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 587) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68-B*15-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 4.170048
 2  B*15:01:01-DRB1*04:03  Taiwan Siraya 2.900051
 3  A*31:01:02-B*15:01-DRB1*04:03-DQB1*03:02  USA South Dakota Lakota Sioux 2.2000302
 4  A*02-B*15-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 2.080048
 5  B*15:01-DRB1*04:03-DQB1*03:02  South Korea pop 3 1.6000485
 6  A*31:01-B*15:30-DRB1*04:03  Mexico Oaxaca Jamiltepec Mixtec 1.560096
 7  B*15:01-C*04:01-DRB1*04:03  South Korea pop 3 1.3000485
 8  A*24-B*15-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.200048
 9  A*02-B*15-DRB1*04:03-DQB1*03:02  Colombia San Basilio de Palenque 1.191042
 10  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 11  A*02-B*15-DRB1*04:03-DQB1*03:03  Colombia Wayu from Guajira Peninsula 1.040048
 12  A*31-B*15-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 13  A*11:01-B*15:01-DRB1*04:03  South Korea pop 3 1.0000485
 14  B*15:02-DRB1*04:03  Philippines Ivatan 1.000050
 15  A*68:19-B*15:01-C*03:28-DRB1*04:03-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 16  A*24-B*15-DRB1*04:03-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 17  A*01:01-B*15:17-DRB1*04:03  Israel Morocco Jews 0.854036,718
 18  A*32:01-B*15:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 0.770066
 19  A*24:02-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 20  A*69-B*15-DRB1*04:03-DQB1*03:02  Bolivia Quechua 0.720069
 21  A*26:01:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.5620356
 22  A*02:01-B*15:01-DRB1*04:03  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 23  A*02:01-B*15:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 24  A*68:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.4202714
 25  A*01:01-B*15:01-DRB1*04:03  Israel Morocco Jews 0.401036,718
 26  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.39651,376
 27  A*02:01-B*15:03-C*02:02-DRB1*04:03-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.3333150
 28  A*24:02-B*15:07-C*03:03-DRB1*04:03  Japan pop 16 0.323018,604
 29  A*02:06-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.28991,376
 30  A*01:01:01-B*15:17:01-C*12:02:01-DRB1*04:03:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 31  A*33:03:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 32  A*68:01:02-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 33  A*01:01:01-B*15:25:01-C*07:26:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 34  A*11:01:01-B*15:17:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 35  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 36  A*02:11:01-B*15:02:01-C*04:03:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 37  A*11:01:01-B*15:05:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 38  A*24:02:13-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 39  A*02:01-B*15:07-C*03:03-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 40  A*24:02-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 41  A*24:02-B*15:07-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 42  A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.22952,492
 43  A*11:01-B*15:01-DRB1*04:03  Hong Kong Chinese cord blood registry 0.22793,892
 44  A*26:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.2101714
 45  A*11:01-B*15:01-C*04:01-DRB1*04:03  Hong Kong Chinese BMDR 0.20737,595
 46  A*02-B*15-DRB1*04:03  USA NMDP Hispanic 0.2000449,844
 47  A*29:02:01-B*15:03:01-C*16:01:01-DRB1*04:03:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 48  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 49  A*01:01-B*15:17-DRB1*04:03  Israel Druze 0.18605,914
 50  A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 51  A*03:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 52  A*24:02-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 53  A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 54  A*01:01-B*15:17-DRB1*04:03  Israel Tunisia Jews 0.17909,070
 55  A*02:06-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 56  A*24:17-B*15:02-C*08:01-DRB1*04:03-DQB1*06:01  India Northeast UCBB 0.1689296
 57  A*33:03-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 58  A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.163211,446
 59  A*02:02-B*15:17-DRB1*04:03  Israel Morocco Jews 0.160036,718
 60  A*24:02-B*15:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 61  A*25:01-B*15:01-C*03:03-DRB1*04:03  Germany DKMS - Croatia minority 0.14602,057
 62  A*11:01-B*15:18-C*16:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 63  A*24:02:01-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 64  A*26:01:01-B*15:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 65  A*32:01-B*15:17-DRB1*04:03  Israel Morocco Jews 0.123036,718
 66  A*11:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.121111,446
 67  A*02:01-B*15:17-DRB1*04:03  Israel USA Jews 0.12106,058
 68  A*03:01-B*15:17-DRB1*04:03  Israel Arab pop 2 0.115012,301
 69  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Russia Karelia 0.11211,075
 70  A*02:01-B*15:01-DRB1*04:03  Hong Kong Chinese cord blood registry 0.10943,892
 71  A*31:08-B*15:17-DRB1*04:03  Israel Druze 0.10805,914
 72  A*01:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.10172,492
 73  A*24-B*15-DRB1*04:03  USA NMDP Asian and Pacific Islander 0.1000359,423
 74  A*31:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 75  A*03:02-B*15:17-DRB1*04:03  Israel Argentina Jews 0.09644,307
 76  A*02:06-B*15:30-C*01:02-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 77  A*31:01-B*15:17-DRB1*04:03  Israel Iraq Jews 0.090213,270
 78  A*31:01-B*15:01-C*04:01-DRB1*04:03  Germany DKMS - Spain minority 0.09001,107
 79  A*24:07-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 80  A*24:02-B*15:01-DRB1*04:03  Hong Kong Chinese cord blood registry 0.08893,892
 81  A*02:01-B*15:17-DRB1*04:03  Israel Poland Jews 0.088013,871
 82  A*02:01-B*15:17-DRB1*04:03  Israel Ashkenazi Jews pop 3 0.08324,625
 83  A*02-B*15-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 84  A*11:01-B*15:07-C*03:03-DRB1*04:03  Germany DKMS - China minority 0.07801,282
 85  A*01:01-B*15:17-DRB1*04:03  Israel Arab pop 2 0.076312,301
 86  A*24:02-B*15:01-C*04:01-DRB1*04:03  Hong Kong Chinese BMDR 0.07617,595
 87  A*24:02-B*15:25-C*07:26-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07302,492
 88  A*02:06-B*15:01-DRB1*04:03  Hong Kong Chinese cord blood registry 0.07033,892
 89  A*01:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 90  A*01:01-B*15:17-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 91  A*01:01-B*15:18-C*16:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*21:01  Sri Lanka Colombo 0.0700714
 92  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 93  A*11:01-B*15:13-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 94  A*30:01-B*15:18-C*06:02-DRB1*04:03-DQA1*02:01-DQB1*03:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 95  A*68:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 96  A*31:01-B*15:07-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 97  A*03:01-B*15:09-C*07:04-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 98  A*11:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06352,492
 99  A*31:01-B*15:08-C*01:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.06212,403
 100  A*24:02-B*15:18-C*16:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.061011,446

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 587) records   Pages: 1 2 3 4 5 6 of 6  


   

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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