2018
DOI: 10.1016/j.envint.2018.08.010
|View full text |Cite
|
Sign up to set email alerts
|

Intrauterine multi-metal exposure is associated with reduced fetal growth through modulation of the placental gene network

Abstract: We present a novel approach that integrates the application of advanced bioinformatics and biostatistics methods to delineate potential placental pathways through which trace metal exposures impact fetal growth.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
38
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 53 publications
(39 citation statements)
references
References 50 publications
1
38
0
Order By: Relevance
“…The official guidelines by governmental agencies are skewed, biased and often laced with deception and cover ups on disease causes (eg, SIDS, vaccine injuries, drug toxicities, clinical trials on exclusion/inclusion criteria). Often official information is not worthy of serious considerations once the scientific pros and cons are weighed, particularly regarding information on root causes of cancer epidemics, over‐, under‐diagnosis of diseases, toxicities of drugs, biologics or vaccines safety 1–10,17,20–23,50–52,64,69,71,93,136,137,140,141,157,164,177,192 , , , , . Often, credible scientific information that is prepared by scientists who work in the government or academia are ignored, dismissed or abused when members of the establishment decide to publicize drugs or vaccines of their choice 1‐8,10‐13,17,18,34,36‐39,64,69,71,77,94,143,149,169,172,176,178,180‐184,186‐197 …”
Section: Vaccine Toxicities: Retardation Of Mitochondria and Immune Rmentioning
confidence: 99%
“…The official guidelines by governmental agencies are skewed, biased and often laced with deception and cover ups on disease causes (eg, SIDS, vaccine injuries, drug toxicities, clinical trials on exclusion/inclusion criteria). Often official information is not worthy of serious considerations once the scientific pros and cons are weighed, particularly regarding information on root causes of cancer epidemics, over‐, under‐diagnosis of diseases, toxicities of drugs, biologics or vaccines safety 1–10,17,20–23,50–52,64,69,71,93,136,137,140,141,157,164,177,192 , , , , . Often, credible scientific information that is prepared by scientists who work in the government or academia are ignored, dismissed or abused when members of the establishment decide to publicize drugs or vaccines of their choice 1‐8,10‐13,17,18,34,36‐39,64,69,71,77,94,143,149,169,172,176,178,180‐184,186‐197 …”
Section: Vaccine Toxicities: Retardation Of Mitochondria and Immune Rmentioning
confidence: 99%
“…For this analysis, the link function g(μ) was assumed to be a logit link because of the binary nature of the outcome variable (pathology status), the chemicals included in the WQS index were scored according to quartiles and q i = 0, 1, 2, or 3 if the concentration value was in 1st, 2nd, 3rd and 4th quartile, respectively and 500 bootstrap samples were generated from our full data set to estimate the weights w i . WQS models were constructed with β 1 constrained to be non-negative and additional models were computed with β 1 constrained to be non-positive to determine whether some pollutants were associated with reduced risk for thyroid pathologies (Deyssenroth et al, 2018). Finally, the parameters estimates computed with each imputed dataset were combined according the formula of Rubin (Rubin, 2004;Lubin et al, 2004).…”
Section: Discussionmentioning
confidence: 99%
“…One of the analytic approaches developed specifically for estimating effects of exposure mixtures, weighted quantile sum (WQS) regression, has become increasingly used as an analytic approach for exposure mixtures in relation to health outcomes (Yorita Christensen et al 2013;Deyssenroth et al 2018;Nieves et al 2016). This approach is based on developing an exposure index that is a weighted average of all exposures of interest after each exposure is transformed into a categorical variable defined by quantiles of the exposures.…”
Section: Introductionmentioning
confidence: 99%