Literature DB >> 12436191

SNP alleles in human disease and evolution.

Barkur S Shastry1.   

Abstract

In two randomly selected human genomes, 99.9% of the DNA sequence is identical. The remaining 0.1% of DNA contains sequence variations. The most common type of such variation is called a single-nucleotide polymorphism, or SNP. SNPs are highly abundant, stable, and distributed throughout the genome. These variations are associated with diversity in the population, individuality, susceptibility to diseases, and individual response to medicine. Recently, it has been suggested that SNPs can be used for homogeneity testing and pharmacogenetic studies and to identify and map complex, common diseases such as high blood pressure, diabetes, and heart disease. Consistent with this proposal is the identification of the patterns of SNPs in conditions such as diabetes, schizophrenia, and blood-pressure homeostasis. Although these studies have provided insight into the nature of human sequence variation, it is not known at present whether these variations are truly significant toxicologically and pharmacologically. Moreover, it is possible that most complex, common disorders are caused by the combined effects of multigenes and nongenetic environmental factors (multifactorial). Therefore, it is likely that sequence variation alone is not sufficient to predict the risk of disease susceptibility, particularly in homeostatic organisms like humans. Nevertheless, these variants may provide a starting point for further inquiry.

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Year:  2002        PMID: 12436191     DOI: 10.1007/s100380200086

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  104 in total

1.  A chromosome 19 locus positively influences the number of retrieved oocytes during stimulated cycles in Brazilian women.

Authors:  Amanda Souza Setti; Sylvia Sanches Cortezzi; Rita de Cássia S Figueira; Ciro Dresch Martinhago; Daniela Paes de Almeida Ferreira Braga; Assumpto Iaconelli; Edson Borges
Journal:  J Assist Reprod Genet       Date:  2012-03-10       Impact factor: 3.412

2.  Nucleotide sequence-based multitarget identification.

Authors:  T Vinayagamoorthy; Kirk Mulatz; Roger Hodkinson
Journal:  J Clin Microbiol       Date:  2003-07       Impact factor: 5.948

3.  Association of PTEN gene polymorphisms with liver cancer risk.

Authors:  Hong-Guang Li; Fang-Feng Liu; Hua-Qiang Zhu; Xu Zhou; Jun Lu; Hong Chang; Jin-Hua Hu
Journal:  Int J Clin Exp Pathol       Date:  2015-11-01

4.  The impact of SNPs on the interpretation of SAGE and MPSS experimental data.

Authors:  Ana Paula M Silva; Jorge E S De Souza; Pedro A F Galante; Gregory J Riggins; Sandro J De Souza; Anamaria A Camargo
Journal:  Nucleic Acids Res       Date:  2004-11-23       Impact factor: 16.971

Review 5.  Metallo-intercalators and metallo-insertors.

Authors:  Brian M Zeglis; Valerie C Pierre; Jacqueline K Barton
Journal:  Chem Commun (Camb)       Date:  2007-09-20       Impact factor: 6.222

Review 6.  Metabolic syndrome components in murine models.

Authors:  Heather A Lawson; James M Cheverud
Journal:  Endocr Metab Immune Disord Drug Targets       Date:  2010-03       Impact factor: 2.895

Review 7.  Hepatitis-related hepatocellular carcinoma: Insights into cytokine gene polymorphisms.

Authors:  Mahmoud Fathy Dondeti; Eman Anwar El-Maadawy; Roba Mohamed Talaat
Journal:  World J Gastroenterol       Date:  2016-08-14       Impact factor: 5.742

8.  Single nucleotide polymorphisms in the CDH17 gene of colorectal carcinoma.

Authors:  Ren-Yin Chen; Juan-Juan Cao; Juan Chen; Jian-Ping Yang; Xiao-Bo Liu; Guo-Qiang Zhao; Yu-Feng Zhang
Journal:  World J Gastroenterol       Date:  2012-12-28       Impact factor: 5.742

9.  Hypercholesterolemia associated with splice-junction variation of inter-alpha-trypsin inhibitor heavy chain 4 (ITIH4) gene.

Authors:  Yuko Fujita; Yoichi Ezura; Mitsuru Emi; Keiko Sato; Daisuke Takada; Yasuhiko Iino; Yasuo Katayama; Kaneo Takahashi; Kouhei Kamimura; Hideaki Bujo; Yasushi Saito
Journal:  J Hum Genet       Date:  2003-12-06       Impact factor: 3.172

10.  Improved resolution haplogroup G phylogeny in the Y chromosome, revealed by a set of newly characterized SNPs.

Authors:  Lynn M Sims; Dennis Garvey; Jack Ballantyne
Journal:  PLoS One       Date:  2009-06-04       Impact factor: 3.240

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