Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 690) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 4.815343,540
 2  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Vietnam Hanoi Kinh pop 2 4.7000170
 3  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 4.4550101
 4  A*29:01-C*15:05  Taiwan Hakka 2.700055
 5  B*07:05-C*15:05  Taiwan Hakka 2.700055
 6  A*02:01:01-B*44:03:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 7  B*35:01-C*15:05  Mexico Oaxaca Zapotec 1.500090
 8  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 1.4850101
 9  B*07:05-C*15:05  USA Asian pop 2 1.33601,772
 10  B*07:02-C*15:05  USA African American pop 4 1.07702,411
 11  A*30:04:01-B*18:01:01-C*15:05:02  South African Mixed ancestry 1.000050
 12  B*51:01-C*15:05  Mexico Oaxaca Mixtec 1.0000103
 13  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.8620174
 14  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.7020356
 15  A*29:01-B*07:05-C*15:05-DRB1*10:01  Hong Kong Chinese BMDR 0.68357,595
 16  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.66701,772
 17  A*31:04-B*35:01-C*15:05-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.6390336
 18  A*68:02-B*07:02-C*15:05-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.6390336
 19  A*23:01-B*39:10-C*15:05-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*14:01  South Africa Worcester 0.6000159
 20  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 21  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.5112185,391
 22  A*02:01-B*07:05-C*15:05-DRB1*03:01-DQA1*01:02-DQB1*06:09-DPB1*17:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 23  A*02:01-B*18:01-C*15:05-DRB1*03:01-DQA1*05:01-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 24  A*66:01-B*07:02-C*15:05-DRB1*11:01-DQA1*01:02-DQB1*02:01-DPB1*34:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 25  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 26  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:12:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 27  A*30:01:01-B*07:02:01-C*15:05:01-DRB1*13:03:01  Costa Rica African -Caribbean (G) 0.4902102
 28  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.477927,978
 29  A*68:02:01-B*07:02:01-C*15:05:01-DRB1*15:03  Costa Rica Guanacaste Mestizo (G) 0.4545110
 30  A*74:01-B*57:02:01-C*15:05:01-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 31  A*29:01:01:01-B*07:05-C*15:05-E*01:01:01-F*01:01:02-G*01:01-DRB1*10:01-DQA1*01:05-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 32  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 33  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.402799,672
 34  B*07:05-C*15:05  USA Hispanic pop 2 0.40101,999
 35  A*02:01:01-B*58:02:01-C*15:05:02-DRB1*13:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*106:01  Brazil Rio de Janeiro Caucasian 0.3891521
 36  A*30:02:01-B*57:02:01-C*15:05:02-DRB1*11:01:02-DQB1*02:01:01-DPB1*04:01:01  South African Black 0.3520142
 37  A*30:04:01-B*39:10:01-C*15:05:02-DRB1*15:03:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 38  A*02:06-B*73:01-C*15:05-DRB1*04:05-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 39  B*73:01-C*15:05  Mexico Mexico City Mestizo population 0.3497143
 40  B*73:01-C*15:05-DRB1*04:05-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 41  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.34374,204
 42  A*29-B*07-C*15:05-DRB1*10:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 43  A*02:01:01-B*51:01:01-C*15:05:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 44  A*11:01:01-B*73:01-C*15:05:01-DRB1*04:05:01-DQA1*01:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*104:01:01  Russia Belgorod region 0.3268153
 45  A*24:02:01-B*07:06-C*15:05:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 46  A*29:01:01-B*14:02:01-C*15:05:02-DRB1*01:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 47  A*02:01:01-B*14:02:01-C*15:05:01-DRB1*01:02:01  Nicaragua Mestizo (G) 0.3226155
 48  A*02:05:01-B*49:01:01-C*15:05:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:07-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 49  A*03:01:01-B*35:01:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 50  A*30:01:01-B*53:01:01-C*15:05:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 51  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.31035,266
