SNPs are specific locations in the DNA where genetic variations can occur. Every person has a unique composition of variations.
SNP rs2009373 is located on chromosome 19. The most common variation at this position is the T. People with other variations might have letter C instead.
Since humans have each twice (one from each parent), these letter-variations occur on both chromosomes. People can have the same or different letters on both chromosomes. Every person's individual variation assembly is referred to as genotype. For SNP rs2009373 there are 3 currently known genotypes: C/T , C/C or T/T
This interactive browser visualizes what no human can see with the naked eye - our DNA. From a down to a specific position on a . The position you are looking at here is the exact location of SNP rs2009373. Explore more SNPs and their effects on the body by browsing left and right along the DNA strand.
Your genetic code influences you in many ways. This may be by either causing you to have a specific trait (eg. Eye colour) or your risk of developing a specific disease.
Each combination of genetic letters (called bases) is called a genotype for this specific SNP. Each Genotype can have a different effect on your body. The table below shows which genotype causes which traits or disease risks.
Current research shows 1 disease risks associated with rs2009373. The following table shows the relationship between genotype and .
Effect | Likelihood | Level of evidence | Research |
---|---|---|---|
Extrapulmonary tuberculosis (EPTB) | 0.48x | ||
Single-Nucleotide Variants in the AIM2 – Absent in Melanoma 2 Gene (rs1103577) Associated With Protection for Tuberculosis (2021) Figueira, Mariana Brasil de Andrade, de Lima, Dhêmerson Souza, Boechat, Antonio Luiz, Filho, Milton Gomes do Nascimento, Antunes, Irineide Assumpção, Matsuda, Joycenéa da Silva, Ribeiro, Thaís Rodrigues de Albuquerque, Felix, Luana Sousa, Gonçalves, Ariane Senna Fonseca, da Costa, Allyson Guimarães, Ramasawmy, Rajendranath, Pontillo, Alessandra, Ogusku, Mauricio Morishi, Sadahiro, Aya Text Extract:The SNV of CARD8 (rs2009373) showed a decrease risk in development of EPTB when compared to PTB in a recessive model (p adj: 0.026, ORadj: 0.48, 95% CI: 0.25-0.96) ( Table 2 ) PMCID: PMCID8047195 |
Effect | Likelihood | Level of evidence | Research |
---|---|---|---|
Extrapulmonary tuberculosis (EPTB) | 1.00x | ||
Single-Nucleotide Variants in the AIM2 – Absent in Melanoma 2 Gene (rs1103577) Associated With Protection for Tuberculosis (2021) Figueira, Mariana Brasil de Andrade, de Lima, Dhêmerson Souza, Boechat, Antonio Luiz, Filho, Milton Gomes do Nascimento, Antunes, Irineide Assumpção, Matsuda, Joycenéa da Silva, Ribeiro, Thaís Rodrigues de Albuquerque, Felix, Luana Sousa, Gonçalves, Ariane Senna Fonseca, da Costa, Allyson Guimarães, Ramasawmy, Rajendranath, Pontillo, Alessandra, Ogusku, Mauricio Morishi, Sadahiro, Aya Text Extract:The SNV of CARD8 (rs2009373) showed a decrease risk in development of EPTB when compared to PTB in a recessive model (p adj: 0.026, ORadj: 0.48, 95% CI: 0.25-0.96) ( Table 2 ) PMCID: PMCID8047195 |
Effect | Likelihood | Level of evidence | Research |
---|---|---|---|
Extrapulmonary tuberculosis (EPTB) | 0.23x | ||
Single-Nucleotide Variants in the AIM2 – Absent in Melanoma 2 Gene (rs1103577) Associated With Protection for Tuberculosis (2021) Figueira, Mariana Brasil de Andrade, de Lima, Dhêmerson Souza, Boechat, Antonio Luiz, Filho, Milton Gomes do Nascimento, Antunes, Irineide Assumpção, Matsuda, Joycenéa da Silva, Ribeiro, Thaís Rodrigues de Albuquerque, Felix, Luana Sousa, Gonçalves, Ariane Senna Fonseca, da Costa, Allyson Guimarães, Ramasawmy, Rajendranath, Pontillo, Alessandra, Ogusku, Mauricio Morishi, Sadahiro, Aya Text Extract:The SNV of CARD8 (rs2009373) showed a decrease risk in development of EPTB when compared to PTB in a recessive model (p adj: 0.026, ORadj: 0.48, 95% CI: 0.25-0.96) ( Table 2 ) PMCID: PMCID8047195 |
Knowing your genome can actually tell you a lot about your ancestors.
The prevalence of the different genotypes is based on the native inhabitants of a region. In the map below you see how common each genotype is in the native inhabitants of those regions. Since genetic material is passed down form generation to generation, your DNA shows traces of the geographical origins of your ancestors.
This data is based on “The 1000 Genomes Project” which established one of the most detailed overviews of human genetic variations across the globe. The regions are broadly categorized into five continental groups: Africa, America, Europe, South Asia and East Asia. All continental groups together display the global prevalence. Click through the regions, to learn more about the local prevalence of the possible genotypes.
At present, there is no distribution data available for SNP rs2009373.
All of the resources below examine SNP rs2009373
Figueira, Mariana Brasil de Andrade, de Lima, Dhêmerson Souza, Boechat, Antonio Luiz, Filho, Milton Gomes do Nascimento, Antunes, Irineide Assumpção, Matsuda, Joycenéa da Silva, Ribeiro, Thaís Rodrigues de Albuquerque, Felix, Luana Sousa, Gonçalves, Ariane Senna Fonseca, da Costa, Allyson Guimarães, Ramasawmy, Rajendranath, Pontillo, Alessandra, Ogusku, Mauricio Morishi, Sadahiro, Aya
Figueira, Mariana Brasil de Andrade, de Lima, Dhêmerson Souza, Boechat, Antonio Luiz, Filho, Milton Gomes do Nascimento, Antunes, Irineide Assumpção, Matsuda, Joycenéa da Silva, Ribeiro, Thaís Rodrigues de Albuquerque, Felix, Luana Sousa, Gonçalves, Ariane Senna Fonseca, da Costa, Allyson Guimarães, Ramasawmy, Rajendranath, Pontillo, Alessandra, Ogusku, Mauricio Morishi, Sadahiro, Aya
Figueira, Mariana Brasil de Andrade, de Lima, Dhêmerson Souza, Boechat, Antonio Luiz, Filho, Milton Gomes do Nascimento, Antunes, Irineide Assumpção, Matsuda, Joycenéa da Silva, Ribeiro, Thaís Rodrigues de Albuquerque, Felix, Luana Sousa, Gonçalves, Ariane Senna Fonseca, da Costa, Allyson Guimarães, Ramasawmy, Rajendranath, Pontillo, Alessandra, Ogusku, Mauricio Morishi, Sadahiro, Aya