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 102) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*23:01-B*37:01-DRB1*14:01:01  Portugal Center 1.000050
 2  A*01-B*37-C*06-DRB1*14  Myanmar Chin 0.909055
 3  A*02:01:01-B*37:01:01-C*07:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 4  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.4210356
 5  A*33-B*37-DRB1*14-DQB1*05  Mexico Guerrero state 0.3472144
 6  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*14:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 7  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 8  A*01:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - Bosnia and Herzegovina minority 0.18801,028
 9  A*24:02-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 10  A*02-B*37-DRB1*14-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 11  A*01-B*37-DRB1*14  Italy Lombardy 0.1500674
 12  A*01:01-B*37:01-C*12:03-DRB1*14:01-DQB1*02:02  Italy pop 5 0.1400975
 13  A*01:01-B*37:01-C*06:02-DRB1*14:01  Italy pop 5 0.1000975
 14  A*32-B*37-DRB1*14:06-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 15  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.07724,204
 16  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.07485,849
 17  A*03:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - Netherlands minority 0.07301,374
 18  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 19  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 20  A*33:03-B*37:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*16:01  Sri Lanka Colombo 0.0700714
 21  A*02-B*37-DRB1*14  Italy Lombardy 0.0700674
 22  A*24-B*37-DRB1*14  Italy Lombardy 0.0700674
 23  A*03-B*37-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 0.0602830
 24  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.049911,446
 25  A*01:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - United Kingdom minority 0.04801,043
 26  A*31:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - United Kingdom minority 0.04801,043
 27  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.04585,829
 28  A*03:01-B*37:01-C*06:02-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.04301,159
 29  A*03:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - France minority 0.03601,406
 30  A*24:02-B*37:01-C*12:03-DRB1*14:01  Germany DKMS - France minority 0.03601,406
 31  A*68:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - France minority 0.03601,406
 32  A*24:02-B*37:01-C*06:02-DRB1*14:01-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 33  A*03:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India Central UCBB 0.03134,204
 35  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 36  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 37  A*01-B*37-DRB1*14  Russia Moscow Pop 2 0.03002,000
 38  A*74:03-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - Austria minority 0.02901,698
 39  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 40  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India South UCBB 0.028311,446
 41  A*02-B*37-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 42  A*02:01-B*37:01-C*06:02-DRB1*14:05-DQB1*05:03  USA Asian pop 2 0.02201,772
 43  A*69:01-B*37:01-C*06:02-DRB1*14:31-DQB1*05:03  India Tamil Nadu 0.02012,492
 44  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India West UCBB 0.01725,829
 45  A*01:01-B*37:01-C*06:02-DRB1*14:54  Japan pop 16 0.016018,604
 46  A*01:01-B*37:01-DRB1*14:01  Israel Arab pop 2 0.014912,301
 47  A*33:03-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.01435,849
 48  A*03:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01414,204
 49  A*11:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01324,204
 50  A*01:01-B*37:01-DRB1*14:05  Hong Kong Chinese cord blood registry 0.01283,892
 51  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.01192,403
 52  A*02:06-B*37:01-C*06:02-DRB1*14:01-DQB1*05:03  India Central UCBB 0.01194,204
 53  A*32:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 54  A*03:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.010411,446
 55  A*03:02-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.01045,849
 56  A*23:01-B*37:01-C*06:02-DRB1*14:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 57  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 58  A*11-B*37-DRB1*14  Brazil South East Cord Blood 0.009011,409
 59  A*01:01-B*37:04-C*06:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 60  A*02:06-B*37:01-C*06:02-DRB1*14:04-DQB1*06:01  India West UCBB 0.00865,829
 61  A*02:06-B*37:01-C*06:02-DRB1*14:17-DQB1*06:03  India West UCBB 0.00865,829
 62  A*11:01-B*37:01-C*06:02-DRB1*14:15-DQB1*05:03  India West UCBB 0.00865,829
 63  A*02:01-B*37:01-C*06:02-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 64  A*02:11-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 65  A*02:02-B*37:01-DRB1*14:04  Israel Tunisia Jews 0.00809,070
 66  A*02:02-B*37:01-DRB1*14:06  Israel Tunisia Jews 0.00809,070
 67  A*11:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.007811,446
 68  A*02:11-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00775,829
 69  A*02:01-B*37:01-DRB1*14:04  Israel Libya Jews 0.00673,739
 70  A*02:01-B*37:01-DRB1*14:06  Israel Libya Jews 0.00673,739
 71  A*01:01-B*37:01-C*06:02-DRB1*14:05  Hong Kong Chinese BMDR 0.00667,595
 72  A*01:01-B*37:01-DRB1*14:01  Israel Iran Jews 0.00628,153
 73  A*02:02-B*37:01-DRB1*14:01  Israel Tunisia Jews 0.00619,070
 74  A*68:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.006011,446
 75  A*02:01-B*37:01-DRB1*14:01  Israel Tunisia Jews 0.00559,070
 76  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.00515,849
 77  A*03-B*37-DRB1*14  Brazil Para State 0.00515,000
 78  A*01:01-B*37:01-C*06:02-DRB1*14:06  Japan pop 16 0.005018,604
 79  A*26:01-B*37:01-C*06:02-DRB1*14:54  Japan pop 16 0.005018,604
 80  A*01:01-B*37:01-C*06:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 81  A*01:01-B*37:01-C*06:02-DRB1*14:10-DQB1*05:10  India South UCBB 0.004411,446
 82  A*03:01-B*37:01-C*06:02-DRB1*14:15-DQB1*05:03  India South UCBB 0.004411,446
 83  A*24:02-B*37:01-C*06:02-DRB1*14:28-DQB1*05:03  India South UCBB 0.004411,446
 84  A*32:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 85  A*68:01-B*37:01-C*06:02-DRB1*14:11-DQB1*05:03  India South UCBB 0.004411,446
 86  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.004223,595
 87  A*02:01-B*37:01-C*06:02-DRB1*14:01  Poland DKMS 0.004120,653
 88  A*03-B*37-DRB1*14  Brazil South East Cord Blood 0.004011,409
 89  A*02:06-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.003811,446
 90  A*02:11-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.003711,446
 91  A*01:01-B*37:01-DRB1*14:01  Israel Poland Jews 0.003613,871
 92  A*02:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.003211,446
 93  A*11:01-B*37:01-C*06:02-DRB1*14:01  Poland DKMS 0.003120,653
 94  A*24:02-B*37:01-C*01:02-DRB1*14:01  Poland DKMS 0.002420,653
 95  A*24:02:01-B*37:01:01-C*03:04:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 96  A*24:02:01-B*37:01:10-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  Poland BMR 0.002123,595
 97  A*32:01:01-B*37:01:01-C*04:01:01-DRB1*14:02:01-DQB1*03:01:01  Poland BMR 0.002123,595
 98  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 99  A*25:01-B*37:01-DRB1*14:01  Israel USSR Jews 0.002045,681
 100  A*01:01-B*37:01-DRB1*14:01  Israel USSR Jews 0.001645,681

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 102) 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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