Title
Medline search engine for finding genetic markers with biological significance.
Abstract
Genome-wide high density SNP association studies are expected to identify various SNP alleles associated with different complex disorders. Understanding the biological significance of these SNP alleles in the context of existing literature is a major challenge since existing search engines are not designed to search literature for SNPs or other genetic markers. The literature mining of gene and protein functions has received significant attention and effort while similar work on genetic markers and their related diseases is still in its infancy. Our goal is to develop a web-based tool that facilitates the mining of Medline literature related to genetic studies and gene/protein function studies. Our solution consists of four main function modules for (1) identification of different types of genetic markers or genetic variations in Medline records (2) distinguishing positive versus negative linkage or association between genetic markers and diseases (3) integrating marker genomic location data from different databases to enable the retrieval of Medline records related to markers in the same linkage disequilibrium region (4) and a web interface called MarkerInfoFinder to search, display, sort and download Medline citation results. Tests using published data suggest MarkerInfoFinder can significantly increase the efficiency of finding genetic disorders and their underlying molecular mechanisms. The functions we developed will also be used to build a knowledge base for genetic markers and diseases.The MarkerInfoFinder is publicly available at: http://brainarray.mbni.med.umich.edu/brainarray/datamining/MarkerInfoFinder.
Year
DOI
Venue
2007
10.1093/bioinformatics/btm375
Bioinformatics
Keywords
Field
DocType
genome-wide high density snp,biological significance,genetic marker,medline literature,markerinfofinder contact,genetic study,medline search engine,medline record,literature mining,genetic disorder,medline citation result,genetic variation,search engine,genetics,molecular mechanics,knowledge base,web interface,linkage disequilibrium
Allele,Linkage disequilibrium,Biology,Genetic variation,Genetic association,Single-nucleotide polymorphism,Bioinformatics,MEDLINE,SNP,Genetic marker
Journal
Volume
Issue
ISSN
23
18
1367-4811
Citations 
PageRank 
References 
4
0.45
17
Authors
4
Name
Order
Citations
PageRank
Weijian Xuan1574.23
Pinglang Wang2292.53
Stanley J Watson3292.53
Fan Meng411410.82