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Vorland CJ, Brown AW, Dawson JA, Dickinson SL, Golzarri-Arroyo L, Hannon BA, Heo M, Heymsfield SB, Jayawardene WP, Kahathuduwa CN, Keith SW, Oakes JM, Tekwe CD, Thabane L, Allison DB. Errors in the implementation, analysis, and reporting of randomization within obesity and nutrition research: a guide to their avoidance. Int J Obes (Lond) 2021; 45:2335-2346. [PMID: 34326476 PMCID: PMC8528702 DOI: 10.1038/s41366-021-00909-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 06/26/2021] [Accepted: 07/06/2021] [Indexed: 02/06/2023]
Abstract
Randomization is an important tool used to establish causal inferences in studies designed to further our understanding of questions related to obesity and nutrition. To take advantage of the inferences afforded by randomization, scientific standards must be upheld during the planning, execution, analysis, and reporting of such studies. We discuss ten errors in randomized experiments from real-world examples from the literature and outline best practices for their avoidance. These ten errors include: representing nonrandom allocation as random, failing to adequately conceal allocation, not accounting for changing allocation ratios, replacing subjects in nonrandom ways, failing to account for non-independence, drawing inferences by comparing statistical significance from within-group comparisons instead of between-groups, pooling data and breaking the randomized design, failing to account for missing data, failing to report sufficient information to understand study methods, and failing to frame the causal question as testing the randomized assignment per se. We hope that these examples will aid researchers, reviewers, journal editors, and other readers to endeavor to a high standard of scientific rigor in randomized experiments within obesity and nutrition research.
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Affiliation(s)
- Colby J Vorland
- Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
| | - Andrew W Brown
- Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
| | - John A Dawson
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA
| | - Stephanie L Dickinson
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
| | - Lilian Golzarri-Arroyo
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
| | - Bridget A Hannon
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Moonseong Heo
- Department of Public Health Sciences, Clemson University, Clemson, SC, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Wasantha P Jayawardene
- Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
| | - Chanaka N Kahathuduwa
- Department of Psychiatry, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Scott W Keith
- Department of Pharmacology and Experimental Therapeutics, Division of Biostatistics, Thomas Jefferson University, Philadelphia, PA, USA
| | - J Michael Oakes
- Department of Epidemiology, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Carmen D Tekwe
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
| | - Lehana Thabane
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - David B Allison
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
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Nakamura N. Why Genetic Effects of Radiation are Observed in Mice but not in Humans. Radiat Res 2017; 189:117-127. [PMID: 29261411 DOI: 10.1667/rr14947.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Genetic effects from radiation have been observed in a number of species to date. However, observations in humans are nearly nonexistent. In this review, possible reasons for the paucity of positive observations in humans are discussed. Briefly, it appears likely that radiation sensitivity for the induction of mutations varies among different genes, and that the specific genes that were used in the past with the specific locus test utilizing millions of mice may have simply been very responsive to radiation. In support of this notion, recent studies targeting the whole genome to detect copy number variations (deletions and duplications) in offspring derived from irradiated spermatogonia indicated that the mutation induction rate per genome is surprisingly lower than what would have been expected from previous results with specific locus tests, even in the mouse. This finding leads us to speculate that the lack of evidence for the induction of germline mutations in humans is not due to any kind of species differences between humans and mice, but rather to the lack of highly responsive genes in humans, which could be used for effective mutation screening purposes. Examples of such responsive genes are the mouse coat color genes, but in human studies many more genes with higher response rates are required because the number of offspring examined and the radiation doses received are smaller than in mouse studies. Unfortunately, such genes have not yet been found in humans. These results suggest that radiation probably induces germline mutations in humans but that the mutation induction rate is likely to be much lower than has been estimated from past specific locus studies in mice. Whole genome sequencing studies will likely shed light on this point in the near future.
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Affiliation(s)
- Nori Nakamura
- Department of Molecular Biosciences, Radiation Effects Research Foundation, 5-2 Hijiyama Park, Minami-ku, Hiroshima 732-0815 Japan
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Abstract
In experimental organisms such as fruit flies and mice, increased frequencies in germ cell mutations have been detected following exposure to ionizing radiation. In contrast, there has been no clear evidence for radiation-induced germ cell mutations in humans that lead to birth defects, chromosome aberrations, Mendelian disorders, etc. This situation exists partly because no sensitive and practical genetic marker is available for human studies and also because the number of people exposed to large doses of radiation and subsequently having offspring was small until childhood cancer survivors became an important study population. In addition, the genome of apparently normal individuals seems to contain large numbers of alterations, including dozens to hundreds of nonfunctional alleles. With the number of mutational events in protein-coding genes estimated as less than one per genome after 1 gray (Gy) exposure, it is unsurprising that genetic effects from radiation have not yet been detected conclusively in humans.
