Author

Dipika Desai

Population Health Research Institute

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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Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Research Focus:polygenic risk· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Amel LamriiD· 2 shared Guillaume ParéiD· 2 shared Sonia Savitri AnandiD· 2 shared Brian KellyiD· 1 shared Debbie A. LawloriD· 1 shared Jayneel LimbachiaiD· 1 shared John WrightiD· 1 shared Karleen M. SchulzeiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Amel LamriORCID

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2 papers

Recent·Most cited

The Genetic Risk of Gestational Diabetes in South Asian women

Amel Lamri, Jayneel Limbachia, Karleen M. Schulze, Dipika Desai, Brian Kelly, Russell J. de Souza, Guillaume Paré, Debbie A. Lawlor, John Wright, Sonia Savitri Anand, the Born in Bradford and START investigators

This study finds that a type 2 diabetes polygenic risk score is strongly associated with gestational diabetes-related traits in South Asian women, accounting for a significant portion of the population attributable fraction.

eLife · Nov 3, 2022Peer-reviewedGenetic & Genomic Medicine

Genome-Wide Polygenic Risk Scores and prediction of Gestational Diabetes in South Asian Women

Amel Lamri, Shihong Mao, Dipika Desai, Milan Gupta, Guillaume Paré, Sonia Savitri Anand

This study develops polygenic risk scores for gestational diabetes in South Asian women using multi-ethnic summary statistics and validates them in UK Biobank data, finding moderate heritability.

bioRxiv · Aug 15, 2019 · PreprintGenomics