Skip to main content

Advertisement

We’d like to understand how you use our websites in order to improve them. Register your interest.

A novel approach to analyzing SNPs

Abstract

PicSNP is a browseable catalog of nonsynonymous single-nucleotide polymorphisms (nsSNPs - that is, base changes that alter the amino-acid sequence) in the human genome

Content

PicSNP is a browseable catalog of nonsynonymous single-nucleotide polymorphisms (nsSNPs - that is, base changes that alter the amino-acid sequence) in the human genome. Out of 1,190,295 SNPs extracted from public databases, 3,793 nsSNPs have been identified among 2,162 genes, and 2,826 nsSNPs (distributed among 1,506 genes) could be connected to 1,247 Gene Ontology categories of function, biological process or cellular components. Of the sites and domains annotated in the SwissProt database, 495 were found to include nsSNPs, including two nsSNPs in disulfide-binding sites and 38 in transmembrane regions. This website would, for example, be useful for searches for SNPs involved in common diseases.

Navigation

The nsSNPs are classified according to the functions of the affected genes and are searchable under the guidance of the Gene Ontology hierarchical listsof protein functions. Amino-acid changes in known functional domains and sites in proteins are highlighted within individual nsSNP records by showing affected amino-acids in red. Also, changes to the nucleotide sequence are easily viewable. Hierarchical lists of functions, together with associated nsSNPs, are implemented in a set of HTML pages that can be explored dynamically with the usual web browsers.

Reporter's comments

Timeliness

All the processes of constructing the catalog, from downloading the public database through creating the HTML pages will be fully automated by locally developed computer programs soon according to the website manager. This will ensure that data are fully coordinated with those of public data sources.

Best feature

The search output provides a brief summary of useful information on each gene identified as that contains an nsSNP, including information such as the biological processes in which the gene is involved (for example, behavior, cell-cell communication, cell growth).

Worst feature

The database is not very well known and it is not yet very extensive.

Related websites

The National Center for Biotechnology Information (NCBI) hosts the general database of single-nucleotide polymorphisms dbSNP. LocusLink and UniGene are useful for finding information about a particular gene or expressed sequence tag (EST).

Table of links

PICSNIP

dbSNP

LocusLink

UniGene

References

Authors

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Lim, C. A novel approach to analyzing SNPs. Genome Biol 3, reports2006 (2001). https://doi.org/10.1186/gb-2001-3-1-reports2006

Download citation

Keywords

  • Gene Ontology
  • Public Database
  • Base Change
  • Ontology Category
  • SwissProt Database