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 235) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 6.3100105
 2  A*02:01-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 6.3000105
 3  A*68:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 3.2000105
 4  A*68:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 3.1800105
 5  A*24-B*35-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 3.130048
 6  A*02-B*35-DRB1*04:03-DQB1*03:02  Bolivia Quechua 2.900069
 7  A*68:01-B*35:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 2.310066
 8  A*24:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.9600105
 9  A*24-B*35-DRB1*04:03-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 10  A*02-B*35-DRB1*04:03-DQB1*03:02  Bolivia La Paz Aymaras 1.631087
 11  A*02:01-B*35:04-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 12  A*31:01-B*35:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 13  A*68:03-B*35:43-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 14  A*24:02-B*35:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.3700105
 15  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
 16  A*24:02-B*35:17-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 17  A*02:01-B*35:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.0100105
 18  A*02:14-B*35:43-C*01:06-DRB1*04:03-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 19  A*24:02-B*35:43-C*01:02-DRB1*04:03-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 20  A*02:01-B*35:08-C*05:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  United Arab Emirates Abu Dhabi 0.960052
 21  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
 22  A*24-B*35-DRB1*04:03-DQB1*03:02  Gaza Palestinians 0.9000165
 23  B*35:43-C*01:02-DRB1*04:03-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.8600234
 24  A*01:01-B*35:02-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Kosovo 0.8060124
 25  A*24:02-B*35:20-C*03:05-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 26  A*24-B*35-DRB1*04:03-DQB1*03:02  Bolivia Quechua 0.720069
 27  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 28  A*30:01-B*35:03-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.6667150
 29  A*68:01-B*35:01-DRB1*04:03-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 30  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 31  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
 32  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
 33  A*68:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.5535271
 34  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
 35  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101
 36  A*31:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 37  A*31:01:02-B*35:20-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 38  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
 39  A*02:01-B*35:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.4545330
 40  A*02:01-B*35:03-C*06:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 41  A*68:03-B*35:43-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.4329339
 42  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 43  A*32:01-B*35:08-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 44  A*32:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.3690271
 45  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
 46  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
 47  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
 48  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
 49  A*03:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.22402,492
 50  A*02:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.21801,376
 51  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
 52  A*68:01-B*35:43-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 53  A*02:06-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.21001,376
 54  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.20734,204
 55  A*03:01-B*35:03-C*04:01-DRB1*04:03:01-DQB1*03:02:01  England North West 0.2000298
 56  A*24:02-B*35:08:01-C*04:01-DRB1*04:03:01-DQB1*03:02:01  England North West 0.2000298
 57  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
 58  A*02:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Panama 0.1900462
 59  A*24:02-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 60  A*24:02-B*35:31-C*03:05-DRB1*04:03-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 61  A*31:12-B*35:05-C*03:04-DRB1*04:03-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 62  A*01:01-B*35:03-C*01:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 63  A*02:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 64  A*03:01-B*35:30-C*07:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 65  A*02:01-B*35:08-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.16904,856
 66  A*03:01-B*35:03-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.15472,492
 67  A*02:01-B*35:02-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 68  A*26:01-B*35:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 69  A*02:11-B*35:03-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.14692,492
 70  A*23:01-B*35:08-C*04:01-DRB1*04:03-DQB1*03:02  Italy pop 5 0.1400975
 71  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
 72  A*24:02-B*35:08-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.13304,856
 73  A*24:02-B*35:03-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Russia Karelia 0.11291,075
 74  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.105023,595
 75  A*24:02-B*35:43-C*01:02-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.10291,463
 76  A*26:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.10012,492
 77  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
 78  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
 79  A*02:01-B*35:03-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 80  A*02:01-B*35:12-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 81  A*02:06-B*35:17-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 82  A*24:02-B*35:43-C*01:02-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 83  A*68:03-B*35:43-C*01:02-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 84  A*24-B*35-DRB1*04:03-DQB1*03:02  Bolivia La Paz Aymaras 0.093087
 85  A*11:01-B*35:03-C*04:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 86  A*24:02-B*35:03-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.08552,492
 87  A*03:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.08144,204
 88  A*24:02-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07962,492
 89  A*03:01-B*35:03-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*03:01  Russia Karelia 0.07811,075
 90  A*11-B*35-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 91  A*69-B*35-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 92  A*33:03-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07472,492
 93  A*11:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07312,492
 94  A*02:01-B*35:03-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07182,492
 95  A*01:01-B*35:03-C*04:01-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.07034,204
 96  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
 97  A*31:01-B*35:03-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*05:01  Sri Lanka Colombo 0.0700714
 98  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
 99  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
 100  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

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 235) 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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