| Line |
Allele |
Population |
% of individuals that have the allele/gene |
Allele Frequency (3 decimals) |
Sample Size |
IPD-KIR Database¹ |
Distribution² |
Notes³ |
| 4,901 | 3DL1*043 |  | Spain Majorca KIR | | | 0.000 | | 63 | See |  | |
| 4,902 | 3DL1*043 |  | Taiwan Han KIR | | | 0.000 | | 157 | See |  | |
| 4,903 | 3DL1*043 |  | Tanzania KIR | | | 0.000 | | 77 | See |  | |
| 4,904 | 3DL1*043 |  | Tanzania pop 2 KIR | | | 0.000 | | 67 | See |  | |
| 4,905 | 3DL1*043 |  | Thailand Bangkok KIR | | | 0.000 | | 119 | See |  | |
| 4,906 | 3DL1*043 |  | Trinidad Africans KIR | | | 0.000 | | 62 | See |  | |
| 4,907 | 3DL1*043 |  | Trinidad South Asians KIR | | | 0.005 |  | 108 | See |  | |
| 4,908 | 3DL1*043 |  | Turkey KIR | | | 0.000 | | 76 | See |  | |
| 4,909 | 3DL1*043 |  | USA Boston KIR | | | 0.000 | | 53 | See |  | |
| 4,910 | 3DL1*043 |  | USA California African American pop 2 KIR | | | 0.000 | | 92 | See |  | |
| 4,911 | 3DL1*043 |  | USA California Asian American pop 2 KIR | | | 0.000 | | 37 | See |  | |
| 4,912 | 3DL1*043 |  | USA California Caucasians pop 2 KIR | | | 0.000 | | 100 | See |  | |
| 4,913 | 3DL1*043 |  | USA California Hispanic pop 2 KIR | | | 0.000 | | 156 | See |  | |
| 4,914 | 3DL1*043 |  | Venezuela Bari KIR | | | 0.000 | | 80 | See |  | |
| 4,915 | 3DL1*043 |  | Venezuela Warao KIR | | | 0.000 | | 89 | See |  | |
| 4,916 | 3DL1*043 |  | Venezuela Yucpa KIR | | | 0.000 | | 61 | See |  | |
| 4,917 | 3DL1*043 |  | Zimbabwe KIR | | | 0.000 | | 93 | See |  | |
| 4,918 | 3DL1*044 |  | China Zhejiang Province Han KIR pop 2 | | | 0.000 | | 162 | See |  | |
| 4,919 | 3DL1*044 |  | England KIR | | | 0.000 | | 136 | See |  | |
| 4,920 | 3DL1*044 |  | Georgia KIR | | | 0.000 | | 188 | See |  | |
| 4,921 | 3DL1*044 |  | Ghana Prampram KIR | | | 0.000 | | 154 | See |  | |
| 4,922 | 3DL1*044 |  | India Madurai Piramalai Kallar KIR | | | 0.000 | | 107 | See |  | |
| 4,923 | 3DL1*044 |  | India Madurai Yadhav KIR | | | 0.000 | | 117 | See |  | |
| 4,924 | 3DL1*044 |  | India Sourashtran KIR | | | 0.000 | | 104 | See |  | |
| 4,925 | 3DL1*044 |  | Jordan Palestine KIR | | | 0.000 | | 105 | See |  | |
| 4,926 | 3DL1*044 |  | Nigeria KIR | | | 0.000 | | 164 | See |  | |
| 4,927 | 3DL1*044 |  | Pakistan Karachi KIR | | | 0.000 | | 78 | See |  | |
| 4,928 | 3DL1*044 |  | South Korea KIR | | | 0.000 | | 154 | See |  | |
| 4,929 | 3DL1*044 |  | Spain Majorca KIR | | | 0.008 |  | 63 | See |  | |
| 4,930 | 3DL1*044 |  | Taiwan Han KIR | | | 0.000 | | 157 | See |  | |
| 4,931 | 3DL1*044 |  | Tanzania KIR | | | 0.000 | | 77 | See |  | |
| 4,932 | 3DL1*044 |  | Tanzania pop 2 KIR | | | 0.000 | | 67 | See |  | |
| 4,933 | 3DL1*044 |  | Thailand Bangkok KIR | | | 0.000 | | 119 | See |  | |
