Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 111) 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*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
 25  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
 26  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
 27  B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6400234
 28  A*24:02-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.58981,376
 29  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
 30  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.46301,999
 31  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
 32  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 33  A*02:06-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 34  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 35  A*31:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 36  A*68:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 37  A*68:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02-DPB1*04:02  Panama 0.3800462
 38  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.37401,999
 39  A*01:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 40  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 41  A*02:01-B*35:16-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 42  A*02:06-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 43  A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 44  A*68:05-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 45  B*35:16-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 46  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
 47  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
 48  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
 49  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
 50  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
 51  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
 52  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
 53  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
 54  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
 55  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
 56  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
 57  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
 58  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.18701,999
 59  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.17251,376
 60  A*68:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.16601,463
 61  A*24:02-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14401,999
 62  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
 63  A*02:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  Italy pop 5 0.1400975
 64  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 65  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
 66  A*31:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 67  A*02:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 68  A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09961,463
 69  A*02:11-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.08032,492
 70  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Caribean Hispanic 0.0744115,374
 71  A*02:11-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.074411,446
 72  A*02:09-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.072311,446
 73  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
 74  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 75  A*24:02-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 76  A*24:03-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 77  A*24:14-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 78  A*02:06-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 79  A*02:11-B*35:22-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 80  A*24:02-B*35:14-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 81  A*24:02-B*35:22-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 82  A*24:25-B*35:22-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 83  A*31:01-B*35:04-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 84  A*31:01-B*35:28-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 85  A*68:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 86  A*68:02-B*35:28-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 87  A*68:03-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 88  A*31:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03841,463
 89  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03561,463
 90  A*03:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 91  A*24:02-B*35:05-C*04:01-DRB1*08:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 92  A*02:11-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India Central UCBB 0.02384,204
 93  A*26:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India West UCBB 0.01725,829
 94  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.017011,446
 95  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP North American Amerindian 0.016535,791
 96  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.013111,446
 97  A*11:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.011911,446
 98  A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  India West UCBB 0.00865,829
 99  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  India North UCBB 0.00855,849
 100  A*02:11-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India North UCBB 0.00855,849

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 111) 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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