Results 11 to 20 of about 526,264 (266)

Multiple Testing for SNP-SNP Interactions [PDF]

Statistical Applications in Genetics and Molecular Biology, 2007
Most genetic diseases are complex, i.e. associated to combinations of SNPs rather than individual SNPs. In the last few years, this topic has often been addressed in terms of SNP-SNP interaction patterns given as expressions linked by logical operators.
Anne-Laure, Boulesteix, Carolin, Strobl, Stefan, Weidinger, H-Erich, Wichmann, Stefan, Wagenpfeil   +4 more
openaire   +2 more sources

SNP-Flankplus: SNP ID-centric retrieval for SNP flanking sequences [PDF]

Bioinformation, 2008
The flanking sequences provided by dbSNP of NCBI are usually short and fixed length without further extension, thus making the design of appropriate PCR primers difficult. Here, we introduce a tool named "SNP-Flankplus" to provide a web environment for retrieval of SNP flanking sequences from both the dbSNP and the nucleotide databases of NCBI. Two SNP
Cheng-Hong, Yang, Yu-Huei, Cheng, Li-Yeh, Chuang, Hsueh-Wei, Chang   +3 more
openaire   +2 more sources

SNP-VISTA: An interactive SNP visualization tool [PDF]

BMC Bioinformatics, 2005
Abstract Background Recent advances in sequencing technologies promise to provide a better understanding of the genetics of human disease as well as the evolution of microbial populations. Single Nucleotide Polymorphisms (SNPs) are established genetic markers that aid in the identification of loci affecting quantitative ...
Shah, Nameeta, Teplitsky, Michael V., Minovitsky, Simon, Pennacchio, Len A., Hugenholtz, Philip, Hamann, Bernd, Dubchak, Inna L.   +6 more
openaire   +5 more sources

SNP-SNP interactions in breast cancer susceptibility [PDF]

BMC Cancer, 2006
AbstractBackgroundBreast cancer predisposition genes identified to date (e.g., BRCA1 and BRCA2) are responsible for less than 5% of all breast cancer cases. Many studies have shown that the cancer risks associated with individual commonly occurring single nucleotide polymorphisms (SNPs) are incremental.
Onay, Venüs Ü, Briollais, Laurent, Knight, Julia A, Shi, Ellen, Wang, Yuanyuan, Wells, Sean, Li, Hong, Rajendram, Isaac, Andrulis, Irene L, Ozcelik, Hilmi   +9 more
openaire   +4 more sources

SNP-PHAGE – High throughput SNP discovery pipeline [PDF]

BMC Bioinformatics, 2006
AbstractBackgroundSingle nucleotide polymorphisms (SNPs) as defined here are single base sequence changes or short insertion/deletions between or within individuals of a given species. As a result of their abundance and the availability of high throughput analysis technologies SNP markers have begun to replace other traditional markers such as ...
Matukumalli, Lakshmi K., Grefenstette, John J., Hyten, David L., Choi, Ik-Young, Cregan, Perry B., Van Tassell, Curt P.   +5 more
openaire   +3 more sources

Population genetic structure, linkage disequilibrium and effective population size of conserved and extensively raised village chicken populations of Southern Africa

Frontiers in Genetics, 2015
Extensively raised village chickens are considered a valuable source of biodiversity, with genetic variability developed over thousands of years that ought to be characterised and utilized.
Khulekhani Sedwell Khanyile, Khulekhani Sedwell Khanyile, Edgar Farai Dzomba, Farai Catherine Muchadeyi   +3 more
doaj   +1 more source

New genetic markers for Burkholderia pseudomallei strains typing

Инфекция и иммунитет, 2022
Burkholderia pseudomallei is the causative agent of melioidosis, a serious infectious disease in humans and animals that may be asymptomatic long-term and quickly develop to pneumonia and septicemia in immunocompromised state and due to predisposing ...
Margarita L. Ledenyova, Galina A. Tkachenko, Irina B. Zakharova   +2 more
doaj   +1 more source

