Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 57 (from 57) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:03-B*52:01:01-C*07:02:01-DRB1*11:06-DQB1*03:01:01-DPB1*02:01:02  China Yunnan Province Nu 2.6000107
 2  A*11:03-B*51:02:01  China Jingpo Minority 1.4850105
 3  A*11:03-C*15:02:01  China Jingpo Minority 1.4560105
 4  A*11:03-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 1.0310105
 5  A*11:03-B*51:01:01-C*15:02:01  South African Indian population 1.000050
 6  A*11:03-B*52:01:01-C*07:02:01  South African Indian population 1.000050
 7  A*11:03-B*38:02:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 8  A*11:03-B*38:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 9  A*11:03-B*48:01:01-C*08:01:01-DRB1*15:04  China Jingpo Minority 0.5210105
 10  A*11:03-B*48:01:01-DRB1*15:04  China Jingpo Minority 0.5210105
 11  A*11:03-B*52:01:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 12  A*11:03-B*52:01:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 13  A*11:03-C*08:01:01-DRB1*15:04  China Jingpo Minority 0.5150105
 14  A*11:03-B*38:02:01-C*07:02:01  China Jingpo Minority 0.4950105
 15  A*11:03-B*48:01:01-C*08:01:01  China Jingpo Minority 0.4950105
 16  A*11:03-B*52:01:01-C*07:02:01  China Jingpo Minority 0.4950105
 17  A*11:03-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 18  A*11:03-B*52:01-C*07:02-DRB1*11:06-DQB1*03:01  India UCBB_Central Indian HLA 0.10704,204
 19  A*11:03-B*15:13-C*04:03-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 20  A*11:03-B*15:13-C*08:01-DRB1*12:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 21  A*11:03-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 22  A*11:03-B*18:01-C*07:01-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.03052,492
 23  A*11:03-B*40:06-C*01:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.03012,492
 24  A*11:03-B*52:01:01-C*07:02:01-DRB1*04:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 25  A*11:03-B*52:01:01-C*07:02:01-DRB1*14:04:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 26  A*11:03-B*27:07  USA Asian pop 2 0.02801,772
 27  A*11:03-B*18:01-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02782,492
 28  A*11:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02422,492
 29  A*11:03-B*52:01-C*07:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.02384,204
 30  A*11:03-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.02384,204
 31  A*11:03-B*07:05-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 32  A*11:03-B*52:01-C*07:02-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.02012,492
 33  A*11:03-B*07:02-C*14:02-DRB1*14:54-DQB1*02:02  India UCBB_Central Indian HLA 0.01194,204
 34  A*11:03-B*15:01-C*12:159-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 35  A*11:03-B*27:05-C*01:02-DRB1*04:07-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 36  A*11:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 37  A*11:03-B*40:01-C*03:04-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 38  A*11:03-B*40:06-C*12:02-DRB1*01:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 39  A*11:03-B*40:06-C*12:02-DRB1*14:04-DQB1*05:02  India UCBB_Central Indian HLA 0.01194,204
 40  A*11:03-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 41  A*11:03-B*48:01-C*08:03-DRB1*07:01-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 42  A*11:03-B*51:06-C*14:02-DRB1*16:02-DQB1*05:02  India UCBB_Central Indian HLA 0.01194,204
 43  A*11:03-B*52:01-C*07:02-DRB1*11:06-DQB1*05:02  India UCBB_Central Indian HLA 0.01194,204
 44  A*11:03-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  India UCBB_Central Indian HLA 0.01194,204
 45  A*11:03-B*52:01-C*07:04-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 46  A*11:03-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.01194,204
 47  A*11:03-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*296:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00745,266
 48  A*11:03-B*08:01-DRB1*03:01  Israel Arab pop 2 0.004112,301
 49  A*11:03-B*58:34-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.00242,492
 50  A*11:03-B*39:06-DRB1*08:01  Israel Morocco Jews 0.001436,718
 51  A*11:03-B*27:05-DRB1*01:01  Israel USSR Jews 0.001145,681
 52  A*11:03-B*58:34-C*12:03-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.00053202,492
 53  A*11:03-B*58:34-C*12:03-DRB1*13:02-DQB1*06:05  India Tamil Nadu 0.00053202,492
 54  A*11:03-B*58:34-C*12:03-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.00053202,492
 55  A*11:03-B*15:02-C*08:01-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.00000132,492
 56  A*11:03-B*15:02-C*08:01-DRB1*14:01-DQB1*05:03  India Tamil Nadu 0.00000022,492
 57  A*11:03-B*15:02-C*08:01-DRB1*14:15-DQB1*05:03  India Tamil Nadu 0.00000022,492

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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