| 4,934 | 3DL1*044 |  | Trinidad Africans KIR | | | 0.000 | | 62 | See |  | |
| 4,935 | 3DL1*044 |  | Trinidad South Asians KIR | | | 0.000 | | 108 | See |  | |
| 4,936 | 3DL1*044 |  | Turkey KIR | | | 0.000 | | 76 | See |  | |
| 4,937 | 3DL1*044 |  | USA Boston KIR | | | 0.000 | | 53 | See |  | |
| 4,938 | 3DL1*044 |  | USA California African American pop 2 KIR | | | 0.000 | | 92 | See |  | |
| 4,939 | 3DL1*044 |  | USA California Asian American pop 2 KIR | | | 0.000 | | 37 | See |  | |
| 4,940 | 3DL1*044 |  | USA California Caucasians pop 2 KIR | | | 0.000 | | 100 | See |  | |
| 4,941 | 3DL1*044 |  | USA California Hispanic pop 2 KIR | | | 0.000 | | 156 | See |  | |
| 4,942 | 3DL1*044 |  | Venezuela Bari KIR | | | 0.000 | | 80 | See |  | |
| 4,943 | 3DL1*044 |  | Venezuela Warao KIR | | | 0.000 | | 89 | See |  | |
| 4,944 | 3DL1*044 |  | Venezuela Yucpa KIR | | | 0.000 | | 61 | See |  | |
| 4,945 | 3DL1*044 |  | Zimbabwe KIR | | | 0.000 | | 93 | See |  | |
| 4,946 | 3DL1*051 |  | China Zhejiang Province Han KIR pop 2 | | | 0.000 | | 162 | See |  | |
| 4,947 | 3DL1*052 |  | China Zhejiang Province Han KIR pop 2 | | | 0.000 | | 162 | See |  | |
| 4,948 | 3DL1*053 |  | China Zhejiang Province Han KIR pop 2 | | | 0.000 | | 162 | See |  | |
| 4,949 | 3DL1*054 |  | China Zhejiang Province Han KIR pop 2 | | | 0.000 | | 162 | See |  | |
| 4,950 | 3DL1*056 |  | China Zhejiang Province Han KIR pop 2 | | | 0.000 | | 162 | See |  | |
| 4,951 | 3DL1*057 |  | China Zhejiang Province Han KIR pop 2 | | | 0.000 | | 162 | See |  | |
| 4,952 | 3DL1*059 |  | China Zhejiang Province Han KIR pop 2 | | | 0.000 | | 162 | See |  | |
| 4,953 | 3DL1*059 |  | Ghana Ga-Adangbe KIR | | | 0.041 |  | 131 | See |  | |
| 4,954 | 3DL1*059 |  | USA African American KIR pop 2 |  | 3.0 | | | 100 | See |  | |
| 4,955 | 3DL1*060 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,956 | 3DL1*060 |  | Ghana Ga-Adangbe KIR |  | | 0.016 |  | 131 | See |  | |
| 4,957 | 3DL1*061 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,958 | 3DL1*062 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,959 | 3DL1*063 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,960 | 3DL1*064 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,961 | 3DL1*065 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,962 | 3DL1*066 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,963 | 3DL1*067 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,964 | 3DL1*068 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,965 | 3DL1*070 |  | China Shenzhen Han KIR |  | 0.7 | | | 306 | See |  | |
| 4,966 | 3DL1*072 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,967 | 3DL1*073 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.000 | | 162 | See |  | |
