This variation affects:
1:g.155216951G>C is a genetic variant associated with Cancer.
This variant is located on chromosome 1. The variations at position 155216951 are the genetic letters A/A, A/G
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 combination is referred to as genotype. For variant 1:g.155216951G>C there are 2 currently known genotypes : A/A or A/G
1:g.155216951G>C is located on gene in chromsome 1. Use the genome browser to explore the location of 1:g.155216951G>C and its genetic neighbourhood.
1:g.155216951G>C affects the following drugs:
1:g.155216951G>C is commonly tested together with other variants on the same gene.
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 variant . Explore more variants and their effects on the body by browsing left and right along the DNA strand.
Mutations are random changes in the DNA and genetic variations are differences in the DNA among people. Variants are tiny changes in just one piece of the DNA while haplotypes are groups of these changes that usually come together.
Dr. Wallerstorfer
The different genotypes of variant 1:g.155216951G>C can affect the expression or likelyhood of developing certain traits or conditions. Current research shows that 1 condition and 0 traits are associated with 1:g.155216951G>C. The following table shows the relationship between genotypes and conditions and traits.
Genetic variants can influence how our body reacts to certain drugs. The presence of specific genetic variants can increase or decrease the efficiency and effectiveness of a drug, impacting how well it works inside our system. Additionally, certain genetic variants can heighten or lessen the toxicity of a drug, thereby affecting the risk of unwanted side effects. They can also alter how a drug is metabolized, which influences the appropriate dosage one should receive.
Dr. Wallerstorfer
Scientific studies classifications aim to uncover how genetic variants function and their roles in diseases, traits, and evolution. Variants are categorized based on their functional impact, such as loss-of-function (reduces gene activity), gain-of-function (increases gene activity), neutral (no significant impact), or evolutionary conservation. This classification uses experimental data, population studies, and computational analyses to understand variant effects. Unlike clinical testing, which focuses on immediate health impacts, scientific studies explore broader genetic mechanisms and long-term implications.
Genotype
A
A
Level of evidence
No Effect
Unisex
0 Sources
Participants: 0
No available data
Genotype
A
G
Level of evidence
No Effect
Unisex
0 Sources
Participants: 0
No available data
Genotype
A
A
Level of evidence
No Effect
Unisex
0 Sources
Participants: 0
No available data
Genotype
A
G
Level of evidence
No Effect
Unisex
0 Sources
Participants: 0
No available data
The genetic variant 1:g.155216951G>C impacts how certain medications work in the body. This difference may cause some of us to require different dosage amounts to achieve the desired effects, while others might experience more apparent side-effects. As a result, healthcare providers may need to adjust prescriptions for those individuals with 1:g.155216951G>C. Ultimately, understanding our genetic makeup helps improve the overall effectiveness and usability of medications. Tailoring treatments based on genetics ensures a safer, more personalized healthcare experience.
1:g.155216951G>C is commonly tested together with other variants on the same gene.
Conditions and traits are often affected by more than one variant. It is important to understand these other factors to get a better understanding of how genetics affect certain conditions and traits. The following grid shows other variants that affect the same conditions and traits as 1:g.155216951G>C.
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 1057941. 1057941.
All of the resources below examine variant
Gordon Fehringer, Peter Kraft, Paul D. Pharoah, Rosalind A. Eeles, Nilanjan Chatterjee, Fred Schumacher, Joellen Schildkraut, Sara Lindström, Paul Brennan, Heike Bickeböller, Richard S. Houlston, Maria Teresa Landi, Neil Caporaso, Angela Risch, Ali Amin Al Olama, Sonja I Berndt, Edward Giovannucci, Henrik Grönberg, Zsofia Kote-Jarai, Jing Ma, Kenneth Muir, Meir Stampfer, Victoria L. Stevens, Fredrik Wiklund, Walter Willett, Ellen L. Goode, Jennifer Permuth, Harvey A. Risch, Brett M. Reid, Stephane Bezieau, Hermann Brenner, Andrew T. Chan, Jenny Chang-Claude, Thomas J. Hudson, Jonathan K. Kocarnik, Polly A. Newcomb, Robert E. Schoen, Martha L. Slattery, Emily White, Muriel A. Adank, Habibul Ahsan, Kristiina Aittomäki, Laura Baglietto, Carl Blomquist, Federico Canzian, Kamila Czene, Isabel dos-Santos-Silva, A. Heather Eliassen, Jonine Figueroa, Dieter Flesch-Janys, Olivia Fletcher, Montserrat Garcia-Closas, Mia M. Gaudet, Nichola Johnson, Per Hall, Aditi Hazra, Rebecca Hein, Albert Hofman, John L. Hopper, Astrid Irwanto, Mattias Johansson, Rudolf Kaaks, Muhammad G. Kibriya, Peter Lichtner, Jianjun Liu, Eiliv Lund, Enes Makalic, Alfons Meindl, Bertram Müller-Myhsok, Taru A. Muranen, Heli Nevanlinna, Petra H. Peeters, Julian Peto, Ross L. Prentice, Nazneen Rahman, Maria Jose Sanchez, Daniel F. Schmidt, Rita K. Schmutzler, Melissa C. Southey, Rulla Tamimi, Ruth C. Travis, Clare Turnbull, Andre G. Uitterlinden, Zhaoming Wang, Alice S. Whittemore, Xiaohong R. Yang, Wei Zheng, Thorunn Rafnar, Julius Gudmundsson, Simon N. Stacey, Kari Stefansson, Patrick Sulem, Y. Ann Chen, Jonathan P. Tyrer, David C. Christiani, Yongyue Wei, Hongbing Shen, Zhibin Hu, Xiao-Ou Shu, Kouya Shiraishi, Atsushi Takahashi, Yohan Bossé, Ma’en Obeidat, David Nickle, Wim Timens, Matthew L. Freedman, Qiyuan Li, Daniela Seminara, Stephen J. Chanock, Jian Gong, Ulrike Peters, Stephen B. Gruber, Christopher I. Amos, Thomas A. Sellers, Douglas F. Easton, David J. Hunter, Christopher A. Haiman, Brian E. Henderson, Rayjean J. Hung
Chizu Tanikawa, Yoichiro Kamatani, Osamu Toyoshima, Hiromi Sakamoto, Hidemi Ito, Atsushi Takahashi, Yukihide Momozawa, Makoto Hirata, Nobuo Fuse, Takako Takai‐Igarashi, Atsushi Shimizu, Makoto Sasaki, Taiki Yamaji, Norie Sawada, Motoki Iwasaki, Shoichiro Tsugane, Mariko Naito, Asahi Hishida, Kenji Wakai, Norihiro Furusyo, Yoshinori Murakami, Yusuke Nakamura, Issei Imoto, Johji Inazawa, Isao Oze, Naomi Sato, Fumihiko Tanioka, Haruhiko Sugimura, Hiroshi Hirose, Teruhiko Yoshida, Keitaro Matsuo, Michiaki Kubo, Koichi Matsuda
Carissa C. Jones, Yuki Bradford, Christopher I. Amos, William J. Blot, Stephen J. Chanock, Curtis C. Harris, Ann G. Schwartz, Margaret R. Spitz, John K. Wiencke, Margaret R. Wrensch, Xifeng Wu, Melinda C. Aldrich