Suchergebnisse - "Eriksson, Johan"

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    Quelle: Journal of Affective Disorders. 172

    Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), Mental Health (rcdc), Headaches (rcdc), Serious Mental Illness (rcdc), Neurosciences (rcdc), Mental Illness (rcdc), Bipolar Disorder (rcdc), Brain Disorders (rcdc), Human Genome (rcdc), Migraines (rcdc), Pain Research (rcdc), Genetics (rcdc), Chronic Pain (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), Neurological (hrcs-hc), Adult (mesh), Bipolar Disorder (mesh), Carrier Proteins (mesh), Comorbidity (mesh), Female (mesh), Genetic Predisposition to Disease (mesh), Genome-Wide Association Study (mesh), Humans (mesh), Male (mesh), Migraine Disorders (mesh), Nerve Tissue Proteins (mesh), Polymorphism, Single Nucleotide (mesh), Bipolar disorder, Migraine, Genetics, NBEA, Neurobeachin, BiGS Consortium, IHG Consortium, Humans (mesh), Genetic Predisposition to Disease (mesh), Carrier Proteins (mesh), Nerve Tissue Proteins (mesh), Bipolar Disorder (mesh), Comorbidity (mesh), Polymorphism, Single Nucleotide (mesh), Adult (mesh), Female (mesh), Male (mesh), Migraine Disorders (mesh), Genome-Wide Association Study (mesh), Bipolar disorder, Genetics, Migraine, NBEA, Neurobeachin, Adult (mesh), Bipolar Disorder (mesh), Carrier Proteins (mesh), Comorbidity (mesh), Female (mesh), Genetic Predisposition to Disease (mesh), Genome-Wide Association Study (mesh), Humans (mesh), Male (mesh), Migraine Disorders (mesh), Nerve Tissue Proteins (mesh), Polymorphism, Single Nucleotide (mesh), 11 Medical and Health Sciences (for), 17 Psychology and Cognitive Sciences (for), Psychiatry (science-metrix), 32 Biomedical and clinical sciences (for-2020), 42 Health sciences (for-2020), 52 Psychology (for-2020)

    Dateibeschreibung: application/pdf

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    Weitere Verfasser: Loh, Jason Loy, See Ling Appannah, Geeta et al.

    Dateibeschreibung: application/pdf

    Relation: The S-PRESTO study is supported by the National Research Foundation, Singapore (NRF) under the Open Fund-Large Collaborative Grant (OF-LCG; MOH-000504) administered by the Singapore Ministry of Health's National Medical Research Council, Singapore (NMRC) and the Agency for Science, Technology and Research, Singapore (A*STAR). In RIE2025, the study is supported by funding from the NRF's Human Health and Potential (HHP) Domain, under the Human Potential Programme. KMG is supported by the UK Medical Research Council (MC_UU_12011/4), the National Institute for Health Research, United Kingdom (NIHR Senior Investigator (NF\u2013SI-0515-10042) and NIHR Southampton Biomedical Research Centre (NIHR203319)) and the European Union (Erasmus+ Programme ImpENSA 598488-EPP-1-2018-1-DE-EPPKA2-CBHE-JP). For the purpose of Open Access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission. The funding bodies had no influence on the study design, data collection, analysis, interpretation and content of the manuscript. The S- PRESTO study is supported by the National Research Foundation ( NRF ) under the Open Fund-Large Collaborative Grant (OF-LCG; MOH-000504) administered by the Singapore Ministry of Health's National Medical Research Council ( NMRC ) and the Agency for Science, Technology and Research ( A*STAR ). In RIE2025, the study is supported by funding from the NRF's Human Health and Potential (HHP) Domain, under the Human Potential Programme. KMG is supported by the UK Medical Research Council (MC_UU_12011/4), the National Institute for Health Research ( NIHR Senior Investigator (NF\u2013SI-0515-10042) and NIHR Southampton Biomedical Research Centre (NIHR203319)) and the European Union ( Erasmus+ Programme ImpENSA 598488-EPP-1-2018-1-DE-EPPKA2-CBHE-JP). For the purpose of Open Access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission. The funding bodies had no influence on the study design, data collection, analysis, interpretation and content of the manuscript.; Loh , J , Loy , S L , Appannah , G , Colega , M T , Godfrey , K M , Yap , F , Chong , Y S , Eriksson , J G , Chan , J K Y , Chan , S Y , Chong , M F F & Lai , J S 2024 , ' Relation of preconception eating behaviours to dietary pattern trajectories and gestational weight gain from preconception to late pregnancy ' , Appetite , vol. 198 , 107336 . https://doi.org/10.1016/j.appet.2024.107336; http://hdl.handle.net/10138/591694; 85189671693; 001225041100001

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    Dateibeschreibung: application/pdf

    Relation: The study is supported by the National Research Foundation (NRF) under the Open Fund-Large Collaborative Grant (OF-LCG; MOH-000504 ) administered by the Singapore Ministry of Health's National Medical Research Council (NMRC) and the Agency for Science, Technology and Research (A*STAR) . In RIE2025, S-PRESTO is supported by funding from the NRF's Human Health and Potential (HHP) Domain , under the Human Potential Programme. K.M.G. is supported by the UK Medical Research Council ( MC_UU_12011/4 ), the National Institute for Health Research (NIHR Senior Investigator ( NF-SI-0515-10042 ) and NIHR Southampton Biomedical Research Centre ( NIHR203319 )) and the US National Institute on Aging of the National Institutes of Health (Award No. U24AG047867 ). For the purpose of Open Access, the author has applied a Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising from this submission. M.F. is supported by the National Research Foundation Singapore under its AI Singapore Programme (Award Number: AISG-GC-2019-001-2A ) and the NMRC Health Service Research Grant ( MOH-000030-00 ).; Kway , Y M , Thirumurugan , K , Michael , N , Tan , K H , Godfrey , K M , Gluckman , P , Chong , Y S , Venkataraman , K , Khoo , E Y H , Khoo , C M , Leow , M K S , Tai , E S , Chan , J KY , Chan , S Y , Eriksson , J G , Fortier , M V , Lee , Y S , Velan , S S , Feng , M & Sadananthan , S A 2023 , ' A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI ' , Computers in Biology and Medicine , vol. 167 , 107608 . https://doi.org/10.1016/j.compbiomed.2023.107608; http://hdl.handle.net/10138/592612; 85174739853; 001102527700001

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