Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 111) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*56-C*07-DRB1*14  Myanmar Kachin 3.881063
 2  A*11-B*56-C*01-DRB1*14  Myanmar Chin 1.818055
 3  A*02-B*56-C*01-DRB1*14  Myanmar Mon 1.562064
 4  A*23-B*56-DRB1*14  Brazil Parana Oriental 1.500033
 5  A*26-B*56-C*07-DRB1*14  Myanmar Kachin 0.794063
 6  A*24-B*56-DRB1*14  India sub-Himalayan West Bengal Kami 0.3200158
 7  A*02:02-B*56:01-C*01:02-DRB1*14:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 8  A*24:02-B*56:01-C*03:05-DRB1*14:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 9  A*11-B*56-DRB1*14-DQB1*05  Mexico Zacatecas Rural 0.1859266
 10  A*11:01-B*56:02-C*01:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.1577951
 11  A*02:01:01-B*56:01:01-C*04:03:01-DRB1*14:04:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 12  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 13  A*02:01-B*56:01-C*01:02-DRB1*14:01-DQB1*05:03-DPB1*03:01  Russia Karelia 0.11291,075
 14  A*26-B*56-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 15  A*02:01-B*56:01-C*07:02-DRB1*14:01  Germany DKMS - China minority 0.07801,282
 16  A*11:01-B*56:01-C*01:02-DRB1*14:01  Germany DKMS - Netherlands minority 0.07301,374
 17  A*11:01-B*56:01-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*03:01  Sri Lanka Colombo 0.0700714
 18  A*24:02-B*56:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 19  A*26:01-B*56:05-C*01:02-DRB1*14:02-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 20  A*26-B*56-DRB1*14  Iran pop 4 0.0700855
 21  A*31:01-B*56:01-C*01:02-DRB1*14:04-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 22  A*03:02-B*56:01-DRB1*14:01  Israel Argentina Jews 0.06864,307
 23  A*01:01-B*56:01-C*01:02-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.05954,204
 24  A*24:07-B*56:02-C*01:02-DRB1*14:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 25  A*02:01-B*56:01-C*07:02-DRB1*14:01-DQB1*05:03  USA Asian pop 2 0.04401,772
 26  A*11:01-B*56:01-C*01:02-DRB1*14:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 27  A*01-B*56-DRB1*14-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 28  A*11:01-B*56:01-C*04:01-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.04012,492
 29  A*24:02-B*56:01-C*01:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.04012,492
 30  A*02-B*56-C*01-DRB1*14  Macedonia MBMDR - Macedonian 0.03901,283
 31  A*03-B*56-C*01-DRB1*14  Macedonia MBMDR - Macedonian 0.03901,283
 32  A*68:01-B*56:01-C*15:05-DRB1*14:03  Germany DKMS - China minority 0.03901,282
 33  A*02:01:01:01-B*56:01:01-C*01:02:01-DRB1*14:01:01-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*24:02-B*56:01-DRB1*14:54  Hong Kong Chinese cord blood registry 0.03273,892
 35  A*26:01-B*56:01-C*01:02-DRB1*14:54  Japan pop 16 0.031018,604
 36  A*24:02:40-B*56:01:01-C*01:02:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03085,266
 37  A*02:01-B*56:01-C*01:02-DRB1*14:05-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 38  A*02:06-B*56:01-C*01:02-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 39  A*11:02:01-B*56:01:01-C*01:02:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 40  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 41  A*24:02:40-B*56:01:01-C*01:02:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 42  A*24:02-B*56:01-C*04:01-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.02864,204
 43  A*24:02-B*56:01-C*01:02-DRB1*14:54  Hong Kong Chinese BMDR 0.02777,595
 44  A*11:01:01-B*56:01:01-C*07:02:01-DRB1*14:54:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02765,266
 45  A*03:01-B*56:01-DRB1*14:01  Israel Argentina Jews 0.02324,307
 46  A*02:01-B*56:01-C*01:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 47  A*11:01-B*56:01-C*04:01-DRB1*14:15-DQB1*05:03  India Tamil Nadu 0.02012,492
 48  A*24:02-B*56:01-C*01:02-DRB1*14:54  Japan pop 16 0.016018,604
 49  A*31:01-B*56:01-C*04:01-DRB1*14:54  Japan pop 16 0.016018,604
 50  A*24:02-B*56:01-C*07:02-DRB1*14:54  Hong Kong Chinese BMDR 0.01437,595