| 4,968 | 3DL1*074 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.004 |  | 162 | See |  | |
| 4,969 | 3DL1*075 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.015 |  | 162 | See |  | |
| 4,970 | 3DL1*076 |  | China Zhejiang Province Han KIR pop 2 |  | | 0.004 |  | 162 | See |  | |
| 4,971 | 3DL2 |  | Argentina Buenos Aires KIR |  | 100.0 | | | 365 | See |  | |
| 4,972 | 3DL2 |  | Argentina Chaco Region Wichi KIR |  | 100.0 | | | 82 | See |  | |
| 4,973 | 3DL2 |  | Argentina Chiriguano KIR |  | 100.0 | | | 54 | See |  | |
| 4,974 | 3DL2 |  | Argentina KIR |  | 100.0 | | | 102 | See |  | |
| 4,975 | 3DL2 |  | Argentina Salta Wichi KIR |  | 100.0 | | | 19 | See |  | |
| 4,976 | 3DL2 |  | Australia Queensland Brisbane KIR |  | 99.1 | | | 106 | See |  | |
| 4,977 | 3DL2 |  | Australia South Aborigine KIR |  | 100.0 | | | 67 | See |  | |
| 4,978 | 3DL2 |  | Australia West Caucasian KIR |  | 100.0 | | | 50 | See |  | |
| 4,979 | 3DL2 |  | Belgium KIR |  | 100.0 | | | 148 | See |  | |
| 4,980 | 3DL2 |  | Belgium KIR pop 2 |  | 100.0 | | | 100 | See |  | |
| 4,981 | 3DL2 |  | Borneo Kalimantan KIR |  | 100.0 | | | 48 | See |  | |
| 4,982 | 3DL2 |  | Brazil Amazon KIR |  | 98.0 | | | 40 | See |  | |
| 4,983 | 3DL2 |  | Brazil Bahia Ilhéus KIR |  | 100.0 | 1.000 |  | 102 | See |  | |
| 4,984 | 3DL2 |  | Brazil Belem Mixed KIR |  | 99.0 | | | 347 | See |  | |
| 4,985 | 3DL2 |  | Brazil Belo Horizonte Caucasian KIR |  | 100.0 | | | 90 | See |  | |
| 4,986 | 3DL2 |  | Brazil Curitiba Japanese KIR |  | 100.0 | | | 51 | See |  | |
| 4,987 | 3DL2 |  | Brazil Curitiba KIR |  | 100.0 | 1.000 |  | 164 | See |  | |
| 4,988 | 3DL2 |  | Brazil Guarani Kaiowá KIR |  | 100.0 | | | 96 | See |  | |
| 4,989 | 3DL2 |  | Brazil Guarani MByá KIR |  | 100.0 | | | 81 | See |  | |
| 4,990 | 3DL2 |  | Brazil Guarani Ñandeva KIR |  | 100.0 | | | 50 | See |  | |
| 4,991 | 3DL2 |  | Brazil Kaingang KIR |  | 100.0 | | | 100 | See |  | |
| 4,992 | 3DL2 |  | Brazil Mato Grosso do Sul Campo Grande KIR |  | 100.0 | | | 206 | See |  | |
| 4,993 | 3DL2 |  | Brazil Parana Japanese KIR |  | 100.0 | | | 214 | See |  | |
| 4,994 | 3DL2 |  | Brazil Paraná Maringa KIR |  | 100.0 | | | 130 | See |  | |
| 4,995 | 3DL2 |  | Brazil Parana Mixed KIR |  | 100.0 | | | 289 | See |  | |
| 4,996 | 3DL2 |  | Brazil Parana Mixed KIR pop 2 |  | 100.0 | | | 172 | See |  | |
| 4,997 | 3DL2 |  | Brazil Porto Alegre Caucasian KIR |  | 100.0 | | | 250 | See |  | |
| 4,998 | 3DL2 |  | Brazil Porto Alegre Caucasian KIR pop 2 |  | 100.0 | | | 216 | See |  | |
| 4,999 | 3DL2 |  | Brazil Porto Alegre Caucasian KIR pop 3 |  | 100.0 | | | 278 | See |  | |
| 5,000 | 3DL2 |  | Brazil Rio de Janeiro Caucasian pop 2 KIR |  | 100.0 | | | 98 | 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.