HLA > Allele Frequency Search > Classical

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA allele frequencies that match your criteria. Remember at least one option must be selected.
Locus:  Starting Allele:  Ending Allele:  > (Type your allele e.g. A*01:01, etc. or leave both empty to include all alleles)
Select specific alleles (If you want to pick specific alleles, make sure your alleles are within the Start-End range above)
Clear
Select specific populations
Clear
Population:      Country:      Source of dataset: 
Region:  Ethnic Origin:     Type of Study:  Sort by: 
Sample Size:      Sample Year:      Level of resolution :   (Click here for further details)
Population standard: Gold only Gold and Silver All Show frequencies: All Only positives Only negatives
Displaying 138,801 to 138,900 (from 152,813) records   Pages: 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 of 1,529  

Line Allele Population % of individuals
that have the allele
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
 138,801   DRB1*12:02  Malaysia Jelebu Temuan  0.146025See
 138,802   DRB1*12:02  Malaysia Kedah Baling Kensiu  0.080025See
 138,803   DRB1*12:02  Malaysia Kedah Kensiu 28.6 0.143021See
 138,804   DRB1*12:02  Malaysia Kelantan 53.6 0.321028See
 138,805   DRB1*12:02  Malaysia Mandailing 55.6 0.315027See
 138,806   DRB1*12:02  Malaysia Pahang Semai 50.0 0.289038See
 138,807   DRB1*12:02  Malaysia Patani 36.0 0.220025See
 138,808   DRB1*12:02  Malaysia Peninsular Chinese 8.8 0.0516194See
 138,809   DRB1*12:02  Malaysia Peninsular Indian 4.1 0.0203271See
 138,810   DRB1*12:02  Malaysia Peninsular Malay 26.8 0.1572951See
 138,811   DRB1*12:02  Malaysia Perak Grik Jehai  0.140025See
 138,812   DRB1*12:02  Malaysia Sabah Dusun  0.010048See
 138,813   DRB1*12:02  Malaysia Sabah Kadazan  0.026057See
 138,814   DRB1*12:02  Malaysia Sarawak Bau Bidayuh  0.260025See
 138,815   DRB1*12:02  Malaysia Sarawak Bidayuh  0.310050See
 138,816   DRB1*12:02  Malaysia Sarawak Iban  0.235051See
 138,817   DRB1*12:02  Martinique  0.0100100See
 138,818   DRB1*12:02  Mexico Highlands Mestizos 0.0 0160See
 138,819   DRB1*12:02  Mexico Jaltepec Mazahuas  0.020050See
 138,820   DRB1*12:02  Mexico Mazahua  0.020065See
 138,821   DRB1*12:02  Mexico Mexico City Mestizo pop 2  0.0064234See
 138,822   DRB1*12:02  Mexico Mexico City Mestizo population  0.0035143See
 138,823   DRB1*12:02  Mexico Nuevo Leon Mestizo 0.0 040See
 138,824   DRB1*12:02  Mongolia Hoton  0.012085See
 138,825   DRB1*12:02  Mongolia Khalkha  0.0450200See
 138,826   DRB1*12:02  Mongolia Khalkha pop 2  0.0300202See
 138,827   DRB1*12:02  Mongolia Oold  0.0190104See
 138,828   DRB1*12:02  Mongolia Tarialan Khoton  0.012085See
 138,829   DRB1*12:02  Mongolia Tsaatan  0144See
 138,830   DRB1*12:02  Mongolia Ulaanbaatar Khalkha  0.037041See
 138,831   DRB1*12:02  Nauru  0.284067See
 138,832   DRB1*12:02  Netherlands 0.9 0.0045447See
 138,833   DRB1*12:02  Netherlands Leiden  0.00201,305See
 138,834   DRB1*12:02  Niue  0.014070See
 138,835   DRB1*12:02  Panama  0.0013462See
 138,836   DRB1*12:02  Papua New Guinea East New Britain Tolai  048See
 138,837   DRB1*12:02  Papua New Guinea Highland  0.006094See
 138,838   DRB1*12:02  Papua New Guinea Highland pop2  028See
 138,839   DRB1*12:02  Papua New Guinea Lowland  0.039047See
 138,840   DRB1*12:02  Papua New Guinea Lowland Roro  026See
 138,841   DRB1*12:02  Papua New Guinea Lowland Wosera  079See
 138,842   DRB1*12:02  Papua New Guinea South Gidra  0.0390192See
 138,843   DRB1*12:02  Papua New Guinea Trobriand Island  0.018081See
 138,844   DRB1*12:02  Paraguay Lengua  017See
 138,845   DRB1*12:02  Philippines  0.191034See
 138,846   DRB1*12:02  Poland DKMS  0.000320,653See
 138,847   DRB1*12:02  Poland Wielkopolska Region  0.005099See
 138,848   DRB1*12:02  Russia Karelia  0.00141,075See
 138,849   DRB1*12:02  Russia Siberia Chukchi  0.008071See
 138,850   DRB1*12:02  Russia Siberia Eskimo  070See
 138,851   DRB1*12:02  Russia Siberia Irkutsk Tofalar  043See
 138,852   DRB1*12:02  Russia Siberia Khabarovsk Evenki  025See
 138,853   DRB1*12:02  Russia Siberia Khanty Mansi  068See
 138,854   DRB1*12:02  Russia Siberia Kushun Buryat  0.020025See
 138,855   DRB1*12:02  Russia Siberia Negidal  035See
 138,856   DRB1*12:02  Russia Siberia Ulchi  073See
 138,857   DRB1*12:02  Russia Transbaikal Territory Buryats 7.0 0.0370150See
 138,858   DRB1*12:02  Russia Tuva  0.0200190See
 138,859   DRB1*12:02  Russia Tuva pop 2  0.0110169See
 138,860   DRB1*12:02  Russia Tuva pop3  0.011044See
 138,861   DRB1*12:02  Russia Tuva Todja  022See
 138,862   DRB1*12:02  Rwanda Kigali Hutu and Tutsi  0.0020281See
 138,863   DRB1*12:02  Samoa  029See
 138,864   DRB1*12:02  Samoa West  022See
 138,865   DRB1*12:02  Sao Tome Island Angolar  0.016032See
 138,866   DRB1*12:02  Sao Tome Island Forro  066See
 138,867   DRB1*12:02  Saudi Arabia Guraiat and Hail 0.5 0.0020213See
 138,868   DRB1*12:02  Saudi Arabia pop 6 (G)  0.0062 (*)28,927See
 138,869   DRB1*12:02  Singapore Riau Malay  0.3240132See
 138,870   DRB1*12:02  Singapore SGVP Chinese CHS  0.150096See
 138,871   DRB1*12:02  Singapore SGVP Malay MAS  0.231089See
 138,872   DRB1*12:02  Singapore SGVP. Indian INS  086See
 138,873   DRB1*12:02  Slovenia 1.0 0.0050100See
 138,874   DRB1*12:02  South Africa Caucasians  0.0050102See
 138,875   DRB1*12:02  South Africa Worcester 5.0 0.0250159See
 138,876   DRB1*12:02  South Korea pop 1  0.0250324See
 138,877   DRB1*12:02  South Korea pop 10  0.03344,128See
 138,878   DRB1*12:02  South Korea pop 11  0.0470149See
 138,879   DRB1*12:02  South Korea pop 2 9.2 0.0460207See
 138,880   DRB1*12:02  South Korea pop 3  0.0330485See
 138,881   DRB1*12:02  South Korea pop 4 7.6 0.0387211See
 138,882   DRB1*12:02  South Korea pop 6  0.0300800See
 138,883   DRB1*12:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.0900 0.00054,335See
 138,884   DRB1*12:02  Spain Andalusia  0.005099See
 138,885   DRB1*12:02  Spain Barcelona 0.2 0.0010941See
 138,886   DRB1*12:02  Spain Granada  0.0040280See
 138,887   DRB1*12:02  Spain Murcia  0173See
 138,888   DRB1*12:02  Sri Lanka Colombo 6.6 0.0340714See
 138,889   DRB1*12:02  Taiwan Aborigine pop 2  0.125048See
 138,890   DRB1*12:02  Taiwan Han Chinese  0.0860504See
 138,891   DRB1*12:02  Taiwan pop 2  0.0970364See
 138,892   DRB1*12:02  Taiwan pop1  0.1130539See
 138,893   DRB1*12:02  Taiwan Tzu Chi Cord Blood Bank  0.1010710See
 138,894   DRB1*12:02  Thailand  0.1510142See
 138,895   DRB1*12:02  Thailand Bangkok pop 2  0.140050See
 138,896   DRB1*12:02  Thailand Bangkok pop 3  0.1870187See
 138,897   DRB1*12:02  Thailand Kamphaeng Phet  0.175097See
 138,898   DRB1*12:02  Thailand North Dai Lue  0.068096See
 138,899   DRB1*12:02  Thailand Northeast  0.151066See
 138,900   DRB1*12:02  Thailand Northeast pop 2  0.1340400See

Notes:

* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
   Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* % of individuals that have the allele: Percentage of individuals who have the allele in the population (Individuals / n).
* Allele Frequencies shown in green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
   AF = 1-square_root(1-PF)
   PF = 1-(1-AF)2
   AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
* Allele Frequencies marked with (*) were calculated from all alleles in the corresponding G group.

¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.


Displaying 138,801 to 138,900 (from 152,813) records   Pages: 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 of 1,529  





   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional