Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 127) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:07-B*13:01-DRB1*15:02  Malaysia Kedah Kensiu 7.140021
 2  B*13:01-DRB1*15:02:01  Philippines Ivatan 6.000050
 3  A*26:01-B*13:01-DRB1*15:02  China Yunnan Province Jinuo 5.5000109
 4  A*02:03-B*13:01-DRB1*15:02  Malaysia Champa 5.172429
 5  A*11:01-B*13:01-DRB1*15:02  New Zealand Polynesians with Full Ancestry 2.381021
 6  A*24:02-B*13:01-DRB1*15:02  China Guangxi Region Maonan 2.1000108
 7  A*11:01-B*13:01-DRB1*15:02  New Zealand Polynesians with Admixed History 1.852027
 8  A*24:02-B*13:01-DRB1*15:02  Malaysia Kelantan 1.785728
 9  A*01:01:01-B*13:01:01-C*04:03:01-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 10  A*24:02:01-B*13:01:01-C*04:03:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 11  A*68:01:02-B*13:01:01-C*04:03:01-DRB1*15:02:02-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 12  A*34:01-B*13:01-C*03:04-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.2103951
 13  A*01:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:09  Malaysia Peninsular Indian 0.1845271
 14  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 15  A*33:01-B*13:01-C*03:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 16  A*24:17-B*13:01-C*04:06-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.1689296
 17  A*11:01-B*13:01-DRB1*15:02  Hong Kong Chinese cord blood registry 0.16813,892
 18  A*03:01:01-B*13:01:01-C*04:03:01-DRB1*15:02:02-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 19  A*11:01:01-B*13:01:01-C*04:06-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 20  A*31:01:02-B*13:01:01-C*04:03:01-DRB1*15:02:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 21  A*11:01-B*13:01-C*03:04-DRB1*15:02  Hong Kong Chinese BMDR 0.13997,595
 22  A*24:02-B*13:01-C*03:04-DRB1*15:02  Hong Kong Chinese BMDR 0.11877,595
 23  A*24:02-B*13:01-DRB1*15:02  Hong Kong Chinese cord blood registry 0.11043,892
 24  A*02:03-B*13:01-C*04:06-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1052951
 25  A*11:01-B*13:01-C*04:06-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1052951
 26  A*11:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India East UCBB 0.09312,403
 27  A*11:01-B*13:01-C*03:04-DRB1*15:02-DQB1*06:02  USA Asian pop 2 0.08901,772
 28  A*11:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.077411,446
 29  A*01:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.07595,829
 30  A*24:02-B*13:01-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.07357,595
 31  A*01:01-B*13:01-C*04:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 32  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 33  A*11:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.06772,492
 34  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.05852,492
 35  A*11:01-B*13:01-C*03:04-DRB1*15:02-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 36  A*24:02-B*13:01-C*03:04-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 37  A*34:01-B*13:01-C*04:03-DRB1*15:02-DQB1*04:01  Malaysia Peninsular Malay 0.0526951
 38  A*34:01-B*13:01-C*04:06-DRB1*15:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 39  A*68:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.051611,446
 40  A*11:01:01-B*13:01:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04785,266
 41  A*11:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.04755,829
 42  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.04755,829
 43  A*02:06-B*13:01-C*03:04-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 44  A*11:01-B*13:01-C*04:06-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 45  A*24:02-B*13:01-C*07:02-DRB1*15:02-DQB1*06:02  USA Asian pop 2 0.04401,772
 46  A*02:11-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India East UCBB 0.04162,403
 47  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.041311,446
 48  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
 49  A*24:20-B*13:01-C*03:04-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 50  A*01:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.028911,446
 51  A*02:01:01-B*13:01:01-C*03:04:04-DRB1*15:02:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 52  A*02:07:01-B*13:01:01-C*03:04:04-DRB1*15:02:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 53  A*11:01:01-B*13:01:01-C*07:02:01-DRB1*15:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 54  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 55  A*11:01:01-B*13:01:01-C*03:04:04-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02825,266
 56  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India North UCBB 0.02755,849
 57  A*11:01-B*13:01-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.02727,595
 58  A*02:03-B*13:01-DRB1*15:02  Hong Kong Chinese cord blood registry 0.02703,892
 59  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.02652,492
 60  A*11:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India Central UCBB 0.02554,204
 61  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02465,266
 62  A*02:11-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.022111,446
 63  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*05:03  India South UCBB 0.021811,446
 64  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02125,266
 65  A*02:01-B*13:01-C*04:03-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 66  A*03:01-B*13:01-C*04:03-DRB1*15:02-DQB1*03:01  India East UCBB 0.02082,403
 67  A*03:01-B*13:01-C*04:03-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 68  A*68:01-B*13:01-C*07:04-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 69  A*24:353-B*13:01:01-C*07:02:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02045,266
 70  A*02:11-B*13:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02012,492
 71  A*30:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02012,492
 72  A*68:01-B*13:01-C*04:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02012,492
 73  A*02:07:01-B*13:01:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01915,266
 74  A*02:06:01-B*13:01:01-C*03:04:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01895,266
 75  A*02:131-B*13:01-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.01835,829
 76  A*24:02:01-B*13:01:01-C*03:04:04-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01785,266
 77  A*11:01:01-B*13:01:01-C*04:06:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01775,266
 78  A*02:01-B*13:01-C*04:06-DRB1*15:02  Hong Kong Chinese BMDR 0.01757,595
 79  A*11:01-B*13:01-C*04:06-DRB1*15:02  Hong Kong Chinese BMDR 0.01547,595
 80  A*68:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01544,204
 81  A*03:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.015111,446
 82  A*30:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.013011,446
 83  A*02:06-B*13:01-C*03:04-DRB1*15:02  Hong Kong Chinese BMDR 0.01207,595
 84  A*02:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 85  A*02:11-B*13:01-C*06:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 86  A*02:131-B*13:01-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 87  A*24:07-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India East UCBB 0.01152,403
 88  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01144,204
 89  A*01:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India North UCBB 0.01085,849
 90  A*02:01:01-B*13:01:01-C*03:04:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01065,266
 91  A*24:02-B*13:01-C*04:03-DRB1*15:02  Hong Kong Chinese BMDR 0.01067,595
 92  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*05:02  India Central UCBB 0.01024,204
 93  A*31:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.010111,446
 94  A*11:01-B*13:01-C*04:06-DRB1*15:02-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 95  A*02:06:01-B*13:01:01-C*12:02:02-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 96  A*68:01-B*13:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00922,492
 97  A*02:01-B*13:01-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00907,595
 98  A*11:01:01-B*13:01:01-C*03:04:04-DRB1*15:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 99  A*11:01:01-B*13:01:01-C*03:04:04-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00885,266
 100  A*02:01-B*13:01-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829

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 127) 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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