Literature DB >> 10591657

Dissecting the genetic architecture of lipids, lipoproteins, and apolipoproteins: lessons from twin studies.

H Snieder1, L J van Doornen, D I Boomsma.   

Abstract

We review the ways in which twin studies have been used to investigate the genetic architecture of lipids, lipoproteins, and apolipoproteins. We focus on the age dependency of genetic effects and the importance of pleiotropy for the lipid system. Finally, consequences are discussed of age dependency and pleiotropy for the design and power of twin studies aimed at detecting the actual quantitative trait loci (QTLs) involved. It is concluded that twin studies have played an important role and will remain highly valuable for the elucidation of the genetic architecture of lipids, lipoproteins, and apolipoproteins. Twins can efficiently be used to identify the location and function of QTLs. Taking account of pleiotropy and age-dependent gene expression in study design and data analysis will improve the power and efficiency to find these QTLs for components of the lipid system.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10591657     DOI: 10.1161/01.atv.19.12.2826

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  23 in total

1.  Genetic variation in cholesterol ester transfer protein, serum CETP activity, and coronary artery disease risk in Asian Indian diabetic cohort.

Authors:  Ashley Schierer; Latonya F Been; Sarju Ralhan; Gurpreet S Wander; Christopher E Aston; Dharambir K Sanghera
Journal:  Pharmacogenet Genomics       Date:  2012-02       Impact factor: 2.089

Review 2.  Genetic epidemiological approaches in the study of risk factors for cardiovascular disease.

Authors:  Anastasia Iliadou; Harold Snieder
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

3.  Call to action: cardiovascular disease in Asian Americans: a science advisory from the American Heart Association.

Authors:  Latha P Palaniappan; Maria Rosario G Araneta; Themistocles L Assimes; Elizabeth L Barrett-Connor; Mercedes R Carnethon; Michael H Criqui; Gordon L Fung; K M Venkat Narayan; Hamang Patel; Ruth E Taylor-Piliae; Peter W F Wilson; Nathan D Wong
Journal:  Circulation       Date:  2010-08-23       Impact factor: 29.690

4.  A common variant in low-density lipoprotein receptor-related protein 6 gene (LRP6) is associated with LDL-cholesterol.

Authors:  Maciej Tomaszewski; Fadi J Charchar; Timothy Barnes; Magdalena Gawron-Kiszka; Agnieszka Sedkowska; Ewa Podolecka; Jacek Kowalczyk; Wendy Rathbone; Zbigniew Kalarus; Wladyslaw Grzeszczak; Alison H Goodall; Nilesh J Samani; Ewa Zukowska-Szczechowska
Journal:  Arterioscler Thromb Vasc Biol       Date:  2009-08-10       Impact factor: 8.311

5.  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

Review 6.  Genetic determinants of cardiometabolic risk: a proposed model for phenotype association and interaction.

Authors:  Piers R Blackett; Dharambir K Sanghera
Journal:  J Clin Lipidol       Date:  2012-04-22       Impact factor: 4.766

7.  Relationship of -55C/T polymorphism of uncoupling protein 3 (UCP3) gene with metabolic syndrome by ATP III classification.

Authors:  Daniel Antonio de Luis; Rocio Aller; Olatz Izaola; Manuel Gonzalez Sagrado; Rosa Conde; David Primo; Beatriz de la Fuente; Hilda F Ovalle; Marta Ruiz Mambrilla
Journal:  J Clin Lab Anal       Date:  2012-07       Impact factor: 2.352

8.  Linkage analysis incorporating gene-age interactions identifies seven novel lipid loci: the Family Blood Pressure Program.

Authors:  Jeannette Simino; Rezart Kume; Aldi T Kraja; Stephen T Turner; Craig L Hanis; Wayne Sheu; Ida Chen; Cashell Jaquish; Richard S Cooper; Aravinda Chakravarti; Thomas Quertermous; Eric Boerwinkle; Steven C Hunt; D C Rao
Journal:  Atherosclerosis       Date:  2014-04-26       Impact factor: 5.162

9.  Evaluating gene by sex and age interactions on cardiovascular risk factors in Brazilian families.

Authors:  Suely R Giolo; Alexandre C Pereira; Mariza de Andrade; José E Krieger; Júlia P Soler
Journal:  BMC Med Genet       Date:  2010-09-20       Impact factor: 2.103

10.  Heritability of insulin sensitivity and lipid profile depend on BMI: evidence for gene-obesity interaction.

Authors:  X Wang; X Ding; S Su; T D Spector; M Mangino; A Iliadou; H Snieder
Journal:  Diabetologia       Date:  2009-10-11       Impact factor: 10.122

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.