| Line |
Allele |
Population |
% of individuals that have the allele/gene |
Allele Frequency (3 decimals) |
Sample Size |
IPD-KIR Database¹ |
Distribution² |
Notes³ |
| 2,901 | 2DS4*012 |  | USA African American KIR pop 2 |  | 1.0 | | | 100 | See |  | |
| 2,902 | 2DS4*013 |  | USA African American KIR pop 2 |  | 4.0 | | | 100 | See |  | |
| 2,903 | 2DS5 |  | Argentina Buenos Aires KIR |  | 35.4 | | | 365 | See |  | |
| 2,904 | 2DS5 |  | Argentina Chaco Region Wichi KIR |  | 57.0 | | | 82 | See |  | |
| 2,905 | 2DS5 |  | Argentina Chiriguano KIR |  | 55.5 | | | 54 | See |  | |
| 2,906 | 2DS5 |  | Argentina KIR |  | 32.3 | | | 102 | See |  | |
| 2,907 | 2DS5 |  | Argentina Salta Wichi KIR |  | 31.6 | | | 19 | See |  | |
| 2,908 | 2DS5 |  | Australia Queensland Brisbane KIR |  | 83.0 | | | 106 | See |  | |
| 2,909 | 2DS5 |  | Belgium KIR |  | 29.0 | | | 148 | See |  | |
| 2,910 | 2DS5 |  | Belgium KIR pop 2 |  | 24.0 | | | 100 | See |  | |
| 2,911 | 2DS5 |  | Borneo Kalimantan KIR |  | 10.0 | | | 48 | See |  | |
| 2,912 | 2DS5 |  | Brazil Amazon KIR |  | 90.0 | | | 40 | See |  | |
| 2,913 | 2DS5 |  | Brazil Bahia Ilhéus KIR |  | 38.2 | 0.214 |  | 102 | See |  | |
| 2,914 | 2DS5 |  | Brazil Belem Mixed KIR |  | 54.2 | | | 347 | See |  | |
| 2,915 | 2DS5 |  | Brazil Belo Horizonte Caucasian KIR |  | 32.2 | | | 90 | See |  | |
| 2,916 | 2DS5 |  | Brazil Curitiba Japanese KIR |  | 17.7 | | | 51 | See |  | |
| 2,917 | 2DS5 |  | Brazil Curitiba KIR |  | 31.9 | 0.170 |  | 164 | See |  | |
| 2,918 | 2DS5 |  | Brazil Guarani Kaiowá KIR |  | 69.0 | | | 96 | See |  | |
| 2,919 | 2DS5 |  | Brazil Guarani MByá KIR |  | 64.0 | | | 81 | See |  | |
| 2,920 | 2DS5 |  | Brazil Guarani Ñandeva KIR |  | 56.0 | | | 50 | See |  | |
| 2,921 | 2DS5 |  | Brazil Kaingang KIR |  | 68.0 | | | 100 | See |  | |
| 2,922 | 2DS5 |  | Brazil Mato Grosso do Sul Campo Grande KIR |  | 37.4 | | | 206 | See |  | |
| 2,923 | 2DS5 |  | Brazil Parana Japanese KIR |  | 30.4 | | | 214 | See |  | |
| 2,924 | 2DS5 |  | Brazil Paraná Maringa KIR |  | 36.9 | | | 130 | See |  | |
| 2,925 | 2DS5 |  | Brazil Parana Mixed KIR |  | 34.6 | | | 289 | See |  | |
| 2,926 | 2DS5 |  | Brazil Parana Mixed KIR pop 2 |  | 36.0 | | | 172 | See |  | |
| 2,927 | 2DS5 |  | Brazil Porto Alegre Caucasian KIR |  | 29.1 | | | 250 | See |  | |
| 2,928 | 2DS5 |  | Brazil Porto Alegre Caucasian KIR pop 2 |  | 40.3 | | | 216 | See |  | |
| 2,929 | 2DS5 |  | Brazil Porto Alegre Caucasian KIR pop 3 |  | 39.2 | | | 278 | See |  | |
| 2,930 | 2DS5 |  | Brazil Rio de Janeiro Caucasian pop 2 KIR |  | 41.3 | | | 98 | See |  | |
| 2,931 | 2DS5 |  | Brazil Rio de Janeiro Mixed KIR |  | 40.4 | | | 166 | See |  | |
| 2,932 | 2DS5 |  | Brazil Rondonia Porto Velho KIR |  | 43.0 | | | 377 | See |  | |
| 2,933 | 2DS5 |  | Brazil Sao Paulo KIR |  | 35.0 | | | 289 | See |  | |
