Results 21 to 30 of about 201,829 (351)

Genotyping by genome reducing and sequencing for outbred animals. [PDF]

PLoS ONE, 2013
Next-generation sequencing (NGS) approaches are widely used in genome-wide genetic marker discovery and genotyping. However, current NGS approaches are not easy to apply to general outbred populations (human and some major farm animals) for SNP ...
Qiang Chen, Yufang Ma, Yumei Yang, Zhenliang Chen, Rongrong Liao, Xiaoxian Xie, Zhen Wang, Pengfei He, Yingying Tu, Xiangzhe Zhang, Changsuo Yang, Hongjie Yang, Fuqing Yu, Youmin Zheng, Zhiwu Zhang, Qishan Wang, Yuchun Pan   +16 more
doaj   +1 more source

Automated SNP genotype clustering algorithm to improve data completeness in high-throughput SNP genotyping datasets from custom arrays [PDF]

, 2007
High-throughput SNP genotyping platforms use automated genotype calling algorithms to assign genotypes. While these algorithms work efficiently for individual platforms, they are not compatible with other platforms, and have individual biases that result
Edward M. Smith, Hardenbol, Hardenbol, Hua, Huentelman, Jack Littrell, Kissebah, Lamy, Liu, McPeek, Michael Olivier, Olivier, Rabbee, Smith, Sonnenberg, Xiao   +15 more
core   +2 more sources

A nanoliter fluidic platform for large-scale single nucleotide polymorphism genotyping

BioTechniques, 2009
Discovery, evaluation, and understanding the biological relevance of single nucleotide polymorphisms (SNPs) and their associated phenotypes is relevant to many applications, including human disease diagnostics, pathogen detection, and identification of ...
Douglas G. Roberts, Tom B. Morrison, Shau Neen Liu-Cordero, Jamie Cho, Javier Garcia, Tanya S. Kanigan, Kevin Munnelly, Colin J.H. Brenan   +7 more
doaj   +1 more source

Development of STARP Marker Platform for Flexible SNP Genotyping in Sugarbeet

Agronomy, 2023
Single nucleotide polymorphisms (SNPs) have been widely used for gene identification. Allelic discrimination for an individual SNP with high reliability and flexibility is critical for the accurate detection of beneficial genes linked to specific SNP ...
Muhammad Massub Tehseen, Yaojie Zheng, Nathan A. Wyatt, Melvin D. Bolton, Shengming Yang, Steven S. Xu, Xuehui Li, Chenggen Chu   +7 more
doaj   +1 more source

Forensic SNP genotyping using nanopore MinION sequencing [PDF]

, 2017
One of the latest developments in next generation sequencing is the Oxford Nanopore Technologies' (ONT) MinION nanopore sequencer. We studied the applicability of this system to perform forensic genotyping of the forensic female DNA standard 9947 A using
Cornelis, Senne, Deforce, Dieter, Deleye, Lieselot, Gansemans, Yannick, Van Nieuwerburgh, Filip   +4 more
core   +2 more sources

Unifying candidate gene and GWAS Approaches in Asthma. [PDF]

, 2010
The first genome wide association study (GWAS) for childhood asthma identified a novel major susceptibility locus on chromosome 17q21 harboring the ORMDL3 gene, but the role of previous asthma candidate genes was not specifically analyzed in this GWAS ...
Berg, Andrea von, Bufe, Albrecht, Depner, Martin, Frischer, Thomas, Genuneit, Jon, Gut, Ivo G., Heinzmann, Andrea, Illig, Thomas, Kabesch, Michael, Klopp, Norman, Kumar, Ashish, Lathrop, Mark, Laub, Otto, Liang, Liming, Michel, Sven, Mutius, Erika von, Rietschel, Ernst, Ruether, Andreas, Schedel, Michaela, Schreiber, Stefan, Simma, Burkhard, Vogelberg, Christian   +21 more
core   +11 more sources

Effect of genotyping error in model-free linkage analysis using microsatellite or single-nucleotide polymorphism marker maps [PDF]

, 2005
Errors while genotyping are inevitable and can reduce the power to detect linkage. However, does genotyping error have the same impact on linkage results for single-nucleotide polymorphism (SNP) and microsatellite (MS) marker maps?
Baechle, Dan, Goddard, Katrina AB, Gray-McGuire, Courtney, Iyengar, Sudha K, Lu, Qing, Mathew, George, Song, Yeunjoo, Thompson, Cheryl L   +7 more
core   +2 more sources

Comparison of PrASE and Pyrosequencing for SNP Genotyping [PDF]

BMC Genomics, 2006
Abstract Background There is an imperative need for SNP genotyping technologies that are cost-effective per sample with retained high accuracy, throughput and flexibility. We have developed a microarray-based technique and compared it to Pyrosequencing.
Marie-Louise Persson, Max Käller, Max Käller, Kristina Holmberg, Jacob Odeberg, Jacob Odeberg, Emilie Hultin, Joakim Lundeberg, Afshin Ahmadian   +8 more
openaire   +3 more sources

Effect of Combining Multiple CNV Defining Algorithms on the Reliability of CNV Calls from SNP Genotyping Data [PDF]

