Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Family-specific aggregation of lipid GWAS variants confers the susceptibility to familial hypercholesterolemia in a large Austrian family.

Elina Nikkola | Arthur Ko | Marcus Alvarez | Rita M Cantor | Kristina Garske | Elliot Kim | Stephanie Gee | Alejandra Rodriguez | Reinhard Muxel | Niina Matikainen | Sanni Söderlund | Mahdi M Motazacker | Jan Borén | Claudia Lamina | Florian Kronenberg | Wolfgang J Schneider | Aarno Palotie | Markku Laakso | Marja-Riitta Taskinen | Päivi Pajukanta
Atherosclerosis | 2017

Hypercholesterolemia confers susceptibility to cardiovascular disease (CVD). Both serum total cholesterol (TC) and LDL-cholesterol (LDL-C) exhibit a strong genetic component (heritability estimates 0.41-0.50). However, a large part of this heritability cannot be explained by the variants identified in recent extensive genome-wide association studies (GWAS) on lipids. Our aim was to find genetic causes leading to high LDL-C levels and ultimately CVD in a large Austrian family presenting with what appears to be autosomal dominant inheritance for familial hypercholesterolemia (FH).

Pubmed ID: 28772107

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: F31 HL127921
  • Agency: NHLBI NIH HHS, United States
    Id: P01 HL028481
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL095056

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

View all literature mentions

GATK (tool)

RRID:SCR_001876

A software package to analyze next-generation resequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. This software library makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner. (entry from Genetic Analysis Software)

View all literature mentions

FASTSLINK (tool)

RRID:SCR_008664

Software application that is a faster version of SLINK (entry from Genetic Analysis Software)

View all literature mentions

MENDEL (tool)

RRID:SCR_009288

Software application for genetic analysis of human pedigree data under models involving a small number of loci. MENDEL is useful for segregation analysis, linkage calculations, genetic counseling, allele frequency estimation, and related kinds of problems. (entry from Genetic Analysis Software)

View all literature mentions