| 2,934 | 2DS5 |  | Brazil Southeast Caucasian KIR |  | 32.7 | | | 55 | See |  | |
| 2,935 | 2DS5 |  | Bulgaria KIR | | 0.0 | | | 54 | See |  | |
| 2,936 | 2DS5 |  | Canada Iranian KIR |  | 45.6 | | | 68 | See |  | |
| 2,937 | 2DS5 |  | Chile Talca KIR |  | 37.8 | | | 90 | See |  | |
| 2,938 | 2DS5 |  | China Eastern Mainland Han KIR |  | 28.0 | | | 106 | See |  | |
| 2,939 | 2DS5 |  | China Guangdong Han KIR |  | 20.6 | | | 107 | See |  | |
| 2,940 | 2DS5 |  | China Hubei Province Tujia KIR |  | 30.0 | | | 124 | See |  | |
| 2,941 | 2DS5 |  | China Hunan Han KIR |  | 23.0 | | | 448 | See |  | |
| 2,942 | 2DS5 |  | China Inner Mongolia Han KIR |  | 28.9 | | | 104 | See |  | |
| 2,943 | 2DS5 |  | China Inner Mongolia Mongol KIR |  | 32.5 | | | 160 | See |  | |
| 2,944 | 2DS5 |  | China Inner Mongolia Province KIR pop 2 |  | 40.0 | 0.230 |  | 87 | See |  | |
| 2,945 | 2DS5 |  | China Jiangsu Province Han KIR |  | 30.7 | | | 150 | See |  | |
| 2,946 | 2DS5 |  | China Jiangsu Province Han KIR pop2 |  | 28.3 | | | 60 | See |  | |
| 2,947 | 2DS5 |  | China Mongolia Province KIR |  | 34.4 | | | 90 | See |  | |
| 2,948 | 2DS5 |  | China Nanjing KIR |  | 26.1 | | | 238 | See |  | |
| 2,949 | 2DS5 |  | China Shaanxi Province Han KIR |  | 38.5 | | | 104 | See |  | |
| 2,950 | 2DS5 |  | China Shenzhen Han KIR pop 2 |  | 22.9 | | | 503 | See |  | |
| 2,951 | 2DS5 |  | China Tibet Lhasa KIR |  | 37.0 | | | 102 | See |  | |
| 2,952 | 2DS5 |  | China Xinjiang Region Urumqi Uygur KIR |  | 42.5 | | | 120 | See |  | |
| 2,953 | 2DS5 |  | China Yunnan Han KIR |  | 30.2 | | | 404 | See |  | |
| 2,954 | 2DS5 |  | China Yunnan Province Dali Bai KIR |  | 29.0 | | | 100 | See |  | |
| 2,955 | 2DS5 |  | China Yunnan Province Drung KIR |  | 11.2 | | | 152 | See |  | |
| 2,956 | 2DS5 |  | China Yunnan Province Fengyandong Han KIR |  | 11.8 | | | 93 | See |  | |
| 2,957 | 2DS5 |  | China Yunnan Province Fugong Nu KIR |  | 16.0 | | | 112 | See |  | |
| 2,958 | 2DS5 |  | China Yunnan Province Menghai Bulang KIR |  | 40.0 | | | 109 | See |  | |
| 2,959 | 2DS5 |  | China Yunnan Province Sunan Yugu KIR |  | 29.0 | | | 104 | See |  | |
| 2,960 | 2DS5 |  | China Yunnan Province Tiandeng Zhuang KIR |  | 16.0 | | | 98 | See |  | |
| 2,961 | 2DS5 |  | China Zhejiang Han KIR |  | 28.9 | | | 273 | See |  | |
| 2,962 | 2DS5 |  | China Zhejiang Province Han KIR |  | 23.0 | | | 104 | See |  | |
| 2,963 | 2DS5 |  | Comoros Mixed KIR |  | 37.0 | | | 54 | See |  | |
| 2,964 | 2DS5 |  | Cook Islands KIR |  | 35.0 | | | 48 | See |  | |
| 2,965 | 2DS5 |  | Costa Rica Guanacaste KIR |  | 41.0 | | | 117 | See |  | |
| 2,966 | 2DS5 |  | Croatia KIR |  | 21.0 | | | 125 | See |  | |
| 2,967 | 2DS5 |  | Croatia KIR pop 2 |  | 32.0 | | | 111 | See |  | |
| 2,968 | 2DS5 |  | Croatia KIR pop 3 |  | 21.0 | | | 121 | See |  | |