Genomics & Informatics, 2012
In addition to single-nucleotide polymorphisms (SNP), copy number variation (CNV) is a major component of human genetic diversity. Among many whole-genome analysis platforms, SNP arrays have been commonly used for genomewide CNV discovery.
Soon-Young Kim, Ji-Hong Kim, Yeun-Jun Chung   +2 more
doaj   +1 more source

Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization. [PDF]

, 2013
The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially ...
Abecasis, GR, Ackerman, MJ, Adamkova, V, Alonso, A, Arking, DE, Arnar, DO, Asselbergs, FW, Bader, JS, Barc, J, Bardai, A, Beckmann, BM, Behr, ER, Bezzina, CR, Bis, JC, Bobbo, M, Boyer, LA, Bradford, Y, Brandimarto, J, Brion, M, Brown, M, Campbell, H, Cappola, TP, CARe Consortium, Carella, M, Carracedo, A, Caulfield, MJ, Chakravarti, A, Chatel, S, COGENT Consortium, Crotti, L, Cummings, SR, D'Adamo, AP, Dalageorgou, C, Daly, MJ, DCCT/EDIC, de Bakker, PI, de Boer, RA, del Greco M, F, den Hoed, M, Denny, JC, Dominiczak, AF, Dörr, M, Ehret, G, Eijgelsheim, M, Eisele, L, El Mokhtari, NE, Ellinghaus, D, eMERGE Consortium, Emilsson, V, Erbel, R, Evans, DS, Felix, SB, Ferrucci, L, Franco, OH, Franke, A, Franke, L, Frey, N, Fuchsberger, C, Gasparini, P, Ghidoni, A, Gieger, C, Giudicessi, JR, Greiser, KH, Griffin, M, Gudbjartsson, DF, Gudnason, V, Gustafsson, S, Haerting, J, Hamilton, RM, Harris, TB, Hayward, C, Heckbert, SR, Hicks, AA, Hingorani, AD, Hoffmann, P, Hofman, A, Hofman, N, HRGEN Consortium, Huang, H, Hubacek, JA, Hólm, H, Ingelsson, E, Insolia, R, Iorio, A, Isaacs, A, Jamshidi, Y, Johnson, AD, Jula, A, Jöckel, KH, Kao, WH, Kedenko, L, Kellis, M, Kiechl, S, Kivimaki, M, Kluttig, A, Knoflach, M, Kolcic, I, Kontula, KK, Koopmann, TT, Kors, JA, Krijthe, BP, Kronenberg, F, Kumar, RD, Kumari, M, Kyndt, F, Kähönen, M, Kälsch, H, Kääb, S, Lage, K, Lahtinen, AM, Lakatta, EG, Lamina, C, Larson, MG, Launer, LJ, Lee, WK, Lehtimäki, TJ, Lind, L, Liu, Y, Loos, RJ, Lundby, A, Lyytikäinen, LP, Macfarlane, PW, Margulies, K, Marjamaa, A, Markus, MR, Martens, E, Mateo Leach, I, Medeiros-Domingo, A, Meitinger, T, Meyer Zu Schwabedissen, H, Mononen, N, Moravec, CE, Morley, M, Morris, RW, Mulas, A, Munroe, PB, Mühleisen, TW, Müller-Nurasyid, M, Nalls, MA, Naluai, ÅT, Navarro, P, Navis, G, Newhouse, SJ, Newton-Cheh, C, Nicolaides, AN, Nolte, IM, Noseworthy, PA, Nyberg, F, Nöthen, MM, O'Connell, JR, O'Donnell, CJ, Oikarinen, L, Olsen, JV, Oostra, BA, Orrú, M, Padmanabhan, S, Panayiotou, AG, Parsa, A, Paterson, AD, Paulweber, B, Perola, M, Perz, S, Peters, A, Pfeufer, A, Plump, AS, Polašek, O, Porthan, K, Post, WS, Pramstaller, PP, Probst, V, Prucha, H, Psaty, BM, Pulit, SL, Raitakari, OT, Raychaudhuri, S, Ritchie, MD, Roden, DM, Rossin, EJ, Rotter, JI, Rudan, I, Salomaa, V, Samani, NJ, Sanna, S, Scherer, SW, Schlessinger, D, Schott, JJ, Schwartz, PJ, Shuldiner, AR, Sinagra, G, Sinner, MF, Siscovick, DS, Slowikowski, K, Smith, AV, Smith, JG, Snieder, H, Sotoodehnia, N, Spector, TD, Stefansson, K, Strait, JB, Stricker, BH, Strohmer, B, Sundström, J, Syvänen, AC, Tanaka, T, Tarasov, KV, Tester, DJ, Thelle, DS, Thorsteinsdottir, U, Torres, M, Uda, M, Uitterlinden, AG, Ulivi, S, van den Berg, MP, van der Harst, P, van der Vleuten, PA, van Duijn, CM, van Veldhuisen, DJ, Viikari, JS, Völker, U, Waggott, D, Waldenberger, M, Wang, X, Watt, GC, Werdan, K, Whincup, PH, Wild, SH, Wilde, AA, Willeit, J, Wilson, JF, Witteman, JC, Wright, AF, Yin, X, Zelante, L, Zuvich, RL, Ärnlöv, J   +234 more
core   +6 more sources