Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 77 (from 77) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11-B*38-DRB1*15:02  Malaysia Sabah Kadazan 8.800057
 2  A*11-B*38-DRB1*15  Philippines National Capital Region 6.200051
 3  A*11-B*38-C*07-DRB1*15  Myanmar Kayah 4.545055
 4  A*11:01-B*38:02-C*07:02-DRB1*15:02  China Yunnan Bulang 2.4000116
 5  A*11:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 2.353050,614
 6  A*11-B*38-C*07-DRB1*15  Myanmar Kayin 2.273044
 7  A*11-B*38-C*07-DRB1*15-DQB1*05-DPB1*02  Myanmar Kayin 2.273044
 8  A*11-B*38-C*07-DRB1*15  Myanmar Shan 1.852054
 9  A*11:01-B*38:02-DRB1*15:03  Malaysia Mandailing 1.851927
 10  A*11:01-B*38:02-DRB1*15:02  Malaysia Champa 1.724129
 11  A*11:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Northeast UCBB 1.0135296
 12  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 13  A*11-B*38-C*04-DRB1*15  Myanmar Kayah 0.909055
 14  A*11:01:01-B*38:02:01-DRB1*15:04  China Jingpo Minority 0.7430105
 15  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.43801,772
 16  A*11:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 17  A*11-B*38-DRB1*15-DQB1*06  Iraq Arabs 0.3400149
 18  A*11-B*38-DRB1*15:02  USA NMDP Asian and Pacific Islander 0.3000359,423
 19  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.197411,499
 20  A*11:01-B*38:02-DRB1*15:02  Hong Kong Chinese cord blood registry 0.17523,892
 21  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1689296
 22  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.1577951
 23  A*11:01-B*38:02-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.13001,282
 24  A*11:01-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.12487,595
 25  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.12001,772
 26  A*11-B*38-DRB1*15  Albania pop 2 0.1200432
 27  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1125951
 28  A*11-B*38-DRB1*15  China Shaanxi Province Han 0.100010,000
 29  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09065,266
 30  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.06022,492
 31  A*11-B*38-DRB1*15  Brazil Para Cord Blood Unit 0.0595841
 32  A*11:01-B*38:02-C*07:02-DRB1*15:02  Germany DKMS - China minority 0.05501,282
 33  A*11:01-B*38:02-DRB1*15:01  Hong Kong Chinese cord blood registry 0.05343,892
 34  A*11:01-B*38:02-C*07:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 35  A*11:01-B*38:02-C*07:02-DRB1*15:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 36  A*11:01-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.04704,204
 37  A*11:01:01-B*38:02:02-C*07:02:01-DRB1*15:02:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04625,266
 38  A*11:01-B*38:02-C*07:27-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 39  A*11:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 40  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.04202,403
 41  A*11:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India East UCBB 0.04162,403
 42  A*11:01-B*38:01-C*12:03-DRB1*15:01  Germany DKMS - Netherlands minority 0.03701,374
 43  A*11:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03704,856
 44  A*11:01-B*38:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.03707,595
 45  A*11:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03361,510
 46  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 47  A*11-B*38-DRB1*15  Russia Moscow Pop 2 0.03002,000
 48  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 49  A*11:01:01-B*38:02:01-C*14:02:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 50  A*11:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.021711,446
 51  A*11:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.02082,403
 52  A*11:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 53  A*11:01-B*38:01-C*07:02-DRB1*15:04-DQB1*05:02  India Tamil Nadu 0.02012,492
 54  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01795,266
 55  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01765,266
 56  A*11:01-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.01715,849
 57  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01445,266
 58  A*11:01-B*38:01-DRB1*15:01  Israel Morocco Jews 0.013436,718
 59  A*11:01-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.01335,829
 60  A*11:01-B*38:02-C*15:02-DRB1*15:02  Hong Kong Chinese BMDR 0.01337,595
 61  A*11-B*38-DRB1*15  Brazil South East Cord Blood 0.013011,409
 62  A*11:01:01-B*38:02:01-C*08:01:01-DRB1*15:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 63  A*11:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.00915,829
 64  A*11:01-B*38:01-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 65  A*11:01-B*38:02-C*03:04-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 66  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03  India West UCBB 0.00865,829
 67  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India North UCBB 0.00855,849
 68  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00745,266
 69  A*11:02-B*38:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00687,595
 70  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005723,595
 71  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 72  A*11:01-B*38:02-C*07:02-DRB1*15:02  Japan pop 16 0.005018,604
 73  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India South UCBB 0.004911,446
 74  A*11:01-B*38:01-DRB1*15:01  Israel USSR Jews 0.004945,681
 75  A*11:01-B*38:01-DRB1*15:01  Israel Arab pop 2 0.004312,301
 76  A*11:01-B*38:01-C*07:02-DRB1*15:01  Poland DKMS 0.002420,653
 77  A*11:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP European Caucasian 0.00003361,242,890

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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