Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 83 (from 83) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.8620174
 2  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 3  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.49534,204
 4  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.42472,492
 5  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 6  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.3501714
 7  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.33905,829
 8  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.3378296
 9  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.31422,403
 10  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.20755,849
 11  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.205711,446
 12  A*01:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 13  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 14  A*24:15-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 15  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 16  A*33:03-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 17  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 18  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 19  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 20  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.13532,492
 21  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.12022,403
 22  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.11982,403
 23  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.10062,492
 24  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.08901,772
 25  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.08424,204
 26  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.07195,849
 27  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.07084,204
 28  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Sri Lanka Colombo 0.0700714
 29  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.06955,849
 30  A*01:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.06142,403
 31  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.06112,492
 32  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.058211,446
 33  A*01:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*14:01  Russia Karelia 0.05651,075
 34  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.055511,446
 35  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.05344,204
 36  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 37  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.050811,446
 38  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.05015,829
 39  A*02:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04804,204
 40  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.04275,829
 41  A*31:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.04132,403
 42  A*01:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.039111,446
 43  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.03804,856
 44  A*02:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.03795,849
 45  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.03725,829
 46  A*32:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 47  A*11:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 48  A*26:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.03215,849
 49  A*02:11-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.031911,446
 50  A*26:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02924,204
 51  A*33:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.02655,829
 52  A*33:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.02625,849
 53  A*31:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.02505,829
 54  A*33:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.02272,403
 55  A*26:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.02212,403
 56  A*33:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.021911,446
 57  A*02:20-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 58  A*02:595-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 59  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.02085,849
 60  A*32:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 61  A*32:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 62  A*32:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.01855,849
 63  A*02:11-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01804,204
 64  A*02:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.01785,829
 65  A*02:06-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.01735,829
 66  A*02:11-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.01725,829
 67  A*31:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.01715,849
 68  A*03:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.01465,849
 69  A*31:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.012011,446
 70  A*29:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 71  A*02:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 72  A*01:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00985,829
 73  A*24:07-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.009511,446
 74  A*02:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.009211,446
 75  A*24:33-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 76  A*31:16-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 77  A*24:17-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 78  A*02:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.007411,446
 79  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004523,595
 80  A*24:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 81  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002523,595
 82  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 83  A*01:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional