Author

Carl Melbourne

University of LeicesterORCID 0000-0001-7216-4547Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Abdullah Mesut ErzurumluogluiD· 2 shared Anna L. GuyattiD· 2 shared Beate StubbeiD· 2 shared Blair Hamilton SmithiD· 2 shared Caroline HaywardiD· 2 shared Chiara BatiniiD· 2 shared Claudia LangenbergiD· 2 shared David John PorteousiD· 2 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Abdullah Mesut ErzurumluogluORCID

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3 papers

Recent·Most cited

GeneticsWellcome Open ResearchPeer-reviewedJun 1, 2020

SNPs associated with HHIP expression have differential effects on lung function in males and females

Katherine A. Fawcett, Ma’en Obeidat, Carl Melbourne…·Louise V. Wain

The paper identifies SNPs with sex-specific effects on lung function traits using UK Biobank data, finding a significant interaction at rs7697189 near HHIP.

12 citations

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsNature GeneticsPeer-reviewedFeb 25, 2019

New genetic signals for lung function highlight pathways and pleiotropy, and chronic obstructive pulmonary disease associations across multiple ancestries

Nick R. G. Shrine, Anna L. Guyatt, Abdullah Mesut Erzurumluoglu…·Andrew P. Morris

The paper identifies 279 new genetic signals for lung function across multiple ancestries, showing associations with COPD and pleiotropic effects.

539 citationstop 1%

humanGWAS summary statistics

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GeneticsBiological PsychiatryPeer-reviewedDec 6, 2018

Exome chip meta-analysis elucidates the genetic architecture of rare coding variants in smoking and drinking behavior

David M. Brazel, Yu Jiang, Jordan M. Hughey…·Jean Ferrières

The paper analyzes rare coding variants in smoking and drinking behavior using exome chip data, finding that they contribute to phenotypic variation but require larger samples for individual variant associations.

79 citations

humanwhole-exome sequencing

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