Detecting genetic association through shortest paths in a bidirected graph

Author:

Ueki Masao1,Kawasaki Yoshinori2,Tamiya Gen3,

Affiliation:

1. Biostatistics Center; Kurume University; Fukuoka Japan

2. Department of Statistical Modeling; The Institute of Statistical Mathematics, The Graduate University for Advanced Studies; Tachikawa Tokyo Japan

3. Statistical Genetics and Genomics, Tohoku Medical Megabank Organization; Tohoku University; Aoba-Ku Sendai Japan

Funder

National Institutes of Health

DODADNI

National Institute on Aging

National Institute of Biomedical Imaging and Bioengineering

AbbVie

Alzheimer's Association

Alzheimer's Drug Discovery Foundation

Araclon Biotech

BioClinica

Biogen

Bristol-Myers Squibb

CereSpir, Inc.

Eisai Inc.

Elan Pharmaceuticals, Inc.

EliLilly and Company

EuroImmun

F. Hoffmann-La Roche

Genentech

Fujirebio Europe

GE Healthcare

IXICO Ltd.

Janssen Alzheimer Immunotherapy Research & Development, LLC

Johnson & Johnson Pharmaceutical Research & Development LLC

Lumosity

Lundbeck

Merck

Meso Scale Diagnostics

NeuroRx Research

Neurotrack Technologies

Novartis Pharmaceuticals Corporation

Pfizer

Piramal Imaging

Servier

Takeda Pharmaceutical Company

Transition Therapeutics

Canadian Institutes of Health Research

Foundation for the National Institutes of Health

Northern California Institute for Research and Education

Laboratory for Neuro Imaging at the University of Southern California

Japan Society for the Promotion of Science

Alzheimer’s Disease Neuroimaging Initiative

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Reference33 articles.

1. Csardi , G. Nepusz , T. 2006 The igraph software package for complex network research http://igraph.org

2. Efficiency and power in genetic association studies;Bakker;Nature Genetics,2005

3. Multiple testing and error control in Gaussian graphical model selection;Drton;Statistical Science,2007

4. Likelihood-based association analysis for nuclear families and unrelated subjects with missing genotype data;Dudbridge;Human Heredity,2008

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