 51  A*02:01-B*56:01-C*07:02-DRB1*14:54  Hong Kong Chinese BMDR 0.01327,595
 52  A*11:01-B*56:04-DRB1*14:54  Hong Kong Chinese cord blood registry 0.01263,892
 53  A*11:01-B*56:01-C*04:01-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01214,204
 54  A*02:01-B*56:01-C*01:02-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 55  A*02:11-B*56:01-C*15:02-DRB1*14:54-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 56  A*03:02-B*56:01-C*01:02-DRB1*14:05-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 57  A*31:01-B*56:01-C*15:02-DRB1*14:07-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 58  A*31:01-B*56:01-C*15:02-DRB1*14:10-DQB1*05:10  India UCBB_Central Indian HLA 0.01194,204
 59  A*11:01-B*56:03-DRB1*14:03  Hong Kong Chinese cord blood registry 0.01183,892
 60  A*02:11-B*56:01-C*04:01-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.01101,772
 61  A*26:01-B*56:01-C*04:01-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.01101,772
 62  A*02:01-B*56:01-C*01:02-DRB1*14:07-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 63  A*02-B*56-C*01-DRB1*14-DQB1*05-DPB1*03  Norway ethnic Norwegians 0.01004,510
 64  A*11:01-B*56:04-C*01:02-DRB1*14:04-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 65  A*24-B*56-C*01-DRB1*14-DQB1*05-DPB1*14  Norway ethnic Norwegians 0.01004,510
 66  A*25-B*56-DRB1*14  Brazil Para State 0.01005,000
 67  A*02:07:01-B*56:01:01-C*07:02:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00965,266
 68  A*11:01:01-B*56:03-C*07:02:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00905,266
 69  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*14:54:01-DQB1*05:02:01  Poland BMR 0.008523,595
 70  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.008223,595
 71  A*01:01-B*56:01-DRB1*14:01  Israel Arab pop 2 0.008112,301
 72  A*31:01:02-B*56:01:01-C*01:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.007723,595
 73  A*02:11-B*56:01-C*04:01-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.00694,204
 74  A*11:01-B*56:01-C*07:02-DRB1*14:54  Hong Kong Chinese BMDR 0.00667,595
 75  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.006323,595
 76  A*02:01-B*56:10-C*01:02-DRB1*14:54  Hong Kong Chinese BMDR 0.00627,595
 77  A*24:02:01-B*56:01:01-C*07:02:01-DRB1*14:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00605,266
 78  A*02:03-B*56:04-C*01:02-DRB1*14:05  Hong Kong Chinese BMDR 0.00597,595
 79  A*24:02-B*56:01-C*07:02-DRB1*14:05  Hong Kong Chinese BMDR 0.00597,595
 80  A*11:01-B*56:02-C*01:02-DRB1*14:04  Hong Kong Chinese BMDR 0.00587,595
 81  A*02:01-B*56:01-C*01:02-DRB1*14:05  Japan pop 16 0.005018,604
 82  A*02:06-B*56:01-C*01:02-DRB1*14:54  Japan pop 16 0.005018,604
 83  A*11:01-B*56:01-C*01:02-DRB1*14:54  Japan pop 16 0.005018,604
 84  A*24:02-B*56:01-C*01:02-DRB1*14:05  Japan pop 16 0.005018,604
 85  A*24:02-B*56:01-C*04:01-DRB1*14:54  Japan pop 16 0.005018,604
 86  A*24:02-B*56:01-C*12:03-DRB1*14:05  Japan pop 16 0.005018,604
 87  A*26:01-B*56:01-C*01:02-DRB1*14:05  Japan pop 16 0.005018,604
 88  A*31:01-B*56:01-C*04:01-DRB1*14:03  Japan pop 16 0.005018,604
 89  A*33:03-B*56:01-C*01:02-DRB1*14:54  Japan pop 16 0.005018,604
 90  A*02:01-B*56:01-C*01:02-DRB1*14:01  Poland DKMS 0.004620,653
 91  A*03:01-B*56:01-DRB1*14:01  Israel YemenJews 0.003215,542
 92  A*01:01-B*56:01-C*01:02-DRB1*14:01  Poland DKMS 0.003220,653
 93  A*02:01-B*56:01-DRB1*14:01  Israel USSR Jews 0.002945,681
 94  A*02:02-B*56:01-DRB1*14:04  Israel Tunisia Jews 0.00289,070
 95  A*02:02-B*56:01-DRB1*14:06  Israel Tunisia Jews 0.00289,070
 96  A*03:02-B*56:01-DRB1*14:04  Israel Tunisia Jews 0.00289,070
 97  A*03:02-B*56:01-DRB1*14:06  Israel Tunisia Jews 0.00289,070
 98  A*03:02-B*56:01-DRB1*14:01  Israel USSR Jews 0.002645,681
 99  A*02:02-B*56:01-DRB1*14:01  Israel Morocco Jews 0.002636,718
 100  A*31:01-B*56:01-C*01:02-DRB1*14:01  Poland DKMS 0.002420,653

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 111) 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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