Works Published in 2006

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Displaying works 41 - 60 of 117 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2006 journal article

Reduced Fertility Among Overweight and Obese Men

Epidemiology, 17(5), 520–523.

By: M. Sallm??n, D. Sandler, J. Hoppin*, A. Blair & D. Baird

Contributors: M. Sallmén, D. Sandler, J. Hoppin*, A. Blair & D. Baird

MeSH headings : Adult; Agriculture / statistics & numerical data; Body Mass Index; Epidemiologic Studies; Humans; Infertility, Male / epidemiology; Infertility, Male / etiology; Iowa / epidemiology; Male; Middle Aged; North Carolina / epidemiology; Obesity / epidemiology; Odds Ratio; United States / epidemiology
TL;DR: There was a dose–response relationship, and the BMI effect was stronger when the data were limited to couples with the highest-quality infertility data, suggesting that erectile dysfunction in older men does not explain the association. (via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 13, 2019

2006 journal article

Fonofos Exposure and Cancer Incidence in the Agricultural Health Study

Environmental Health Perspectives, 114(12), 1838–1842.

By: R. Mahajan*, A. Blair*, C. Lynch*, P. Schroeder*, J. Hoppin*, D. Sandler*, M. Alavanja*

Contributors: R. Mahajan*, A. Blair*, C. Lynch*, P. Schroeder*, J. Hoppin*, D. Sandler*, M. Alavanja*

author keywords: agriculture; fonofos; insecticides; neoplasms; occupational exposure; organophosphorus compounds; organothiophosphorus compounds; pesticides
MeSH headings : Adult; Agricultural Workers' Diseases / chemically induced; Agricultural Workers' Diseases / epidemiology; Agriculture; Cohort Studies; Family Health; Female; Fonofos / analysis; Fonofos / poisoning; Humans; Incidence; Iowa / epidemiology; Male; Middle Aged; Neoplasms / chemically induced; Neoplasms / epidemiology; Neoplasms / genetics; North Carolina / epidemiology; Occupational Exposure / adverse effects; Occupational Exposure / analysis; Occupational Exposure / statistics & numerical data; Organophosphate Poisoning; Organophosphorus Compounds / analysis; Organothiophosphorus Compounds / analysis; Organothiophosphorus Compounds / poisoning; Pesticides / analysis; Pesticides / poisoning; Poisson Distribution; Prospective Studies; Prostatic Neoplasms / epidemiology; Prostatic Neoplasms / etiology; Prostatic Neoplasms / genetics; Regression Analysis; Risk Factors; Surveys and Questionnaires
TL;DR: Although prostate cancer risk was unrelated to fonofos use overall, among applicators with a family history of prostate cancer, the authors observed a significant dose–response trend for lifetime exposure-days, a measure that takes into account factors that modify pesticide exposure. (via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 13, 2019

2006 journal article

Environmental Exposure Assessment of Pesticides in Farmworker Homes

Environmental Health Perspectives, 114(6), 929–935.

By: J. Hoppin*, J. Adgate*, M. Eberhart*, M. Nishioka* & P. Ryan*

Contributors: J. Hoppin*, J. Adgate*, M. Eberhart*, M. Nishioka* & P. Ryan*

author keywords: dust sampling; fiarmworkers; pesticides
MeSH headings : Agriculture; Environmental Exposure; Family; Food Analysis; Food Contamination; Humans; Pesticides / toxicity; Population Surveillance; Water Supply / analysis
TL;DR: This mini-monograph discusses the strategies used to assess pesticide exposures, presents limitations in the available data for farmworkers, and suggests research needs for future studies of pesticide exposure among farmworker families. (via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 13, 2019

2006 journal article

Farmworker Exposure to Pesticides: Methodologic Issues for the Collection of Comparable Data

Environmental Health Perspectives, 114(6), 923–928.

author keywords: biomonitoring; data collection; environmental assessment; farmworker; health outcomes; pesticide exposure
MeSH headings : Agriculture; Biomarkers; Data Collection / methods; Data Collection / standards; Humans; Occupational Exposure; Pesticides / toxicity
TL;DR: The Farmworker Pesticide Exposure Comparable Data Conference assembled 25 scientists from diverse disciplinary and organizational backgrounds to develop methodologic consensus in four areas of farmworker pesticide exposure research: environmental exposure assessment, biomarkers, personal and occupational predictors of exposure, and health outcomes of exposure. (via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 13, 2019

2006 journal article

Cancer incidence among pesticide applicators exposed to metolachlor in the Agricultural Health Study

International Journal of Cancer, 118(12), 3118–3123.

