Jun Liu
MBBS, MSc, PhD
Researcher
Jun Liu studied clinical medicine at Shanghai Jiao Tong University, graduating in 2013. She did one-year research training at the Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai. In 2016, she obtained her MSc at Erasmus Medical Center, Rotterdam. She was then employed as a scientific researcher there.
In 2019, she finished her PhD thesis titled “Integration of Multi-Omics in Type 2 Diabetes and Related Disorders Research”. She was the convener of the Biobanking and BioMolecular resources Research Infrastructure of the Netherlands (BBMRI-NL) medication working group. From early 2019 she has been the convener in the Cohorts of Heart and Ageing Research in Genomic Epidemiology (CHARGE) metabolomics working group.
Jun joined NDPH in 2019. She mainly works on integration of multi-omics in cardiometabolic diseases and related neurological disorders. Her current research portfolio includes implementing novel analytic approaches to high dimensional analyses involving (epi)genetic, transcriptomic, proteomic, metabolomic and microbiome data of epidemiological cohorts.
Recent publications
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A cross-omics integrative study of metabolic signatures of chronic obstructive pulmonary disease.
Journal article
Prokić I. et al, (2020), BMC Pulm Med, 20
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Integration of epidemiologic, pharmacologic, genetic and gut microbiome data in a drug-metabolite atlas.
Journal article
Liu J. et al, (2020), Nat Med, 26, 110 - 117
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Lipidomic profiling identifies signatures of metabolic risk.
Journal article
Yin X. et al, (2020), EBioMedicine, 51
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Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.
Journal article
Wu P. et al, (2020), PLoS One, 15
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Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels.
Journal article
Tin A. et al, (2019), Nat Genet
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An integrative cross-omics analysis of DNA methylation sites of glucose and insulin homeostasis.
Journal article
Liu J. et al, (2019), Nat Commun, 10
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A catalog of genetic loci associated with kidney function from analyses of a million individuals.
Journal article
Wuttke M. et al, (2019), Nat Genet, 51, 957 - 972
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Large-scale plasma metabolome analysis reveals alterations in HDL metabolism in migraine.
Journal article
Onderwater GLJ. et al, (2019), Neurology, 92, e1899 - e1911
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The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects.
Journal article
Middeldorp CM. et al, (2019), Eur J Epidemiol, 34, 279 - 300
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Large-scale whole-exome sequencing association studies identify rare functional variants influencing serum urate levels.
Journal article
Tin A. et al, (2018), Nat Commun, 9