Author

Alex Hatzimanolis

National and Kapodistrian University of Athens

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 4 Genomics· 2

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 6 Organism:human· 6 Approach:statistical model· 6 Research Focus:GWAS / association mapping· 4 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:fine-mapping· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Dimitrios AvramopoulosiD· 6 shared Max LamiD· 6 shared Andrea Christoforou· 5 shared Antony PaytoniD· 5 shared David C M LiewaldiD· 5 shared Derek W. MorrisiD· 5 shared Dwight DickinsoniD· 5 shared Eliza L. CongdoniD· 5 shared

Activity by Year

2017-2021 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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6 shared papersGenetics

Dimitrios AvramopoulosORCID

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6 papers

Recent·Most cited

Identifying Nootropic Drug Targets via Large-Scale Cognitive GWAS and Transcriptomics

Max Lam, Chia‐Yen Chen, Tian Ge, Yan Xia, David W. Hill, Joey W. Trampush, Jin Yu, Emma Knowles, Gail Davies, Eli A. Stahl, Laura M. Huckins, David C M Liewald, Srdjan Djurovic, Ingrid S. Melle, Andrea Christoforou, , Todd Lencz

This paper identifies potential nootropic drug targets by integrating large-scale cognitive GWAS and transcriptomic data to find credible druggable genes.

Neuropsychopharmacology · May 25, 2021Peer-reviewedGenomics

Screening human embryos for polygenic traits has limited utility

Ehud Karavani, Or Zuk, Danny Zeevi, Nir Barzilai, Nikos C. Stefanis, Alex Hatzimanolis, Nikolaos Smyrnis, Dimitrios Avramopoulos, Leonid Kruglyak, Gil Atzmon, Max Lam, Todd Lencz, Shai Carmi

This paper evaluates the potential benefits of using polygenic scores to select embryos for traits like height and cognitive function, finding limited gains with current predictors.

Cell · Nov 1, 2019Peer-reviewedGenetics

Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways

Max Lam, William David Hill, Joey W. Trampush, Jin Yu, Emma Knowles, Gail Davies, Eli A. Stahl, Laura M. Huckins, David C M Liewald, Srdjan Djurovic, Ingrid Melle, Kjetil S. Sundet, Andrea Christoforou, Ivar Reinvang, Pamela DeRosse, , Todd Lencz

The paper uses pleiotropic meta-analysis to identify genetic loci associated with cognition, education, and schizophrenia, revealing distinct biological mechanisms for concordant and discordant genetic correlations.

The American Journal of Human Genetics · Aug 1, 2019Peer-reviewedGenetics

GWAS meta-analysis (N=279,930) identifies new genes and functional links to intelligence

Jeanne E. Savage, Philip R. Jansen, Sven Stringer, Kyoko Watanabe, Julien Bryois, Christiaan de Leeuw, Mats Nagel, Swapnil Awasthi, Peter B. Barr, Jonathan R. I. Coleman, Katrina L. Grasby, Anke R. Hammerschlag, Jakob André Kaminski, Robert Karlsson, Eva M. L. Krapohl, , Lene Christiansen

This study identifies 206 new genomic loci and 1,041 genes associated with intelligence using a large GWAS meta-analysis of 279,930 individuals.

Nature Genetics · Jun 25, 2018Peer-reviewedGenetics

Ninety-nine independent genetic loci influencing general cognitive function include genes associated with brain health and structure (N = 280,360)

Gail Davies, Max Lam, Sarah E. Harris, Joey W. Trampush, Michelle Luciano A, William David Hill, Saskia P. Hagenaars, Stuart James Ritchie, Riccardo Emilio Marioni, Chloe Fawns‐Ritchie, David C M Liewald, Judith A. Okely, Ari Ahola‐Olli, Catriona L. K. Barnes, Lars Bertram, , Luca Kleineidam

This study identifies 99 genetic loci associated with general cognitive function using data from 280,360 individuals, finding genes linked to brain structure and neurodegenerative disorders.

Nature Communications · May 22, 2018Peer-reviewedGenetics

Large-Scale cognitive GWAS Meta-analysis Reveals Tissue-Specific Neural Expression and Potential Nootopic Drug Targets

Max Lam, Joey W. Trampush, Jin Yu, Emma Knowles, Gail Davies, David C M Liewald, John M. Starr, Srdjan Djurovic, Ingrid Melle, Kjetil S. Sundet, Andrea Christoforou, Ivar Reinvang, Pamela DeRosse, Astri Johansen Lundervold, Vidar Martin Steen, , Todd Lencz

This study performs a large-scale GWAS of cognitive ability, identifies 70 genomic loci, and finds tissue-specific gene expression and potential drug targets.

Cell Reports · Nov 1, 2017Peer-reviewedGenomics