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 142) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*47-DRB1*13  South Korea pop 8 3.00007,096
 2  A*23:01:01-B*47:01:01-C*07:02:01-DRB1*13:03:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*02:01-B*47:03-C*07:01-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.7987336
 4  A*31-B*47-DRB1*13-DQB1*03:01  Mexico Chiapas Rural 0.4132121
 5  A*68-B*47-C*02-DRB1*13  Macedonia MBMDR - Albanian 0.3906128
 6  A*68-B*47-C*06-DRB1*13-DQB1*05  Albania pop 2 0.3400432
 7  A*68:02-B*47:03-C*07:01-DRB1*13:01-DQB1*06:08-DPB1*01:01  Tanzania Maasai 0.3195336
 8  A*03:01:01-B*47:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 9  A*03-B*47-DRB1*13-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.2101238
 10  A*68-B*47-C*06-DRB1*13  Macedonia 0.1748286
 11  A*68-B*47-DRB1*13  Macedonia 0.1748286
 12  B*47-DRB1*13  Macedonia 0.1748286
 13  A*03:01-B*47:03-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 14  A*23:01-B*47:03-C*06:02-DRB1*13:02-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 15  A*29:02-B*47:03-C*07:06-DRB1*13:01-DQB1*04:02-DPB1*14:01  Tanzania Maasai 0.1597336
 16  A*68:02-B*47:03-C*07:01-DRB1*13:01-DQB1*06:08-DPB1*414:01  Tanzania Maasai 0.1597336
 17  A*68:02-B*47:03-C*07:22-DRB1*13:03-DQB1*05:01-DPB1*106:01  Tanzania Maasai 0.1597336
 18  A*03:01-B*47:01-C*06:02-DRB1*13:01  Italy pop 5 0.1000975
 19  A*31:01-B*47:01-C*07:01-DRB1*13:03  Germany DKMS - Portugal minority 0.08501,176
 20  A*68-B*47-C*06-DRB1*13  Macedonia MBMDR - Macedonian 0.07791,283
 21  A*03-B*47-DRB1*13  Brazil Para State 0.06935,000
 22  A*03-B*47-C*07-DRB1*13-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.06571,743
 23  A*03:01-B*47:01-C*06:02-DRB1*13:01  Germany DKMS - Austria minority 0.06101,698
 24  A*03:01-B*47:01-C*06:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.05954,204
 25  A*03-B*47-DRB1*13  Brazil Para Cord Blood Unit 0.0595841
 26  B*47:01-DRB1*13:02  Italy pop 5 0.0500975
 27  A*03:01-B*47:01-C*06:02-DRB1*13:02  Germany DKMS - Croatia minority 0.04902,057
 28  A*03:01-B*47:01-C*06:02-DRB1*13:03  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 29  A*23-B*47-C*06-DRB1*13  Macedonia MBMDR - Macedonian 0.04781,283
 30  A*02:01-B*47:01-C*06:02-DRB1*13:01  Germany DKMS - Spain minority 0.04501,107
 31  A*30:01-B*47:01-C*06:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 32  A*11:01-B*47:01-C*06:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 33  A*03:01-B*47:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.04275,849
 34  A*03-B*47-DRB1*13-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 35  A*31-B*47-DRB1*13-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 36  A*03:01-B*47:01-C*06:02-DRB1*13:01  Germany DKMS - Romania minority 0.04101,234
 37  A*31-B*47-DRB1*13  Brazil Para State 0.04005,000
 38  A*01:01-B*47:01-DRB1*13:02  Israel Poland Jews 0.037513,871
 39  A*01:01-B*47:01-C*06:02-DRB1*13:02  Germany DKMS - France minority 0.03601,406
 40  A*29:02-B*47:01-C*07:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 41  A*03:02-B*47:01-C*06:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 42  A*01:01:01:01-B*47:01:01-C*06:02:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 43  A*01:01:01:01-B*47:01:01-C*06:02:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 44  A*68:01:02:02-B*47:01:01-C*03:04:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 45  A*31-B*47-C*07-DRB1*13-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 46  A*03:01-B*47:01-DRB1*13:03  Israel Arab pop 2 0.032412,301
 47  A*02-B*47-C*06-DRB1*13  Macedonia MBMDR - Macedonian 0.03011,283
 48  A*01-B*47-DRB1*13  Russia Moscow Pop 2 0.03002,000
 49  A*32-B*47-DRB1*13  Brazil Para State 0.03005,000
