Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 148) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:01-C*15:09-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 5.223967
 2  A*24:02-B*40:02-C*03:05-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 3.191547
 3  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 2.7523218
 4  A*24:02-B*35:01-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 5  A*24:02-B*35:01-C*04:01-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 6  A*68:01-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Brazil Puyanawa 2.0000150
 7  A*24:02-B*35:01-C*03:04-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 8  A*24:02-B*35:01-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 9  A*24:02-B*35:12-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 10  A*24:02-B*35:17-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 11  A*24:02-B*39:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 12  A*24:02-B*39:02-C*07:02-DRB1*04:11-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 13  A*24:02-B*39:06-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 14  A*24:02-B*40:08-C*03:04-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 15  A*68:01-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 16  A*68:01-B*40:08-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 17  A*68:01-B*51:01-C*08:01-DRB1*14:02-DQA1*05:03-DQB1*03:04  Mexico Chichen Itza Maya (prehispanic) 1.063847
 18  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*05:03-DQB1*03:04  Mexico Chichen Itza Maya (prehispanic) 1.063847
 19  A*68:03-B*40:02-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:04  Mexico Chichen Itza Maya (prehispanic) 1.063847
 20  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.9174218
 21  A*02:01-B*35:01-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:04  Mexico Tixcacaltuyub Maya 0.746367
 22  A*24:02-B*35:01-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 23  A*24:02-B*35:17-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 24  A*24:02-B*35:20-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 25  A*24:02-B*35:20-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 26  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 27  A*24:02-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 28  A*68:01-B*35:17-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:04  Mexico Tixcacaltuyub Maya 0.746367
 29  A*68:03-B*39:05-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 30  A*02:06-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.6881218
 31  A*02:01-B*15:04-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01  Brazil Puyanawa 0.6667150
 32  A*68:01-B*40:02-C*03:02-DRB1*14:02-DQA1*05:03-DQB1*03:02  Brazil Puyanawa 0.6667150
 33  DQA1*05:03-DQB1*03:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.58691,064
 34  A*24:02-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 35  DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.42061,064
 36  A*02-B*15-DRB1*14:02-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.3900641
 37  A*02:01-B*15:01-C*03:03-DRB1*14:02-DQA1*05:03-DQB1*03:01  Brazil Puyanawa 0.3333150
 38  A*02:01-B*15:04-C*03:03-DRB1*14:02-DQA1*05:03-DQB1*06:02  Brazil Puyanawa 0.3333150
 39  A*31:01-B*35:06-C*04:01-DRB1*14:06-DQA1*05:03-DQB1*03:01  Brazil Puyanawa 0.3333150
 40  A*31:01-B*39:05-C*04:01-DRB1*14:06-DQA1*05:03-DQB1*03:01  Brazil Puyanawa 0.3333150
 41  A*68:01-B*39:01-C*03:02-DRB1*14:02-DQA1*05:03-DQB1*03:02  Brazil Puyanawa 0.3333150
 42  A*68:01-B*40:02-C*03:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Brazil Puyanawa 0.3333150
 43  A*68:01-B*40:02-C*03:04-DRB1*14:06-DQA1*05:03-DQB1*06:01  Brazil Puyanawa 0.3333150
 44  A*02:01:01-B*40:02:01-C*03:04:01-DRB1*14:03:01-DQA1*05:03-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 45  A*26:01-B*40:02-C*03:04-DRB1*08:01-DQA1*05:03-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 46  DRB1*13:12-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.3238833
 47  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.29003,078
 48  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.23003,078
 49  A*02:01-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 50  A*02:01-B*40:02-C*03:05-DRB1*14:02-DQA1*05:03-DQB1*03:04-DPA1*01:03-DPB1*03:01  Mexico Chiapas Lacandon Mayans 0.2294218
 51  A*02:06-B*51:01-C*08:01-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 52  A*24:02-B*35:12-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 53  A*24:02-B*39:05-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 54  A*24:02-B*39:08-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 55  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 56  A*24:14-B*35:12-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 57  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 58  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*14:01  Mexico Chiapas Lacandon Mayans 0.2294218
 59  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*02:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 60  A*31:01-B*35:08-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*126:01  Mexico Chiapas Lacandon Mayans 0.2294218
 61  A*31:01-B*35:08-C*04:01-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*126:01  Mexico Chiapas Lacandon Mayans 0.2294218
 62  A*68:01-B*39:01-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 63  A*68:01-B*39:05-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 64  A*68:03-B*35:01-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 65  A*68:03-B*39:05-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 66  A*26:02-B*15:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.20003,078
 67  DRB1*13:12-DQA1*05:03-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.1664833
 68  A*24:02-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 69  DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1289833
 70  DRB1*13:12-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.1200833
 71  DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1200833
 72  A*01-B*39-DRB1*14:06-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 73  A*02-B*27-DRB1*11:01-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 74  A*02-B*35-DRB1*14:02-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 75  A*02-B*58-DRB1*14:06-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 76  A*02-B*58-DRB1*15:01-DQA1*05:03-DQB1*03:19  Brazil Paraná Caucasian 0.0780641
 77  A*03-B*15-DRB1*10:01-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 78  A*11-B*55-DRB1*11:01-DQA1*05:03-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 79  A*24-B*51-DRB1*11:01-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 80  A*24-B*57-DRB1*07:01-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 81  A*30-B*51-DRB1*14:02-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 82  A*31-B*35-DRB1*14:02-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 83  A*33-B*14-DRB1*14:02-DQA1*05:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 84  A*02:01-B*40:01-C*03:04-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 85  A*02:06-B*39:01-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 86  A*02:06-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 87  A*33:03-B*15:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 88  DRB1*13:12-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.0643833
 89  DRB1*13:12-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*09:01  China Zhejiang Han pop 2 0.0600833
 90  DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 91  DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*05:01  China Zhejiang Han pop 2 0.0600833
 92  DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*41:01  China Zhejiang Han pop 2 0.0600833
 93  DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.0600833
 94  DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.0512833
 95  DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.04371,064
 96  DRB1*13:12-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.0321833
 97  A*02:01-B*15:01-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 98  A*02:01-B*15:01-C*08:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 99  A*02:01-B*39:01-C*03:03-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 100  A*02:01-B*40:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078

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 148) 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.
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