| 2,969 | 2DS5 |  | Cuba Caucasian KIR |  | 31.4 | | | 70 | See |  | |
| 2,970 | 2DS5 |  | Czech Republic KIR |  | 26.0 | | | 125 | See |  | |
| 2,971 | 2DS5 |  | East Timor KIR |  | 60.0 | | | 50 | See |  | |
| 2,972 | 2DS5 |  | England KIR |  | 32.0 | | | 136 | See |  | |
| 2,973 | 2DS5 |  | England KIR pop 3 |  | 29.0 | | | 334 | See |  | |
| 2,974 | 2DS5 |  | England KIR pop 4 |  | 34.3 | | | 99 | See |  | |
| 2,975 | 2DS5 |  | England KIR pop 5 |  | 36.3 | | | 584 | See |  | |
| 2,976 | 2DS5 |  | England Oxfordshire KIR |  | 31.5 | | | 216 | See |  | |
| 2,977 | 2DS5 |  | England West Midlands Afro Caribbean KIR |  | 30.0 | | | 54 | See |  | |
| 2,978 | 2DS5 |  | England West Midlands Indian Asian KIR |  | 51.0 | | | 35 | See |  | |
| 2,979 | 2DS5 |  | England West Midlands KIR |  | 33.0 | | | 126 | See |  | |
| 2,980 | 2DS5 |  | Equatorial Guinea Bioko Island Bubi KIR |  | 34.4 | | | 95 | See |  | |
| 2,981 | 2DS5 |  | Finland Helsinki KIR |  | 45.5 | | | 101 | See |  | |
| 2,982 | 2DS5 |  | France Reims KIR |  | 36.3 | | | 102 | See |  | |
| 2,983 | 2DS5 |  | France Southeast KIR |  | 28.0 | | | 130 | See |  | |
| 2,984 | 2DS5 |  | France Southeast KIR pop 2 |  | 34.0 | | | 38 | See |  | |
| 2,985 | 2DS5 |  | France West KIR |  | 27.0 | | | 108 | See |  | |
| 2,986 | 2DS5 |  | Gabon KIR |  | 33.3 | | | 54 | See |  | |
| 2,987 | 2DS5 |  | Georgia KIR |  | 35.1 | | | 188 | See |  | |
| 2,988 | 2DS5 |  | Germany Hesse KIR |  | 27.2 | | | 99 | See |  | |
| 2,989 | 2DS5 |  | Ghana KIR |  | 22.0 | | | 41 | See |  | |
| 2,990 | 2DS5 |  | Greece KIR |  | 21.0 | | | 233 | See |  | |
| 2,991 | 2DS5 |  | Guadeloupe Mixed KIR |  | 32.0 | | | 90 | See |  | |
| 2,992 | 2DS5 |  | Hong Kong Chinese KIR |  | 26.0 | | | 100 | See |  | |
| 2,993 | 2DS5 |  | India Madurai Piramalai Kallar Dravidian KIR |  | 43.0 | | | 100 | See |  | |
| 2,994 | 2DS5 |  | India Maharashtra Pune Western KIR |  | 52.9 | | | 104 | See |  | |
| 2,995 | 2DS5 |  | India Mumbai Maharashtrian KIR |  | 46.4 | | | 139 | See |  | |
| 2,996 | 2DS5 |  | India Mumbai Parsi KIR |  | 51.0 | | | 145 | See |  | |
| 2,997 | 2DS5 |  | India North Hindu KIR |  | 47.2 | | | 72 | See |  | |
| 2,998 | 2DS5 |  | India North KIR |  | 57.8 | | | 512 | See |  | |
| 2,999 | 2DS5 |  | India North pop 2 KIR |  | 53.0 | | | 100 | See |  | |
| 3,000 | 2DS5 |  | India Northeast Assam Kharachi |  | 30.5 | | | 108 | See |  | |
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in three decimal format.
* % of individuals that have the allele: Percentage of individuals who have the allele or gene in the population (Individuals / n).
¹ IPD-KIR Database - For more details of the allele.
² Distribution - Graphical display of the distribution of the allele.
³ Notes - See notes for ambiguous combinations of alleles.