Wong, Gerard
479  Ergebnisse:
Personensuche X
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2

Population-centric risk prediction modeling for gestational..:

Kumar, Mukkesh ; Chen, Li ; Tan, Karen Mei Ling...
https://eprints.soton.ac.uk/454941/1/Manuscript_20211208.docx.  , 2022
 
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4

Population-centric Risk Prediction Modeling for Gestational..:

Kumar, Mukkesh ; Chen, Li ; Tan, Karen...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612635/.  , 2022
 
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6

The placental lipidome of maternal antenatal depression pre..:

Wong, Gerard ; Weir, Jacquelyn M ; Mishra, Priti...
Wong , G , Weir , J M , Mishra , P , Huynh , K , Nijagal , B , Gupta , V , Broekman , B F P , Chong , M F F , Chan , S Y , Tan , K H , Tull , D , McConville , M , Calder , P C , Godfrey , K M , Chong , Y S , Gluckman , P D , Meaney , M J , Meikle , P J & Karnani , N 2021 , ' The placental lipidome of maternal antenatal depression predicts socio-emotional problems in the offspring ' , Translational Psychiatry , vol. 11 , no. 1 , 107 . https://doi.org/10.1038/s41398-021-01208-x.  , 2021
 
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11

Ethnic diversity in infant gut microbiota is apparent befor..:

Xu, Jia ; Lawley, Blair ; Wong, Gerard...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524347/.  , 2020
 
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14

Externalized histone H4 orchestrates chronic inflammation b..:

Silvestre-Roig, Carlos ; Braster, Quinte ; Wichapong, Kanin...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41586-019-1167-6.  , 2019
 
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15

Changes in plasma lipids predict pravastatin efficacy in se..:

Jayawardana, Kaushala S ; Mundra, Piyushkumar A ; Giles, Corey...
Jayawardana , K S , Mundra , P A , Giles , C , Barlow , C K , Nestel , P J , Barnes , E H , Kirby , A , Thompson , P , Sullivan , D R , Alshehry , Z H , Mellett , N A , Huynh , K , McConville , M J , Zoungas , S , Hillis , G S , Chalmers , J , Woodward , M , Marschner , I C , Wong , G , Kingwell , B A , Simes , J , Tonkin , A M , Meikle , P J & behalf of the LIPID Study Investigators 2019 , ' Changes in plasma lipids predict pravastatin efficacy in secondary prevention ' , JCI Insight , vol. 4 , no. 13 , :e12843 . https://doi.org/10.1172/jci.insight.128438.  , 2019
 
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