Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 353) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*33:03:01-B*58:01:01-C*03:02:02  South African Indian population 5.000050
 2  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Vietnam Kinh 4.4550101
 3  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 4.01521,734
 4  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 2.56105,266
 5  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 2.1050186
 6  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*30:01:01  Brazil Rio de Janeiro Black 1.470668
 7  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 1.35381,734
 8  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 1.1240356
 9  A*30:02:01-B*58:01:01-C*03:02:02  South African Mixed ancestry 1.000050
 10  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Vietnam Kinh 0.9900101
 11  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.72025,266
 12  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 13  A*02:04-B*58:01:01-C*03:02:02-DRB1*04:11:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 14  A*03:01:01-B*35:01:01-C*03:02:02-DRB1*11:01:02-DQB1*03:19:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 15  A*03:01:01-B*58:01:01-C*03:02:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 16  A*24:02:01:01-B*40:06:01-C*03:02:02-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 17  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 18  A*24:02:01-B*58:01:01-C*03:02:02-DRB1*12:02:01-DQB1*02:01:01  Vietnam Kinh 0.4950101
 19  A*33:03:01-B*15:13:01-C*03:02:02-DRB1*10:01:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 20  A*33:03:01-B*15:27:01-C*03:02:02-DRB1*11:06:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 21  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 22  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 23  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 24  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.44481,734
 25  A*03:01:01-B*40:02:01-C*03:02:02-DRB1*03:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 26  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 27  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 28  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 29  A*11:01:01:01-B*58:01:01-C*03:02:02-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 30  A*33:03:01-B*07:02:01-C*03:02:02-DRB1*07:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 31  A*33:03:01-B*51:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 32  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 33  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.40485,266
 34  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.37365,266
 35  A*01:01:01-B*35:03:01-C*03:02:02-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 36  A*33:03:01-B*35:02:01-C*03:02:02-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 37  A*33:03:01-B*35:03:01-C*03:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 38  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.3143186
 39  A*02:05:01-B*58:01:01-C*03:02:02-DRB1*08:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 40  A*01:01:01-B*15:17:01-C*03:02:02-DRB1*03:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 41  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*04:02:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 42  A*24:02:01-B*35:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 43  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.2810356
 44  A*01:01:01-B*51:01:01-C*03:02:02-DRB1*14:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 45  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 46  A*02:03:01-B*40:06:01-C*03:02:02-DRB1*10:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 47  A*02:11:01-B*07:06:01-C*03:02:02-DRB1*07:03-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 48  A*33:03:01-B*35:03:01-C*03:02:02-DRB1*13:02:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 49  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*04:08:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 50  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 51  A*68:01:02-B*40:06:01-C*03:02:02-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 52  A*01:01:01:01-B*44:02:01:01-C*03:02:02-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 53  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 54  A*02:05:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 55  A*03:01:01:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 56  A*24:02:01:01-B*58:01:01-C*03:02:02-DRB1*07:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 57  A*33:03:01-B*13:02:01-C*03:02:02-DRB1*10:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 58  A*33:03:01-B*35:03:01-C*03:02:02-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 59  A*33:03:01-B*44-C*03:02:02-DRB1*15:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 60  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.21091,734
 61  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.20331,734
 62  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 63  A*68:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 64  A*02:01:01-B*58:01:01-C*03:02:02  England Blood Donors of Mixed Ethnicity 0.1927519
 65  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.18061,734
 66  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.17321,734
 67  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.17285,266
 68  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.17135,266
 69  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.16055,266
 70  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14395,266
 71  A*11:01:01-B*51:06:01-C*03:02:02-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 72  A*24:02:01-B*40:06:01-C*03:02:02-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 73  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 74  A*32:01:01-B*40:06:01-C*03:02:02-DRB1*04:10:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 75  A*33:65-B*07:06:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 76  A*68:01:02-B*07:02:01-C*03:02:02-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 77  A*68:01:02-B*07:06:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 78  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.13755,266
 79  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.12365,266
 80  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.120623,595
 81  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.11531,734
 82  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11405,266
 83  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11265,266
 84  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11005,266
 85  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10585,266
 86  A*24:02:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.10461,734
 87  A*02:07:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09985,266
 88  A*03:01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.09931,510
 89  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.09931,510
 90  A*24:02:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09885,266
 91  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09725,266
 92  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09495,266
 93  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.08541,734
 94  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08285,266
 95  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07745,266
 96  A*02:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07265,266
 97  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.06711,734
 98  A*02:01:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 99  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 100  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.06621,510

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 353) records   Pages: 1 2 3 4 of 4  


   

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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