Author

Peter W. Macfarlane

University of GlasgowORCID 0000-0002-5390-1596Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetics· 2 Bioengineering· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 4 Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:electrophysiology· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Álvaro AlonsoiD· 3 shared Daniel S. EvansiD· 3 shared Eric BoerwinkleiD· 3 shared Honghuang LiniD· 3 shared Jan A. KorsiD· 3 shared Jennifer A. BrodyiD· 3 shared Joshua C. BisiD· 3 shared Leo‐Pekka LyytikäineniD· 3 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

3 shared papersGenetics

Álvaro AlonsoORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

BioengineeringPLoS ONEPeer-reviewedNov 11, 2024

A new QRS detector stress test combining temporal jitter and F-score (JF) reveals significant performance differences amongst popular detectors

Bernd Porr, Peter W. Macfarlane

The paper introduces a new QRS detector performance measure (JF) that accounts for temporal jitter and F-score, revealing significant performance differences among existing detectors.

34 citationstop 4%

electrophysiologystatistical model

𝕏 PostBluesky

Genetic & Genomic MedicineNature CommunicationsPeer-reviewedSep 1, 2022

Genetic analyses of the QT interval and its components in over 250K individuals identifies new loci and pathways affecting ventricular depolarization and repolarization

William John Young, Najim Lahrouchi, Aaron J. Isaacs…·Antônio Luiz Pinho Ribeiro

49 citationstop 2%

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsbioRxivPreprintFeb 28, 2018

Discovering patterns of pleiotropy in genome-wide association studies

Jianan Zhana, CHARGE ECG Working Group, Jessica van Setten…·Steven Ron Cummings

This paper introduces SAPPHO methods to detect pleiotropy in GWAS by modeling shared patterns of genetic associations, finding 16 additional and 124 novel loci in meta-analysis.

4 citations

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsbioRxivPreprintJan 17, 2018

Genome-wide association meta-analysis of PR interval identifies 47 novel loci associated with atrial and atrioventricular electrical activity

Jessica van Setten, Jennifer A. Brody, Yalda Jamshidi…·Paolo Gasparini

This study identifies 47 novel genetic loci associated with PR interval through genome-wide association meta-analysis across multiple populations.

1 citation

humanGWAS summary statistics

𝕏 PostBluesky