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Gene-level analysis of rare variants in 379,066 whole exome sequences identifies an association of G...

Gene-level analysis of rare variants in 379,066 whole exome sequences identifies an association of G...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3eba2ec7d59241e2a1ea8ba7d9c77d4a

Gene-level analysis of rare variants in 379,066 whole exome sequences identifies an association of GIGYF1 loss of function with type 2 diabetes

About this item

Full title

Gene-level analysis of rare variants in 379,066 whole exome sequences identifies an association of GIGYF1 loss of function with type 2 diabetes

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-11, Vol.11 (1), p.21565-21565, Article 21565

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Sequencing of large cohorts offers an unprecedented opportunity to identify rare genetic variants and to find novel contributors to human disease. We used gene-based collapsing tests to identify genes associated with glucose, HbA1c and type 2 diabetes (T2D) diagnosis in 379,066 exome-sequenced participants in the UK Biobank. We identified associati...

Alternative Titles

Full title

Gene-level analysis of rare variants in 379,066 whole exome sequences identifies an association of GIGYF1 loss of function with type 2 diabetes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3eba2ec7d59241e2a1ea8ba7d9c77d4a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3eba2ec7d59241e2a1ea8ba7d9c77d4a

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-99091-5

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