Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 157) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*44:03-C*07:01/07:06-DRB1*07:01  South Korea pop 3 3.1000485
 2  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
 3  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
 4  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 2.6000170
 5  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.596977,584
 6  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
 7  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 2.30612,492
 8  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 9  B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 10  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 1.880143,540
 11  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
 12  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
 13  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 1.50401,772
 14  A*23:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Black 1.470668
 15  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
 16  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
 17  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 1.1070271
 18  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 1.1041951
 19  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.8403951
 20  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.743850,614
 21  A*30:04-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.676614,339
 22  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
 23  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
 24  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.6072951
 25  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.60292,492
 26  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 27  A*02:11:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 28  A*11:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 29  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
 30  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.5535271
 31  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.5155194
 32  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.513999,672
 33  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.4910356
 34  A*33:03-B*44:03-C*07:01-DRB1*07:01  Hong Kong Chinese BMDR 0.47707,595
 35  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.3501714
 36  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.336014,339
 37  A*02:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*13:01  Russia Belgorod region 0.3268153
 38  A*33:03-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - China minority 0.31501,282
 39  A*29:01-B*44:03-C*07:01-DRB1*07:01-DQA1*03:03-DQB1*02:02-DPB1*02:01  South Africa Worcester 0.3000159
 40  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQA1*01:02-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 41  A*03:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 42  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 43  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
 44  A*03:01:01-B*44:03:02-C*07:01:18-DRB1*07:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 45  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.2629951
 46  A*34:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 47  A*02:01-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - Greece minority 0.24401,894
 48  A*32:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 49  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
 50  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.18804,856
 51  A*30:04-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.18701,999
 52  A*02:57-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 53  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.17801,772
 54  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1577951
 55  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
 56  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 57  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.1401714
 58  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
 59  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 60  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
 61  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
 62  A*68:01:02-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 63  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.13642,492
 64  A*02:11-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.13301,772
 65  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
 66  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.13022,492
 67  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.12672,492
 68  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.1205951
 69  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
 70  A*24:07-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1061951
 71  A*02:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1052951
 72  A*02:06-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1052951
 73  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 74  A*02:11-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.10492,492
 75  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 76  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.07692,492
 77  A*33:03-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - France minority 0.07101,406
 78  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 79  A*02:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 80  A*02:11-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 81  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 82  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 83  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 84  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*14:01  Sri Lanka Colombo 0.0700714
 85  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
 86  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
 87  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
 88  A*68:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.06622,492
 89  A*03:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.06322,492
 90  A*33:03-B*44:03-C*07:01-DRB1*07:01  Japan pop 16 0.057018,604
 91  A*33:03-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - Greece minority 0.05301,894
 92  A*02:02-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 93  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 94  A*68:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 95  A*24:07-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.05012,492
 96  A*02:01-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 97  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.04901,772
 98  A*24:02-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - United Kingdom minority 0.04801,043
 99  A*01:01-B*44:03-C*07:01-DRB1*07:01  Germany DKMS - Greece minority 0.04701,894
 100  A*02:06-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999

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 157) 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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