Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1,501 to 1,600 (from 15,210) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 153  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,501  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Hispanic South or Central American 0.3827146,714
 1,502  A*24:02-B*18:01-C*12:03-DRB1*16:01  Germany DKMS - Greece minority 0.38201,894
 1,503  A*24:02-B*35:08-DRB1*16:01  Israel Morocco Jews 0.382036,718
 1,504  A*24:02-B*14:02  USA Hispanic pop 2 0.38101,999
 1,505  A*24:02-B*35:02-DRB1*11:04  Israel Bukhara Jews 0.38102,317
 1,506  A*24:02-B*40:01-DRB1*16:02  Hong Kong Chinese cord blood registry 0.38063,892
 1,507  A*24:02-B*35:01-C*03:04-DRB1*14:01-DQB1*03:01-DPB1*04:02  Panama 0.3800462
 1,508  A*24:02-B*35:01-C*04:01-DRB1*16:02-DQB1*03:01-DPB1*04:02  Panama 0.3800462
 1,509  A*24:02-B*35:43-C*01:02-DRB1*04:03-DQB1*05:01-DPB1*14:01  Panama 0.3800462
 1,510  A*24:02-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02-DPB1*03:01  Panama 0.3800462
 1,511  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*04:02  Panama 0.3800462
 1,512  A*24:02-B*40:02-C*03:05-DRB1*04:03-DQB1*03:02-DPB1*04:01  Panama 0.3800462
 1,513  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*04:01  Panama 0.3800462
 1,514  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.3800462
 1,515  A*24:02-B*40:02-C*03:05-DRB1*16:02-DQB1*03:01-DPB1*04:02  Panama 0.3800462
 1,516  A*24:02-B*51:01-C*04:01-DRB1*16:02-DQB1*03:01-DPB1*03:01  Panama 0.3800462
 1,517  A*24:02-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.3800462
 1,518  A*24:02:01-B*39:06:02-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.3790519
 1,519  A*24:02-B*54:01-C*01:02-DRB1*04:05  Hong Kong Chinese BMDR 0.37737,595
 1,520  A*24:02:01-B*18:01:01-C*07:01:01  England Blood Donors of Mixed Ethnicity 0.3766519
 1,521  A*24:02-B*07:02  USA Hispanic pop 2 0.37501,999
 1,522  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.3749185,391
 1,523  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.37401,999
 1,524  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India North UCBB 0.37365,849
 1,525  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP South Asian Indian 0.3732185,391
 1,526  A*24:02-B*07:05-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.37242,492
 1,527  A*24:02-B*35:05-C*04:01-DRB1*12:02-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.371211,499
 1,528  A*24:02-B*40:02-C*03:04-DRB1*09:01  Japan pop 16 0.370018,604
 1,529  A*24:02-B*56:01-DRB1*10:01  Israel Ethiopia Jews 0.37005,928
 1,530  A*24:02-B*07:05-C*07:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.3690271
 1,531  A*24:02-B*35:01-C*04:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 1,532  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 1,533  A*24:02-B*40:06-C*14:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.3690271
 1,534  A*24:02-B*40:06-C*15:02-DRB1*12:02-DQB1*05:03  Malaysia Peninsular Indian 0.3690271
 1,535  A*24:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.3690271
 1,536  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 1,537  A*24:02-B*58:01-C*03:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 1,538  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Southeast Asian 0.368627,978
 1,539  A*24:02-B*27:06-C*03:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.3680951
 1,540  A*24:02-B*52:01-C*07:01-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Malay 0.3680951
 1,541  A*24:02-B*40:01-C*04:01-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.365511,499
 1,542  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Vietnamese 0.365143,540
 1,543  A*24:02-B*14:02-DRB1*01:02  Israel Morocco Jews 0.365036,718
 1,544  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.36301,772
 1,545  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.36131,075
 1,546  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.36095,266
 1,547  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.36001,463
 1,548  A*24:02-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:02  Japan pop 17 0.36003,078
 1,549  A*24:02-B*49:01-C*07:01  Italy pop 5 0.3600975
 1,550  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.358111,446
 1,551  A*24:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 0.35401,282
 1,552  A*24:02-B*35:03-C*12:03-DRB1*14:01  Germany DKMS - Greece minority 0.35401,894
 1,553  A*24:02-B*35:43  USA Hispanic pop 2 0.35401,999
 1,554  A*24:02-B*40:01-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.35267,595
 1,555  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.352611,446
 1,556  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01-DPB1*04:01:01  South African Black 0.3520142
 1,557  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*04:01:01  South African Black 0.3520142
 1,558  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 1,559  A*24:02:01-B*15:10:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*55:01:01  South African Black 0.3520142
 1,560  A*24:02:01-B*44:05:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 1,561  A*24:02:01-B*58:01:01-C*02:10:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*02:01:02  South African Black 0.3520142
 1,562  A*24:02-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 0.35102,057
 1,563  A*24:02-B*59:01  USA Asian pop 2 0.35101,772
 1,564  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.3501714
 1,565  A*24:02-B*07:05-C*07:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.3501714
 1,566  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
 1,567  A*24:02-B*55:01-C*01:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.3501714
 1,568  A*24:02-B*07:02-DRB1*15:01  Croatia pop 4 0.35004,000
 1,569  A*24:02-B*50:01-C*06:02  Italy pop 5 0.3500975
 1,570  A*24:02-B*51:01-C*14:02  Italy pop 5 0.3500975
 1,571  A*24:02-B*07:02-C*04:01-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 1,572  A*24:02-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,573  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  Mexico Mexico City Mestizo population 0.3497143
 1,574  A*24:02-B*08:01-C*03:04-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 1,575  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 1,576  A*24:02-B*18:01-C*07:04-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 1,577  A*24:02-B*35:01-C*04:01-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 1,578  A*24:02-B*35:01-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 1,579  A*24:02-B*35:01-C*04:01-DRB1*15:03-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 1,580  A*24:02-B*35:02-C*04:01-DRB1*04:02-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,581  A*24:02-B*35:05-C*04:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,582  A*24:02-B*35:08-C*04:01-DRB1*08:01-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 1,583  A*24:02-B*35:14-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,584  A*24:02-B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 1,585  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 1,586  A*24:02-B*39:05-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,587  A*24:02-B*39:06-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,588  A*24:02-B*39:06-C*07:02-DRB1*04:08-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 1,589  A*24:02-B*39:06-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 1,590  A*24:02-B*40:02-C*02:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 1,591  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,592  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,593  A*24:02-B*40:02-C*03:04-DRB1*14:02-DQB1*03:04  Mexico Mexico City Mestizo population 0.3497143
 1,594  A*24:02-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,595  A*24:02-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 1,596  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.34955,829
 1,597  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.34911,734
 1,598  A*24:02-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Romania minority 0.34801,234
 1,599  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.34801,159
 1,600  A*24:02-B*51:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.34733,892

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 1,501 to 1,600 (from 15,210) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 153  


   

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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