Candidate gene methylation studies are at high risk of erroneous conclusions

Epigenomics

Volumn 7, Issue 1, 2015, Pages 13-15

  Shabalin, Andrey A ^a   Aberg, Karolina A ^a   Van Den Oord, Edwin Jcg ^a  

^a VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

candidate gene study; DNA methylation; false discoveries; methylome wide association study; principal component analysis

Indexed keywords

BREAST IMPLANT; DNA METHYLATION; GENETIC ASSOCIATION; HUMAN; HUMAN GENOME; LIFESTYLE; LYMPHOBLASTOID CELL LINE; NOTE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; GENE;

DNA METHYLATION; GENES; GENETIC ASSOCIATION STUDIES; HUMANS;

EID: 84923225148     PISSN: 17501911     EISSN: 1750192X     Source Type: Journal    
DOI: 10.2217/epi.14.70     Document Type: Note

References (7)

1. Bell JT, Pai AA, Pickrell JK et al. DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines. Genome Biol. 12(1), R10 (2011).
2. Aberg KA, McClay JL, Nerella S et al. Methylome-wide association study of schizophrenia: identifying blood biomarker signatures of environmental insults. JAMA Psychiatry 71(3), 255-264 (2014).
3. Hsiung DT, Marsit CJ, Houseman EA et al. Global DNA methylation level in whole blood as a biomarker in head and neck squamous cell carcinoma. Cancer Epidemiol. Biomarkers Prev. 16(1), 108-114 (2007).
4. Lim U, Song MA. Dietary and lifestyle factors of DNA methylation. Methods Mol. Biol. 863, 359-376 (2012).
5. van den Oord EJ, Sullivan PF. False discoveries and models for gene discovery. Trends Genet. 19(10), 537-542 (2003).
6. Wacholder S, Chanock S, Garcia-Closas M, El Ghormli L, Rothman N. Assessing the probability that a positive report is false: an approach for molecular epidemiology studies. J. Natl Cancer Inst. 96(6), 434-442 (2004).
7. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Royal Stat. Soc. B 57, 289-300 (1995).