Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 101) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 2  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 3  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 4  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQA1*05:05-DQB1*05:01  Brazil Puyanawa 0.3333150
 5  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 6  A*03:01-B*07:02-C*07:02-DRB1*10:01  Italy pop 5 0.3000975
 7  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2760356
 8  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 10  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.24692,492
 11  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.23642,403
 12  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.2294218
 13  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.20895,849
 14  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 15  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.18394,204
 16  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 17  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.16512,492
 18  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01-DPB1*17:01  Tanzania Maasai 0.1597336
 19  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.15635,829
 20  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1450356
 21  A*02:01:01-B*07:02:21-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 22  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.134511,446
 23  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.12722,403
 24  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.11824,204
 25  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.10615,849
 26  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.10251,463
 27  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.09715,829
 28  A*02:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Spain minority 0.09001,107
 29  A*02:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Austria minority 0.08601,698
 30  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.082211,446
 31  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.07674,204
 32  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.07615,829
 33  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.07562,492
 34  A*02:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.07301,374
 35  A*68:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - France minority 0.07101,406
 36  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 37  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 38  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06742,403
 39  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.06504,204
 40  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.05675,849
 41  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.05445,849
 42  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.053611,446
 43  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 44  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 45  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 46  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 47  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 48  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04162,403
 49  A*68:24-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04162,403
 50  A*26:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Romania minority 0.04101,234
 51  A*02:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - China minority 0.04001,282
 52  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.03535,849
 53  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.034811,446
 54  A*02:05-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 55  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 56  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 57  A*11:01-B*07:02:01-C*07:02:01:03-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 58  A*26:01:01-B*07:02:01-C*07:02:01:03-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 59  A*03:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Austria minority 0.03101,698
 60  A*03:01-B*07:02-C*07:02-DRB1*10:01  Germany DKMS - Greece minority 0.03001,894
 61  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.027311,446
 62  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02715,829
 63  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02575,829
 64  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02264,204
 65  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.021311,446
 66  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02134,204
 67  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 68  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:03  India Tamil Nadu 0.02012,492
 69  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 70  A*02:09-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.016911,446
 71  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.014411,446
 72  A*02:131-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.013111,446
 73  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01275,266
 74  A*29:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 75  A*31:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 76  A*29:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 77  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01145,829
 78  A*02:01-B*07:02-C*07:02-DRB1*10:01  Poland DKMS 0.011120,653
 79  A*26:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.011111,446
 80  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.010823,595
 81  A*31:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.010511,446
 82  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 83  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 84  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00965,849
 85  A*03:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00925,849
 86  A*02:09-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 87  A*31:12-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00865,849
 88  A*24:02-B*07:02-C*07:02-DRB1*10:01  Hong Kong Chinese BMDR 0.00667,595
 89  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.006223,595
 90  A*02:11-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00615,849
 91  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*10:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00615,266
 92  A*02:06-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.005411,446
 93  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.005211,446
 94  A*24:02-B*07:02-C*07:02-DRB1*10:01  Japan pop 16 0.005018,604
 95  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004423,595
 96  A*26:08-B*07:02-C*07:02-DRB1*10:01  Poland DKMS 0.002420,653
 97  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 98  A*24:02-B*07:02-C*07:02-DRB1*10:01  Poland DKMS 0.002220,653
 99  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 100  A*03:26-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  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).


Displaying 1 to 100 (from 101) 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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