Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 259) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:01-DRB1*14:04  Malaysia Kedah Kensiu 4.760021
 2  A*24:07-B*51:01-DRB1*14:04  Malaysia Kedah Kensiu 4.760021
 3  A*11:01-B*51:01-C*14:02-DRB1*14:04  China Southwest Dai 2.8000124
 4  A*11:01-B*51:01-DRB1*14:04  China Southwest Dai 2.8000124
 5  B*51:01-C*14:02-DRB1*14:04  China Southwest Dai 2.8000124
 6  A*74:01-B*51:01-DRB1*14:04  Malaysia Kelantan 1.785728
 7  A*24:07-B*51:01-DRB1*14:04  Malaysia Pahang Semai 1.320038
 8  A*02:11:01-B*51:01:01-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.8620174
 9  A*11:01-B*51:01-DRB1*14:04  Israel Iraq Jews 0.674013,270
 10  A*68:01:02:02-B*51:01:01:01-C*07:04:01-DRB1*14:04:01-DQB1*05:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 11  A*24:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.3690271
 12  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 13  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
 14  A*03:01:01-B*51:01:01-C*07:01:01-DRB1*14:04:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 15  A*03:01:01-B*51:01:01-C*15:04:01-DRB1*14:04:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 16  A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.2629951
 17  A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.17801,772
 18  A*02:11-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.171111,446
 19  A*31:12-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.1689296
 20  A*68:152-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.1689296
 21  A*74:01-B*51:01-C*14:02-DRB1*14:04  Hong Kong Chinese BMDR 0.14487,595
 22  A*02:11-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.14082,492
 23  A*24:02-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.14022,492
 24  A*02:11-B*51:01-C*07:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 25  A*02:11-B*51:01-C*14:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 26  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*14:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 27  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 28  A*31:01:02-B*51:01:01-C*07:04:01-DRB1*14:04:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 29  A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.09884,204
 30  A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.09452,492
 31  A*11:01-B*51:01-C*14:02-DRB1*14:04  Hong Kong Chinese BMDR 0.09177,595
 32  A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.09075,829
 33  A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.090111,446
 34  A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.08234,204
 35  A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.08095,849
 36  A*24:02-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.078011,446
 37  A*68:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.070511,446
 38  A*24:02-B*51:01-C*14:02-DRB1*14:04-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 39  A*24:02-B*51:01-C*16:02-DRB1*14:04-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 40  A*68:01-B*51:01-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*03:01  Sri Lanka Colombo 0.0700714
 41  A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.06485,849
 42  A*11:01-B*51:01-DRB1*14:04  Hong Kong Chinese cord blood registry 0.06453,892
 43  A*11:01:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06375,266
 44  A*01:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.06365,829
 45  A*03:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.06242,403
 46  A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.06242,403
 47  A*02:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.05764,204
 48  A*11:01:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  China Zhejiang Han 0.05361,734
 49  A*26:01-B*51:01-DRB1*14:04  Israel Iraq Jews 0.053513,270
 50  A*11:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 51  A*74:01-B*51:01-DRB1*14:04  Hong Kong Chinese cord blood registry 0.05143,892
 52  A*03:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.05055,849
 53  A*11:01-B*51:01-C*04:01-DRB1*14:04-DQB1*05:03  India North UCBB 0.05035,849
 54  B*51:01-DRB1*14:04  Italy pop 5 0.0500975
 55  A*03:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.04832,492
 56  A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.04714,204
 57  A*02:02-B*51:01-DRB1*14:04  Israel Tunisia Jews 0.04619,070
 58  A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.046011,446
 59  A*02:11-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.04592,492
 60  A*68:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.04455,829
 61  A*11:01:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04435,266
 62  A*02:03-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.04401,772
 63  A*11:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.04401,772
 64  A*02:11-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.04295,829
 65  A*24:02-B*51:01-C*15:04-DRB1*14:04-DQB1*05:03  India North UCBB 0.04275,849
 66  A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.04162,403
 67  A*01:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.041411,446
 68  A*26:01-B*51:01-C*14:02-DRB1*14:04  Germany DKMS - Romania minority 0.04101,234
 69  A*74:02:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04075,266
 70  A*02:01-B*51:01-C*06:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.04012,492
 71  A*26:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.04012,492
 72  A*33:03-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.04012,492
 73  A*26:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.03992,403
 74  A*02:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.03922,492
 75  A*33:03-B*51:01-C*07:02-DRB1*14:04  Germany DKMS - China minority 0.03901,282
 76  A*01:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.03535,849
 77  A*02:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.034611,446
 78  A*68:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.03452,492
 79  A*02:07:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  China Zhejiang Han 0.03291,734
 80  A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.03265,829
 81  A*30:01:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 82  A*74:02:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 83  A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.028311,446
 84  A*24:02-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.02825,829
 85  A*31:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.028111,446
 86  A*01:01-B*51:01-DRB1*14:04  Israel Iraq Jews 0.027513,270
 87  A*02:11-B*51:01-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.027111,446
 88  A*11:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.02705,829
 89  A*24:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02692,403
 90  A*26:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.02664,204
 91  A*11:01-B*51:01-C*01:02-DRB1*14:04  Germany DKMS - Greece minority 0.02601,894
 92  A*32:01-B*51:01-DRB1*14:04  Hong Kong Chinese cord blood registry 0.02573,892
 93  A*11:01-B*51:01-C*04:01-DRB1*14:04-DQB1*05:03  India West UCBB 0.02575,829
 94  A*03:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.02525,829
 95  A*68:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.02485,829
 96  A*01:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02462,492
 97  A*02:03-B*51:01-C*14:02-DRB1*14:04  Hong Kong Chinese BMDR 0.02467,595
 98  A*02:06-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02382,492
 99  A*02:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.02384,204
 100  A*24:02-B*51:01-C*07:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.02384,204

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 259) 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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