Author

Sara Lindstrom

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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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Approach:deep learning· 1 Research Focus:fine-mapping· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Alexander GuseviD· 2 shared Eli StahliD· 2 shared Hilary Kiyo Finucane· 2 shared Mark Daly· 2 shared Po-Ru LohiD· 2 shared Shaun PurcelliD· 2 shared Stephan RipkeiD· 2 shared Aarno Palotie· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Alexander GusevORCID

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Author profile →

3 papers

Recent·Most cited

Genomic analyses for age at menarche identify 389 independent signals and indicate BMI-independent effects of puberty timing on cancer susceptibility

Felix R. Day, Deborah J. Thompson, Hannes Helgason, Daniel I. Chasman, Hilary Finucane, Patrick Sulem, Katherine S. Ruth, Sean Whalen, Abhishek K. Sarkar, Eva Albrecht, Elisabeth Altmaier, Marzyeh Amini, Caterina M. Barbieri, Thibaud Boutin, Archie Campbell, , John R.B Perry

This study identifies 389 genetic signals for age at menarche and finds BMI-independent causal links between puberty timing and cancer risks.

bioRxiv · Sep 23, 2016 · PreprintGenomics

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni Vilhjalmsson, Jian Yang, Hilary Kiyo Finucane, Alexander Gusev, Sara Lindstrom, Stephan Ripke, Giulio Genovese, Po-Ru Loh, Gaurav Bhatia, Ron Do, Tristian Hayeck, Hong-Hee Won, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study the Discovery, Sekar Kathiresan, , Nick J Patte

This paper introduces LDpred, a method that improves polygenic risk score accuracy by modeling linkage disequilibrium, showing increased R2 values in schizophrenia and multiple sclerosis datasets.

The American Journal of Human Genetics · Oct 1, 2015Peer-reviewedBioinformatics

Partitioning heritability by functional category using GWAS summary statistics

Hilary Kiyo Finucane, Brendan Bulik-Sullivan, Alexander Gusev, Gosia Trynka, Yakir Reshef, Po-Ru Loh, Verneri Anttilla, Han Xu, Chongzhi Zang, Kyle Farh, Stephan Ripke, Felix Day, ReproGen Consortium, Schizophrenia Working Group of the Psychiatric Genetics Consortium, RACI Consortium, , Alkes L. Price

This paper partitions heritability across functional genomic elements using GWAS summary statistics to identify trait-specific enrichments.

bioRxiv · Jan 23, 2015Genetics