Literature DB >> 15239900

High throughput genotyping technologies.

Andrew M Dearlove1.   

Abstract

A comprehensive genetic map containing several hundred microsatellite markers resulted from a large microsatellite mapping project. This was the first real study that introduced high throughput methods to the genetic community. This map and the concurrent technological advances, which will briefly be reviewed, led to further numerous mapping investigations of simple and complex diseases. The annotated draft sequence of approximately three billion base pairs (bp) of the human genome has been completed much sooner than many imagined, due to considerable technological advancements and the international enterprise that resulted. This was a major development for the genetics community, but is only the precursor to the next phase of studying and understanding the variation within the human genome. The awareness of the differences may help us understand the effects on the genetics of the variation between individuals and disease. It is these variations at the nucleotide level that determine the physiological differences, or phenotypes of each individual, including all biological functions at the cellular and body level. Single nucleotide polymorphisms (SNPs) will provide the next high density map, and be the genetic tool to study these genetic variations. There are many sources of SNPs and exhaustive numbers of methods of SNP detection to be considered. The focus in this paper will be on the merits of selected, varied SNP typing methodologies that are emerging to genotype many individuals with the required huge number of SNPs to make the study of complex diseases and pharmacogenomics a practical and economically viable option.

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Year:  2002        PMID: 15239900     DOI: 10.1093/bfgp/1.2.139

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  7 in total

1.  A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set.

Authors:  Tara C Matise; Ravi Sachidanandam; Andrew G Clark; Leonid Kruglyak; Ellen Wijsman; Jerzy Kakol; Steven Buyske; Buena Chui; Patrick Cohen; Claudia de Toma; Margaret Ehm; Stephen Glanowski; Chunsheng He; Jeremy Heil; Kyriacos Markianos; Ivy McMullen; Margaret A Pericak-Vance; Arkadiy Silbergleit; Lincoln Stein; Michael Wagner; Alexander F Wilson; Jeffrey D Winick; Emily S Winn-Deen; Carl T Yamashiro; Howard M Cann; Eric Lai; Arthur L Holden
Journal:  Am J Hum Genet       Date:  2003-07-03       Impact factor: 11.025

2.  Cell-based Models for Discovery of Pharmacogenomic Markers of Anticancer Agent Toxicity.

Authors:  Wei Zhang; R Stephanie Huang; M Eileen Dolan
Journal:  Trends Cancer Res       Date:  2008

3.  Channel glass-based detection of human short insertion/deletion polymorphisms by tandem hybridization.

Authors:  Gabriel Betanzos-Cabrera; Brent W Harker; Mitchel J Doktycz; James L Weber; Kenneth L Beattie
Journal:  Mol Biotechnol       Date:  2007-10-12       Impact factor: 2.695

4.  Integrating Epigenomics into Pharmacogenomic Studies.

Authors:  Wei Zhang; R Stephanie Huang; M Eileen Dolan
Journal:  Pharmgenomics Pers Med       Date:  2008-11

5.  A comparison of hybridization efficiency between flat glass and channel glass solid supports.

Authors:  Gabriel Betanzos-Cabrera; Brent W Harker; Mitchel J Doktycz; James L Weber; Kenneth L Beattie
Journal:  Mol Biotechnol       Date:  2007-09-06       Impact factor: 2.695

6.  A high density linkage map of the bovine genome.

Authors:  Juan A Arias; Mike Keehan; Paul Fisher; Wouter Coppieters; Richard Spelman
Journal:  BMC Genet       Date:  2009-04-24       Impact factor: 2.797

7.  Automated stomata detection in oil palm with convolutional neural network.

Authors:  Qi Bin Kwong; Yick Ching Wong; Phei Ling Lee; Muhammad Syafiq Sahaini; Yee Thung Kon; Harikrishna Kulaveerasingam; David Ross Appleton
Journal:  Sci Rep       Date:  2021-07-26       Impact factor: 4.379

  7 in total

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