By: J. Rusiecki*, L. Hou*, W. Lee*, A. Blair*, M. Dosemeci*, J. Lubin*, M. Bonner*, C. Samanic* ...

Contributors: J. Rusiecki*, L. Hou*, W. Lee*, A. Blair*, M. Dosemeci*, J. Lubin*, M. Bonner*, C. Samanic* ...

author keywords: metolachlor; cancer; pesticides; herbicides; applicators
MeSH headings : Acetamides / adverse effects; Adult; Colonic Neoplasms / epidemiology; Colonic Neoplasms / etiology; Female; Follow-Up Studies; Hematologic Neoplasms / epidemiology; Hematologic Neoplasms / etiology; Herbicides / adverse effects; Humans; Incidence; Iowa / epidemiology; Life Style; Lung Neoplasms / epidemiology; Lung Neoplasms / etiology; Male; Middle Aged; Mouth Neoplasms / epidemiology; Mouth Neoplasms / etiology; Neoplasms / epidemiology; Neoplasms / etiology; North Carolina / epidemiology; Occupational Exposure / adverse effects; Pesticides / adverse effects; Poisson Distribution; Prospective Studies; Prostatic Neoplasms / epidemiology; Prostatic Neoplasms / etiology; Registries; Risk Assessment; Risk Factors; Surveys and Questionnaires
TL;DR: Evaluated the incidence of cancer among pesticide applicators exposed to metolachlor in the Agricultural Health Study, a prospective cohort study of licensed pesticides applicators in Iowa and North Carolina, finding no clear risk for any cancer subtype for exposure to metlachlor. (via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 13, 2019

2006 journal article

Cancer Incidence among Pesticide Applicators Exposed to Cyanazine in theAgricultural Health Study

Environmental Health Perspectives, 114(8), 1248–1252.

By: S. Lynch*, J. Rusiecki*, A. Blair*, M. Dosemeci*, J. Lubin*, D. Sandler*, J. Hoppin*, C. Lynch*, M. Alavanja*

Contributors: S. Lynch*, J. Rusiecki*, A. Blair*, M. Dosemeci*, J. Lubin*, D. Sandler*, J. Hoppin*, C. Lynch*, M. Alavanja*

author keywords: Agricultural Health Study; cancer; cyanazine; farming; herbicide; pesticides; triazine herbicide
MeSH headings : Adult; Aged; Agricultural Workers' Diseases / epidemiology; Cohort Studies; Colonic Neoplasms / epidemiology; Female; Follow-Up Studies; Hematologic Neoplasms / epidemiology; Herbicides / adverse effects; Humans; Lung Neoplasms / epidemiology; Lymphoma / epidemiology; Male; Middle Aged; Neoplasms / epidemiology; Occupational Exposure / adverse effects; Poisson Distribution; Prospective Studies; Prostatic Neoplasms / epidemiology; Risk Assessment; Triazines / adverse effects
TL;DR: It was found that there were no clear, consistent associations between cyanazine exposure and any cancer analyzed, and the number of sites was small for certain cancers, limiting any conclusion with regard to ovarian, breast, and some other cancers. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 13, 2019

2006 journal article

Cancer Incidence among Pesticide Applicators Exposed to Dicamba in the Agricultural Health Study

Environmental Health Perspectives, 114(10), 1521–1526.

By: C. Samanic*, J. Rusiecki*, M. Dosemeci*, L. Hou*, J. Hoppin*, D. Sandler*, J. Lubin*, A. Blair*, M. Alavanja*

Contributors: C. Samanic*, J. Rusiecki*, M. Dosemeci*, L. Hou*, J. Hoppin*, D. Sandler*, J. Lubin*, A. Blair*, M. Alavanja*

author keywords: cancer incidence; farming; neoplasms; pesticides; United States
MeSH headings : Adult; Agricultural Workers' Diseases / epidemiology; Dicamba / toxicity; Humans; Incidence; Middle Aged; Neoplasms / chemically induced; Neoplasms / classification; Neoplasms / epidemiology; North Carolina / epidemiology; Pesticides / toxicity; Registries
TL;DR: Associations between exposure and lung and colon cancer were observed, but clear evidence for an association between dicamba exposure and cancer risk was not found. (via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 13, 2019

2006 journal article

Depression and Pesticide Exposures in Female Spouses of Licensed Pesticide Applicators in the Agricultural Health Study Cohort

Journal of Occupational and Environmental Medicine, 48(10), 1005–1013.

