Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 133) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*38-C*07-DRB1*15  Myanmar Rakhine 3.125048
 2  A*02:03-B*38:02-DRB1*15:01  China Guangxi Region Maonan 2.8000108
 3  A*02-B*38-C*07-DRB1*15  Myanmar Mon 1.562064
 4  A*02:03-B*38:02-DRB1*15:02-DPB1*13:01  China Canton Han 1.3000264
 5  A*02-B*38-DRB1*15-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 6  A*02-B*38-C*12-DRB1*15  Macedonia MBMDR - Macedonian Muslims 0.657976
 7  A*02:06-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 0.605150,614
 8  A*02:50-B*38:01-DRB1*15:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 9  A*02:06:01-B*38:02:01-C*04:03:01-DRB1*15:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 10  A*02-B*38-DRB1*15-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.4425226
 11  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 12  A*02-B*38-DRB1*15  China Shaanxi Province Han 0.400010,000
 13  A*02:01-B*38:01-C*12:03-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.39001,028
 14  A*02-B*38-DRB1*15  Russia Moscow Pop 2 0.39002,000
 15  A*02:03-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.36757,595
 16  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:07-DPB1*19:01  Russia Belgorod region 0.3268153
 17  A*02:03-B*38:02-DRB1*15:02  Hong Kong Chinese cord blood registry 0.31293,892
 18  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.31202,403
 19  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.30655,266
 20  A*02:03-B*38:02-DRB1*15:01  Hong Kong Chinese cord blood registry 0.28223,892
 21  A*02:02-B*38:02-C*07:02-DRB1*15:04-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 22  A*02:03-B*38:02-C*03:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 23  A*02:03-B*38:02-C*07:02-DRB1*15:19  Germany DKMS - China minority 0.23401,282
 24  A*02-B*38-DRB1*15:02  USA NMDP Asian and Pacific Islander 0.2000359,423
 25  A*02:03-B*38:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.19717,595
 26  A*02-B*38-DRB1*15-DQB1*06  Mexico Durango Rural 0.1529326
 27  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11095,266
 28  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.10801,772
 29  A*02:01-B*38:01-C*12:03-DRB1*15:01  Germany DKMS - France minority 0.10701,406
 30  A*02:01-B*38:01-C*12:03-DRB1*15:01  Poland DKMS 0.106720,653
 31  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1052951
 32  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10415,266
 33  A*02:01-B*38:01-C*12:03-DRB1*15:01  Germany DKMS - Croatia minority 0.09002,057
 34  A*02:06-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 35  A*02:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.08601,159
 36  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India West UCBB 0.08585,829
 37  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Central UCBB 0.08334,204
 38  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.073323,595
 39  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 40  A*02:16-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 41  A*02-B*38-DRB1*15  Italy Lombardy 0.0700674
 42  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India South UCBB 0.069811,446
 43  A*02:20-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 44  A*02:01-B*38:02-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.06501,282
 45  A*02:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.06404,856
 46  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.06272,492
 47  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.05771,734
 48  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:02:01  China Zhejiang Han 0.05771,734
 49  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 50  A*02:01-B*38:02-DRB1*15:01  Hong Kong Chinese cord blood registry 0.05653,892
 51  A*02:02-B*38:02-C*07:02-DRB1*15:02-DQB1*06:10  Malaysia Peninsular Malay 0.0526951
 52  A*02:03-B*38:02-C*08:01-DRB1*15:02-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 53  A*02-B*38-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 54  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Central UCBB 0.04764,204
 55  A*02:01-B*38:01-DRB1*15:01  Israel Argentina Jews 0.04704,307
 56  A*02:01-B*38:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.04617,595
 57  A*02:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0452951
 58  A*02:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 59  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04185,266
 60  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03895,266
 61  A*02:01-B*38:01-DRB1*15:01  Israel USSR Jews 0.034545,681
 62  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.03435,829
 63  A*02:06:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03425,266
 64  A*02:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.033611,446
 66  A*02:05:01-B*38:01:01-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 67  A*02-B*38-C*07-DRB1*15  Myanmar Bamar 0.032646
 68  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03085,266
 69  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 70  A*02:01:01-B*38:01:01-C*03:02:02-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 71  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 72  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 73  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02785,266
 74  A*02:01-B*38:01-C*12:03-DRB1*15:01  Germany DKMS - Greece minority 0.02601,894
 75  A*02:03-B*38:02-C*07:02-DRB1*15:02  Japan pop 16 0.026018,604
 76  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.02575,829
 77  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India North UCBB 0.02565,849
 78  A*02:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02515,266
 79  A*02:01-B*38:01-DRB1*15:02  Israel Ashkenazi Jews pop 3 0.02474,625
 80  A*02:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02255,266
 81  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.02242,492
 82  A*02:06-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.021811,446
 83  A*02-B*38-C*07-DRB1*15-DQB1*05-DPB1*04  Myanmar Bamar 0.021746
 84  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02125,266
 85  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  India East UCBB 0.02082,403
 86  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India East UCBB 0.02082,403
 87  A*02:03-B*38:01-C*07:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.02012,492
 88  A*02:03-B*38:02-C*07:02-DRB1*15:07-DQB1*06:01  India Tamil Nadu 0.02012,492
 89  A*02:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01843,456,066
 90  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.017723,595
 91  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.01762,492
 92  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  India West UCBB 0.01725,829
 93  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.01715,849
 94  A*02:01-B*38:02-DRB1*15:02  Hong Kong Chinese cord blood registry 0.01693,892
 95  A*02:01-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.01457,595
 96  A*02:01-B*38:01-DRB1*15:02  Israel Poland Jews 0.014213,871
 97  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQB1*05:03  India Central UCBB 0.01194,204
 98  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  India Central UCBB 0.01194,204
 99  A*02:01-B*38:01-DRB1*15:02  Israel Tunisia Jews 0.01109,070
 100  A*02-B*38-C*07-DRB1*15-DQB1*06-DPB1*09  Myanmar Bamar 0.010946

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 133) 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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