 89  A*02-B*13:02-DRB1*07:01  Tunisia pop 3 1.2000104
 90  A*30:01-B*13:02-C*06:02-DRB1*07:01  Italy pop 5 1.1800975
 91  A*32-B*13-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 1.1800127
 92  A*02-B*13-DRB1*07-DQB1*02  Mexico Queretaro Rural 1.162843
 93  A*30:02-B*13:02-DRB1*07:01  Israel Morocco Jews 1.150036,718
 94  A*30:01-B*13:02-DRB1*07:01  Israel Ashkenazi Jews pop 3 1.13004,625
 95  A*02-B*13-DRB1*07-DQB1*02  Mexico Queretaro, Queretaro city 1.111145
 96  A*30-B*13-DRB1*07  Italy Lombardy 1.1100674
 97  A*30:01-B*13:02-DRB1*07:01:01  Portugal North 1.100046
 98  A*30:02-B*13:02-DRB1*07:01  Israel Argentina Jews 1.10004,307
 99  A*30-B*13-DRB1*07  Russia South Ural Tatar 1.1000135
 100  A*30-B*13-DRB1*07:01  USA NMDP Asian and Pacific Islander 1.1000359,423

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 1,163) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  


   

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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