By: C. Beseler*, L. Stallones*, J. Hoppin*, M. Alavanja*, A. Blair*, T. Keefe*, F. Kamel*

Contributors: C. Beseler*, L. Stallones*, J. Hoppin*, M. Alavanja*, A. Blair*, T. Keefe*, F. Kamel*

MeSH headings : Adult; Agricultural Workers' Diseases / epidemiology; Agricultural Workers' Diseases / psychology; Agrochemicals / toxicity; Case-Control Studies; Depression / chemically induced; Depression / epidemiology; Environmental Exposure / adverse effects; Female; Health Surveys; Humans; Iowa / epidemiology; Middle Aged; North Carolina / epidemiology; Odds Ratio; Pesticides / toxicity; Risk Factors; Spouses
TL;DR: Pesticide poisoning may contribute to risk of depression among women who had physician-diagnosed depression requiring medication and lifetime pesticide use was categorized as never mixed/applied pesticides, low exposure, high exposure, and a history of diagnosed pesticide poisoning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 13, 2019

2006 journal article

Causes of Mortality and Risk Factors for Injury Mortality Among Children in the Agricultural Health Study

Journal of Agromedicine, 11(3-4), 47–59.

By: K. Flower*, J. Hoppin*, D. Shore, C. Lynch*, A. Blair*, C. Knott*, M. Alavanja*, D. Sandler*

Contributors: K. Flower*, J. Hoppin*, D. Shore, C. Lynch*, A. Blair*, C. Knott*, M. Alavanja*, D. Sandler*

TL;DR: Parent and child characteristics associated with child injury mortality could be used to target farm safety interventions in Iowa and North Carolina between 1975 and 1998. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 13, 2019

2006 journal article

Functional Partitioning of Yeast Co-Expression Networks after Genome Duplication

PLoS Biology, 4(4), e109.

Contributors: G. Conant* & K. Wolfe*

Ed(s): L. Hurst

MeSH headings : Base Sequence; Biological Evolution; Databases, Genetic; Fungal Proteins / genetics; Fungal Proteins / metabolism; Gene Duplication; Gene Expression Regulation, Fungal / genetics; Genome, Fungal / genetics; Models, Biological; Phenotype; Protein Binding; Yeasts / genetics; Yeasts / metabolism
TL;DR: It is proposed that the rationalization of network structure through the loss of pair-wise gene interactions after genome duplication provides a mechanism for the creation of semi-independent daughter networks through the division of ancestral functions between these daughter networks. (via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 12, 2019

2006 journal article

Genetic heterogeneity in a single year-class from a panmictic population of adult blue rockfish (Sebastes mystinus)

Marine Biology, 151(2), 451–465.

By: M. Burford* & R. Larson*

TL;DR: The genetic structure of the 2000 year-class suggests that despite a genetically homogenous adult population, settled juveniles can be genetically heterogeneous along the California coast. (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Source: ORCID
Added: September 11, 2019

2006 journal article

Neonatal genistein or bisphenol-A exposure alters sexual differentiation of the AVPV☆

Neurotoxicology and Teratology, 28(1), 111–118.

By: H. Patisaul*, A. Fortino & E. Polston

author keywords: phytoestrogens; ER alpha; tyrosine hydroxylase; rat; development; hypothalamus
MeSH headings : Animals; Animals, Newborn; Benzhydryl Compounds; Cell Count; Cell Differentiation / drug effects; Cell Differentiation / physiology; Disease Models, Animal; Estradiol / metabolism; Estradiol / pharmacology; Estradiol Congeners / toxicity; Estrogen Receptor alpha / drug effects; Estrogen Receptor alpha / metabolism; Estrogens, Non-Steroidal / adverse effects; Female; Genistein / toxicity; Growth Inhibitors / toxicity; Male; Nervous System Malformations / chemically induced; Nervous System Malformations / pathology; Nervous System Malformations / physiopathology; Phenols / toxicity; Pregnancy; Preoptic Area / abnormalities; Preoptic Area / drug effects; Preoptic Area / physiopathology; Rats; Rats, Sprague-Dawley; Sex Characteristics; Sex Differentiation / drug effects; Sex Differentiation / physiology; Tyrosine 3-Monooxygenase / drug effects; Tyrosine 3-Monooxygenase / metabolism
TL;DR: It is hypothesized that exposure to EACs during this critical period could alter the sexually dimorphic expression of TH and the overall expression of estrogen receptor alpha (ERalpha) in the AVPV and identified a population of neurons co-expressing TH and ERalpha located primarily in the medial region of the A VPV. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: August 18, 2019

2006 journal article

The Comparative Toxicogenomics Database: A Cross-Species Resource for Building Chemical-Gene Interaction Networks

Toxicological Sciences, 92(2), 587–595.

