H
Hamel Patel
Researcher at King's College London
Publications - 43
Citations - 1241
Hamel Patel is an academic researcher from King's College London. The author has contributed to research in topics: Major depressive disorder & Population. The author has an hindex of 15, co-authored 38 publications receiving 757 citations. Previous affiliations of Hamel Patel include South London and Maudsley NHS Foundation Trust & National Institute for Health Research.
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Journal ArticleDOI
An examination of polygenic score risk prediction in individuals with first-episode psychosis
Evangelos Vassos,Marta Di Forti,Jonathan R. I. Coleman,Conrad Iyegbe,Diana Prata,Diana Prata,Jack Euesden,Paul F. O'Reilly,Charles Curtis,Charles Curtis,Anna Kolliakou,Hamel Patel,Hamel Patel,Stephen Newhouse,Stephen Newhouse,Matthew Traylor,Oleysa Ajnakina,Valeria Mondelli,Valeria Mondelli,Tiago Reis Marques,Poonam Gardner-Sood,Katherine J. Aitchison,Katherine J. Aitchison,John Powell,Zerrin Atakan,Kathryn Greenwood,Shubulade Smith,Shubulade Smith,Khalida Ismail,Carmine M. Pariante,Fiona Gaughran,Paola Dazzan,Paola Dazzan,Hugh S. Markus,Anthony S. David,Cathryn M. Lewis,Robin M. Murray,Gerome Breen,Gerome Breen +38 more
TL;DR: Polygenic risk scores was a powerful predictor of case-control status in a European sample of patients with FEP, even though a large proportion did not have an established diagnosis of schizophrenia at the time of assessment.
Journal ArticleDOI
Multi-polygenic score approach to trait prediction
Eva Krapohl,Hamel Patel,Hamel Patel,Stephen Newhouse,Stephen Newhouse,Stephen Newhouse,Charles Curtis,S. von Stumm,Philip S. Dale,Delilah Zabaneh,Gerome Breen,Paul F. O'Reilly,Robert Plomin +12 more
TL;DR: The MPS approach should be useful in research with modest sample sizes to investigate developmental, multivariate and gene–environment interplay issues and, eventually, in clinical settings to predict and prevent problems using personalized interventions.
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Pharmacogenetics of antidepressant response: a polygenic approach
Judit García-González,Katherine E. Tansey,Joanna Hauser,Neven Henigsberg,Wolfgang Maier,Ole Mors,Anna Placentino,Marcella Rietschel,Daniel Souery,Tina Žagar,Piotr M. Czerski,Borut Jerman,Henriette N. Buttenschøn,Thomas G. Schulze,Astrid Zobel,Anne Farmer,Katherine J. Aitchison,Ian W. Craig,Peter McGuffin,Michel Giupponi,Nader Perroud,Guido Bondolfi,David M. Evans,Michael Conlon O'Donovan,Tim J Peters,Jens R. Wendland,Glyn Lewis,Shitij Kapur,Roy H. Perlis,Volker Arolt,Katharina Domschke,Gerome Breen,Charles Curtis,Lee Sang-Hyuk,Carol Kan,Stephen Newhouse,Hamel Patel,Bernhard T. Baune,Rudolf Uher,Cathryn M. Lewis,Chiara Fabbri +40 more
TL;DR: The genetic liability to MDD or schizophrenia did not predict response to antidepressants, suggesting differences between the genetic component of depression and treatment response, and larger or more homogeneous studies will be necessary to obtain a polygenic predictor of antidepressant response.
Journal ArticleDOI
Widespread covariation of early environmental exposures and trait-associated polygenic variation
Eva Krapohl,Laurie J. Hannigan,Jean-Baptiste Pingault,Hamel Patel,Neli Kadeva,Charles Curtis,Gerome Breen,Stephen Newhouse,Stephen Newhouse,Thalia C. Eley,Paul F. O'Reilly,Robert Plomin +11 more
TL;DR: C covariation between trait-associated polygenic variation identified by genome-wide association studies (GWASs) and specific environmental exposures is investigated, controlling for overall genetic relatedness using a genomic relatedness matrix restricted maximum-likelihood model.
Journal ArticleDOI
Quality control, imputation and analysis of genome-wide genotyping data from the Illumina HumanCoreExome microarray
TL;DR: Important aspects of quality control, imputation and analysis of genome-wide data from a low-coverage microarray are discussed, as well as a straight-forward guide to performing a genome- wide association study.