Adaikalavan Ramasamy received his DPhil in Applied Statistics from University of Oxford in 2009, where he worked on meta-analysis techniques for combining gene expression datasets generated using different platforms and laboratories (Ramasamy et al, PLOS Medicine 2008). Prior to starting his PhD, he spent a very enriching year working with Dr. Lance Miller and Dr. Philip Long as a bioinformatician in the Genome Institute of Singapore, A-STAR.
He started his postdoctoral research in 2008 with Prof. Debbie Jarvis and Prof. David Balding at the Imperial College London. Here he contributed, intiated and led several successful international genetics consortium on asthma (Ramasamy, Kuokkannen, Vedantam, Gajdos et al, PLOS ONE, 2012), allergy (Ramasamy et al, JACI 2011) and lung function (Repapi et al, Nature Genetics, 2010) phenotypes and gene-environment interactions (Hancock et al, PLOS Genetics 2012). He utilized genetics data from two large epidemiological cohorts: European Community Respiratory Health Survey (ECRHS) and the Northern Finland Birth Cohort of 1966 (NFBC66; collaboration with Prof. Marjo-Riitta Jarvelin).
In 2011, he started his second postdoctoral research with Prof. Mike Weale's team at Kings College London and Prof. John Hardy's team at University College London to investigate genetic regulation of gene expression in ten brain tissues sampled in parallel from 134 neurogenetically healthy individuals (Ramasamy, Trabzuni, Guelfi et al, Nature Neuroscience 2014; http://www.braineac.org/).
Adai returned to Oxford in 2013 to head up the Transcriptomics Core Facility at the Jenner Institute, University of Oxford where he lead a small group of researchers to generate and analyze transcriptomics data from human and animal vaccine trials. The objective is to identify transcriptomics correlate of protection status and immunogenicity after vaccination with candidate vaccines and deliberate infection (e.g. malaria, influenza, bovine TB) or in silico challenges (e.g. human TB, Ebola) to inform vaccine development for infectious diseases and cancer immunology.
He joined SICS as Principal Investigator in the Systems Biology domain in December 2016.
Adai’s research interest is in the application of appropriate statistical and bioinformatics tools to solve biologically interesting problems. His expertise lies in statistical genetics and genomics with previous experience in cancer, asthma, allergy, lung function, neurogenetics, vaccinology and immunology.
Hibar D*, Stein J*, Renteria M*, Arias-Vasquez A*, Desrivieres S*, ..., Ramasamy A, ..., Martin NG#, Wright MJ#, Schumann G#, Franke B#, Thompson PM#, Medland SE# (2015). Common genetic variants influence human subcortical brain structures. Nature 520, 224 - 229.
Ramasamy A*, Trabzuni D*, Guelfi S*, Varghese V, Smith C, Walker R, De T, UK Brain Expression Consortium, North American Brain Consortium, Coin L, de Silva R, Cookson M, Singleton A, Hardy J, Ryten M#, Weale ME# (2014). Genetic variability in the regulation of gene expression in multiple regions of the human brain. Nature Neuroscience 17(10):1418 – 28.
Hancock DB*, Artigas MS*, Gharib SA*, Henry A*, Manichaikul A*, Ramasamy A*, Loth D*, 72 co-authors, Cassano PA#, Strachan DP#, Fornage M#, Hall IP#, Dupuis J#, Tobin MD#, London SJ# (2012). Genome-wide joint meta-analysis of SNP and SNP by smoking interaction identifies novel loci for pulmonary function. PLOS Genetics 8(12); e1003098.
Ramasamy A*, Kuokkanen M*, Vedantam S*, Gajdos ZKZ*, 40 co-authors, Salomaa V#, Jarvelin M-R#, Hirschhorn JN# for the Analysis in Population-based Cohorts of Asthma Traits (APCAT) consortium (2012). Genome-wide association studies of asthma in population-based cohorts confirm known and suggested loci and identify an additional association in the HLA region. PLOS ONE 7(9):e44008.
Ramasamy A, Curjuric I, Coin LJ, Kumar A, McArdle WL, Imboden M, Leynaert B, Kogevinas M, Schmid-Grendelmeier P, Pekkanen J, Wjst M, Bircher AJ, Sovio U, Rochat T, Hartikainen A-L, Balding D, Jarvelin M-R, Probst-Hensch N, Strachan DP#, Jarvis DL# (2011). A genome-wide meta-analysis of genetic variants associated with allergic rhinitis and grass sensitization, and their interaction with birth order. Journal of Allergy and Clinical Immunology 128 (5) 996 – 1005.
Repapi E*, Sayers I*, Wain LV*, Burton PR, Johnson T, Obeidat M, Zhao JH, Ramasamy A, 84 co-authors, Elliot P#, Strachan DP#, Hall IP#, Tobin MD# for the SpiroMeta Genetics Consortium (2010). Genome-wide association study identifies five new loci associated with lung function. Nature Genetics; 42(1):36 – 44.
Ramasamy A, Mondry A, Holmes CC, Altman DG (2008). Key Issues in Conducting a Meta-Analysis of Gene Expression Microarray Datasets. PLOS Medicine; 5(9):e184
* Joint first authors
# Joint senior authors
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