Author

Frederick T. J. Lin

Northwestern UniversityORCID 0000-0003-1670-6086Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 4 Organism:human· 4 Approach:statistical model· 4 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

M. Geoffrey HayesiD· 4 shared Anubha MahajaniD· 2 shared Bjarke FeenstraiD· 2 shared Bo JacobssoniD· 2 shared Carol A. WangiD· 2 shared Christine PoweriD· 2 shared Craig Edward PennelliD· 2 shared Debbie A. LawloriD· 2 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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4 shared papersGenetic & Genomic Medicine

M. Geoffrey HayesORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Genetic & Genomic MedicineNature GeneticsPeer-reviewedApr 1, 2023

Genetic effects on the timing of parturition and links to fetal birth weight

Pol Solé-Navais, Christopher J. Flatley, Valgerður Steinthórsdóttir…·Bo Jacobsson

This study identifies genetic loci associated with gestational duration and preterm delivery, showing maternal and fetal genetic effects and antagonistic pleiotropy with birth weight.

102 citationstop 1%

humanGWAS summary statistics

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GenomicsPLoS MedicinePeer-reviewedJun 23, 2020

Phenotypic clustering reveals distinct subtypes of polycystic ovary syndrome with novel genetic associations

Matthew Dapas, Frederick T. J. Lin, Girish N. Nadkarni…·Andrea Elizabeth Dunaif

This study identifies two stable subtypes of PCOS with distinct genetic associations through phenotypic clustering and GWAS.

297 citationstop 1%

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintJun 8, 2020

Multi-ancestry Genome- and Phenome-wide Association Studies of Diverticular Disease in Electronic Health Records with Natural Language Processing enriched phenotype algorithm

Yoonjung Yoonie Joo, Jennifer A. Pacheco, William K Thompson…·M. Geoffrey Hayes

This study uses NLP to identify diverticular disease from EHRs and performs GWAS and PheWAS across multiple ancestries to find genetic risk variants and clinical associations.

DOI 10.1101/2020.06.08.138735

humanelectronic health records

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GeneticsbioRxivPreprintSep 23, 2018

Variants in the fetal genome near pro-inflammatory cytokine genes on 2q13 are associated with gestational duration

Xueping Liu, Dorte Helenius, Line Skotte…·Bjarke Feenstra

This study identifies a fetal genome-wide association signal near pro-inflammatory cytokine genes on 2q13 linked to gestational duration and preterm/postterm birth.

2 citations

humanwhole-genome sequencing

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