Literature DB >> 3215507

Twin study of genetic and environmental effects on lipid levels.

D L O'Connell1, R F Heller, D C Roberts, J R Allen, J C Knapp, P L Steele, D Silove.   

Abstract

A study of 106 pairs of monozygotic (MZ) and 94 pairs of dizygotic (DZ) twins tested the hypothesis that part of the previously described genetic influence on blood lipid levels can be ascribed to closer similarities among MZ than among DZ twin pairs in environmental factors that affect lipid levels. Participants were adult twin volunteers (age 17-66; 64 male and 136 female pairs) who were selected from the NH & MRC Twin Registry or were respondents to advertisements. They completed a 4-day weighed food diary from which mean nutrient intake was derived. Information on lifestyle and demographic variables was obtained by questionnaire and a nonfasting blood sample was taken for measures of total, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol and the HDL2 and HDL3 subfractions. Height and weight were measured, and body mass index (BMI) was calculated (kg/m2). Estimates of the heritability of sex-adjusted lipid levels were 0.72 for total cholesterol, 0.79 for HDL cholesterol, 0.69 for HDL2, 0.20 for HDL3, 1.06 for LDL cholesterol, and 0.44 for sex-adjusted BMI. In all cases except for HDL3, genetic variance was statistically significant. After adjusting for the effects of environmental variables in three different ways, the estimates of heritability were somewhat lower for total cholesterol, HDL2, and BMI, and those for HDL cholesterol (borderline) and LDL cholesterol (definitely) remained statistically significant but were decreased. A genetic influence on HDL3 was not found. Adjusted heritability estimates obtained from one method of analysis were 0.35 for total cholesterol, 0.49 for HDL, 0.04 for HDL2, -0.34 for HDL3, 0.66 for LDL, and 0.32 for BMI. These results suggest that the assumptions made in the classical twin study approach are not appropriate when examining genetic effects on lipid levels or BMI, or indeed on any biological variable that may be affected by environmental factors that tend to be more similar in MZ twins than in DZ twins. In these circumstances, more complex models may be needed to differentiate between genetic and environmental influences.

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Year:  1988        PMID: 3215507     DOI: 10.1002/gepi.1370050504

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  12 in total

1.  Human pedigree-based quantitative-trait-locus mapping: localization of two genes influencing HDL-cholesterol metabolism.

Authors:  L Almasy; J E Hixson; D L Rainwater; S Cole; J T Williams; M C Mahaney; J L VandeBerg; M P Stern; J W MacCluer; J Blangero
Journal:  Am J Hum Genet       Date:  1999-06       Impact factor: 11.025

2.  Evidence of linkage of HDL level variation to APOC3 in two samples with different ascertainment.

Authors:  France Gagnon; Gail P Jarvik; Arno G Motulsky; Samir S Deeb; John D Brunzell; Ellen M Wijsman
Journal:  Hum Genet       Date:  2003-08-29       Impact factor: 4.132

3.  Social contact and sibling similarity: facts, issues, and red herrings.

Authors:  R J Rose; J Kaprio; C J Williams; R Viken; K Obremski
Journal:  Behav Genet       Date:  1990-11       Impact factor: 2.805

4.  The age dependency of gene expression for plasma lipids, lipoproteins, and apolipoproteins.

Authors:  H Snieder; L J van Doornen; D I Boomsma
Journal:  Am J Hum Genet       Date:  1997-03       Impact factor: 11.025

Review 5.  Common and rare alleles as causes of complex phenotypes.

Authors:  Constantin Polychronakos
Journal:  Curr Atheroscler Rep       Date:  2008-06       Impact factor: 5.113

6.  Type A personality in Australian twins.

Authors:  D L Duffy; V Manicavasagar; D O'Connell; D Silove; C Tennant; P Langelludecke
Journal:  Behav Genet       Date:  1994-09       Impact factor: 2.805

7.  Serum vitamins A and E as modifiers of lipid trait genetics in the National Health and Nutrition Examination Surveys as part of the Population Architecture using Genomics and Epidemiology (PAGE) study.

Authors:  Logan Dumitrescu; Robert Goodloe; Kristin Brown-Gentry; Ping Mayo; Melissa Allen; Hailing Jin; Niloufar B Gillani; Nathalie Schnetz-Boutaud; Holli H Dilks; Dana C Crawford
Journal:  Hum Genet       Date:  2012-06-12       Impact factor: 4.132

8.  Genetic and environmental influences on factors associated with cardiovascular disease and the metabolic syndrome.

Authors:  Sonya J Elder; Alice H Lichtenstein; Anastassios G Pittas; Susan B Roberts; Paul J Fuss; Andrew S Greenberg; Megan A McCrory; Thomas J Bouchard; Edward Saltzman; Michael C Neale
Journal:  J Lipid Res       Date:  2009-04-16       Impact factor: 5.922

9.  Large-scale candidate gene analysis of HDL particle features.

Authors:  Bernhard M Kaess; Maciej Tomaszewski; Peter S Braund; Klaus Stark; Suzanne Rafelt; Marcus Fischer; Robert Hardwick; Christopher P Nelson; Radoslaw Debiec; Fritz Huber; Werner Kremer; Hans Robert Kalbitzer; Lynda M Rose; Daniel I Chasman; Jemma Hopewell; Robert Clarke; Paul R Burton; Martin D Tobin; Christian Hengstenberg; Nilesh J Samani
Journal:  PLoS One       Date:  2011-01-21       Impact factor: 3.240

Review 10.  Lipoproteins, cholesterol homeostasis and cardiac health.

Authors:  Tyler F Daniels; Karen M Killinger; Jennifer J Michal; Raymond W Wright; Zhihua Jiang
Journal:  Int J Biol Sci       Date:  2009-06-29       Impact factor: 6.580

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