Literature DB >> 18165655

The lipoprotein subfraction profile: heritability and identification of quantitative trait loci.

Bernhard Kaess1, Marcus Fischer, Andrea Baessler, Klaus Stark, Fritz Huber, Werner Kremer, Hans Robert Kalbitzer, Heribert Schunkert, Guenter Riegger, Christian Hengstenberg.   

Abstract

The HDL and LDL subclass profile is an emerging cardiovascular risk factor. Yet, the biological and genetic mechanisms controlling the lipoprotein subclass distribution are unclear. Therefore, we aimed 1) to determine the heritability of the entire spectrum of LDL and HDL subclass features and 2) to identify gene loci influencing the lipoprotein subfraction pattern. Using NMR spectroscopy, we analyzed the lipoprotein subclass distribution in 1,275 coronary artery disease patients derived from the Regensburg Myocardial Infarction Family Study. We calculated heritabilities, performed a microsatellite genome scan, and calculated linkage. HDL and LDL subclass profiles showed heritabilities ranging from 23% to 67% (all P < 10(-3)) of traits using univariate calculation. After multivariate adjustment, we found heritabilities of 27-48% (all P < 0.05) for HDL and 21-44% for LDL traits. The linkage analysis revealed a significant logarithm of the odds (LOD) score (3.3) for HDL particle concentration on chromosome 18 and a highly suggestive signal for HDL particle size on chromosome 12 (2.9). After multivariate adjustment, we found a significant maximum LOD score of 3.7 for HDL size. Our study is the first to analyze heritability and linkage for the entire spectrum of LDL and HDL subclass features. Our findings may lead to the identification of genes controlling the lipoprotein subclass distribution.

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Year:  2007        PMID: 18165655     DOI: 10.1194/jlr.M700338-JLR200

Source DB:  PubMed          Journal:  J Lipid Res        ISSN: 0022-2275            Impact factor:   5.922


  17 in total

1.  Lactosomes: structural and compositional classification of unique nanometer-sized protein lipid particles of human milk.

Authors:  Nurit Argov-Argaman; Jennifer T Smilowitz; Daniel A Bricarello; Mariana Barboza; Larry Lerno; John W Froehlich; Hyeyoung Lee; Angela M Zivkovic; Danielle G Lemay; Samara Freeman; Carlito B Lebrilla; Atul N Parikh; J Bruce German
Journal:  J Agric Food Chem       Date:  2010-10-06       Impact factor: 5.279

2.  The genetic architecture of lipoprotein subclasses in Gullah-speaking African American families enriched for type 2 diabetes: the Sea Islands Genetic African American Registry (Project SuGAR).

Authors:  Jasmin Divers; Michèle M Sale; Lingyi Lu; Wei-Min Chen; Kerry H Lok; Ida J Spruill; Jyotika K Fernandes; Carl D Langefeld; W Timothy Garvey
Journal:  J Lipid Res       Date:  2009-09-25       Impact factor: 5.922

3.  Liposcale: a novel advanced lipoprotein test based on 2D diffusion-ordered 1H NMR spectroscopy.

Authors:  Roger Mallol; Núria Amigó; Miguel A Rodríguez; Mercedes Heras; Maria Vinaixa; Núria Plana; Edmond Rock; Josep Ribalta; Oscar Yanes; Lluís Masana; Xavier Correig
Journal:  J Lipid Res       Date:  2015-01-07       Impact factor: 5.922

4.  Relations of long-term and contemporary lipid levels and lipid genetic risk scores with coronary artery calcium in the framingham heart study.

