Author

Réka Nagy

Institute of Genetics and CancerORCID 0000-0002-8583-2652Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2

Frequent Co-Authors

Andrew Mark McIntoshiD· 2 shared Caroline HaywardiD· 2 shared Chris HaleyiD· 2 shared David John PorteousiD· 2 shared Ian J. DearyiD· 2 shared Alison D. MurrayiD· 1 shared Blair Hamilton SmithiD· 1 shared Carmen AmadoriD· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetics

Andrew Mark McIntoshORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Genomic analysis of family data reveals additional genetic effects on intelligence and personality

William David Hill, Ruben C. Arslan, Charley Xia, Michelle Luciano A, Carmen Amador, Pau Navarro, Caroline Hayward, Réka Nagy, David John Porteous, Andrew Mark McIntosh, Ian J. Deary, Chris Haley, Lars Penke

The paper uses family data to estimate genetic effects on intelligence and personality, finding that rare variants explain more variance than previously reported using unrelated individuals.

Molecular Psychiatry · Jan 9, 2018Peer-reviewedGenetics

Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK Biobank

David M. Howard, Lynsey S. Hall, Jonathan D. Hafferty, Yanni Zeng, Mark J. Adams, Toni‐Kim Clarke, David John Porteous, Réka Nagy, Caroline Hayward, Blair Hamilton Smith, Alison D. Murray, Niamh Ryan, Kathryn Louise Evans, Chris Haley, Ian J. Deary, , Andrew Mark McIntosh

This study performs a genome-wide haplotype-based association analysis for major depressive disorder using two cohorts, identifying significant haplotypes potentially linked to the disorder.

Translational Psychiatry · Nov 29, 2017Peer-reviewedGenetics