Literature DB >> 8722796

Genotype-environment interaction: apolipoprotein E (ApoE) gene effects and age as an index of time and spatial context in the human.

K E Zerba1, R E Ferrell, C F Sing.   

Abstract

We analyzed the age-dependence of the estimates of the parameters of the genetic architecture of plasma ApoE levels associated with ApoE gene variation. Our study sample included 1988 individuals in multigeneration pedigrees from the Rochester, MN, population. We used a 30-yr sliding window across the age range (5-90 yr) to estimate the age dependency of parameters. Additive ApoE allelic variance of transformed plasma ApoE values for both genders, heritabilities for males and phenotypic and residual variance for females peaked in the 20-40-yr age windows and decreased significantly with age (P < 0.05). Phenotypic and residual variance for males and dominance variance for both genders did not vary significantly with age. All parameter estimates were significantly different from zero across all age windows for both genders. Most studies of ApoE have focused on its functions in the pathophysiology of coronary artery disease (CAD) in middle-aged and older individuals. Our findings suggest the greatest role of this gene is in determining phenotype differences among younger and middle-aged individuals. These observed genotypic effects on the plasma ApoE levels may contribute to age-dependent differences in physiological health, growth, and risk of disease.

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Year:  1996        PMID: 8722796      PMCID: PMC1207278     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  23 in total

1.  Levels of lipids, lipoproteins, and apolipoproteins in a defined population.

Authors:  B A Kottke; P P Moll; V V Michels; W H Weidman
Journal:  Mayo Clin Proc       Date:  1991-12       Impact factor: 7.616

Review 2.  Genetic architecture of common multifactorial diseases.

Authors:  C F Sing; M B Haviland; S L Reilly
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Review 3.  On the metabolism of apolipoprotein E and the Alzheimer diseases.

Authors:  A D Roses
Journal:  Exp Neurol       Date:  1995-04       Impact factor: 5.330

4.  Human apolipoprotein E. The complete amino acid sequence.

Authors:  S C Rall; K H Weisgraber; R W Mahley
Journal:  J Biol Chem       Date:  1982-04-25       Impact factor: 5.157

5.  Apolipoprotein E polymorphism predicts death from coronary heart disease in a longitudinal study of elderly Finnish men.

Authors:  J H Stengård; K E Zerba; J Pekkanen; C Ehnholm; A Nissinen; C F Sing
Journal:  Circulation       Date:  1995-01-15       Impact factor: 29.690

6.  Apolipoprotein E polymorphism in a healthy Swedish population: variation of allele frequency with age and relation to serum lipid concentrations.

Authors:  G Eggertsen; R Tegelman; S Ericsson; B Angelin; L Berglund
Journal:  Clin Chem       Date:  1993-10       Impact factor: 8.327

7.  Apo E allele frequencies in younger (age 42-50) vs older (age 65-90) women.

Authors:  J A Cauley; J E Eichner; M I Kamboh; R E Ferrell; L H Kuller
Journal:  Genet Epidemiol       Date:  1993       Impact factor: 2.135

8.  The response to lovastatin treatment in patients with heterozygous familial hypercholesterolemia is modulated by apolipoprotein E polymorphism.

Authors:  R Carmena; G Roederer; H Mailloux; S Lussier-Cacan; J Davignon
Journal:  Metabolism       Date:  1993-07       Impact factor: 8.694

9.  The gender-specific apolipoprotein E genotype influence on the distribution of plasma lipids and apolipoproteins in the population of Rochester, Minnesota. II. Regression relationships with concomitants.

Authors:  S L Reilly; R E Ferrell; B A Kottke; C F Sing
Journal:  Am J Hum Genet       Date:  1992-12       Impact factor: 11.025

10.  Genetic influences on age-related change in total cholesterol, low density lipoprotein-cholesterol, and triglyceride levels: longitudinal apolipoprotein E genotype effects.

Authors:  G P Jarvik; M A Austin; R R Fabsitz; J Auwerx; T Reed; J C Christian; S Deeb
Journal:  Genet Epidemiol       Date:  1994       Impact factor: 2.135

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  9 in total

1.  A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation.

Authors:  M R Nelson; S L Kardia; R E Ferrell; C F Sing
Journal:  Genome Res       Date:  2001-03       Impact factor: 9.043

2.  Complex adaptive system models and the genetic analysis of plasma HDL-cholesterol concentration.

Authors:  Thomas J Rea; Christine M Brown; Charles F Sing
Journal:  Perspect Biol Med       Date:  2006       Impact factor: 1.416

3.  Flexible estimation of covariance function by penalized spline with application to longitudinal family data.

Authors:  Yuanjia Wang
Journal:  Stat Med       Date:  2011-04-13       Impact factor: 2.373

4.  Distilling pathophysiology from complex disease genetics.

Authors:  Aravinda Chakravarti; Andrew G Clark; Vamsi K Mootha
Journal:  Cell       Date:  2013-09-26       Impact factor: 41.582

5.  Evidence that the apolipoprotein E-genotype effects on lipid levels can change with age in males: a longitudinal analysis.

Authors:  G P Jarvik; E L Goode; M A Austin; J Auwerx; S Deeb; G D Schellenberg; T Reed
Journal:  Am J Hum Genet       Date:  1997-07       Impact factor: 11.025

6.  Gender- and age-specific contributions of additional DNA sequence variation in the 5' regulatory region of the APOE gene to prediction of measures of lipid metabolism.

Authors:  Ruth Frikke-Schmidt; Charles F Sing; Børge G Nordestgaard; Anne Tybjaerg-Hansen
Journal:  Hum Genet       Date:  2004-09       Impact factor: 4.132

7.  APOE and FABP2 Polymorphisms and History of Myocardial Infarction, Stroke, Diabetes, and Gallbladder Disease.

Authors:  Ikuko Kato; Susan Land; Jill Barnholtz-Sloan; Richard K Severson
Journal:  Cholesterol       Date:  2011-09-18

8.  A neural network model for constructing endophenotypes of common complex diseases: an application to male young-onset hypertension microarray data.

Authors:  Ke-Shiuan Lynn; Li-Lan Li; Yen-Ju Lin; Chiuen-Huei Wang; Shu-Hui Sheng; Ju-Hwa Lin; Wayne Liao; Wen-Lian Hsu; Wen-Harn Pan
Journal:  Bioinformatics       Date:  2009-02-23       Impact factor: 6.937

9.  Construction of gene clusters resembling genetic causal mechanisms for common complex disease with an application to young-onset hypertension.

Authors:  Ke-Shiuan Lynn; Chen-Hua Lu; Han-Ying Yang; Wen-Lian Hsu; Wen-Harn Pan
Journal:  BMC Genomics       Date:  2013-07-23       Impact factor: 3.969

  9 in total

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