PuSH - Publication Server of Helmholtz Zentrum München: Genetic associations with lipoprotein subfractions provide information on their biological nature.

Information

Clues to quality of journals

Open Access Policy of Helmholtz Association 2016

CC Licencences

Publication Metrics

Navigation

Home

Deutsch

EVA: Electronic Publishing

New EVA Application

Research

Advanced Search

Browse by ...

... HMGU-Authors/Consortia

... Organizational Structure

... Journal

... Publication Type

... Research Data

... Arbeitsgruppen

... Publication Year

Publication overview

Statistics

Statistics (last 5 years)

OA Publications

Publish

Submit Publication

Import publication from...

...EVA

Report missing publication

Highlights

Support & Contact

Contact persons

Help

Data protection

Helmholtz Open Science

JANE Journal Estimator

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Petersen, A.-K. ; Stark, K.* ; Musameh, M.D.* ; Nelson, C.P.* ; Römisch-Margl, W. ; Kremer, W.* ; Raffler, J. ; Krug, S.* ; Skurk, T.* ; Rist, M.J.* ; Daniel, H.* ; Hauner, H.* ; Adamski, J. ; Tomaszewski, M.* ; Döring, A. ; Peters, A. ; Wichmann, H.-E. ; Kaess, B.M.* ; Kalbitzer, H.R.* ; Huber, F.* ; Pfahlert, V.* ; Samani, N.J.* ; Kronenberg, F.* ; Dieplinger, H.* ; Illig, T. ; Hengstenberg, C.* ; Suhre, K. ; Gieger, C. ; Kastenmüller, G.

Genetic associations with lipoprotein subfractions provide information on their biological nature.

Hum. Mol. Genet. 21, 1433-1443 (2012)

Publ. Version/Full Text Volltext

DOI

PMC

	Closed

Open Access Green as soon as Postprint is submitted to ZB.

Abstract
Metrics
Extra information

Adverse levels of lipoproteins are highly heritable and constitute risk factors for cardiovascular outcomes. Hitherto, genome-wide association studies revealed 95 lipid-associated loci. However, due to the small effect sizes of these associations large sample numbers (>100 000 samples) were needed. Here we show that analyzing more refined lipid phenotypes, namely lipoprotein subfractions, can increase the number of significantly associated loci compared with bulk high-density lipoprotein and low-density lipoprotein analysis in a study with identical sample numbers. Moreover, lipoprotein subfractions provide novel insight into the human lipid metabolism. We measured 15 lipoprotein subfractions (L1-L15) in 1791 samples using (1)H-NMR (nuclear magnetic resonance) spectroscopy. Using cluster analyses, we quantified inter-relationships among lipoprotein subfractions. Additionally, we analyzed associations with subfractions at known lipid loci. We identified five distinct groups of subfractions: one (L1) was only marginally captured by serum lipids and therefore extends our knowledge of lipoprotein biochemistry. During a lipid-tolerance test, L1 lost its special position. In the association analysis, we found that eight loci (LIPC, CETP, PLTP, FADS1-2-3, SORT1, GCKR, APOB, APOA1) were associated with the subfractions, whereas only four loci (CETP, SORT1, GCKR, APOA1) were associated with serum lipids. For LIPC, we observed a 10-fold increase in the variance explained by our regression models. In conclusion, NMR-based fine mapping of lipoprotein subfractions provides novel information on their biological nature and strengthens the associations with genetic loci. Future clinical studies are now needed to investigate their biomedical relevance.

Impact Factor

Scopus SNIP

Web of Science
Times Cited

Scopus
Cited By

Altmetric

7.636

1.710