The statistical properties of gene-set analysis

[1]  Henning Hermjakob,et al.  The Reactome pathway knowledgebase , 2013, Nucleic Acids Res..

[2]  Ommega Internationals,et al.  Pathway-Based Approaches for Analysis of Genome-Wide Association Studies -A Case Report for Metastatic Small Cell Lung Cancer , 2017 .

[3]  C. Spencer,et al.  A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects: CNV Analysis Group and the Schizophrenia Working Group of the Psychiatric Genomics Consortium , 2016, bioRxiv.

[4]  Henning Hermjakob,et al.  The Reactome pathway Knowledgebase , 2015, Nucleic acids research.

[5]  D. Hunter,et al.  Identification of shared and unique susceptibility pathways among cancers of the lung, breast, and prostate from genome-wide association studies and tissue-specific protein interactions. , 2015, Human molecular genetics.

[6]  P. Sullivan,et al.  Biological pathways and networks implicated in psychiatric disorders , 2015, Current Opinion in Behavioral Sciences.

[7]  Joris M. Mooij,et al.  MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..

[8]  Ross M. Fraser,et al.  Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.

[9]  J. Hirschhorn,et al.  Biological interpretation of genome-wide association studies using predicted gene functions , 2015, Nature Communications.

[10]  J. Nigg,et al.  Functional and genomic context in pathway analysis of GWAS data. , 2014, Trends in genetics : TIG.

[11]  C. Spencer,et al.  Biological Insights From 108 Schizophrenia-Associated Genetic Loci , 2014, Nature.

[12]  Daniel L. Koller,et al.  Identification of pathways for bipolar disorder: a meta-analysis. , 2014, JAMA psychiatry.

[13]  Zhongming Zhao,et al.  Network-assisted analysis to prioritize GWAS results: principles, methods and perspectives , 2014, Human Genetics.

[14]  Cristina Mitrea,et al.  Methods and approaches in the topology-based analysis of biological pathways , 2013, Front. Physiol..

[15]  Simon C. Potter,et al.  Genome-wide Association Analysis Identifies 14 New Risk Loci for Schizophrenia , 2013, Nature Genetics.

[16]  Teri A. Manolio,et al.  Bringing genome-wide association findings into clinical use , 2013, Nature Reviews Genetics.

[17]  Charles E. Vejnar,et al.  Human polymorphism at microRNAs and microRNA target sites. , 2013 .

[18]  Johnny S. H. Kwan,et al.  HYST: a hybrid set-based test for genome-wide association studies, with application to protein-protein interaction-based association analysis. , 2012, American journal of human genetics.

[19]  Gerome Breen,et al.  Common Genetic Variants and Gene-Expression Changes Associated with Bipolar Disorder Are Over-Represented in Brain Signaling Pathway Genes , 2012, Biological Psychiatry.

[20]  Marina Evangelou,et al.  Comparison of Methods for Competitive Tests of Pathway Analysis , 2012, PloS one.

[21]  Patrick F. Sullivan,et al.  Genetic architectures of psychiatric disorders: the emerging picture and its implications , 2012, Nature Reviews Genetics.

[22]  Colm O'Dushlaine,et al.  INRICH: interval-based enrichment analysis for genome-wide association studies , 2012, Bioinform..

[23]  P. Visscher,et al.  Five years of GWAS discovery. , 2012, American journal of human genetics.

[24]  M C O'Donovan,et al.  Functional gene group analysis identifies synaptic gene groups as risk factor for schizophrenia , 2011, Molecular Psychiatry.

[25]  Peter Holmans,et al.  Evaluation of an approximation method for assessment of overall significance of multiple‐dependent tests in a genomewide association study , 2011, Genetic epidemiology.

[26]  Hongsheng Gui,et al.  Comparisons of seven algorithms for pathway analysis using the WTCCC Crohn's Disease dataset , 2011, BMC Research Notes.

[27]  Anders D. Børglum,et al.  Genome-wide association study identifies five new schizophrenia loci , 2011, Nature Genetics.

[28]  Hariklia Eleftherohorinou,et al.  Pathway-driven gene stability selection of two rheumatoid arthritis GWAS identifies and validates new susceptibility genes in receptor mediated signalling pathways. , 2011, Human molecular genetics.

[29]  Peilin Jia,et al.  Gene set analysis of genome-wide association studies: methodological issues and perspectives. , 2011, Genomics.

[30]  H. Hakonarson,et al.  Analysing biological pathways in genome-wide association studies , 2010, Nature Reviews Genetics.

[31]  Ayellet V. Segrè,et al.  Hundreds of variants clustered in genomic loci and biological pathways affect human height , 2010, Nature.

[32]  Ayellet V. Segrè,et al.  Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits , 2010, PLoS genetics.

[33]  Teri A Manolio,et al.  Genomewide association studies and assessment of the risk of disease. , 2010, The New England journal of medicine.

[34]  Peter Kraft,et al.  Pathway analysis of breast cancer genome-wide association study highlights three pathways and one canonical signaling cascade. , 2010, Cancer research.

[35]  P. Holmans Statistical methods for pathway analysis of genome-wide data for association with complex genetic traits. , 2010, Advances in genetics.

[36]  Judy H. Cho,et al.  Pathway analysis comparison using Crohn's disease genome wide association studies , 2010, BMC Medical Genomics.

[37]  Airat Bekmetjev,et al.  Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16 , 2009, BMC proceedings.

[38]  Elizabeth A. Heron,et al.  The SNP ratio test: pathway analysis of genome-wide association datasets , 2009, Bioinform..

[39]  Manuel A. R. Ferreira,et al.  Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder. , 2009, American journal of human genetics.

[40]  C. Wijmenga,et al.  Using genome‐wide pathway analysis to unravel the etiology of complex diseases , 2009, Genetic epidemiology.

[41]  David C. Wilson,et al.  Diverse genome-wide association studies associate the IL12/IL23 pathway with Crohn Disease. , 2009, American journal of human genetics.

[42]  Jason H. Moore,et al.  Pathways-based analyses of whole-genome association study data in bipolar disorder reveal genes mediating ion channel activity and synaptic neurotransmission , 2009, Human Genetics.

[43]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[44]  Simon C. Potter,et al.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.

[45]  M. Daly,et al.  PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes , 2003, Nature Genetics.