Author

Daniel J. M. Crouch

Centre for Human GeneticsORCID 0000-0001-9007-6161Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Research Focus:differential expression· 2 Research Focus:fine-mapping· 2 Assay:GWAS summary statistics· 2 Assay:bulk RNA-seq· 1 Research Focus:eQTL / molecular QTL mapping· 1 Assay:imaging· 1

Frequent Co-Authors

John A. ToddiD· 4 shared Jamie R. J. InshawiD· 3 shared Antony J. CutleriD· 2 shared Linda S. WickeriD· 2 shared Abdelhamid Boumertit· 1 shared AMY SANGHAVI SHAHiD· 1 shared Andrea K. SteckiD· 1 shared Anna L. GloyniD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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4 shared papersGenetics

John A. ToddORCID

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Author profile →

5 papers

Recent·Most cited

GeneticsGenome biologyPeer-reviewedSep 15, 2022

Genetic regulation of RNA splicing in human pancreatic islets

Goutham Atla, Sílvia Bonàs‐Guarch, Mirabai Cuenca-Ardura…·Jorge P. Ferrer

The paper identifies splicing QTLs in human pancreatic islets that contribute to type 2 diabetes susceptibility by affecting gene splicing and revealing novel molecular mechanisms.

32 citationstop 5%

humanbulk RNA-seq

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GeneticsNature GeneticsPeer-reviewedJun 14, 2021

Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes

Catherine C. Robertson, Jamie R. J. Inshaw, Suna Önengüt-Gümüşcü…·Stephen S. Rich

This study identifies causal variants, cells, genes, and drug targets for type 1 diabetes using large-scale genetic and functional genomic analyses.

302 citationstop 1%

humanGWAS summary statistics

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GeneticsbioRxivPreprintJun 17, 2020

Analysis of overlapping genetic association in type 1 and type 2 diabetes

Jamie R. J. Inshaw, Carlo Sidore, Francesco Cucca…·John A. Todd

This paper identifies four genetic regions associated with both type 1 and type 2 diabetes, with three showing opposite effect directions and one showing concordant effects.

4 citations

humanGWAS summary statistics

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GeneticsDiabetes CarePeer-reviewedSep 26, 2019

Specific type 1 diabetes risk genes underpin age-at-diagnosis and indicate joint defects in immunity, beta-cell fragility and responses to viral infections in early-onset disease.

Jamie R. J. Inshaw, Antony J. Cutler, Daniel J. M. Crouch…·John A. Todd

The paper identifies genetic risk factors associated with early-onset type 1 diabetes, showing stronger effects in children diagnosed before age 7 compared to those diagnosed at 13 or older.

106 citationstop 3%

humanstatistical model

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GeneticsProceedings of the National Academy of SciencesPeer-reviewedJan 4, 2018

The genetics of the human face: identification of large effect single gene variants

Daniel J. M. Crouch, BRUCE J. WINNEY, Willem P. Koppen…·Walter Fred Bodmer

The paper identifies three genetic variants with notable effects on facial profiles and eyes using twin data and 3D facial imaging.

73 citationstop 3%

humanimaging

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