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Last Posted: Jul 18, 2024
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An approach to identify gene-environment interactions and reveal new biological insight in complex traits

From the abstract: " Here, we present a powerful new approach to screen for interactions across the genome, an approach that shares substantial similarity to the Mendelian randomization framework. We identify and confirm 5 loci (6 independent signals) interacted with either cigarette smoking or alcohol consumption for serum lipids, and empirically demonstrate that interaction and mediation are the major contributors to genetic effect size heterogeneity across populations. "

Dose-Response Associations of Lipid Traits With Coronary Artery Disease and Mortality.
Guoyi Yang et al. JAMA Netw Open 2024 1 (1) e2352572

From the abstract: "Do apolipoprotein B (apoB), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG) increase risk of coronary artery disease (CAD), all-cause mortality, or cause-specific mortality, and if so, what are the shapes of these associations? In this genetic association study using mendelian randomization including 347?797 participants of European ancestry from UK Biobank, genetically predicted apoB and LDL-C were positively associated with CAD, all-cause mortality, and cardiovascular mortality, all in a dose-dependent way. Genetically predicted TG was positively associated with CAD, although the presence of pleiotropy was suggested. "

Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes: A Mendelian Randomization Study.
Tormod Rogne et al. JAMA Netw Open 2024 1 (1) e2351166

From the abstract: " Which pathways mediate the inequity in pregnancy health associated with low educational attainment? In this cohort study of more than 3 million individuals, an association between genetically estimated lower educational attainment and increased risk of ectopic pregnancy, hyperemesis gravidarum, gestational diabetes, preeclampsia, preterm birth, and offspring low birth weight was observed. A sizeable portion of these associations were explained by targetable risk factors. These findings suggest that the association of socioeconomic inequalities with adverse pregnancy outcomes may be reduced by intervening for type 2 diabetes, body mass index, smoking, high-density lipoprotein cholesterol level, and systolic blood pressure."


Disclaimer: Articles listed in the Public Health Genomics and Precision 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.

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