2020
DOI: 10.1371/journal.pgen.1008947
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A general framework for functionally informed set-based analysis: Application to a large-scale colorectal cancer study

Abstract: Genome-wide association studies (GWAS) have successfully identified tens of thousands of genetic variants associated with various phenotypes, but together they explain only a fraction of heritability, suggesting many variants have yet to be discovered. Recently it has been recognized that incorporating functional information of genetic variants can improve power for identifying novel loci. For example, S-PrediXcan and TWAS tested the association of predicted gene expression with phenotypes based on GWAS summar… Show more

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Cited by 6 publications
(3 citation statements)
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“…Differences in gene expression have been reported in CRC and adenoma tissue relative to normal colorectal tissue [ 9 12 ], with genes involved in metabolism, transcription, and translation and cellular processes commonly altered [ 13 ]. Recent transcriptome wide association studies confirm the importance of gene expression in carcinogenesis [ 14 , 15 ]. Vitamin D broadly influences gene expression through activation of the ligand-activated transcription factor VDR , which has been shown to influence cancer cell growth in vitro [ 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…Differences in gene expression have been reported in CRC and adenoma tissue relative to normal colorectal tissue [ 9 12 ], with genes involved in metabolism, transcription, and translation and cellular processes commonly altered [ 13 ]. Recent transcriptome wide association studies confirm the importance of gene expression in carcinogenesis [ 14 , 15 ]. Vitamin D broadly influences gene expression through activation of the ligand-activated transcription factor VDR , which has been shown to influence cancer cell growth in vitro [ 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, many methods have been developed based on individual variants GWAS summary statistics such as marginal association effect size estimates and standard errors for developing genome‐wide risk prediction models (Mak et al, 2017; Thomas et al, 2020; Vilhjálmsson et al, 2015), understanding the molecular mechanism underlying diseases using integrative genomics such as gene expression, methylation, and proteomics (Dong et al, 2020; Gamazon et al, 2015), estimating the causal effects of lifestyle and environmental risk factors such as body mass index and smoking by using genetic variants as instruments in Mendelian Randomization (Emdin et al, 2017), among others. These methods use the summary statistics of many genetic variants simultaneously and have greatly expanded the data analyses to address important questions such as risk prediction and the causal relationship of risk factors or intermediate (molecular) phenotypes with complex traits.…”
Section: Introductionmentioning
confidence: 99%
“…Differences in gene expression have been reported in CRC and adenoma tissue relative to normal colorectal tissue [9-12], with genes involved in metabolism, transcription and translation and cellular processes commonly altered [13]. Recent transcriptome wide association studies confirm importance of gene expression in carcinogenesis [14, 15]. Vitamin D broadly influences gene expression through activation of the ligand-activated transcription factor VDR , which has been shown to influence cancer cell growth in vitro [16].…”
Section: Introductionmentioning
confidence: 99%