Author

Shruthi Mahalingaiah

Boston UniversityORCID 0000-0002-5527-5787Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Anat Yaskolka MeiriD· 1 shared Anna DruetiD· 1 shared Daniel ThomasiD· 1 shared Erika RodrigueziD· 1 shared Garyk BrixiiD· 1 shared Jaakko S. TyrmiiD· 1 shared Jie HuiD· 1 shared Jun LiiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Anat Yaskolka MeirORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintOct 17, 2023

Understanding and Predicting Polycystic Ovary Syndrome through Shared Genetics with Testosterone, SHBG, and Chronic Inflammation

Lillian Kay Petersen, Garyk Brixi, Jun Li…·Liming Liang

This study identifies genetic loci associated with PCOS and shows genetic correlations with inflammation and sex hormones, improving PCOS prediction through polygenic risk scores.

2 citations

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsJMIR Formative ResearchPeer-reviewedMar 29, 2020

Identifying Women at Risk for Polycystic Ovary Syndrome Using a Mobile Health Application

Erika Rodriguez, Daniel Thomas, Anna Druet…·Shruthi Mahalingaiah

This paper develops a mobile app feature to estimate PCOS risk using a Bayesian network and evaluates its accuracy against physician assessments.

18 citations

humanstatistical model

𝕏 PostBluesky