SNP Arrays [PDF]

Microarrays, 2016
The papers published in this Special Issue “SNP arrays” (Single Nucleotide Polymorphism Arrays) focus on several perspectives associated with arrays of this type. The range of papers vary from a case report to reviews, thereby targeting wider audiences working in this field. The research focus of SNP arrays is often human cancers but this Issue expands
openaire   +2 more sources

A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms [PDF]

, 2004
We describe a genetic variation map for the chicken genome containing 2.8 million single-nucleotide polymorphisms ( SNPs). This map is based on a comparison of the sequences of three domestic chicken breeds ( a broiler, a layer and a Chinese silkie) with
Aerts, Andrea, Andersson, Björn, Andersson, Leif, Bartley, Neil, Boardman, Paul E, Bovenhuis, Henk, Brandström, Mikael, Bumstead, Nat, Burt, David W, Chen, Chen, Chen, Jie, Cheng, Hans H, Consortium, International Chicken Polymorphism Map, Crooijmans, Richard P M A, Dai, Mingtao, de Koning, Dirk-Jan, Dong, Le, Dong, Wei, Ellegren, Hans, Glavina, Tijana, Gordon, Laurie, Groenen, Martien A M, Gunnarsson, Ulrika, Hao, Bailin, He, Dandan, He, Ximiao, Hillier, Ladeana W, Hocking, Paul M, Hu, Songnian, Huang, Xiangang, Huang, Yanqing, Hubbard, Simon J, Hunt, Henry, Kaiser, Pete, Kaufman, Jim, Kindlund, Ellen, Lamont, Susan J, Lan, Fengdi, Law, Andy, Li, Dawei, Li, Guangyuan, Li, Guoqing, Li, Heng, Li, Jun, Li, Ning, Li, Ruiqiang, Li, Shengting, Li, Songgang, Li, Wenjie, Li, Yuanzhe, Lin, Wei, Liu, Bin, Lucas, Susan, Meng, Qingshun, Morrice, David, Ni, Peixiang, Ovcharenko, Ivan, Overton, Ian M, Ponting, Chris, Qi, Qiuhui, Ran, Longhua, Rogers, Sally, Rothwell, Lisa, Ruan, Jue, Shi, Jianping, Stubbs, Lisa, Sun, Yongqiao, Tammi, Martti T, Tang, Haizhou, Tong, Wei, van der Poel, Jan J, van Hateren, Andy, Wahlberg, Per, Walker, Brian A, Wang, Jian, Wang, Jianjun, Wang, Jing, Wang, Jun, Wang, Miaoheng, Wang, Pei, Wang, Xiaoling, Warren, Wesley C, Webber, Caleb, Wei, Dong Qing, Wei, Ning, Wilson, Richard K, Wilson, Stuart A, Wong, Gane Ka-Shu, Xi, Yan, Xie, Fei, Yang, Huanming, Yang, Ning, Yang, Shiaw-Pyng, Yang, Xu, Yang, Zheng, Ye, Chen, Ye, Jia, Young, John R, Yu, Jun, Yu, Yingpu, Zeng, Changqing, Zhang, Jianguo, Zhang, Jingjing, Zhang, Xiaowei, Zhang, Yunze, Zhang, Zengjin, Zhang, Zhenpeng, Zhang, Zhi-Yong, Zhao, Wenming, Zhao, Yiqiang, Zheng, Hongkun, Zheng, Weimou, Zhou, Huaijun, Zhou, Jun, Zhou, Yan   +114 more
core   +3 more sources

Germline genetic variation in prostate susceptibility does not predict outcomes in the chemoprevention trials PCPT and SELECT [PDF]

, 2020
Background The development of prostate cancer can be influenced by genetic and environmental factors. Numerous germline SNPs influence prostate cancer susceptibility.
Ahmed, M, Cieza-Borrella, C, Eeles, R, Goh, C, Kote-Jarai, Z, PRACTICAL consortium, Saunders, E, Schumacher, FR   +7 more
core   +2 more sources