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 168) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 7.0994296
 2  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 7.0000170
 3  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Vietnamese 5.572443,540
 4  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 3.8440101
 5  A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Nu 3.4000107
 6  A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Lisu 2.5000111
 7  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 2.481399,672
 8  A*02:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.7000170
 9  A*02-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Nu 1.7000107
 10  A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*31:01  China Yunnan Province Lisu 1.7000111
 11  A*02:07:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 1.6010101
 12  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 1.51831,734
 13  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 1.41301,772
 14  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Vietnamese 1.175243,540
 15  A*68:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 1.1021296
 16  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Vietnamese 1.071143,540
 17  A*29:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 18  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.98595,829
 19  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.9667951
 20  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.9200296
 21  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.85202,403
 22  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.8499951
 23  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Chinese 0.7732194
 24  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Southeast Asian 0.750927,978
 25  A*24:17-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.5793185,391
 26  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.5602714
 27  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 28  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Filipino 0.527750,614
 29  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Central UCBB 0.52134,204
 30  A*24:20-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 31  A*24:07-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.4601951
 32  B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 33  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.39582,492
 34  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Southeast Asian 0.316927,978
 35  A*02:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.30572,403
 36  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 0.301699,672
 37  A*33:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 38  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.2801714
 39  A*11:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.26901,772
 40  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.26701,772
 41  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*21:01  USA San Diego 0.2600496
 42  A*24:02:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.25321,734
 43  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Filipino 0.252550,614
 44  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2485185,391
 45  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 0.239299,672
 46  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2333185,391
 47  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.21392,403
 48  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Korean 0.203577,584
 49  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 50  A*01:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.17742,403
 51  A*02:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.17015,829
 52  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.1697185,391
 53  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.16632,403
 54  A*02:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.15701,772
 55  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Southeast Asian 0.156627,978
 56  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.151811,446
 57  A*02:06-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 58  A*02:11:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 59  A*02:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India North UCBB 0.13685,849
 60  A*02:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.13262,492
 61  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.13101,772
 62  A*02:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Central UCBB 0.13094,204
 63  A*01:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Central UCBB 0.12784,204
 64  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.117911,446
 65  A*02:06:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.11481,734
 66  A*02:06-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.1120951
 67  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.10805,829
 68  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.101111,446
 69  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Central UCBB 0.09624,204
 70  A*24:03:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.08831,734
 71  A*02:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.082811,446
 72  A*02:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 73  A*02:05-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 74  A*02:06-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 75  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*21:01  Sri Lanka Colombo 0.0700714
 76  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 77  A*03:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.06502,492
 78  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.06065,829
 79  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India North UCBB 0.05685,849
 80  A*01:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0531951
 81  A*11:12-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 82  A*24:10-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 83  A*02:11-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.05255,829
 84  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.05022,492
 85  A*01:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India North UCBB 0.04995,849
 86  A*02:06-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.049111,446
 87  A*33:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.04805,829
 88  A*01:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.04772,492
 89  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Filipino 0.047050,614
 90  A*33:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.04682,403
 91  A*02:07-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.04601,772
 92  A*33:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Central UCBB 0.04514,204
 93  A*02:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.04401,772
 94  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA African American pop 4 0.04402,411
 95  A*01:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.04375,829
 96  A*02:11-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.04162,403
 97  A*02:11-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India North UCBB 0.03715,849
 98  A*02:07:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.03541,734
 99  A*02:03:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.03281,734
 100  A*11:02:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.03041,734

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 168) 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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