Author

Paul M Ridker

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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

Frequent Co-Authors

Daniel I Chasman· 2 shared Alkes L Price· 1 shared Andres Ingason· 1 shared Anine H Stam· 1 shared Antti-Pekka Sarin· 1 shared Bendik S Winsvold· 1 shared Benjamin M Neale· 1 shared Bjarni J Vilhjalmsson· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersGenetics

Daniel I Chasman

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Author profile →

3 papers

Recent·Most cited

Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine

Padhraig Gormley, Verneri Anttila, Bendik S Winsvold, Priit Palta, Tonu Esko, Tune H Pers, Kai-How Farh, Ester Cuenca-Leon, Mikko Muona, Nicholas A Furlotte, Tobias Kurth, Andres Ingason, George McMahon, Lannie Ligthart, Gisela M Terwindt, , Ville Art

This study identifies 38 new migraine susceptibility loci through a meta-analysis of 375,000 individuals, including the first locus on chromosome X.

Nature Genetics · Jun 20, 2016Peer-reviewedGenetics

A multivariate genome-wide association analysis of 10 LDL subfractions, and their response to statin treatment, in 1868 Caucasians

Heejung Shim, Daniel I Chasman, Joshua D Smith, Samia Mora, Paul M Ridker, Deborah A Nickerson, Ronald M Krauss, Matthew Stephens

This study performs a genome-wide association analysis of LDL and IDL subfractions and their response to statins in 1868 individuals, identifying strong genetic associations and demonstrating increased power with multivariate analysis.

PLOS ONE · Apr 21, 2015Peer-reviewedGenetics

Efficient Bayesian mixed model analysis increases association power in large cohorts

Po-Ru Loh, George Tucker, Brendan K Bulik-Sullivan, Bjarni J Vilhjalmsson, Hilary K Finucane, Daniel I Chasman, Paul M Ridker, Benjamin M Neale, Bonnie Berger, Nick Patterson, Alkes L Price

BOLT-LMM improves genetic association power in large cohorts by using a Bayesian mixture prior to model non-infinitesimal genetic architectures more realistically.

Nature Genetics · Feb 2, 2015Peer-reviewedGenetics