• Register
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.


Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.


Identifying relationships among genomic disease regions: predicting genes at pathogenic SNP associations and rare deletions.

Translating a set of disease regions into insight about pathogenic mechanisms requires not only the ability to identify the key disease genes within them, but also the biological relationships among those key genes. Here we describe a statistical method, Gene Relationships Among Implicated Loci (GRAIL), that takes a list of disease regions and automatically assesses the degree of relatedness of implicated genes using 250,000 PubMed abstracts. We first evaluated GRAIL by assessing its ability to identify subsets of highly related genes in common pathways from validated lipid and height SNP associations from recent genome-wide studies. We then tested GRAIL, by assessing its ability to separate true disease regions from many false positive disease regions in two separate practical applications in human genetics. First, we took 74 nominally associated Crohn's disease SNPs and applied GRAIL to identify a subset of 13 SNPs with highly related genes. Of these, ten convincingly validated in follow-up genotyping; genotyping results for the remaining three were inconclusive. Next, we applied GRAIL to 165 rare deletion events seen in schizophrenia cases (less than one-third of which are contributing to disease risk). We demonstrate that GRAIL is able to identify a subset of 16 deletions containing highly related genes; many of these genes are expressed in the central nervous system and play a role in neuronal synapses. GRAIL offers a statistically robust approach to identifying functionally related genes from across multiple disease regions--that likely represent key disease pathways. An online version of this method is available for public use (http://www.broad.mit.edu/mpg/grail/).

Pubmed ID: 19557189


  • Raychaudhuri S
  • Plenge RM
  • Rossin EJ
  • Ng AC
  • International Schizophrenia Consortium
  • Purcell SM
  • Sklar P
  • Scolnick EM
  • Xavier RJ
  • Altshuler D
  • Daly MJ


PLoS genetics

Publication Data

June 26, 2009

Associated Grants

  • Agency: NIAMS NIH HHS, Id: 1K08AR055688-01A1
  • Agency: NIAMS NIH HHS, Id: K08 AR055688
  • Agency: NIAMS NIH HHS, Id: K08 AR055688-01A1
  • Agency: NIDDK NIH HHS, Id: P30 DK040561
  • Agency: NIDDK NIH HHS, Id: P30 DK040561-14
  • Agency: NIDDK NIH HHS, Id: R01 DK083759
  • Agency: NIGMS NIH HHS, Id: T32 GM007753
  • Agency: NIAMS NIH HHS, Id: T32AR007530-23
  • Agency: NHGRI NIH HHS, Id: U01HG004171

Mesh Terms

  • Crohn Disease
  • Databases, Genetic
  • Gene Deletion
  • Genome, Human
  • Genome-Wide Association Study
  • Genomics
  • Humans
  • Meta-Analysis as Topic
  • Polymorphism, Single Nucleotide
  • Schizophrenia