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Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
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Related Experiment Video

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Disruption of the Mouse Blood-Brain Barrier by Small Extracellular Vesicles from Hypoxic Human Placentas
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Genetic variants in pre-eclampsia: a meta-analysis.

A J Buurma1, R J Turner, J H M Driessen

  • 1Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands. a.j.buurma@lumc.nl

Human Reproduction Update
|January 10, 2013
PubMed
Summary
This summary is machine-generated.

This meta-analysis identified seven genetic variants linked to pre-eclampsia risk. Many of these genetic factors for pre-eclampsia are also associated with cardiovascular disease, indicating shared genetic underpinnings.

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12:17

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Published on: August 2, 2017

Area of Science:

  • Genetics
  • Obstetrics
  • Cardiovascular Medicine

Background:

  • Pre-eclampsia exhibits familial clustering, suggesting a genetic susceptibility component.
  • Numerous studies have explored genetic associations with pre-eclampsia, but replication has been inconsistent.
  • This meta-analysis focuses on reproducibly associated genetic variants.

Purpose of the Study:

  • To assess the pooled effect of genetic variants reproducibly associated with pre-eclampsia.
  • To identify specific genetic variants contributing to pre-eclampsia pathogenesis.
  • To explore shared genetic risk factors between pre-eclampsia and cardiovascular disease.

Main Methods:

  • Systematic literature search of PubMed, Embase, and Web of Science for gene-pre-eclampsia association studies.
  • Inclusion of genetic variants significantly associated in an initial study and independently reproduced.
  • Meta-analysis using a random-effects model to calculate pooled odds ratios at the allele level.

Main Results:

  • Identified 22 replicated genetic variants from 542 relevant studies.
  • Seven genetic variants remained significantly associated with pre-eclampsia after meta-analysis.
  • Associated genes include ACE, CTLA4, F2, FV, LPL, and SERPINE1.

Conclusions:

  • Seven genetic variants are significantly associated with pre-eclampsia.
  • Shared genetic risk factors exist between pre-eclampsia and cardiovascular disease.
  • Future research should investigate the role of these variants in pre-eclampsia development.