Bioinformatic and rare-variant collapsing analyses for type 1 and type 2 diabetes in the UK Biobank reveal novel pleiotropic susceptibility loci

Bengt Zöller; Eric Manderstedt; Christina Lind-Halldén; Christer Halldén

doi:10.1111/1753-0407.13452

Bioinformatic and rare-variant collapsing analyses for type 1 and type 2 diabetes in the UK Biobank reveal novel pleiotropic susceptibility loci

Bengt Zöller, Eric Manderstedt, Christina Lind-Halldén, Christer Halldén

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	799-802
Number of pages	4
Journal	Journal of Diabetes
Volume	15
Issue number	9
DOIs	https://doi.org/10.1111/1753-0407.13452
Publication status	Published - 2023

Subject classification (UKÄ)

Endocrinology and Diabetes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1111/1753-0407.13452

Cite this

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title = "Bioinformatic and rare-variant collapsing analyses for type 1 and type 2 diabetes in the UK Biobank reveal novel pleiotropic susceptibility loci",

author = "Bengt Z{\"o}ller and Eric Manderstedt and Christina Lind-Halld{\'e}n and Christer Halld{\'e}n",

year = "2023",

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T1 - Bioinformatic and rare-variant collapsing analyses for type 1 and type 2 diabetes in the UK Biobank reveal novel pleiotropic susceptibility loci

AU - Zöller, Bengt

AU - Manderstedt, Eric

AU - Lind-Halldén, Christina

AU - Halldén, Christer

PY - 2023

Y1 - 2023

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DO - 10.1111/1753-0407.13452

M3 - Article

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SN - 1753-0393

VL - 15

SP - 799

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JO - Journal of Diabetes

JF - Journal of Diabetes

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