Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 130) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 3.4965143
 2  B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 3.4965143
 3  B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 2.9900234
 4  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 2.777872
 5  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 2.0979143
 6  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.5000234
 7  B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.5000234
 8  B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.3986143
 9  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 10  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 11  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 12  A*68:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 13  A*68:01-B*35:20-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 14  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 15  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 16  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Mexican or Chicano 0.8120261,235
 17  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 18  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 19  A*02:06-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 20  A*24:02-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 21  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 22  A*24:02-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 23  A*31:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 24  A*02:01:01-B*44:02:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 25  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 26  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 27  A*68:03:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 28  A*68:03:01-B*48:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 29  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.6494339
 30  B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6400234
 31  A*24:02-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.58981,376
 32  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Hispanic South or Central American 0.4762146,714
 33  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.46301,999
 34  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 35  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 36  A*02:06-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 37  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 38  A*31:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 39  A*68:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 40  A*68:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02-DPB1*04:02  Panama 0.3800462
 41  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.37401,999
 42  A*01:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 43  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 44  A*02:01-B*35:16-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 45  A*02:06-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 46  A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 47  A*68:05-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 48  B*35:16-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 49  A*02:03:01-B*35:03:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 50  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 51  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 52  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 53  A*24:02-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 54  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 55  A*24:02-B*35:17-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:12-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 56  A*31:01-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 57  A*31:01-B*39:05-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 58  A*68:03-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 59  A*02:06:01-B*35:16-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 60  A*31:01:02-B*15:09-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 61  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP American Indian South or Central America 0.22545,926
 62  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQA1*05:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 63  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.18701,999
 64  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.17251,376
 65  A*68:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.16601,463
 66  A*24:02-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14401,999
 67  A*02:01-B*35:03-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 68  A*02:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  Italy pop 5 0.1400975
 69  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 70  A*31:01:02-B*35:03:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 71  A*31:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 72  A*02:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 73  A*02:01-B*40:02-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10221,463
 74  A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09961,463
 75  A*02:11-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.08032,492
 76  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Caribean Hispanic 0.0744115,374
 77  A*02:11-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.074411,446
 78  A*02:09-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.072311,446
 79  A*03:01-B*35:03-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 80  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 81  A*24:02-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 82  A*24:03-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 83  A*24:14-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 84  A*02:06-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 85  A*02:06-B*52:01-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 86  A*02:11-B*35:22-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 87  A*24:02-B*35:14-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 88  A*24:02-B*35:22-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 89  A*24:25-B*35:22-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 90  A*29:01-B*44:03-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 91  A*31:01-B*35:04-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 92  A*31:01-B*35:28-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 93  A*68:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 94  A*68:02-B*35:28-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 95  A*68:03-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 96  A*31:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03841,463
 97  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03561,463
 98  A*02:22-B*40:02-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 99  A*03:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 100  A*24:02-B*53:01-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463

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 130) 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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