Evidence map›Paper›PMID 25287020›Full record

ArticleEnvironmental health : a global access science source2014

Maternal iron metabolism gene variants modify umbilical cord blood lead levels by gene-environment interaction: a birth cohort study.

Mateusz P Karwowski, Allan C Just, David C Bellinger, Rebecca Jim, Earl L Hatley, Adrienne S Ettinger, Howard Hu, Robert O Wright

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Mateusz P KarwowskiDivision of General Pediatrics, Pediatric Environmental Health Center, Boston Children's Hospital, Boston, MA, USA. matt.karwowski@childrens.harvard.edu.
Allan C Just
David C Bellinger
Rebecca Jim
Earl L Hatley
Adrienne S Ettinger
Howard Hu
Robert O Wright
Boston Children's Hospital · USIcahn School of Medicine at Mount Sinai · USProvidence Center · USUniversity of Toronto · CA

Funding

SYNAPTIC MECHANISMS IN HIPPOCAMPAL EPILEPTOGENESISP30HD018655 · NICHD · CHILDREN'S HOSPITAL BOSTON · PI POMEROY, SCOTT LOREN · 1985 to 2015
$26.2M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
Superfund Metal Mixtures, Biomarkers and NeurodevelopmentP42ES016454 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BELLINGER, DAVID C · 2010 to 2015
$10.1M
PEDIATRIC ENVIRONMENTAL HEALTH SPECIALTY UNITS (PEHSU) PROGRAMU61TS000118 · TS · ASSOCIATION/OCCUPATIONAL & ENVIR CLINICS · PI KIRKLAND, KATHERINE HAYES · 2009 to 2013
$9.2M
Metals, Nutrition and Stress in Child DevelopmentP01ES012874 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, HOWARD · 2004 to 2008
$3.2M
Metal Mixtures and NeurodevelopmentR01ES014930 · NIEHS · BRIGHAM AND WOMEN'S HOSPITAL · PI WRIGHT, ROBERT O · 2006 to 2010
$3.2M
ATSDR CDC HHS 1U61TS000118-05ATSDR CDC HHS U61 TS000118NIEHS NIH HHS P01 ES012874NIEHS NIH HHS P42 ES016454NIEHS NIH HHS R01 ES013744NIEHS NIH HHS R01 ES014930
6 · The paper itself

Abstract

backgroundGiven the relationship between iron metabolism and lead toxicokinetics, we hypothesized that polymorphisms in iron metabolism genes might modify maternal-fetal lead transfer. The objective of this study was to determine whether maternal and/or infant transferrin (TF) and hemochromatosis (HFE) gene missense variants modify the association between maternal blood lead (MBL) and umbilical cord blood lead (UCBL).

methodsWe studied 476 mother-infant pairs whose archived blood specimens were genotyped for TF P570S, HFE H63D and HFE C282Y. MBL and UCBL were collected within 12 hours of delivery. Linear regression models were used to examine the association between log-transformed MBL and UCBL, examine for confounding and collinearity, and explore gene-environment interactions.

resultsThe geometric mean MBL was 0.61 μg/dL (range 0.03, 3.2) and UCBL 0.42 (<0.02, 3.9). Gene variants were common with carrier frequencies ranging from 12-31%; all were in Hardy-Weinberg equilibrium. In an adjusted linear regression model, log MBL was associated with log UCBL (β = 0.92, 95% CI: 0.82, 1.03; p < 0.01) such that a 1% increase in MBL was associated with a 0.92% increase in UCBL among infants born to wild-type mothers. In infants born to C282Y variants, however, a 1% increase in MBL is predicted to increase UCBL 0.65% (β(Main Effect) = -0.002, 95% CI: -0.09, -0.09; p = 0.97; β(Interaction) = -0.27, 95% CI: -0.52, -0.01; p = 0.04), representing a 35% lower placental lead transfer among women with MBL 5 μg/dL.

conclusionsMaternal HFE C282Y gene variant status is associated with greater reductions in placental transfer of lead as MBL increases. The inclusion of gene-environment interaction in risk assessment models may improve efforts to safeguard vulnerable populations.

Indexed as

Gene-Environment InteractionPolymorphism, GeneticCohort StudiesFemaleFetal BloodHemochromatosis ProteinHistocompatibility Antigens Class IHumansInfant, NewbornIronLinear ModelsMaleMembrane ProteinsMultiplex Polymerase Chain ReactionMutation, MissenseOklahomaHemochromatosis ProteinHFE protein, humanHistocompatibility Antigens Class IIronMembrane ProteinsTransferrin

Identifiers

PMID25287020
PMCPMC4271345
OpenAlexW2171117021

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.