NDLI: Network-based model weighting to detect multiple loci influencing complex diseases

Content Provider	Springer Nature Link
Author	Pan, Wei
Copyright Year	2008
Abstract	For genome-wide association studies, it has been increasingly recognized that the popular locus-by-locus search for DNA variants associated with disease susceptibility may not be effective, especially when there are interactions between or among multiple loci, for which a multi-loci search strategy may be more productive. However, even if computationally feasible, a genome-wide search over all possible multiple loci requires exploring a huge model space and making costly adjustment for multiple testing, leading to reduced statistical power. On the other hand, there are accumulating data suggesting that protein products of many disease-causing genes tend to interact with each other, or cluster in the same biological pathway. To incorporate this prior knowledge and existing data on gene networks, we propose a gene network-based method to improve statistical power over that of the exhaustive search by giving higher weights to models involving genes nearby in a network. We use simulated data under realistic scenarios, including a large-scale human protein–protein interaction network and 23 known ataxia-causing genes, to demonstrate potential gain by our proposed method when disease-genes are clustered in a network.
Starting Page	225
Ending Page	234
Page Count	10
File Format	PDF
ISSN	03406717
Journal	Human Genetics
Volume Number	124
Issue Number	3
e-ISSN	14321203
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-08-22
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Metabolic Diseases Gene Function Molecular Medicine Human Genetics
Content Type	Text
Resource Type	Article
Subject	Genetics Genetics (clinical)

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Network-Based Model Weighting to Detect Multiple Loci Influencing Complex Diseases

Partial correlation network analyses to detect altered gene interactions in human disease: using preeclampsia as a model

Vitiligo: complex segregation and linkage disequilibrium analyses with respect to microsatellite loci spanning the HLA

Identification of methylation quantitative trait loci (mQTLs) influencing promoter DNA methylation of alcohol dependence risk genes

Novel phenotypes and loci identified through clinical genomics approaches to pediatric cataract

Network medicine: linking disorders

Regional genomic instability predisposes to complex dystrophin gene rearrangements

Parkinson disease loci in the mid-western Amish

Complex segregation analysis of hypospadias

Network-based model weighting to detect multiple loci influencing complex diseases

Similar Documents

Network-Based Model Weighting to Detect Multiple Loci Influencing Complex Diseases

Partial correlation network analyses to detect altered gene interactions in human disease: using preeclampsia as a model

Vitiligo: complex segregation and linkage disequilibrium analyses with respect to microsatellite loci spanning the HLA

Identification of methylation quantitative trait loci (mQTLs) influencing promoter DNA methylation of alcohol dependence risk genes

Novel phenotypes and loci identified through clinical genomics approaches to pediatric cataract

Network medicine: linking disorders

Regional genomic instability predisposes to complex dystrophin gene rearrangements

Parkinson disease loci in the mid-western Amish

Complex segregation analysis of hypospadias

Network-based model weighting to detect multiple loci influencing complex diseases