↓ Skip to main content

Association of the lipoprotein receptor-related protein 2 gene with gout and non-additive interaction with alcohol consumption

Overview of attention for article published in Arthritis Research & Therapy, November 2013
Altmetric Badge

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Association of the lipoprotein receptor-related protein 2 gene with gout and non-additive interaction with alcohol consumption
Published in
Arthritis Research & Therapy, November 2013
DOI 10.1186/ar4366
Pubmed ID
Authors

Humaira Rasheed, Amanda Phipps-Green, Ruth Topless, Jade E Hollis-Moffatt, Jennie Harré Hindmarsh, Christopher Franklin, Nicola Dalbeth, Peter B Jones, Douglas HN White, Lisa K Stamp, Tony R Merriman

Abstract

The T allele of a single nucleotide polymorphism (SNP: rs2544390) in lipoprotein receptor-related protein 2 (LRP2) is associated with higher serum urate and risk of gout in Japanese individuals. SNP rs2544390 also interacts with alcohol consumption in determining hyperuricemia in this population. We investigated the association of rs2544390 with gout, and interaction with all types of alcohol consumption in European and New Zealand (NZ) Māori and Pacific subjects, and a Māori study cohort from the East Coast region of NZ's North Island.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Student > Master 6 18%
Student > Ph. D. Student 5 15%
Researcher 4 12%
Other 2 6%
Other 4 12%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Medicine and Dentistry 7 21%
Agricultural and Biological Sciences 3 9%
Nursing and Health Professions 2 6%
Computer Science 1 3%
Other 4 12%
Unknown 10 29%