Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2041-1723

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease ; volume:9 ; number:1 ; day:24 ; month:4 ; year:2018 ; pages:1-8 ; date:12.2018
Nature Communications ; 9, Heft 1 (24.4.2018), 1-8, 12.2018

Creator: Emdin, Connor A.

Contributor: Khera, Amit V.
Chaffin, Mark
Klarin, Derek
Natarajan, Pradeep
Aragam, Krishna
Haas, Mary
Bick, Alexander
Zekavat, Seyedeh M.
Nomura, Akihiro
Ardissino, Diego
Wilson, James G.
Schunkert, Heribert
McPherson, Ruth
Watkins, Hugh
Elosua, Roberto
Bown, Matthew J.
Samani, Nilesh J.
Baber, Usman
Erdmann, Jeanette
Gupta, Namrata
Danesh, John
Chasman, Daniel
Ridker, Paul
Denny, Joshua
Bastarache, Lisa
Lichtman, Judith H.
D’Onofrio, Gail
Mattera, Jennifer
Spertus, John A.
Sheu, Wayne H.-H
Taylor, Kent D.
Psaty, Bruce M.
Rich, Stephen S.
Post, Wendy
Rotter, Jerome I.
Chen, Yii-Der Ida
Krumholz, Harlan
Saleheen, Danish
Gabriel, Stacey
Kathiresan, Sekar
SpringerLink (Online service)

DOI: 10.1038/s41467-018-03911-8

URN: urn:nbn:de:101:1-2018062521180322129319

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:37 AM CEST

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Associated

Emdin, Connor A.
Khera, Amit V.
Chaffin, Mark
Klarin, Derek
Natarajan, Pradeep
Aragam, Krishna
Haas, Mary
Bick, Alexander
Zekavat, Seyedeh M.
Nomura, Akihiro
Ardissino, Diego
Wilson, James G.
Schunkert, Heribert
McPherson, Ruth
Watkins, Hugh
Elosua, Roberto
Bown, Matthew J.
Samani, Nilesh J.
Baber, Usman
Erdmann, Jeanette
Gupta, Namrata
Danesh, John
Chasman, Daniel
Ridker, Paul
Denny, Joshua
Bastarache, Lisa
Lichtman, Judith H.
D’Onofrio, Gail
Mattera, Jennifer
Spertus, John A.
Sheu, Wayne H.-H
Taylor, Kent D.
Psaty, Bruce M.
Rich, Stephen S.
Post, Wendy
Rotter, Jerome I.
Chen, Yii-Der Ida
Krumholz, Harlan
Saleheen, Danish
Gabriel, Stacey
Kathiresan, Sekar
SpringerLink (Online service)

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LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes

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Biological relevance of computationally predicted pathogenicity of noncoding variants

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Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Correction: Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Biological relevance of computationally predicted pathogenicity of noncoding variants

Heterozygous loss-of-function variants in DOCK4 cause neurodevelopmental delay and microcephaly

Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

Association analysis identifies ZNF750 regulatory variants in psoriasis

Single-cell transcriptome identifies molecular subtype of autism spectrum disorder impacted by de novo loss-of-function variants regulating glial cells

PD18 - Filaggrin loss-of-function variants are associated with clinical reactivity to foods

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Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease

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Other Objects (12)

LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes

Clustering of predicted loss-of-function variants in genes linked with monogenic disease can explain incomplete penetrance

Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Correction: Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Biological relevance of computationally predicted pathogenicity of noncoding variants

Heterozygous loss-of-function variants in DOCK4 cause neurodevelopmental delay and microcephaly

Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

Association analysis identifies ZNF750 regulatory variants in psoriasis

Single-cell transcriptome identifies molecular subtype of autism spectrum disorder impacted by de novo loss-of-function variants regulating glial cells

PD18 - Filaggrin loss-of-function variants are associated with clinical reactivity to foods

LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes

Clustering of predicted loss-of-function variants in genes linked with monogenic disease can explain incomplete penetrance

Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Correction: Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Biological relevance of computationally predicted pathogenicity of noncoding variants

Heterozygous loss-of-function variants in DOCK4 cause neurodevelopmental delay and microcephaly

Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

Association analysis identifies ZNF750 regulatory variants in psoriasis

Single-cell transcriptome identifies molecular subtype of autism spectrum disorder impacted by de novo loss-of-function variants regulating glial cells

PD18 - Filaggrin loss-of-function variants are associated with clinical reactivity to foods

LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes

Clustering of predicted loss-of-function variants in genes linked with monogenic disease can explain incomplete penetrance

Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Correction: Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Biological relevance of computationally predicted pathogenicity of noncoding variants

Heterozygous loss-of-function variants in DOCK4 cause neurodevelopmental delay and microcephaly

Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

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Single-cell transcriptome identifies molecular subtype of autism spectrum disorder impacted by de novo loss-of-function variants regulating glial cells

PD18 - Filaggrin loss-of-function variants are associated with clinical reactivity to foods

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