Authors:  Connie W Tsao; Sarah Rosner Preis; Gina M Peloso; Shih-Jen Hwang; Sekar Kathiresan; Caroline S Fox; L Adrienne Cupples; Udo Hoffmann; Christopher J O'Donnell
Journal:  J Am Coll Cardiol       Date:  2012-11-07       Impact factor: 24.094

5.  Comprehensive Analysis of Established Dyslipidemia-Associated Loci in the Diabetes Prevention Program.

Authors:  Toni I Pollin; Paul W Franks; Tibor V Varga; Alexandra H Winters; Kathleen A Jablonski; Edward S Horton; Prajakta Khare-Ranade; William C Knowler; Santica M Marcovina; Frida Renström; Karol E Watson; Ronald Goldberg; José C Florez
Journal:  Circ Cardiovasc Genet       Date:  2016-10-26

6.  Multi-scale inference of genetic trait architecture using biologically annotated neural networks.

Authors:  Pinar Demetci; Wei Cheng; Gregory Darnell; Xiang Zhou; Sohini Ramachandran; Lorin Crawford
Journal:  PLoS Genet       Date:  2021-08-19       Impact factor: 5.917

7.  WWOX gene is associated with HDL cholesterol and triglyceride levels.

Authors:  María E Sáez; Antonio González-Pérez; María T Martínez-Larrad; Javier Gayán; Luis M Real; Manuel Serrano-Ríos; Agustín Ruiz
Journal:  BMC Med Genet       Date:  2010-10-14       Impact factor: 2.103

Review 8.  [Clinical importance of HDL cholesterol].

Authors:  W März; M E Kleber; H Scharnagl; T Speer; S Zewinger; A Ritsch; K G Parhofer; A von Eckardstein; U Landmesser; U Laufs
Journal:  Herz       Date:  2016-11-14       Impact factor: 1.443

9.  Analysis with the exome array identifies multiple new independent variants in lipid loci.

Authors:  Stavroula Kanoni; Nicholas G D Masca; Kathleen E Stirrups; Tibor V Varga; Helen R Warren; Robert A Scott; Lorraine Southam; Weihua Zhang; Hanieh Yaghootkar; Martina Müller-Nurasyid; Alexessander Couto Alves; Rona J Strawbridge; Lazaros Lataniotis; Nikman An Hashim; Céline Besse; Anne Boland; Peter S Braund; John M Connell; Anna Dominiczak; Aliki-Eleni Farmaki; Stephen Franks; Harald Grallert; Jan-Håkan Jansson; Maria Karaleftheri; Sirkka Keinänen-Kiukaanniemi; Angela Matchan; Dorota Pasko; Annette Peters; Neil Poulter; Nigel W Rayner; Frida Renström; Olov Rolandsson; Maria Sabater-Lleal; Bengt Sennblad; Peter Sever; Denis Shields; Angela Silveira; Alice V Stanton; Konstantin Strauch; Maciej Tomaszewski; Emmanouil Tsafantakis; Melanie Waldenberger; Alexandra I F Blakemore; George Dedoussis; Stefan A Escher; Jaspal S Kooner; Mark I McCarthy; Colin N A Palmer; Anders Hamsten; Mark J Caulfield; Timothy M Frayling; Martin D Tobin; Marjo-Riitta Jarvelin; Eleftheria Zeggini; Christian Gieger; John C Chambers; Nick J Wareham; Patricia B Munroe; Paul W Franks; Nilesh J Samani; Panos Deloukas
Journal:  Hum Mol Genet       Date:  2016-07-27       Impact factor: 6.150

10.  Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences.

Authors:  Liron Ganel; Lei Chen; Ryan Christ; Jagadish Vangipurapu; Erica Young; Indraniel Das; Krishna Kanchi; David Larson; Allison Regier; Haley Abel; Chul Joo Kang; Alexandra Scott; Aki Havulinna; Charleston W K Chiang; Susan Service; Nelson Freimer; Aarno Palotie; Samuli Ripatti; Johanna Kuusisto; Michael Boehnke; Markku Laakso; Adam Locke; Nathan O Stitziel; Ira M Hall
Journal:  Hum Genomics       Date:  2021-06-07       Impact factor: 6.481

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