Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Displaying 1 to 100 (from 299) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*35:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 2.310066
 2  B*35:01-DRB1*04:03  Taiwan Siraya 2.000051
 3  A*31:01-B*35:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 4  A*24:02-B*35:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.3700105
 5  A*02:06-B*35:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 6  A*02:01-B*35:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.0100105
 7  A*24:11N-B*35:01-C*12:02-DRB1*04:03-DQA1*01:02-DQB1*03:02  United Arab Emirates Abu Dhabi 0.960052
 8  A*68:01-B*35:01-DRB1*04:03-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 9  A*30:02:01-B*35:01:01-C*17:01:01-DRB1*04:03:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 10  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 11  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 12  A*68:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.5535271
 13  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 14  A*02:06-B*35:01-DRB1*04:03  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 15  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101
 16  A*02:06-B*35:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 17  A*02:01-B*35:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.4545330
 18  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 19  A*31:08-B*35:01-DRB1*04:03  Israel USSR Jews 0.401045,681
 20  A*32:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.3690271
 21  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 22  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.3110356
 23  A*25:01-B*35:01-DRB1*04:03  Israel Libya Jews 0.29003,739
 24  A*29:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 25  A*24:02:01-B*35:01:01-C*15:02:01-DRB1*04:03:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 26  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.25195,849
 27  A*33:03:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2510356
 28  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:05:01  Spain, Canary Islands, Gran canaria island 0.2300215
 29  A*68:03-B*35:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 30  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India East UCBB 0.22752,403
 31  A*03:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.22402,492
 32  A*02:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.21801,376
 33  A*32:01-B*35:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 34  A*02:06-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.21001,376
 35  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Central UCBB 0.20734,204
 36  A*02:01-B*35:01-C*04:01-DRB1*04:03  Italy pop 5 0.2000975
 37  A*25:01-B*35:01-DRB1*04:03  Israel Tunisia Jews 0.19909,070
 38  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 39  A*02:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Panama 0.1900462
 40  A*24:02-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 41  A*02:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 42  A*03:01-B*35:01-C*04:01-DRB1*04:03  Germany DKMS - Spain minority 0.18101,107
 43  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 44  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.16435,829
 45  A*26:01-B*35:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 46  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*02:02  Italy pop 5 0.1400975
 47  A*24:07:01-B*35:01:01-C*12:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 48  A*24:02-B*35:01-C*03:03-DRB1*04:03  Japan pop 16 0.136018,604
 49  A*02:06-B*35:01-C*03:03-DRB1*04:03  Japan pop 16 0.130018,604
 50  B*35:01-DRB1*04:03  Italy pop 5 0.1300975
 51  A*03:01-B*35:01-C*04:01-DRB1*04:03  Germany DKMS - Greece minority 0.12301,894
 52  A*31:01-B*35:01-C*03:03-DRB1*04:03  Germany DKMS - China minority 0.11701,282
 53  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.114011,446
 54  A*26:01-B*35:01-C*03:03-DRB1*04:03  Japan pop 16 0.104018,604
 55  A*26:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.10012,492
 56  A*26:03-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 57  A*26:03-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.10003,078
 58  A*02:01-B*35:01-DRB1*04:03  Israel Arab pop 2 0.093812,301
 59  A*26:03-B*35:01-C*03:03-DRB1*04:03  Japan pop 16 0.089018,604
 60  A*03:02-B*35:01-DRB1*04:03  Israel USSR Jews 0.086645,681
 61  A*32:01-B*35:01-C*04:01-DRB1*04:03  Germany DKMS - Portugal minority 0.08501,176
 62  A*02:01-B*35:01-C*03:03-DRB1*04:03  Japan pop 16 0.083018,604
 63  A*03:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Central UCBB 0.08144,204
 64  A*24:02-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07962,492
 65  A*68:01-B*35:01-C*04:01-DRB1*04:03  Germany DKMS - Greece minority 0.07901,894
 66  A*24:02-B*35:01-C*03:03-DRB1*04:03  Germany DKMS - China minority 0.07801,282
 67  A*33:03-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07472,492
 68  A*69:01-B*35:01-DRB1*04:03  Israel YemenJews 0.073715,542
 69  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07312,492
 70  A*24:02-B*35:01-C*08:01-DRB1*04:03  Japan pop 16 0.073018,604
 71  A*68:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.072911,446
 72  A*03:01-B*35:01-C*04:01-DRB1*04:03-DQA1*01:01-DQB1*03:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 73  A*02:01-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 74  A*02:06-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 75  A*26:01-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 76  A*26:01-B*35:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 77  A*33:03-B*35:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 78  A*01:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.069711,446
 79  A*03:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.067211,446
 80  A*11:01-B*35:01-C*04:01-DRB1*04:03  Germany DKMS - Greece minority 0.06601,894
 81  A*31:01-B*35:01-C*03:03-DRB1*04:03  Japan pop 16 0.063018,604
 82  A*11:01-B*35:01-DRB1*04:03  Israel USSR Jews 0.061645,681
 83  A*11:01-B*35:01-C*03:03-DRB1*04:03  Hong Kong Chinese BMDR 0.05547,595
 84  A*24:02-B*35:01-C*03:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.05401,772
 85  A*11:01-B*35:01-C*08:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 86  A*68:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India East UCBB 0.04902,403
 87  A*01:01-B*35:01-DRB1*04:03  Israel USSR Jews 0.048845,681
 88  A*03:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 89  A*25:01-B*35:01-C*03:03-DRB1*04:03-DQB1*03:05  USA Hispanic pop 2 0.04701,999
 90  A*24:02-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 91  A*24:02-B*35:01-C*08:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 92  A*26:02-B*35:01-C*08:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 93  A*31:01-B*35:01-C*03:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 94  A*24:02-B*35:01-C*03:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 95  A*26:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.04304,856
 96  A*32:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04242,492
 97  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04235,266
 98  A*02:06-B*35:01-C*08:01-DRB1*04:03  Japan pop 16 0.042018,604
 99  A*03:01-B*35:01-DRB1*04:03  Israel Georgia Jews 0.04154,471
 100  A*68:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.04145,829

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 299) 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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