Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 165) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 4.4550101
 2  A*29:01:01-B*07:02:01  Mexico Guadalajara Mestizo pop 2 1.5000103
 3  A*29:01:01-B*44:03:02  Mexico Guadalajara Mestizo pop 2 1.5000103
 4  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 1.4850101
 5  A*29:01:01:01-B*35:02-DRB1*04:07:01  Portugal Center 1.000050
 6  A*29:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 7  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
 8  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
 9  A*29:01:01-B*44:08-C*16:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 10  A*29:01:01-B*78:01:01-C*16:01:01-DRB1*07:01:01-DQB1*03:03:03  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 11  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
 12  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 13  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:12:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 14  A*29:01:01-B*55:02:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 15  A*29:01:01-B*51:08-C*04:01:01-DRB1*13:03:01  Costa Rica African -Caribbean (G) 0.4902102
 16  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
 17  A*29:01:01:01-B*49:01:01-C*07:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 18  A*29:01:01-B*45:01:01-C*07:04:01-DRB1*11:01:02-DQB1*04:02:01-DPB1*02:01:19  South African Black 0.3520142
 19  A*29:01:01-B*07:05:01-C*08:02:01-DRB1*04:03:01-DQA1*03:01:01-DQB1*03:05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 20  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
 21  A*29:01:01-B*50:01:01-C*03:03:01-DRB1*01:02:01  Nicaragua Mestizo (G) 0.3226155
 22  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
 23  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
 24  A*29:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 25  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
 26  A*29:01:01-B*44:03:02-C*07:01:01-DRB1*15:01:01-DQB1*06:01:07  India Karnataka Kannada Speaking 0.2870174
 27  A*29:01:01-B*49:01:01-C*07:01:01-DRB1*15:02:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 28  A*29:01:01-B*51:06:01-C*14:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 29  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
 30  A*29:01:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 31  A*29:01:01:01-B*49:01:01-C*06:02:01:01-DRB1*04:05:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 32  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
 33  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
 34  A*29:01:01-B*35:01:01-C*04:01:01-DRB1*07:01-DQB1*03:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 35  A*29:01:01-B*58:01:01-C*03:02:01-DRB1*04:05:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 36  A*29:01:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*06:03:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 37  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
 38  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
 39  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
 40  A*29:01:01-B*13:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 41  A*29:01:01-B*27:07:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 42  A*29:01:01-B*40:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 43  A*29:01:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 44  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
 45  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.129728,927
 46  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.117928,927
 47  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.105028,927
 48  A*29:01:01-B*07:05:01-C*15:29  England Blood Donors of Mixed Ethnicity 0.0963519
 49  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 50  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 51  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 52  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 53  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.05545,266
 54  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.048523,595
 55  A*29:01:01:01-B*07:05:01-C*03:04:01:01-DRB1*16:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 56  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 57  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 58  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 59  A*29:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 60  A*29:01:01:01-B*35:02:01-C*04:01:01-DRB1*04:03:01-DQB1*03:05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 61  A*29:01:01:01-B*35:02:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 62  A*29:01:01:01-B*35:03:01-C*07:04:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 63  A*29:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 64  A*29:01:01:01-B*44:02:01:01-C*16:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 65  A*29:01:01:01-B*57:01:01-C*16:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 66  A*29:01:01-B*07:05:01-C*03:03:01-DRB1*01:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 67  A*29:01:01-B*07:05:01-C*03:03:01-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 68  A*29:01:01-B*15:18:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 69  A*29:01:01-B*15:29:01-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 70  A*29:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 71  A*29:01:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 72  A*29:01:01-B*40:02:01-C*07:04:01-DRB1*14:54:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 73  A*29:01:01-B*51:01:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 74  A*29:01:01-B*51:01:01-C*07:02:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 75  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02755,266
 76  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.023323,595
 77  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02305,266
 78  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 79  A*29:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 80  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01895,266
 81  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01885,266
 82  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.015923,595
 83  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.011223,595
 84  A*29:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.011023,595
 85  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.010623,595
 86  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 87  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*12:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 88  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*14:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 89  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 90  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*16:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 91  A*29:01:01-B*51:02:01-C*15:02:01-DRB1*15:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 92  A*29:01:01-B*07:05:01-C*15:29-DRB1*10:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 93  A*29:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.009323,595
 94  A*29:01:01-B*40:01:02-C*07:02:01-DRB1*13:12:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 95  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 96  A*29:01:01-B*07:05:01-C*15:29-DRB1*10:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 97  A*29:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.008623,595
 98  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*16:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 99  A*29:01:01-B*13:02:01-C*06:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.008523,595
 100  A*29:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.008423,595

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 165) 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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