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 : 
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Displaying 1 to 94 (from 94) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32:01-B*44:03-C*04:01-DRB1*07:01  Russia Bering Island Aleuts 2.4038104
 2  A*32-B*44-DRB1*07-DQB1*02  Mexico Baja California, La Paz 0.666775
 3  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 4  A*32-B*44-DRB1*07  China Shaanxi Province Han 0.500010,000
 5  A*32:01-B*44:02-C*05:01-DRB1*07:01  Russia Bering Island Aleuts 0.4808104
 6  A*32-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 7  A*32-B*44-DRB1*07-DQB1*02  Mexico Mexico City Center 0.3247152
 8  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.26445,849
 9  A*32:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 10  A*32:01-B*44:02-C*05:01-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 11  A*32:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - China minority 0.19501,282
 12  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 13  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 14  A*32:01-B*44:03-C*08:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 15  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.14194,204
 16  A*32:01-B*44:03-DRB1*07:01  Israel USA Jews 0.12706,058
 17  A*32:01-B*44:03-DRB1*07:01  Israel Poland Jews 0.110013,871
 18  A*32-B*44-DRB1*07  Italy Lombardy 0.1100674
 19  A*32:01-B*44:03-DRB1*07:01  Israel Ashkenazi Jews pop 3 0.10404,625
 20  A*32:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10141,463
 21  A*32:01-B*44:03-C*16:01-DRB1*07:01  Italy pop 5 0.1000975
 22  A*32:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - United Kingdom minority 0.09601,043
 23  A*32-B*44-C*16-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.08761,743
 24  A*32:01-B*44:03-DRB1*07:01  Israel Argentina Jews 0.08734,307
 25  A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 26  A*32:01-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Portugal minority 0.08501,176
 27  A*32:01-B*44:03-DRB1*07:01  Hong Kong Chinese cord blood registry 0.07333,892
 28  A*32:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.073211,446
 29  A*32:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 30  A*32:01-B*44:03-DRB1*07:01  Israel YemenJews 0.065515,542
 31  A*32-B*44-DRB1*07  Brazil Para Cord Blood Unit 0.0630841
 32  A*32:01-B*44:03-DRB1*07:01  Israel USSR Jews 0.060945,681
 33  A*32-B*44-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 34  A*32:01-B*44:03-C*01:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 35  A*32:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 36  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:02-DPB1*17:01  United Arab Emirates Pop 1 0.0467570
 37  A*32:01-B*44:03-C*04:01-DRB1*07:01  Hong Kong Chinese BMDR 0.04617,595
 38  A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04501,159
 39  A*32:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - Portugal minority 0.04501,176
 40  A*32:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.04452,403
 41  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04295,829
 42  A*32-B*44-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 43  A*32-B*44-DRB1*07  Brazil Para State 0.04225,000
 44  A*32-B*44-DRB1*07  Brazil South East Cord Blood 0.042011,409
 45  A*32-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 46  A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03805,266
 47  A*32:01-B*44:03-DRB1*07:01  Israel Tunisia Jews 0.03629,070
 48  A*32:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - France minority 0.03601,406
 49  A*32:01-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - France minority 0.03601,406
 50  A*32:01-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 51  A*32:01-B*44:02-C*05:01-DRB1*07:01  Germany DKMS - Croatia minority 0.03202,057
 52  A*32:01-B*44:03-DRB1*07:01  Israel Bukhara Jews 0.03172,317
 53  A*32-B*44-DRB1*07  Russia Moscow Pop 2 0.03002,000
 54  A*32:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - Austria minority 0.02901,698
 55  A*32:01-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Austria minority 0.02901,698
 56  A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.02635,849
 57  A*32:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02624,204
 58  A*32:01-B*44:03-C*12:03-DRB1*07:01  Germany DKMS - Croatia minority 0.02402,057
 59  A*32:01-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Croatia minority 0.02402,057
 60  A*32:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.02215,849
 61  A*32:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 62  A*32-B*44-C*16-DRB1*07-DQB1*02-DPB1*11  Norway ethnic Norwegians 0.02004,510
 63  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.01715,849
 64  A*32:01-B*44:03-DRB1*07:01  Israel Libya Jews 0.01493,739
 65  A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014023,595
 66  A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01324,204
 67  A*32:01-B*44:03-DRB1*07:01  Israel Ethiopia Jews 0.01305,928
 68  A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.01265,829
 69  A*32:01-B*44:03-C*04:01-DRB1*07:01  Poland DKMS 0.012220,653
 70  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.012211,446
 71  A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 72  A*32:01-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 73  A*32:01-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 74  A*32:01-B*44:03-DRB1*07:01  Israel Morocco Jews 0.011836,718
 75  A*32:01-B*44:02-DRB1*07:01  Israel YemenJews 0.010015,542
 76  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 77  A*32-B*44-C*04-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.01004,510
 78  A*32:01-B*44:03-DRB1*07:01  Israel Arab pop 2 0.009712,301
 79  A*32:01-B*44:02-DRB1*07:01  Israel Kavkazi Jews 0.00882,840
 80  A*32:01-B*44:03-C*12:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00865,849
 81  A*32:01-B*44:03-C*07:06-DRB1*07:03-DQB1*02:02  India North UCBB 0.00855,849
 82  A*32:01-B*44:02-DRB1*07:01  Israel Poland Jews 0.007813,871
 83  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006323,595
 84  A*32:01-B*44:02-DRB1*07:01  Israel Ethiopia Jews 0.00555,928
 85  A*32-B*44-DRB1*07:25  Chile Santiago 0.0052920
 86  A*32-B*44-DRB1*07:26N  Chile Santiago 0.0052920
 87  A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.005011,446
 88  A*32:01-B*44:02-C*05:01-DRB1*07:01  Poland DKMS 0.004420,653
 89  A*32:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 90  A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004023,595
 91  A*32:01-B*44:05-DRB1*07:01  Israel Iraq Jews 0.003813,270
 92  A*32:01:01-B*44:05:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 93  A*32:01-B*44:05-DRB1*07:01  Israel USSR Jews 0.001545,681
 94  A*32:01-B*44:05-DRB1*07:01  Israel Morocco Jews 0.001436,718

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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