By: C. Mattingly*, M. Rosenstein, A. Davis, G. Colby, J. Forrest & J. Boyer

author keywords: CTD; chemicals; environment; GO; toxicology; pathways; interactions
MeSH headings : Animals; Databases, Factual; Environmental Health; Humans; Toxicogenetics
TL;DR: New CTD features include integrated cross-links to microarray data from chemicals, genes, and sequences in CTD, a reference set related to chemical-gene and protein interactions identified by an information retrieval system, and a "Chemicals in the News" initiative that provides links from CTD chemicals to environmental health articles from the popular press. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: August 10, 2019

2006 journal article

The Comparative Toxicogenomics Database (CTD): a resource for comparative toxicological studies

Journal of Experimental Zoology Part A: Comparative Experimental Biology, 305A(9), 689–692.

By: C. Mattingly*, M. Rosenstein*, G. Colby*, J. Forrest Jr & J. Boyer*

MeSH headings : Animals; Databases, Factual; Humans; Toxicogenetics; Xenobiotics / toxicity
TL;DR: The publicly available Comparative Toxicogenomics Database (CTD) is developed to promote understanding about the effects of environmental chemicals on human health and identifies interactions between chemicals and genes and facilitates cross-species comparative studies of these genes. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: August 10, 2019

2006 journal article

Visual analysis of statistical results from microarray studies of human breast cancer.

Oncology Reports, c, 1043–1047. http://europepmc.org/abstract/med/16525698

By: D. Reif & J. Moore

Source: ORCID
Added: May 14, 2019

2006 article

Integrated analysis of genetic and proteomic data.

http://europepmc.org/theses/ETH/7299

By: D. Reif & V. Libraries

Source: ORCID
Added: May 14, 2019

2006 journal article

Visual analysis of statistical results from microarray studies of human breast cancer

Oncol Rep, 4(4), 1043–1047.

By: D. Reif* & J. Moore

Contributors: D. Reif* & J. Moore

MeSH headings : Antineoplastic Agents / therapeutic use; Breast Neoplasms / drug therapy; Breast Neoplasms / genetics; Data Interpretation, Statistical; Databases, Genetic; Female; Gene Expression Profiling; Humans; Oligonucleotide Array Sequence Analysis; Software
TL;DR: Using a publicly available microarray dataset of gene expression response to chemotherapeutic agents in human breast cancer cell lines, it is demonstrated the usefulness of the EVA system for interpreting statistical results. (via Semantic Scholar)
Source: ORCID
Added: May 14, 2019

2006 conference paper

Understanding the evolutionary process of grammatical evolution neural networks for feature selection in genetic epidemiology

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'06, 263–270.

By: A. Motsinger*, D. Reif*, S. Dudek* & M. Ritchie*

Contributors: A. Motsinger*, D. Reif*, S. Dudek* & M. Ritchie*

TL;DR: The evolutionary characteristics of GENN are compared to that of a random search neural network strategy to better understand the benefits provided by the evolutionary learning process - including advantages with respect to chromosome size and the representation of functional versus non-functional features within the models generated by the two approaches. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Source: ORCID
Added: May 14, 2019

2006 journal article

Machine Learning for Detecting Gene-Gene Interactions

Applied Bioinformatics, 5(2), 77–88.

By: B. McKinney*, D. Reif*, M. Ritchie* & J. Moore*

Contributors: B. McKinney*, D. Reif*, M. Ritchie* & J. Moore*

MeSH headings : Algorithms; Animals; Artificial Intelligence; Genome, Human; Genomics / methods; Genotype; Humans; Models, Genetic; Models, Statistical; Neural Networks, Computer; Polymorphism, Single Nucleotide
TL;DR: This review discusses machine-learning models and algorithms for identifying and characterising susceptibility genes in common, complex, multifactorial human diseases and focuses on the following machine- learning methods that have been used to detect gene-gene interactions: neural networks, cellular automata, random forests, and multifactor dimensionality reduction. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Source: ORCID
Added: May 14, 2019

2006 conference paper

Feature selection using a random forests classifier for the integrated analysis of multiple data types

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'06, 171–178.

Contributors: D. Reif*, A. Motsinger*, B. McKinney*, J. Crowe Jr. & J. Moore

TL;DR: The results indicate that utilizing multiple data types is beneficial when the disease model is complex and the phenotypic outcome-associated data type is unknown, and RF is adept at identifying relevant features in high-dimensional data with small main effects and low heritability. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Source: ORCID
Added: May 14, 2019

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