(Q38806240)

6 September 2017

The statistical properties of gene-set analysis (English)

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6 September 2017

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3

Tom Heskes

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Danielle Posthuma

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Danielle Posthuma

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4

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Benjamin M. Neale

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2

object named as

Benjamin M Neale

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6 September 2017

Christiaan A de Leeuw

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1

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6 September 2017

12 April 2016

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6 September 2017

Nature Reviews Genetics

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6 September 2017

17

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6 September 2017

353-364

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6 September 2017

6

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https://scigraph.springernature.com/pub.10.1038/nrg.2016.29

6 September 2017

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PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes

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Pathways-based analyses of whole-genome association study data in bipolar disorder reveal genes mediating ion channel activity and synaptic neurotransmission

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Diverse genome-wide association studies associate the IL12/IL23 pathway with Crohn Disease

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Pathway-driven gene stability selection of two rheumatoid arthritis GWAS identifies and validates new susceptibility genes in receptor mediated signalling pathways

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Pathway analysis of breast cancer genome-wide association study highlights three pathways and one canonical signaling cascade

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Genetic studies of body mass index yield new insights for obesity biology

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Hundreds of variants clustered in genomic loci and biological pathways affect human height

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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

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Comparison of methods for competitive tests of pathway analysis

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Evaluation of an approximation method for assessment of overall significance of multiple-dependent tests in a genomewide association study

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The SNP ratio test: pathway analysis of genome-wide association datasets

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HYST: a hybrid set-based test for genome-wide association studies, with application to protein-protein interaction-based association analysis

31 March 2020

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Common genetic variants and gene-expression changes associated with bipolar disorder are over-represented in brain signaling pathway genes

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Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder

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Common inherited variation in mitochondrial genes is not enriched for associations with type 2 diabetes or related glycemic traits

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Biological interpretation of genome-wide association studies using predicted gene functions

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Functional gene group analysis identifies synaptic gene groups as risk factor for schizophrenia.

31 March 2020

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PubMed

https://pubmed.ncbi.nlm.nih.gov/27070863

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1038/NRG.2016.29

1 reference

PubMed ID

27070863

Dimensions Publication ID

6 September 2017

0 references

1 reference

PubMed ID

27070863