Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1,001 to 1,100 (from 4,135) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*24-B*51-DRB1*09:01-DQA1*03:01-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 1,002  A*26-B*40-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 1,003  A*29-B*45-DRB1*09:01-DQA1*03:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 1,004  A*30-B*49-DRB1*09:01-DQA1*03:02-DQB1*02:02  Brazil Paraná Caucasian 0.0780641
 1,005  A*34-B*48-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 1,006  A*68-B*48-DRB1*09:01-DQA1*01:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 1,007  A*11:01-B*35:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.07713,892
 1,008  A*02:01-B*40:23-C*03:04-DRB1*09:01-DQB1*03:02  India West UCBB 0.07655,829
 1,009  DRB1*09:01-DQB1*02:02-DPB1*03:01  Gambia pop 3 0.0760939
 1,010  A*31:01-B*51:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.07543,892
 1,011  A*03:02-B*51:01-DRB1*09:01  Israel Iraq Jews 0.074813,270
 1,012  A*68-B*40-DRB1*09:01  Chile Santiago 0.0743920
 1,013  A*02:01-B*15:02-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.07427,595
 1,014  A*24:02-B*38:02-C*07:02-DRB1*09:01  Germany DKMS - China minority 0.07401,282
 1,015  A*02:01-B*27:05-C*02:02-DRB1*09:01  Germany DKMS - Netherlands minority 0.07301,374
 1,016  A*02:01-B*40:02-C*02:02-DRB1*09:01  Germany DKMS - Netherlands minority 0.07301,374
 1,017  A*03:01-B*18:01-C*07:01-DRB1*09:01  Germany DKMS - Netherlands minority 0.07301,374
 1,018  A*24:02-B*51:01-C*03:03-DRB1*09:01  Germany DKMS - Netherlands minority 0.07301,374
 1,019  A*26:01-B*35:01-C*03:03-DRB1*09:01  Japan pop 16 0.073018,604
 1,020  A*02:06-B*40:01-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.07277,595
 1,021  DRB1*09:01-DQB1*02:01-DPB1*124:01  Gambia pop 3 0.0726939
 1,022  DRB1*09:01-DQB1*02:01-DPB1*15:01  Gambia pop 3 0.0726939
 1,023  DRB1*09:01-DQB1*02:11-DPB1*01:01  Gambia pop 3 0.0726939
 1,024  DRB1*09:01-DQB1*02:50-DPB1*463:01  Gambia pop 3 0.0726939
 1,025  DRB1*09:01-DQB1*03:01-DPB1*17:01  Gambia pop 3 0.0726939
 1,026  DRB1*09:01-DQB1*03:19-DPB1*414:01  Gambia pop 3 0.0726939
 1,027  A*02:01-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.07201,772
 1,028  A*24:02-B*51:02-C*15:02-DRB1*09:01  Hong Kong Chinese BMDR 0.07207,595
 1,029  A*33:03-B*58:01-C*03:02-DRB1*09:01  Hong Kong Chinese BMDR 0.07157,595
 1,030  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.0711833
 1,031  A*03:01-B*27:05-C*02:02-DRB1*09:01  Germany DKMS - France minority 0.07101,406
 1,032  A*33:03:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07105,266
 1,033  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07075,266
 1,034  A*26:01:01-B*40:06:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.07051,734
 1,035  A*30:02-B*18:01-DRB1*09:01  Israel Argentina Jews 0.07054,307
 1,036  A*01:01-B*27:05-C*02:02-DRB1*09:01-DQA1*03:01-DQB1*02:25-DPB1*26:01  Sri Lanka Colombo 0.0700714
 1,037  A*01:01-B*55:01-C*01:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,038  A*02:01-B*40:23-C*03:04-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 1,039  A*02:03-B*39:01-C*12:04-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  Sri Lanka Colombo 0.0700714
 1,040  A*02:11-B*13:01-C*15:02-DRB1*09:01-DQA1*06:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,041  A*02:11-B*40:06-C*12:02-DRB1*09:01-DQA1*01:02-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,042  A*03:01-B*27:07-C*15:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,043  A*11:01-B*15:02-C*08:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,044  A*11:01-B*40:06-C*15:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,045  A*11:01-B*51:01-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,046  A*11:01-B*52:01-C*12:02-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 1,047  A*24:02-B*27:07-C*15:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,048  A*24:02-B*35:01-C*04:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,049  A*26:01-B*13:01-C*04:03-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 1,050  A*68:01-B*07:05-C*14:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*05:01  Sri Lanka Colombo 0.0700714
 1,051  A*02:01-B*35:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,052  A*02:01-B*40:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,053  A*02:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,054  A*02:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,055  A*02:01-B*40:06-C*15:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,056  A*02:01-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,057  A*02:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,058  A*02:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,059  A*02:06-B*39:02-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,060  A*02:06-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,061  A*02:06-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,062  A*02:06-B*40:06-C*08:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,063  A*11:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,064  A*11:01-B*55:04-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,065  A*24:02-B*40:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,066  A*24:02-B*40:02-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,067  A*24:02-B*40:02-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.07003,078
 1,068  A*24:02-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,069  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 1,070  A*24:02-B*40:06-C*15:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,071  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,072  A*24:02-B*52:01-C*12:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 1,073  A*24:02-B*56:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,074  A*24:25-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,075  A*26:01-B*15:01-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,076  A*26:01-B*35:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,077  A*26:01-B*35:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,078  A*26:01-B*40:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,079  A*26:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,080  A*26:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.07003,078
 1,081  A*26:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,082  A*26:02-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*19:01  Japan pop 17 0.07003,078
 1,083  A*26:03-B*15:01-C*03:03-DRB1*09:01-DQA1*03:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.07003,078
 1,084  A*31:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,085  A*31:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,086  A*31:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,087  A*31:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,088  A*31:01-B*48:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,089  A*33:03-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,090  A*02:01-B*40:06-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.06987,595
 1,091  A*11:01-B*48:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.06943,892
 1,092  A*11:01-B*38:02-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.06887,595
 1,093  A*02:01-B*35:68-C*04:01-DRB1*09:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.06841,463
 1,094  A*02:01-B*44:02-C*05:01-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,095  A*02:06-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.068018,604
 1,096  A*24:02-B*46:01-C*01:02-DRB1*09:01  Japan pop 16 0.068018,604
 1,097  A*02:01-B*40:06-DRB1*09:01  Hong Kong Chinese cord blood registry 0.06763,892
 1,098  A*02:01-B*51:01-DRB1*09:01  Israel USA Jews 0.06766,058
 1,099  A*02-B*39-DRB1*09:01  Chile Santiago 0.0669920
 1,100  A*24:02-B*13:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.06653,892

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 1,001 to 1,100 (from 4,135) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 42  


   

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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