Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 118) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 5.40472,403
 2  A*33:03-B*44:03-DRB1*07:01  Malaysia Kelantan 5.357128
 3  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 3.7162296
 4  A*33:03-B*44:03-DRB1*07:01  Malaysia Champa 3.448329
 5  A*33:03-B*44:03-C*07:01/07:06-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 3.0000485
 6  A*33:03-B*44:03-DRB1*07:01  South Korea pop 3 2.9000485
 7  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 2.7980185,391
 8  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 2.79385,829
 9  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 2.6000170
 10  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.596977,584
 11  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 2.58154,204
 12  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 2.512727,978
 13  A*33:03-B*44:03-DRB1*07:01  South Korea pop 10 2.46004,128
 14  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 2.381211,446
 15  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 2.30612,492
 16  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 2.18365,849
 17  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 18  A*33:03:01-B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 19  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 1.880143,540
 20  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 1.7240174
 21  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 1.6150356
 22  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 1.50401,772
 23  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 1.4006714
 24  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 1.2605714
 25  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.1208186
 26  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.8403951
 27  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.743850,614
 28  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.7020356
 29  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.6303714
 30  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.610011,499
 31  A*33:03-B*44:03-DRB1*07:01  Hong Kong Chinese cord blood registry 0.60823,892
 32  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.5602714
 33  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.513999,672
 34  A*33:03-B*44:03-C*07:01-DRB1*07:01  Hong Kong Chinese BMDR 0.47707,595
 35  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.336014,339
 36  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.3271570
 37  A*33:03-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - China minority 0.31501,282
 38  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.31485,266
 39  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 40  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 41  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.25951,734
 42  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.2101714
 43  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India East UCBB 0.20802,403
 44  A*33:03-B*44:03-C*06:213-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.1689296
 45  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India Northeast UCBB 0.1689296
 46  A*33:03-B*44:03-C*07:01-DRB1*07:16-DQB1*02:02  Malaysia Peninsular Malay 0.1577951
 47  A*33:03-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1577951
 48  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.152933,328
 49  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 50  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  Sri Lanka Colombo 0.1401714
 51  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 52  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 53  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:03-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 54  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.1399570
 55  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.13274,889
 56  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.13022,492
 57  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.114228,927
 58  A*33:03-B*44:03-C*07:02-DRB1*07:01  Hong Kong Chinese BMDR 0.11137,595
 59  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India Central UCBB 0.10344,204
 60  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India South UCBB 0.096811,446
 61  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07745,266
 62  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India West UCBB 0.07355,829
 63  A*33:03-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - France minority 0.07101,406
 64  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 65  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 66  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 67  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06935,266
 68  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India North UCBB 0.06065,849
 69  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*04:02  United Arab Emirates Pop 1 0.0579570
 70  A*33:03-B*44:03-C*07:01-DRB1*07:01  Japan pop 16 0.057018,604
 71  A*33:03-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - Greece minority 0.05301,894
 72  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 73  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:02-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 74  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 75  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.04601,772
 76  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04315,266
 77  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04204,856
 78  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:01  India East UCBB 0.04162,403
 79  A*33:03-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - Romania minority 0.04101,234
 80  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.037370,890
 81  A*33:03-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 82  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 83  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02815,266
 84  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02565,266
 85  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:03  India Tamil Nadu 0.02212,492
 86  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 87  A*33:03-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 88  A*33:03-B*44:03-C*07:06-DRB1*07:03-DQB1*02:02  India South UCBB 0.020411,446
 89  A*33:03-B*44:03-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 90  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110  India West UCBB 0.01785,829
 91  A*33:03-B*44:03-C*07:06-DRB1*07:03-DQB1*02:02  India West UCBB 0.01725,829
 92  A*33:03-B*44:03-C*07:343-DRB1*07:01-DQB1*02:02  India West UCBB 0.01725,829
 93  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Japanese 0.015324,582
 94  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.014728,557
 95  A*33:03-B*44:02-C*07:04-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.01201,999
 96  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 97  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110  India Central UCBB 0.01194,204
 98  A*33:03-B*44:03-C*17:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.01102,411
 99  A*33:03-B*44:03-C*14:03-DRB1*07:01  Japan pop 16 0.010018,604
 100  A*33:03:01-B*44:03:02-C*03:02:02-DRB1*07:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266

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 118) 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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