Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 3,301 to 3,400 (from 4,968) records   Pages: 31 32 33 34 35 36 37 38 39 40 of 50  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 3,301  A*11:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.01102,411
 3,302  A*11:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 3,303  A*11:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 3,304  A*11:02:01-B*40:01:02-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.01101,734
 3,305  A*11:02-B*40:02-C*15:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.01101,772
 3,306  A*11:02-B*40:02-C*15:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.01101,772
 3,307  A*24:02-B*27:07-C*15:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 3,308  A*24:02-B*27:07-C*15:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 3,309  A*24:02-B*40:02-C*15:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 3,310  A*24:02-B*40:02-C*15:02-DRB1*04:05-DQB1*05:03  USA African American pop 4 0.01102,411
 3,311  A*24:02-B*40:06-C*15:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 3,312  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 3,313  A*24:02-B*51:08-C*15:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01104,856
 3,314  A*26:01-B*18:01-C*15:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.01101,772
 3,315  A*26:01-B*18:01-C*15:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.01101,772
 3,316  A*26:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.01102,411
 3,317  A*26:01-B*51:01-C*15:02-DRB1*11:04-DQB1*03:01  USA African American pop 4 0.01102,411
 3,318  A*26:03-B*15:01-C*15:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 3,319  A*26:03-B*15:01-C*15:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 3,320  A*30:01-B*51:01-C*15:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 3,321  A*30:02-B*40:02-C*15:02-DRB1*03:01-DQB1*05:01  USA African American pop 4 0.01102,411
 3,322  A*30:02-B*40:02-C*15:02-DRB1*08:06-DQB1*04:02  USA African American pop 4 0.01102,411
 3,323  A*30:02-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.01102,411
 3,324  A*30:02-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 3,325  A*31:01-B*15:01-C*15:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 3,326  A*31:01-B*15:01-C*15:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 3,327  A*31:01-B*40:06-C*15:02-DRB1*11:04-DQB1*03:01  USA Asian pop 2 0.01101,772
 3,328  A*31:01-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.01105,849
 3,329  A*31:01-B*40:06-C*15:02-DRB1*15:02-DQB1*05:03  USA Asian pop 2 0.01101,772
 3,330  A*31:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01104,856
 3,331  A*31:01-B*51:01-C*15:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01104,856
 3,332  A*32:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.01105,849
 3,333  A*33:03-B*27:07-C*15:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 3,334  A*33:03-B*27:07-C*15:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 3,335  A*33:03-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01104,204
 3,336  A*34:01-B*40:02-C*15:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.01101,772
 3,337  A*34:01-B*40:02-C*15:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.01101,772
 3,338  A*68:01-B*40:06-C*15:02-DRB1*09:01-DQB1*03:03  India South UCBB 0.011011,446
 3,339  A*68:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.011011,446
 3,340  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.011023,595
 3,341  A*29:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.011023,595
 3,342  A*31:01-B*51:01-C*15:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.010811,446
 3,343  A*33:03-B*40:06-C*15:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.010811,446
 3,344  A*33:03-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.010811,446
 3,345  A*33:03-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01075,829
 3,346  A*24:02-B*51:01-C*15:02-DRB1*01:01  Poland DKMS 0.010620,653
 3,347  A*24:07-B*40:06-C*15:02-DRB1*15:01-DQB1*05:03  India Central UCBB 0.01064,204
 3,348  A*68:01-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.01065,849
 3,349  A*02:17:02-B*51:01:01-C*15:02:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.010623,595
 3,350  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.010523,595
 3,351  A*02:06-B*51:01-C*15:02-DRB1*04:07-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01053,456,066
 3,352  A*01:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03-DPB1*02:01  Germany DKMS - German donors 0.01053,456,066
 3,353  A*02:03-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.010411,446
 3,354  A*02:01:01-B*55:02:01-C*15:02:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01035,266
 3,355  A*02:01-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.01035,849
 3,356  A*02:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01035,829
 3,357  A*24:02-B*40:06-C*15:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.01035,829
 3,358  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.010223,595
 3,359  A*02:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.01023,456,066
 3,360  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.01025,849
 3,361  A*24:02:01-B*51:02:01-C*15:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01025,266
 3,362  A*02:03:01-B*40:01:02-C*15:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01015,266
 3,363  A*02:06:01-B*40:01:02-C*15:02:01-DRB1*14:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01015,266
 3,364  A*03:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01015,829
 3,365  A*03:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.01015,849
 3,366  A*11:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01015,849
 3,367  A*24:02-B*40:06-C*15:02-DRB1*08:03-DQB1*03:01  India West UCBB 0.01015,829
 3,368  A*24:02-B*40:06-C*15:02-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01014,204
 3,369  A*24:02-B*51:02-C*15:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01017,595
 3,370  A*32:01-B*40:06-C*15:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.010111,446
 3,371  A*68:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.01015,849
 3,372  A*01:01-B*40:06-C*15:02-DRB1*12:02-DQB1*03:03  India Tamil Nadu 0.01002,492
 3,373  A*01:01-B*40:06-C*15:02-DRB1*13:01-DQB1*05:03  India Tamil Nadu 0.01002,492
 3,374  A*02:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.01002,492
 3,375  A*02:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India Tamil Nadu 0.01002,492
 3,376  A*02:16-B*40:01-C*15:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.01002,492
 3,377  A*02:16-B*40:01-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.01002,492
 3,378  A*03:01-B*15:18-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.01002,492
 3,379  A*03:01-B*15:18-C*15:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.01002,492
 3,380  A*24:02-B*27:07-C*15:02-DRB1*04:08-DQB1*03:02  India Tamil Nadu 0.01002,492
 3,381  A*24:02-B*27:07-C*15:02-DRB1*08:04-DQB1*04:02  India Tamil Nadu 0.01002,492
 3,382  A*24:02-B*52:01-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.01002,492
 3,383  A*24:02-B*52:01-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.01002,492
 3,384  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010023,595
 3,385  A*02:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02-DPB1*05:01  Germany DKMS - German donors 0.01003,456,066
 3,386  A*01:01-B*15:01-C*15:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 3,387  A*01:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01005,829
 3,388  A*01:01-B*35:08-C*15:02-DRB1*08:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 3,389  A*01:01-B*40:02-C*15:02-DRB1*14:04-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 3,390  A*01:01-B*40:06-C*15:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 3,391  A*02:01-B*35:01-C*15:02-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 3,392  A*02:01-B*40:01-C*15:02-DRB1*12:01  Japan pop 16 0.010018,604
 3,393  A*02:01-B*40:02-C*15:02-DRB1*04:03  Japan pop 16 0.010018,604
 3,394  A*02:01-B*40:02-C*15:02-DRB1*04:05  Japan pop 16 0.010018,604
 3,395  A*02:01-B*40:02-C*15:02-DRB1*09:01  Japan pop 16 0.010018,604
 3,396  A*02:01-B*40:02-C*15:02-DRB1*14:06  Japan pop 16 0.010018,604
 3,397  A*02:01-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 3,398  A*02:01-B*51:01-C*15:02-DRB1*04:08-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 3,399  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01005,849
 3,400  A*02:01-B*51:01-C*15:02-DRB1*12:01  Japan pop 16 0.010018,604

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 3,301 to 3,400 (from 4,968) records   Pages: 31 32 33 34 35 36 37 38 39 40 of 50  


   

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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