Investigation of the Interplay between Circulating Lipids and IGF-I and Relevance to Breast Cancer Risk: An Observational and Mendelian Randomization Study.
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Full Title: Cancer Epidemiol Biomarkers Prev
Abbreviation: Cancer Epidemiol Biomarkers Prev
Country: Unknown
Publisher: Unknown
Language: N/A
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"Conflicts of interest The authors declare no potential conflicts of interest"
"This work was specifically supported by the Medical Research Council (MRC) Integrative Epidemiology Unit (IEU) (MC_UU_12013/3) and by a Cancer Research UK Programme Grant [The Integrative Cancer Epidemiology Programme, ICEP] (C18281/A29019). This research was funded in part by the Wellcome Trust (202802/Z/16/Z). For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. VT, KMB, CMP, JMPH, NJT are supported by ICEP (C18281/A19169). NJT is a Wellcome Trust Investigator (202802/Z/16/Z) and works within the University of Bristol NIHR Biomedical Research Centre (BRC). LJC is supported by NJT’s Wellcome Trust Investigator grant (202802/Z/16/Z). NJT and LJC work in the MRC IEU at the University of Bristol which is supported by the MRC (MC_UU_00011) and the University of Bristol. TD received support from Wellcome (grant ref 201268/Z/16/Z) and is now funded by the NIHR as an Academic Clinical Fellow. QQ is supported by a Scientist Development Award (K01HL129892) from the NHLBI. RK is supported by the National Heart, Lung and Blood Institute of the National Institutes of Health (HL105756). JR is supported in part by the National Center for Advancing Translational Sciences, CTSI grant UL1TR001881, and the National Institute of Diabetes and Digestive and Kidney Disease Diabetes Research Center (DRC) grant DK063491 to the Southern California Diabetes Endocrinology Research Center. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs as well as the Social Ministry of the Federal State of Mecklenburg-West Pomerania, and the network ‘Greifswald Approach to Individualized Medicine (GANI_MED)’ funded by the Federal Ministry of Education and Research (grant 03IS2061A). This publication is the work of the authors who will serve as guarantors for the contents of this paper. Quality Control filtering of the UK Biobank data was conducted by R.Mitchell, G.Hemani, T.Dudding, L.Paternoster as described in the published protocol(doi:10.5523/bris.3074krb6t2frj29yh2b03x3wxj)."
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