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Affiliation(s)
- Nori Nakamura
- Department of Genetics, Radiation Effects Research Foundation, Hiroshima, Japan; , ,
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Chick WSH, Mentzer SE, Carpenter DA, Rinchik EM, You Y. Modification of an existing chromosomal inversion to engineer a balancer for mouse chromosome 15. Genetics 2005; 167:889-95. [PMID: 15238537 PMCID: PMC1470889 DOI: 10.1534/genetics.104.026468] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Chromosomal inversions are valuable genetic tools for mutagenesis screens, where appropriately marked inversions can be used as balancer chromosomes to recover and maintain mutations in the corresponding chromosomal region. For any inversion to be effective as a balancer, it should exhibit both dominant and recessive visible traits; ideally the recessive trait should be a fully penetrant lethality in which inversion homozygotes die before birth. Unfortunately, most inversions recovered by classical radiation or chemical mutagenesis techniques do not have an overt phenotype in either the heterozygous or the homozygous state. However, they can be modified by relatively simple procedures to make them suitable as an appropriately marked balancer. We have used homologous recombination to modify, in embryonic stem cells, the recessive-lethal In(15)21Rk inversion to endow it with a dominant-visible phenotype. Several ES cell lines were derived from inversion heterozygotes, and a keratin-14 (K14) promoter-driven agouti minigene was introduced onto the inverted chromosome 15 in the ES cells by gene targeting. Mice derived from the targeted ES cells carry the inverted chromosome 15 and, at the same time, exhibit lighter coat color on their ears and tails, making this modified In(15)21Rk useful as a balancer for proximal mouse chromosome 15.
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Affiliation(s)
- Wallace S H Chick
- Graduate School of Genome Sciences and Technology, Cellular and Molecular Biology, The University of Tennessee, Knoxville, 37996, USA
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Goldowitz D, Frankel WN, Takahashi JS, Holtz-Vitaterna M, Bult C, Kibbe WA, Snoddy J, Li Y, Pretel S, Yates J, Swanson DJ. Large-scale mutagenesis of the mouse to understand the genetic bases of nervous system structure and function. ACTA ACUST UNITED AC 2005; 132:105-15. [PMID: 15582151 PMCID: PMC3773686 DOI: 10.1016/j.molbrainres.2004.09.016] [Citation(s) in RCA: 54] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/21/2004] [Indexed: 11/29/2022]
Abstract
N-ethyl-N-nitrosourea (ENU) mutagenesis is presented as a powerful approach to developing models for human disease. The efforts of three NIH Mutagenesis Centers established for the detection of neuroscience-related phenotypes are described. Each center has developed an extensive panel of phenotype screens that assess nervous system structure and function. In particular, these screens focus on complex behavioral traits from drug and alcohol responses to circadian rhythms to epilepsy. Each of these centers has developed a bioinformatics infrastructure to track the extensive number of transactions that are inherent in these large-scale projects. Over 100 new mouse mutant lines have been defined through the efforts of these three mutagenesis centers and are presented to the research community via the centralized Web presence of the Neuromice.org consortium (http://www.neuromice.org). This community resource provides visitors with the ability to search for specific mutant phenotypes, to view the genetic and phenotypic details of mutant mouse lines, and to order these mice for use in their own research program.
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Affiliation(s)
- Dan Goldowitz
- Dept. Anatomy and Neurobiology, University of Tennessee Health Science Center, 855 Monroe Ave., Memphis, TN 38163, United States
| | | | | | | | | | | | - Jay Snoddy
- Oak Ridge National Laboratory, United States
| | - Yanxia Li
- Northwestern University, United States
| | | | | | - Douglas J. Swanson
- Dept. Anatomy and Neurobiology, University of Tennessee Health Science Center, 855 Monroe Ave., Memphis, TN 38163, United States
- Corresponding author. Tel.: +1 901 448 6401; fax: +1 901 448 3035. (D.J. Swanson)
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Boyd Y, Blair HJ, Cunliffe P, Masson WK, Reed V. A phenotype map of the mouse X chromosome: models for human X-linked disease. Genome Res 2000; 10:277-92. [PMID: 10720569 DOI: 10.1101/gr.10.3.277] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The identification of many of the transcribed genes in man and mouse is being achieved by large scale sequencing of expressed sequence tags (ESTs). Attention is now being turned to elucidating gene function and many laboratories are looking to the mouse as a model system for this phase of the genome project. Mouse mutants have long been used as a means of investigating gene function and disease pathogenesis, and recently, several large mutagenesis programs have been initiated to fulfill the burgeoning demand of functional genomics research. Nevertheless, there is a substantial existing mouse mutant resource that can be used immediately. This review summarizes the available information about the loci encoding X-linked phenotypic mutants and variants, including 40 classical mutants and 40 that have arisen from gene targeting.
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Affiliation(s)
- Y Boyd
- Medical Research Council (MRC) Mammalian Genetics Unit, Harwell, Oxon OX11 0RD UK.
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Abstract
The present paper reviews the currently available in vivo systems for detection of chemically induced mutations and chromosome aberrations and summarizes the data of the relevant tests for mammalian germ-cell mutations (specific-locus test and heritable translocation test). The value of in vivo screening tests (somatic mutations and sperm abnormalities) for predicting specific-locus mutations is illustrated by comparing doubling doses. The results from the mammalian germ-cell mutation tests (specific-locus test and heritable translocation test) constitute the base-line for an assessment of predictability. Radiation and chemically induced specific-locus mutations differ in a number of respects, suggesting a need for caution in making risk estimates for chemical mutagen exposures in terms of radiation-equivalent doses. In vivo nondisjunction tests are discussed. Finally, unsolved problems and difficulties in generalizing qualitative and quantitative correlations between test systems are outlined. It is concluded that even qualitative predictions from data on somatic cells to germ cells are at best insecure because germ-cell specificity cannot be foretold, not to mention the fact that quantitative extrapolations from the results of in vivo screening tests, in general, are fraught with even more uncertainties. There is an acute need for collection of more data from studies involving germ cells.
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