 52  A*30:04-B*39:10-C*15:05-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*18:01  South Africa Worcester 0.3000159
 53  A*29:01:01-B*07:02:01-C*15:05:01-DRB1*10:01:01-DQB1*05:02:04  India Karnataka Kannada Speaking 0.2870174
 54  A*29:01:01-B*35:01:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 55  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.2810356
 56  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.27112,492
 57  A*29:01-B*07:05-C*15:05-DRB1*08:03-DQB1*03:01  USA Asian pop 2 0.26701,772
 58  A*68:01:01:02-B*07:05:01-C*15:05:02-DRB1*15:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 59  A*30:01-B*58:01-C*15:05-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 60  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*08:03:02-DQB1*03:01:01  China Zhejiang Han 0.25951,734
 61  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.231128,927
 62  A*02:01:01-B*73:01-C*15:05-DRB1*11:04:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 63  A*29:02:01-B*07:05:01-C*15:05-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 0.2300215
 64  A*02:01:01-B*07:02:01-C*15:05:01-DRB1*01:03-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 65  A*02:01:01-B*73:01-C*15:05:01-DRB1*04:05:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 66  A*68:02-B*07:02-C*15:05-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*04:01  Nicaragua Managua 0.2165339
 67  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.213770,890
 68  A*03:01-B*14:02-C*15:05-DRB1*01:02  Germany DKMS - Portugal minority 0.21301,176
 69  A*02:01-B*73:01-C*15:05-DRB1*04:05  Germany DKMS - Greece minority 0.21101,894
 70  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.2101714
 71  B*07:02-C*15:05  Mexico Mexico City Mestizo pop 2 0.2100234
 72  B*07:02-C*15:05  USA Hispanic pop 2 0.20101,999
 73  A*29:01-B*18:01-C*15:05-DRB1*13:02:01-DQB1*03:01  England North West 0.2000298
 74  A*30:01-B*07:05-C*15:05-DRB1*07:01:01-DQB1*03:01  England North West 0.2000298
 75  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.19604,856
 76  A*29:01-B*07:05-C*15:05-DRB1*01:01  Germany DKMS - China minority 0.19501,282
 77  A*29:01-B*07:05-C*15:05-DRB1*10:01  Germany DKMS - China minority 0.19501,282
 78  A*03:01:01-B*07:06:01-C*15:05:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 79  A*03:01:01-B*07:06:01-C*15:05:02-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*45:01  Brazil Rio de Janeiro Caucasian 0.1946521
 80  A*66:01:01-B*07:02:01-C*15:05:02-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 81  A*02:01-B*40:02-C*15:05-DRB1*13:02-DQB1*03:01-DPB1*04:01  Panama 0.1900462
 82  A*33:01-B*15:01-C*15:05-DRB1*16:02-DQB1*06:02-DPB1*04:02  Panama 0.1900462
 83  A*33:01-B*52:01-C*15:05-DRB1*04:11-DQB1*06:09-DPB1*02:01  Panama 0.1900462
 84  A*34:02-B*44:03-C*15:05-DRB1*15:03-DQB1*06:02-DPB1*18:01  Panama 0.1900462
 85  A*02:11-B*07:05-C*15:05-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 86  B*07:05-C*15:05  Italy pop 5 0.1800975
 87  A*02:01-B*73:01-C*15:05-DRB1*04:05-DQB1*02:01  Germany DKMS - Italy minority 0.17301,159
 88  A*03:01-B*41:01-C*15:05-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.1597336
 89  A*29:02-B*07:05-C*15:05-DRB1*01:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 90  A*31:04-B*45:01-C*15:05-DRB1*13:02-DQB1*06:04-DPB1*04:01  Tanzania Maasai 0.1597336
 91  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 92  A*68:02-B*58:01-C*15:05-DRB1*13:02-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 93  B*07:05-C*15:05  USA African American pop 4 0.14802,411
 94  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14575,266
 95  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 96  A*24:02:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 97  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 98  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 99  A*29:01:01-B*40:06:01-C*15:05:02-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 100  A*03:01-B*07:05-C*15:05-DRB1*07:01  Germany DKMS - Spain minority 0.13501,107

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 690) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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