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Maksim Struchalin

Researcher at Erasmus University Rotterdam

Publications -  33
Citations -  5872

Maksim Struchalin is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 28, co-authored 31 publications receiving 5377 citations. Previous affiliations of Maksim Struchalin include Erasmus University Medical Center.

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New loci associated with kidney function and chronic kidney disease

Anna Köttgen, +137 more
- 01 May 2010 - 
TL;DR: The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry to identify new susceptibility loci for reduced renal function as estimated by serum creatinine, serum cystatin c and CKD.
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Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

Anna Köttgen, +250 more
- 01 Feb 2013 - 
TL;DR: New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.

Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

Anna Koettgen, +224 more
TL;DR: In this article, the authors identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4).
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Genomewide Association Studies of Stroke

TL;DR: An analysis of genomewide association data generated from four large cohorts composing the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium found a genetic locus on chromosome 12p13 is associated with an increased risk of stroke.
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ProbABEL package for genome-wide association analysis of imputed data

TL;DR: The ProbABEL software package provides fast efficient way to analyze imputed data in genome-wide context and will facilitate future identification of complex trait loci.