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Patrick Linsel-Nitschke

Researcher at University of Lübeck

Publications -  39
Citations -  5599

Patrick Linsel-Nitschke is an academic researcher from University of Lübeck. The author has contributed to research in topics: Population & Single-nucleotide polymorphism. The author has an hindex of 27, co-authored 39 publications receiving 5307 citations. Previous affiliations of Patrick Linsel-Nitschke include Columbia University.

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Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants.

Sekar Kathiresan, +118 more
- 08 Feb 2009 - 
TL;DR: SNPs at nine loci were reproducibly associated with myocardial infarction, but tests of common and rare CNVs failed to identify additional associations with my Cardiovascular Infarction risk.
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New susceptibility locus for coronary artery disease on chromosome 3q22.3

Jeanette Erdmann, +60 more
- 01 Mar 2009 - 
TL;DR: A three-stage analysis of genome-wide SNP data in 1,222 German individuals with myocardial infarction and 1,298 controls is presented and suggestive association with a locus on 12q24.31 near HNF1A-C12orf43 is identified.
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Genome-wide haplotype association study identifies the SLC22A3-LPAL2-LPA gene cluster as a risk locus for coronary artery disease

TL;DR: The SLC22A3-LPAL2-LPA gene cluster is identified as a strong susceptibility locus for coronary artery disease through a genome-wide haplotype association (GWHA) study and may have wide utility for analyzing GWA data for other complex traits.
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HDL as a target in the treatment of atherosclerotic cardiovascular disease

TL;DR: Several strategies that have recently emerged to increase levels of HDL cholesterol to treat cardiovascular disease are discussed, including nuclear receptor modulation, inhibition of cholesteryl ester transfer protein and infusion of apolipoprotein/phospholipid complexes.
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Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Cristian Pattaro, +735 more
TL;DR: A meta-analysis of genome-wide association studies for estimated glomerular filtration rate suggests that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.