Literature DB >> 10391209

Characterization of single-nucleotide polymorphisms in coding regions of human genes.

M Cargill1, D Altshuler, J Ireland, P Sklar, K Ardlie, N Patil, N Shaw, C R Lane, E P Lim, N Kalyanaraman, J Nemesh, L Ziaugra, L Friedland, A Rolfe, J Warrington, R Lipshutz, G Q Daley, E S Lander.   

Abstract

A major goal in human genetics is to understand the role of common genetic variants in susceptibility to common diseases. This will require characterizing the nature of gene variation in human populations, assembling an extensive catalogue of single-nucleotide polymorphisms (SNPs) in candidate genes and performing association studies for particular diseases. At present, our knowledge of human gene variation remains rudimentary. Here we describe a systematic survey of SNPs in the coding regions of human genes. We identified SNPs in 106 genes relevant to cardiovascular disease, endocrinology and neuropsychiatry by screening an average of 114 independent alleles using 2 independent screening methods. To ensure high accuracy, all reported SNPs were confirmed by DNA sequencing. We identified 560 SNPs, including 392 coding-region SNPs (cSNPs) divided roughly equally between those causing synonymous and non-synonymous changes. We observed different rates of polymorphism among classes of sites within genes (non-coding, degenerate and non-degenerate) as well as between genes. The cSNPs most likely to influence disease, those that alter the amino acid sequence of the encoded protein, are found at a lower rate and with lower allele frequencies than silent substitutions. This likely reflects selection acting against deleterious alleles during human evolution. The lower allele frequency of missense cSNPs has implications for the compilation of a comprehensive catalogue, as well as for the subsequent application to disease association.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10391209     DOI: 10.1038/10290

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  452 in total

Review 1.  SNPing away at innate immunity.

Authors:  S J Chanock; C B Foster
Journal:  J Clin Invest       Date:  1999-08       Impact factor: 14.808

2.  Identification of candidate coding region single nucleotide polymorphisms in 165 human genes using assembled expressed sequence tags.

Authors:  K Garg; P Green; D A Nickerson
Journal:  Genome Res       Date:  1999-11       Impact factor: 9.043

3.  Robust and accurate single nucleotide polymorphism genotyping by dynamic allele-specific hybridization (DASH): design criteria and assay validation.

Authors:  J A Prince; L Feuk; W M Howell; M Jobs; T Emahazion; K Blennow; A J Brookes
Journal:  Genome Res       Date:  2001-01       Impact factor: 9.043

4.  A SNP resource for human chromosome 22: extracting dense clusters of SNPs from the genomic sequence.

Authors:  E Dawson; Y Chen; S Hunt; L J Smink; A Hunt; K Rice; S Livingston; S Bumpstead; R Bruskiewich; P Sham; R Ganske; M Adams; K Kawasaki; N Shimizu; S Minoshima; B Roe; D Bentley; I Dunham
Journal:  Genome Res       Date:  2001-01       Impact factor: 9.043

5.  A cSNP map and database for human chromosome 21.

Authors:  S Deutsch; C Iseli; P Bucher; S E Antonarakis; H S Scott
Journal:  Genome Res       Date:  2001-02       Impact factor: 9.043

6.  ALFRED: an allele frequency database for diverse populations and DNA polymorphisms--an update.

Authors:  M V Osier; K H Cheung; J R Kidd; A J Pakstis; P L Miller; K K Kidd
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

7.  Multiplex allele-specific target amplification based on PCR suppression.

Authors:  N E Broude; L Zhang; K Woodward; D Englert; C R Cantor
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-02       Impact factor: 11.205

Review 8.  The genetics of type 2 diabetes.

Authors:  M McCarthy; S Menzel
Journal:  Br J Clin Pharmacol       Date:  2001-03       Impact factor: 4.335

9.  Homogeneous assays for single-nucleotide polymorphism typing using AlphaScreen.

Authors:  L Beaudet; J Bédard; B Breton; R J Mercuri; M L Budarf
Journal:  Genome Res       Date:  2001-04       Impact factor: 9.043

10.  Including biological literature improves homology search.

Authors:  J T Chang; S Raychaudhuri; R B Altman
Journal:  Pac Symp Biocomput       Date:  2001
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.