Author

Alex Lewin

London School of Hygiene & Tropical MedicineORCID 0000-0003-0081-7582Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Leonardo BottoloiD· 2 shared Marco BanterleiD· 2 shared Marjo‐Riitta JärveliniD· 2 shared Albert Hofman DiD· 1 shared Alexander HaglundiD· 1 shared Alexandra I. F. BlakemoreiD· 1 shared Alexessander Couto AlvesiD· 1 shared Alina RodrigueziD· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenetics

Leonardo BottoloORCID

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3 papers

Recent·Most cited

GeneticsThe American Journal of Human GeneticsPeer-reviewedJul 1, 2023

Multi-response Mendelian randomization: Identification of shared and distinct exposures for multimorbidity and multiple related disease outcomes

Verena Zuber, Alex Lewin, Michael G. Levin…·Leonardo Bottolo

This paper introduces Multi-response Mendelian randomization (MR2) to identify shared and distinct exposures for multiple disease outcomes, showing improved power and accuracy by accounting for residual correlations between outcomes.

32 citationstop 3%

GWAS summary statisticsstatistical model

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BioinformaticsJournal of the Royal Statistical Society Series C (Applied Statistics)Peer-reviewedMay 9, 2021

A computationally efficient Bayesian Seemingly Unrelated Regressions model for high-dimensional Quantitative Trait Loci discovery

Leonardo Bottolo, Marco Banterle, Sylvia T. Richardson…·Alex Lewin

The paper introduces a Bayesian SUR model for high-dimensional QTL analysis, efficiently handling correlated metabolite data and genetic variants.

26 citations

humanmetabolomics

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GenomicsbioRxivPreprintJun 16, 2017

Genetic architecture of early childhood growth phenotypes gives insights into their link with later obesity

N. Maneka G. De Silva, Sylvain P Sebert, Alexessander Couto Alves…·Marjo‐Riitta Järvelin

This study identifies genetic loci associated with early childhood growth phenotypes and links them to later adiposity traits, suggesting potential targets for obesity prevention.

1 citation

humanGWAS summary statistics

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