Lead
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Last Posted: Oct 13, 2021
- Evaluation of divalent metal transporter 1 (DMT1) (rs224589) polymorphism on blood lead levels of occupationally exposed individuals.
Mani Monica Shirley, et al. Toxicology letters 2021 10 - A new approach to a legacy concern: Evaluating machine-learned Bayesian networks to predict childhood lead exposure risk from community water systems.
Mulhern Riley et al. Environmental research 2021 204(Pt B) 112146 - Novel Application of Machine Learning Algorithms and Model-Agnostic Methods to Identify Factors Influencing Childhood Blood Lead Levels.
Liu Xiaochi et al. Environmental science & technology 2021 - Gene Variants Determine Placental Transfer of Perfluoroalkyl Substances (PFAS), Mercury (Hg) and Lead (Pb), and Birth Outcome: Findings From the UmMuKi Bratislava-Vienna Study.
Gundacker Claudia, et al. Frontiers in genetics 2021 0 664946 - Delta-Aminolevulinic Acid Dehydratase, Low Blood Lead Levels, Social Factors, and Intellectual Function in an Afro-Brazilian Children Community.
Bah Homegnon A F, et al. Biological trace element research 2021 3 - Associations of blood lead levels with multiple genotoxic biomarkers among workers in China: A population-based study.
Wang Tuanwei, et al. Environmental pollution (Barking, Essex : 1987) 2020 11 116181 - Validation of a Machine Learning Model to Predict Childhood Lead Poisoning.
Potash Eric et al. JAMA network open 2020 Sep 3(9) e2012734 - Interaction between lead and noradrenergic genotypes affects neurocognitive functions in attention-deficit/hyperactivity disorder: a case control study.
Choi Jae-Won, et al. BMC psychiatry 2020 8 (1) 407 - Maternal ?-aminolevulinic acid dehydratase 1-2 genotype enhances fetal lead exposure and increases the susceptibility to the development of cerebral palsy.
Abdel Hamid Omaima Ibrahim, et al. Environmental science and pollution research international 2020 7 - The association of blood lead levels and renal effects may be modified by genetic combinations of Metallothionein 1A 2A polymorphisms.
Yang Chen-Cheng, et al. Scientific reports 2020 6 (1) 9603
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Environmental Health PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the use of genomic and other precision health technologies in addressing environmental health issues including epidemiology, translation, policies and guidelines and population health programs and impact...more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Jul 25, 2022
- Page last updated:Jan 28, 2023
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