Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 249) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-C*03:04:01  Taiwan Hakka 10.900055
 2  A*11:01-C*03:04:01  Taiwan Minnan pop 1 7.4000102
 3  A*11:01:01-C*03:04:01  China Jingpo Minority 5.8020105
 4  A*11:01-C*03:04:01  Taiwan Taroko 5.500055
 5  A*11:01-C*03:04:01  Taiwan Thao 5.000030
 6  A*11:01-C*03:04:01  Taiwan Pazeh 4.500055
 7  A*11:01-C*03:04:01  Taiwan Siraya 4.300051
 8  A*11:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 3.8850105
 9  A*11:01-C*03:04:01  Taiwan Saisiat 3.400051
 10  A*11:01:01-B*40:01:01-C*03:04:01  China Jingpo Minority 2.9700105
 11  A*11:01:01-B*18:01:01-C*03:04:01  South African Mixed ancestry 2.000050
 12  A*11:01:01-B*40:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 1.9160105
 13  A*11:01:01-B*40-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01-DPB1*04:02  China Yunnan Province Nu 1.7000107
 14  A*11:01-C*03:04:01  Taiwan Tsou 1.100051
 15  A*11:01-C*03:04:01  Taiwan Tao 1.100050
 16  A*11:01:01-B*35:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 17  A*11:01:01-B*40:01:02-C*03:04:01  South African Indian population 1.000050
 18  A*11:01:01-B*35:01:01-C*03:04:01  China Jingpo Minority 0.9900105
 19  A*11:01:01-B*40:01:02-C*03:04:01  China Jingpo Minority 0.9900105
 20  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.73601,734
 21  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.58861,734
 22  A*11:01:01-B*40:01:01-C*03:04:01-DRB1*11:01:01  China Jingpo Minority 0.5210105
 23  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01  China Jingpo Minority 0.5210105
 24  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 25  A*11:01:01-C*03:04:01-DRB1*04:03:01  China Jingpo Minority 0.5150105
 26  A*11:01:01-C*03:04:01-DRB1*11:01:01  China Jingpo Minority 0.5150105
 27  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*14:10-DQB1*05:10  Vietnam Kinh 0.4950101
 28  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 29  A*11:01:01-B*44:03:02-C*03:04:01-DRB1*13:12:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 30  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 31  A*11:01:01:01-B*40:02:01-C*03:04:01-DRB1*14:05:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 32  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.36075,266
 33  A*11:01:01-B*08:01:01-C*03:04:01-DRB1*11:01:02-DQB1*02:01:01-DPB1*04:02:01  South African Black 0.3520142
 34  A*11:01:01-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.3401519
 35  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.33741,734
 36  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.33485,266
 37  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:07-DPB1*03:01  Russia Belgorod region 0.3268153
 38  A*11:01:01-B*27:02:01-C*03:04:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 39  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.27341,734
 40  A*11:01:01-B*37:01:01-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 41  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.25951,734
 42  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.25815,266
 43  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:10-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 44  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.18455,266
 45  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.17695,266
 46  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.17301,734
 47  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.16211,734
 48  A*11:01:01-B*07:02:01-C*03:04:01-DRB1*15:02:02-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 49  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 50  A*11:01:01-B*55:01:01-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 51  A*11:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.12461,734
 52  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.11931,734
 53  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11765,266
 54  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11551,734
 55  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11305,266
 56  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11115,266
 57  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09995,266
 58  A*11:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 59  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.08671,734
 60  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07325,266
 61  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.06951,734
 62  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06945,266
 63  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06935,266
 64  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06665,266
 65  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.06551,734
 66  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06495,266
 67  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06385,266
 68  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06125,266
 69  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05865,266
 70  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.05825,266
 71  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.05771,734
 72  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*14:05:01-DQB1*03:03:02  China Zhejiang Han 0.05771,734
 73  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*14:54:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 74  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*05:03:01  China Zhejiang Han 0.05771,734
 75  A*11:01:01-B*40:06:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05771,734
 76  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.05675,266
 77  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05545,266
 78  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.053523,595
 79  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.05335,266
 80  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05175,266
 81  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05085,266
 82  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04925,266
 83  A*11:01:01-B*40:03:01-C*03:04:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.04841,734
 84  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04805,266
 85  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:06:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04325,266
 86  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04315,266
 87  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04005,266
 88  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03885,266
 89  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*04:04:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03785,266
 90  A*11:01:01-B*27:06-C*03:04:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03785,266
 91  A*11:01:01-B*46:01:01-C*03:04:01-DRB1*09:01:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03775,266
 92  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03755,266
 93  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03695,266
 94  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*12:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03685,266
 95  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03645,266
 96  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03455,266
 97  A*11:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.033523,595
 98  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03325,266
 99  A*11:01:01:01-B*40:01:02-C*03:04:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 100  A*11:01:01:01-B*40:02:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510

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 249) records   Pages: 1 2 3 of 3  


   

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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