 50  A*01:01-B*47:01-C*06:02-DRB1*13:02-DQB1*06:04  India North UCBB 0.02565,849
 51  A*01:01-B*47:01-DRB1*13:02  Israel USA Jews 0.02526,058
 52  A*31:01-B*47:01-C*06:02-DRB1*13:03  Germany DKMS - Croatia minority 0.02402,057
 53  A*01:01-B*47:01-DRB1*13:02  Israel Argentina Jews 0.02324,307
 54  A*03:01-B*47:01-DRB1*13:02  Israel Arab pop 2 0.022912,301
 55  A*23:01-B*47:01-C*06:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 56  A*68-B*47-C*06-DRB1*13-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.02004,510
 57  A*03:02-B*47:01-DRB1*13:02  Israel USA Jews 0.01936,058
 58  A*03:02-B*47:01-DRB1*13:05  Israel USA Jews 0.01936,058
 59  A*02:01:01-B*47:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.018623,595
 60  A*03:02-B*47:01-DRB1*13:02  Israel Ashkenazi Jews pop 3 0.01864,625
 61  A*29-B*47-DRB1*13:01  Chile Santiago 0.0181920
 62  A*29-B*47-DRB1*13:105  Chile Santiago 0.0181920
 63  A*29-B*47-DRB1*13:112  Chile Santiago 0.0181920
 64  A*02:01-B*47:01-DRB1*13:01  Israel Kavkazi Jews 0.01762,840
 65  A*26:01-B*47:01-C*06:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01725,829
 66  A*01:01-B*47:01-DRB1*13:02  Israel Ashkenazi Jews pop 3 0.01634,625
 67  A*01:01-B*47:01-DRB1*13:02  Israel USSR Jews 0.014845,681
 68  A*03-B*47-DRB1*13  Brazil South East Cord Blood 0.014011,409
 69  A*03-B*47-DRB1*13:14  Chile Santiago 0.0136920
 70  A*11-B*47-DRB1*13  Brazil South East Cord Blood 0.013011,409
 71  A*03:01-B*47:01-DRB1*13:01  Hong Kong Chinese cord blood registry 0.01283,892
 72  A*03:01-B*47:01-C*06:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01273,456,066
 73  A*03:02-B*47:01-DRB1*13:02  Israel USSR Jews 0.012545,681
 74  A*24:03-B*47:01-DRB1*13:02  Israel Argentina Jews 0.01164,307
 75  A*02:01-B*47:01-C*06:02-DRB1*13:01  Poland DKMS 0.011420,653
 76  A*03:01-B*47:01-DRB1*13:02  Israel Ashkenazi Jews pop 3 0.01084,625
 77  A*02:02-B*47:01-DRB1*13:02  Israel Druze 0.01015,914
 78  A*03:01-B*47:01-C*06:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 79  A*03-B*47-C*06-DRB1*13-DQB1*06-DPB1*05  Norway ethnic Norwegians 0.01004,510
 80  A*11-B*47-C*06-DRB1*13-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.01004,510
 81  A*11-B*47-DRB1*13  Brazil Para State 0.01005,000
 82  A*24:02-B*47:01-C*12:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 83  A*32:20-B*47:01-C*06:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 84  A*68:01-B*47:01-C*06:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 85  A*03:01-B*47:01-C*06:02-DRB1*13:03  Poland DKMS 0.009920,653
 86  A*01:03-B*47:01-DRB1*13:02  Israel Ethiopia Jews 0.00905,928
 87  A*31:01-B*47:01-C*06:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 88  A*23:01-B*47:01-C*06:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 89  A*01:01-B*47:01-DRB1*13:03  Israel Ethiopia Jews 0.00845,928
 90  A*03:01-B*47:01-DRB1*13:02  Israel USA Jews 0.00836,058
 91  A*03:01:01-B*47:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.008223,595
 92  A*26:01-B*47:01-DRB1*13:02  Israel Arab pop 2 0.008112,301
 93  A*31-B*47-DRB1*13  Brazil South East Cord Blood 0.008011,409
 94  A*23:01-B*47:01-DRB1*13:03  Israel Ethiopia Jews 0.00765,928
 95  A*03:02-B*47:01-DRB1*13:02  Israel Ethiopia Jews 0.00735,928
 96  A*03:01-B*47:01-DRB1*13:02  Israel Poland Jews 0.007213,871
 97  A*03:01:01-B*47:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.007223,595
 98  A*68:01-B*47:01-DRB1*13:02  Israel Iran Jews 0.00658,153
 99  A*01:01:01-B*47:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.006323,595
 100  A*68:01-B*47:01-DRB1*13:01  Israel Iran Jews 0.00618,153

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 142) 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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