Dariush Ghasemi
Dariush Ghasemi
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About Me

I’m a Statistical Geneticist discovering proteins associated with complex diseases in the European cohorts. For the last 3.5 years, I have been investigating the characteristics of genetic determinants for kidney function and Chronic Kidney Diseases. I worked on the data derived from The Cooperative Health Research in South Tyrol (CHRIS study) under supervision of Dr. Cristian Pattaro at Eurac Research Institute for Biomedicine in Bolzano, Italy.


Career

  • Statistical Geneticist (2024/02 ~ Current)
    • Human Technopole
      • GWAS, Meta-Analysis GWAS, Multi-Ancestry association study.
      • Quality control checking of participated cohorts in Round 5.
  • Visiting Researcher (2023/02 ~ 2023/03)
    • AstraZeneca R&D Gothenburg
      • Trainings on AZ 5R drug development pipeline by Translational Biology Team.
      • Drug target identification and validation.
  • Statistical analyst (2022/02 ~ Current)
    • CKDGen Consortium
      • GWAS, Meta-Analysis GWAS, Multi-Ancestry association study.
      • Quality control checking of participated cohorts in Round 5.
  • Researcher (Marie-Curie PhD fellow) (2021/02 ~ 2024/02)
    • Eurac Research
      • The PhD project is part of Multidisciplinary Training in Chronic Kidney Disease: from genetic modifiers to drug discovery (TrainCKDis) consortium funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860977
      • Performing Genome/Exome-Wide Association Study (G/EWAS) on kidney biomarkers and mediation-based pathway analysis:
        1. Exploring kidney function-associated variants in enriched CHRIS study cohort using mediation and interaction analyses.
        2. Assessing the associations across the bile-acid/proteome/metabolome and kidney function.
        3. Reconstructing the haplotypes made up of functional variants from Whole-Exome Sequencing data and heat common signals from imputed SNP array data across the mediated loci and perform PheWas on kidney function using anthropometric traits, blood parameters, metabolites, and proteins of CHRIS study participants.
        4. Computing combined polygenic score of the kidney function and its risk factors and dissect the risk loci.


Education

  • PhD in Statistical Genetics and Bioinformatics (2021/02 ~ Current)
    • Leiden University Medical Center
      • Thesis: Identification of genetic determinants of kidney function and chronic kidney disease.
  • MSc in Biostatistics (2016/09 ~ 2019/09)
    • Mazandaran University of Medical Sciences
      • Thesis: Data mining on patients HbA1c rate before and after performing the Family Physician Plan in Mazandaran.
  • BSc in Statistics (2012/09 ~ 2016/07)
    • University of Mazandaran
      • Thesis: New approximate confidence intervals for the difference between two Poisson means and comparison.


Publication

  • Systematic mediation and interaction analyses of kidney function genetic loci in a general population study. D Ghasemi et al. Medrxiv (August 2024). DOI:10.1101/2023.04.15.23288540
  • Structural equation modeling (SEM) of kidney function markers and longitudinal CVD risk assessment. R Fujii et al. PLOS ONE (April 2023) DOI:10.1371/journal.pone.0280600
  • Comparison of glomerular filtration rate estimating formulas among Japanese adults without kidney disease. R Fujii et al. Clinical Biochemistry, Volume 111, January 2023, 54-59. DOI:10.1016/j.clinbiochem.2022.10.011
  • Genome-wide association study reveals loci with sex-specific effects on plasma bile acids. A Landini et al. Medrxiv (December 2022). DOI:10.1101/2022.12.16.22283452v1
  • Can individual studies add value to characterize loci from genome-wide association metaanalyses? A case study. D Ghasemi et al. Conference Proceedings, International Genetic Epidemiology Society, July 2022. DOI:10.1002/gepi.22503
  • MO383: Structural Equation Modelling to Improve Kidney Function Assessment in The General Population. R Fujii et al. Nephrology Dialysis Transplantation, Vol. 37, Issue Suppl_3, May 2022, gfac069.016. DOI:10.1093/ndt/gfac069.016
  • Depression in the Iranian Elderly: A Systematic Review and Meta-Analysis. H Jafari et al. Journal of Aging Research, vol. 2021, Article ID 9305624, 9 pages, 2021. DOI:10.1155/2021/9305624
  • Trend of changes in blood sugar and glycated hemoglobin in electronic health records, Sari, Iran 2012-2018. D Ghasemi et al. Journal of Mazandaran University of Medical Sciences. 30(190), September 2020, 109-118. scopus.com/inward/record.url?eid=2-s2.0-85094968432&partnerID=MN8TOARS
  • Knowledge and attitude toward genetic diseases and genetic tests among pre-marriage individuals: A cross-sectional study in northern Iran. B Hashemi-Soteh et al. International Journal of Reproductive BioMedicine (IJRM), 17(8), 2019, 543–550. DOI:10.18502/ijrm.v17i8.4819


Interests

  • Hunting drug targets
  • Genome/Exome-Wide Association Study
  • Machine/Deep Learning
  • Mediation Analysis
  • Mandelian Randomization
  • Fine-mapping and Colocalization
  • Multi-Omics and Network Anlysis
  • Single-Cells RNA-seq