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 89 (from 89) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*15:01-DRB1*15:06  Gaza 1.282042
 2  A*03:01:01-B*53:01:01-C*04:01:01-DRB1*15:06:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 3  A*02:01-B*39:01-DRB1*15:06-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 4  DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.44101,772
 5  A*01:01:01-B*58:01:01-C*03:02:01-DRB1*15:06:01-DQB1*05:02:01  India Karnataka Kannada Speaking 0.2870174
 6  A*11:01:01-B*51:01:01-C*12:02:02-DRB1*15:06:01-DQB1*05:02:01  India Karnataka Kannada Speaking 0.2870174
 7  A*01:01:01-B*37:01:01-C*07:02:01-DRB1*15:06:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 8  A*26:01:01-B*15:01:01-C*04:01:01-DRB1*15:06:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*03:01-B*15:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 10  A*03:01-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 11  A*01:01:01-B*15:30:01-C*03:03:01-DRB1*15:06:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*24:02-B*51:04-C*14:02-DRB1*15:06-DQB1*05:02  Malaysia Peninsular Indian 0.1845271
 13  A*11:01-B*44:03-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*26:01  Sri Lanka Colombo 0.1401714
 14  A*11:01-B*56:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 15  A*33:03-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*26:01  Sri Lanka Colombo 0.1401714
 16  A*33:03-B*44:03-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.1401714
 17  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 18  A*03:01:01-B*18:01:01-C*01:02:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 19  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 20  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 21  A*24:02:01-B*40:06:01-C*12:02:02-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 22  A*33:03:01-B*27:05:02-C*07:01:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 23  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:06:01-DQB1*05:35  India Kerala Malayalam speaking 0.1400356
 24  A*11:01-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.08901,772
 25  A*03:01-B*40:01-C*03:04-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 26  A*11:01-B*35:03-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 27  A*24:02-B*15:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 28  A*24:02-B*18:01-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 29  A*24:02-B*18:01-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 30  A*24:02-B*51:01-C*15:02-DRB1*15:06-DQA1*01:01-DQB1*05:01-DPB1*15:01  Sri Lanka Colombo 0.0700714
 31  A*26:01-B*07:05-C*07:02-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 32  A*26:01-B*15:01-C*07:02-DRB1*15:06-DQA1*01:02-DQB1*02:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 33  A*68:01-B*51:01-C*15:15-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 34  DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.0600833
 35  A*02:11-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.05912,492
 36  A*02:02-B*27:06-C*03:02-DRB1*15:06-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 37  A*24:02-B*52:01-C*03:03-DRB1*15:06-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 38  A*24:07-B*15:12-C*07:01-DRB1*15:06-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 39  A*02:01-B*18:01-C*07:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 40  A*02:06-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 41  A*03:02-B*35:03-C*04:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 42  A*11:01-B*18:01-C*07:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 43  A*33:01-B*44:03-C*07:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 44  A*68:01-B*07:02-C*07:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 45  A*11:01-B*35:03-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.04012,492
 46  A*33:03-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.04012,492
 47  A*68:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.03402,492
 48  A*24:02-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.02772,492
 49  A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.02112,492
 50  A*02:11-B*40:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.02012,492
 51  A*11:01-B*56:01-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.02012,492
 52  A*11:24-B*55:01-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.02012,492
 53  A*24:02-B*13:01-C*04:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.02012,492
 54  A*32:01-B*51:01-C*04:01-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.02012,492
 55  A*33:03-B*51:01-C*12:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.02012,492
 56  A*68:01-B*07:05-C*15:05-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.02012,492
 57  A*11:01-B*07:02-C*07:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.01101,772
 58  A*11:01-B*15:18-C*16:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.01101,772
 59  A*11:01-B*37:01-C*01:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.01101,772
 60  A*11:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.01101,772
 61  A*26:01-B*07:02-C*07:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.01101,772
 62  A*26:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.01101,772
 63  A*68:01-B*15:18-C*16:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.01101,772
 64  A*68:01-B*37:01-C*01:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.01101,772
 65  A*26:01-B*52:01-C*12:02-DRB1*15:06-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 66  A*29:02-B*15:17-C*07:01-DRB1*15:06-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 67  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*15:06:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 68  A*02:11-B*18:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00502,492
 69  A*01:01-B*39:01-C*12:04-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00292,492
 70  A*24:07-B*15:01-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00292,492
 71  A*68:01-B*40:06-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00252,492
 72  A*24:02-B*56:01-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00252,492
 73  A*24:02-B*56:04-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00252,492
 74  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:06:01-DQB1*05:02:01  Poland BMR 0.002123,595
 75  A*74:03-B*38:01-C*07:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00142,492
 76  A*74:03-B*38:02-C*07:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00142,492
 77  A*02:01-B*15:01-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00112,492
 78  A*02:11-B*15:01-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00112,492
 79  A*68:01-B*57:01-C*03:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00072402,492
 80  A*68:01-B*57:01-C*03:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00072402,492
 81  A*68:01-B*57:01-C*03:04-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00072402,492
 82  A*24:02-B*78:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00041202,492
 83  A*24:03-B*78:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00041202,492
 84  A*24:07-B*78:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00041202,492
 85  A*24:10-B*78:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00041202,492
 86  A*24:17-B*78:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00041202,492
 87  A*24:32-B*78:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00041202,492
 88  A*24:55-B*78:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00041202,492
 89  A*02:01-B*56:01-C*01:02-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00001112,492

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).




   

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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