Joshua N Sampson
Affiliation: National Institutes of Health
- Efficient study design for next generation sequencingJoshua Sampson
Biostatistics Branch, DCEG, National Cancer Institute, Rockville, MD 20852, USA
Genet Epidemiol 35:269-77. 2011..The optimal coverage depth depends on the aims of the study, and the chosen depth can have a large impact on study success...
- Metabolomics in epidemiology: sources of variability in metabolite measurements and implicationsJoshua N Sampson
Division of Cancer Epidemiology and Genetics, National Cancer Institute, 6120 Executive Blvd, Rockville, MD 20852, USA
Cancer Epidemiol Biomarkers Prev 22:631-40. 2013..Here, the authors assess the variability of a large subset of metabolites and evaluate the implications for epidemiologic studies...
- A two-platform design for next generation genome-wide association studiesJoshua N Sampson
Biostatistics Branch, DCEG, National Cancer Institute, Rockville, Maryland 20852, USA
Genet Epidemiol 36:400-8. 2012..However, the loss of power due to imputation can be more substantial if the relative risks for rare variants are significantly larger than those previously observed for common variants...
- Selecting SNPs to identify ancestryJoshua N Sampson
National Cancer Institute, Bethesda, MD, USA
Ann Hum Genet 75:539-53. 2011..We demonstrate that selection procedures based on this estimate produce small sets of SNPs that can accurately predict ancestry. We also provide a list of the 100 optimal SNPs for identifying ancestry...
- Sources of variability in metabolite measurements from urinary samplesQian Xiao
Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America
PLoS ONE 9:e95749. 2014..We assessed the sources of variability of metabolites from urine samples and the implications for designing epidemiologic studies...
- Fecal metabolomics: assay performance and association with colorectal cancerJames J Goedert
Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892 9704, USA, Information Management Services, 6110 Executive Boulevard, Rockville, MD 20852, USA and Division of Epidemiology, Department of Population Health, New York University School of Medicine, 650 First Avenue, 518, New York, NY 10016, USA
Carcinogenesis 35:2089-96. 2014..Thus, because fecal metabolites vary over time, very large studies will be needed to reliably detect associations of many metabolites that potentially contribute to CRC. ..
- Metabolites of tobacco smoking and colorectal cancer riskAmanda J Cross
Nutritional Epidemiology Branch, Biostatistics Branch, Genetic Epidemiology Branch and Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD 20850, USA
Carcinogenesis 35:1516-22. 2014..16, 95% CI: 0.57-2.37). Biomarkers capturing smoking behavior and metabolic variation exhibit stronger associations with colorectal cancer than self-report, providing additional evidence for a role for tobacco in this malignancy...
- Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33Zhaoming Wang
Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC Frederick, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
Hum Mol Genet 23:6616-33. 2014..33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci. ..
- Testing multiple biological mediators simultaneouslySimina M Boca
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
Bioinformatics 30:214-20. 2014....