Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 1,570) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*08:01:01-C*07:01:01  England Blood Donors of Mixed Ethnicity 11.2377519
 2  A*01:01:01-B*08:01-C*07:01-DRB1*03:01  South Africa Caucasians 8.8900102
 3  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 5.872923,595
 4  A*01:01:01-B*44:03:01-DRB1*07:01:01  Portugal Center 4.500050
 5  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 4.26801,510
 6  A*01:01:01-B*37:01:01-C*06:02:01  South African Indian population 4.000050
 7  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 3.3854192
 8  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 3.1035186
 9  A*01:01:01-B*08:01-DRB1*03:01:01  Portugal Center 3.000050
 10  A*01:01:01-B*57:01:01-C*06:02:01  South African Indian population 3.000050
 11  A*01:01:01-B*57:01:01-C*06:02:01  South African Mixed ancestry 3.000050
 12  A*01:01:01-B*08:01-DRB1*03:01:01  Madeira 2.4000185
 13  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 14  A*01:01:01-B*39:09:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Black 2.381073
 15  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 16  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Black 2.381073
 17  A*01:01:01-B*57:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 2.2987519
 18  A*01:01:01-B*57:01:01-C*06:02-DRB1*07:01  South Africa Caucasians 2.2200102
 19  A*01:01:01-B*08:01-DRB1*03:01:01  Portugal North 2.200046
 20  A*01:01:01-B*50:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Morocco Atlantic Coast Chaouya 2.100098
 21  A*01:01:01-B*57:01-C*06:02-DRB1*04:02-DQA1*03:01-DQB1*03:02  Morocco Atlantic Coast Chaouya 2.100098
 22  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 2.0833120
 23  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 2.0680356
 24  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 2.0110174
 25  A*01:01:01-B*07:02:01-C*07:02:01  South African Indian population 2.000050
 26  A*01:01:01-B*08:01:01-C*07:01:01  South African Mixed ancestry 2.000050
 27  A*01:01:01-B*18:01:01-DRB1*11:01:01  Portugal Center 2.000050
 28  A*01:01:01-B*44:03:01-DRB1*07:01:01  Portugal South 2.000049
 29  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 1.9608102
 30  A*01:01:01-B*44:05-DRB1*01:01  Bulgaria 1.800055
 31  A*01:01:01-B*35:01:01-DRB1*03:01:01  Cape Verde Southeastern Islands 1.600062
 32  A*01:01:01-B*37:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 33  A*01:01:01-B*44:03:01-DRB1*07:01:01  Cape Verde Southeastern Islands 1.600062
 34  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 1.5625405
 35  A*01:01:01-B*35:01:01-DRB1*07:01:01  Portugal Center 1.500050
 36  A*01:01:01-B*53:01  Mexico Guadalajara Mestizo pop 2 1.5000103
 37  A*01:01:01-B*58:01-DRB1*13:04  Guinea Bissau 1.500065
 38  A*01:01:01-B*08:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 39  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Black 1.470668
 40  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 1.4706102
 41  A*01:01:01-B*42:01:01-C*12:03:01-DRB1*03:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 42  A*01:01:01-B*44:02:01-C*07:18:01-DRB1*13:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 43  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 44  A*01:01:01-B*81:01:01-C*18:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 45  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 1.4370174
 46  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 1.3618521
 47  A*01:01:01-B*37:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 1.2905519
 48  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01  Costa Rica Amerindians (G) 1.2097125
 49  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 1.1674521
 50  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 1.1600215
 51  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 1.1490174
 52  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 1.1312221
 53  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.1181186
 54  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*14:01  South Africa Caucasians 1.1100102
 55  A*01:01:01-B*15:03-DRB1*12:01:01/12:06  Portugal North 1.100046
 56  A*01:01:01-B*39:01:01-DRB1*08:01:01  Portugal North 1.100046
 57  A*01:01:01-B*44:03:01-DRB1*04:01:01  Portugal North 1.100046
 58  A*01:01:01-B*51:01:01-DRB1*13:01:01  Portugal North 1.100046
 59  A*01:01:01-B*07:02:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 1.0823519
 60  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 61  A*01:01:01-B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 62  A*01:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0310105
 63  A*01:01:01-B*08:01:01-C*07:01:02  South African Indian population 1.000050
 64  A*01:01:01-B*13:02-DRB1*04:03:01  Portugal Center 1.000050
 65  A*01:01:01-B*15:02:01-C*18:01  South African Mixed ancestry 1.000050
 66  A*01:01:01-B*15:17:01-C*07:02:01  South African Indian population 1.000050
 67  A*01:01:01-B*35:02:01-C*04:01:01  South African Mixed ancestry 1.000050
 68  A*01:01:01-B*35:02-DRB1*11:04:01  Portugal South 1.000049
 69  A*01:01:01-B*35:03:01-C*01:44  South African Indian population 1.000050
 70  A*01:01:01-B*37:01:01-C*14:02:01  South African Mixed ancestry 1.000050
 71  A*01:01:01-B*44:03:01-C*04:01:01  South African Mixed ancestry 1.000050
 72  A*01:01:01-B*44:29-C*05:01:01  South African Mixed ancestry 1.000050
 73  A*01:01:01-B*49:01:01-C*07:01:01  South African Mixed ancestry 1.000050
 74  A*01:01:01-B*49:01-DRB1*13:02:01  Portugal South 1.000049
 75  A*01:01:01-B*50:01:01-C*06:02:01  South African Indian population 1.000050
 76  A*01:01:01-B*50:01-DRB1*01:03  Portugal South 1.000049
 77  A*01:01:01-B*53:01:01-C*07:04:01  South African Mixed ancestry 1.000050
 78  A*01:01:01-B*58:01-DRB1*07:01:01  Portugal Center 1.000050
 79  A*01:01:01-B*37:01:01  China Jingpo Minority 0.9900105
 80  A*01:01:01-B*37:01:01-C*06:02:01  China Jingpo Minority 0.9900105
 81  A*01:01:01-C*06:02:01  China Jingpo Minority 0.9710105
 82  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 83  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.9300215
 84  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 85  A*01:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 86  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 87  A*01:01:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.8620174
 88  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.8620174
 89  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.8403119
 90  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 91  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.8333120
 92  A*01:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.8213186
 93  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.731523,595
 94  A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.70431,510
 95  A*01:01:01-B*81:01-C*18:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.7040142
 96  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 97  A*01:01:01-B*14:02:01-C*02:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 98  A*01:01:01-B*18:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 99  A*01:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 100  A*01:01:01-B*39:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472

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 1,570) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  


   

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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