4.5 Review

Perspectives for Consideration in the Development of Microbial Cell Reference Materials

Journal

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
Volume 28, Issue 12, Pages 1949-1954

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1055-9965.EPI-19-0557

Keywords

-

Funding

  1. Intramural Research Program of the NCI at the NIH
  2. NIST
  3. NIAID
  4. Zymo Research
  5. ATCC

Ask authors/readers for more resources

Microbiome measurement and analyses benefit greatly from incorporation of reference materials as controls. However, there are many points to consider in defining an ideal whole-cell reference material standard. Such a standard would embody all the diversity and measurement challenges present in real samples, would be completely characterized to provide ground truth data, and would be inexpensive and widely available. This ideal is, unfortunately, not readily attainable because of the diverse nature of different sequencing projects. Some applications may benefit most from highly complex reference materials, while others will value characterization or low expense more highly. The selection of appropriate microbial whole-cell reference materials to benchmark and validate microbial measurements should be considered carefully and may vary among specific applications. In this article, we describe a perspective on the development of whole-cell microbial reference materials for use in metagenomics analyses.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biochemical Research Methods

Using standard microbiome reference groups to simplify beta-diversity analyses and facilitate independent validation

Marlena Maziarz, Ruth M. Pfeiffer, Yunhu Wan, Mitchell H. Gail

BIOINFORMATICS (2018)

Article Oncology

Proportion of US Trends in Breast Cancer Incidence Attributable to Long-term Changes in Risk Factor Distributions

Ruth M. Pfeiffer, Yenny Webb-Vargas, William Wheeler, Mitchell H. Gail

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2018)

Article Public, Environmental & Occupational Health

Circulating 25-hydroxyvitamin D up to 3decades prior to diagnosis in relation to overall and organ-specific cancer survival

Stephanie J. Weinstein, Alison M. Mondul, Kai Yu, Tracy M. Layne, Christian C. Abnet, Neal D. Freedman, Racheal Z. Stolzenberg-Solomon, Unhee Lim, Mitchell H. Gail, Demetrius Albanes

EUROPEAN JOURNAL OF EPIDEMIOLOGY (2018)

Article Oncology

Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification

Parichoy Pal Choudhury, Amber N. Wilcox, Mark N. Brook, Yan Zhang, Thomas Ahearn, Nick Orr, Penny Coulson, Minouk J. Schoemaker, Michael E. Jones, Mitchell H. Gail, Anthony J. Swerdlow, Nilanjan Chatterjee, Montserrat Garcia-Closas

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2020)

Editorial Material Oncology

Choosing Breast Cancer Risk Models: Importance of Independent Validation

Mitchel H. Gail

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2020)

Article Medicine, General & Internal

Design choices for observational studies of the effect of exposure on disease incidence

Mitchell H. Gail, Douglas G. Altman, Suzanne M. Cadarette, Gary Collins, Stephen J. W. Evans, Peggy Sekula, Elizabeth Williamson, Mark Woodward

BMJ OPEN (2019)

Article Health Care Sciences & Services

Robustness of risk-based allocation of resources for disease prevention

Mitchell H. Gail, David Pee

STATISTICAL METHODS IN MEDICAL RESEARCH (2020)

Editorial Material Mathematical & Computational Biology

Thoughts on AIDS and COVID-19: A Tale of Two Pandemics and the Role of Statisticians by Susan S. Ellenberg and Jeffrey S. Morris

Mitchell H. Gail

Summary: HIV and Covid-19 (or SARS-CoV-2) have different characteristics in terms of their incubation periods and susceptibility to immune defenses, which impact our ability to predict and control these epidemics.

STATISTICS IN MEDICINE (2021)

Article Immunology

Rationale and design of a double-blind randomized non-inferiority clinical trial to evaluate one or two doses of vaccine against human papillomavirus including an epidemiologic survey to estimate vaccine efficacy: The Costa Rica ESCUDDO trial

Carolina Porras, Joshua N. Sampson, Rolando Herrero, Mitchell H. Gail, Bernal Cortes, Allan Hildesheim, Jean Cyr, Byron Romero, John T. Schiller, Christian Montero, Ligia A. Pinto, John Schussler, Karla Coronado, Monica S. Sierra, Jane J. Kim, Catherine M. Torres, Loretto Carvajal, Sarah Wagner, Nicole G. Campos, Rebecca Ocampo, Troy J. Kemp, Michael Zuniga, Douglas R. Lowy, Carlos Avila, Stephen Chanock, Ariane Castrillo, Yenory Estrada, Gloriana Barrientos, Cindy Monge, Maria Y. Oconitrillo, Aimee R. Kreimer

Summary: Vaccination of adolescent girls with HPV vaccines is essential for preventing cervical cancer. Studies suggest that a single dose of the vaccine may provide long-lasting protection and reduce the risk of cervical cancer. Large trials are currently underway to compare the efficacy of one versus two doses of different HPV vaccines in preventing new HPV infections.

VACCINE (2022)

Article Oncology

Tools for Contralateral Prophylactic Mastectomy Decision Making

Mitchell H. Gail, Ismail Jatoi

Summary: Women with unilateral breast cancer may opt for contralateral prophylactic mastectomy (CPM) based on the risk of contralateral breast cancer (CBC). However, considering the absolute risks of regional and distant recurrences and mortality from non-breast cancer causes can lead to a better decision-making process.

JOURNAL OF CLINICAL ONCOLOGY (2022)

Article Mathematical & Computational Biology

Accommodating population differences when validating risk prediction models

Ruth M. Pfeiffer, Yiyao Chen, Mitchell H. Gail, Donna P. Ankerst

Summary: Validating risk prediction models in independent data is more reliable than internal assessment through cross-validation. However, differences in the training and validation data can affect the performance of a risk model. This paper introduces the concepts of similarity and relatedness between the data sets, and defines reproducibility and transportability. The study examines the impact of different distributions of model predictors and variations in outcome verification on model performance.

STATISTICS IN MEDICINE (2022)

Article Oncology

Spline Analysis of Biomarker Data Pooled from Multiple Matched/Nested Case-Control Studies

Yujie Wu, Mitchell Gail, Stephanie Smith-Warner, Regina Ziegler, Molin Wang

Summary: This paper presents methods for pooling continuous biomarker measurements from multiple studies and estimating the nonlinear association between biomarker values and disease risks. Pooling biomarker data from multiple studies enables more precise estimates of the association, but calibration of local laboratory measurements is necessary.

CANCERS (2022)

Editorial Material Biology

Discussion of A formal causal interpretation of the case-crossover design by Zach Shahn, Miguel A. Hernan, and James M. Robins

Ruth M. Pfeiffer, Mitchell H. Gail

Summary: The authors discuss the conditions and bias factors involved in case-crossover analysis, as well as the simplification of the problem by focusing on two exposure times and randomized exposure assignments.

BIOMETRICS (2023)

Article Oncology

Risk-Reducing Salpingo-Oophorectomy and Breast Cancer Risk Reduction in the Gynecologic Oncology Group Protocol-0199 (GOG-0199)

Phuong L. Mai, Austin Miller, Mitchell H. Gail, Steven Skates, Karen Lu, Mark E. Sherman, Olga B. Ioffe, Gustavo Rodriguez, David E. Cohn, John Boggess, Thomas Rutherford, Noah D. Kauff, Janet S. Rader, Kelly-Anne Phillips, Paul A. DiSilvestro, Alexander B. Olawaiye, Mildred R. Ridgway, Mark H. Greene, Marion Piedmonte, Joan L. Walker

JNCI CANCER SPECTRUM (2020)

No Data Available