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 100 (from 140) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*27:01-DRB1*10:01-DQB1*05:02  Iran Saqqez-Baneh Kurds 0.833360
 2  A*33:01-B*27:07-DRB1*10:01  Israel Druze 0.52405,914
 3  A*24-B*27-DRB1*10-DQB1*05  Mexico Sonora, Hermosillo 0.505199
 4  A*02-B*27-DRB1*10-DQB1*05  Ecuador Coast Mixed Ancestry 0.4202238
 5  A*32-B*27-C*01-DRB1*10-DQB1*02  Albania pop 2 0.3400432
 6  A*68:01:01-B*27:05:02-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 7  A*02:01-B*27:05-C*02:02-DRB1*10:01  Italy pop 5 0.3000975
 8  A*68-B*27-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 9  A*30-B*27-DRB1*10-DQB1*05  Ecuador Coast Mixed Ancestry 0.2101238
 10  A*32:01:01-B*27:03-C*02:02:02-DRB1*10:01:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 11  A*32-B*27-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.1848539
 12  A*24:02-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 13  A*33:03-B*27:05-C*07:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 14  A*02:01-B*27:05-C*01:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 15  A*02:01-B*27:05-C*04:01-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 16  A*11:01-B*27:05-C*15:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 17  A*24:02:01-B*27:07:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 18  A*24-B*27-DRB1*10  Albania pop 2 0.1200432
 19  A*26-B*27-DRB1*10  Albania pop 2 0.1200432
 20  A*03:01-B*27:05-C*02:02-DRB1*10:01  Germany DKMS - China minority 0.11701,282
 21  A*03:01:01-B*27:05:02-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.11531,734
 22  A*02:01-B*27:05-C*01:02-DRB1*10:01  Italy pop 5 0.1000975
 23  B*27:05-DRB1*10:01  Italy pop 5 0.1000975
 24  A*02-B*27-DRB1*10-DQB1*05  Ecuador Mixed Ancestry 0.08531,173
 25  A*68-B*27-DRB1*10:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 26  A*11:01-B*27:07-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 27  A*11-B*27-DRB1*10-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 28  A*03:02-B*27:02-DRB1*10:01  Israel Kavkazi Jews 0.05362,840
 29  A*03:01-B*27:02-C*02:02-DRB1*10:01  Germany DKMS - Greece minority 0.05301,894
 30  A*03:02-B*27:05-DRB1*10:01  Israel Kavkazi Jews 0.05282,840
 31  A*03:01-B*27:03-C*03:04-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 32  A*01:01-B*27:02-DRB1*10:01  Israel Arab pop 2 0.044112,301
 33  A*11:03-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 34  A*03:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 35  A*26:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 36  A*11-B*27-DRB1*10-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 37  A*30-B*27-DRB1*10-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 38  A*26-B*27-C*02-DRB1*10  Macedonia MBMDR - Macedonian 0.03901,283
 39  A*01:01-B*27:05-C*02:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.03601,374
 40  A*03:01-B*27:05-C*01:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.03601,374
 41  A*68:02-B*27:03-C*07:01-DRB1*10:01  Germany DKMS - France minority 0.03601,406
 42  A*68-B*27-DRB1*10  Brazil South East Cord Blood 0.036011,409
 43  A*24:02-B*27:02-C*05:01-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*30-B*27-C*02-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 45  A*26:01-B*27:05-C*01:02-DRB1*10:01  Germany DKMS - Austria minority 0.02901,698
 46  A*33:01-B*27:07-DRB1*10:01  Israel YemenJews 0.029015,542
 47  A*24:305-B*27:05:02-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 48  A*02:17-B*27:02-C*02:02-DRB1*10:01  Germany DKMS - Greece minority 0.02601,894
 49  A*02:17-B*27:05-C*01:02-DRB1*10:01  Germany DKMS - Greece minority 0.02601,894
 50  A*03:01-B*27:03-DRB1*10:01  Hong Kong Chinese cord blood registry 0.02443,892
 51  A*02:01-B*27:02-DRB1*10:01  Israel Arab pop 2 0.024012,301
 52  A*33:01-B*27:05-DRB1*10:01  Israel YemenJews 0.022615,542
 53  A*01:01-B*27:02-DRB1*10:01  Israel Bukhara Jews 0.02162,317
 54  A*23:01-B*27:02-C*02:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 55  A*02:01-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 56  A*02:11-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 57  A*03:01-B*27:05-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 58  A*11:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 59  A*24:02-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 60  A*03:01-B*27:02-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 61  A*03:01-B*27:03-C*02:02-DRB1*10:01  Hong Kong Chinese BMDR 0.01977,595
 62  A*24:02-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01725,829
 63  A*26:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.01725,849
 64  A*68:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01725,829
 65  A*11-B*27-DRB1*10  Brazil Para State 0.01715,000
 66  A*32:01-B*27:02-DRB1*10:01  Israel USSR Jews 0.017145,681
 67  A*33:01-B*27:02-DRB1*10:01  Israel Druze 0.01695,914
 68  A*32:01-B*27:02-DRB1*10:01  Israel USA Jews 0.01656,058
 69  A*24:07-B*27:02-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.016111,446
 70  A*24:02-B*27:02-C*02:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01504,856
 71  A*03:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01464,204
 72  A*32:01-B*27:02-DRB1*10:01  Israel Poland Jews 0.014413,871
 73  A*02:02-B*27:03-DRB1*10:01  Israel Ethiopia Jews 0.01405,928
 74  A*31:08-B*27:02-DRB1*10:01  Israel USA Jews 0.01346,058
 75  A*02-B*27-DRB1*10  Brazil South East Cord Blood 0.013011,409
 76  A*02:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 77  A*02:11-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 78  A*11:01-B*27:04-C*12:03-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 79  A*11:01-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 80  A*24:02-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 81  A*02-B*27-DRB1*10  Brazil Para State 0.01175,000
 82  A*68:02-B*27:02-DRB1*10:01  Israel Argentina Jews 0.01164,307
 83  A*02:17-B*27:05-DRB1*10:01  Israel Ashkenazi Jews pop 3 0.01084,625
 84  A*02:17-B*27:02-C*02:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 85  A*03:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.01005,849
 86  A*31:01-B*27:02-C*02:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 87  A*31:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 88  A*31-B*27-DRB1*10  Brazil Para State 0.01005,000
 89  A*68:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00975,849
 90  A*24:02-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00915,849
 91  A*01:01-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00875,849
 92  A*32:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.008711,446
 93  A*02:06-B*27:04-C*07:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 94  A*02:11-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 95  A*03:01-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 96  A*24:02-B*27:04-C*12:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 97  A*26:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 98  A*03:01-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 99  A*33:03-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 100  A*02:05-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00845,849

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 140) 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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