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Title: Gene-environment interactions due to quantile-specific heritability of triglyceride and VLDL concentrations

Abstract

"Quantile-dependent expressivity" is a dependence of genetic effects on whether the phenotype (e.g., triglycerides) is high or low relative to its distribution in the population. Quantile-specific offspring-parent regression slopes (βOP) were estimated by quantile regression for 6227 offspring-parent pairs. Quantile-specific heritability (h2), estimated by 2βOP/(1 + $$\Gamma$$ spouse), decreased 0.0047 ± 0.0007 (P = 2.9 × 10-14) for each one-percent decrement in fasting triglyceride concentrations, i.e., h2 ± SE were: 0.428 ± 0.059, 0.230 ± 0.030, 0.111 ± 0.015, 0.050 ± 0.016, and 0.033 ± 0.010 at the 90th, 75th, 50th, 25th, and 10th percentiles of the triglyceride distribution, respectively. Consistent with quantile-dependent expressivity, 11 drug studies report smaller genotype differences at lower (post-treatment) than higher (pre-treatment) triglyceride concentrations. This meant genotype-specific triglyceride changes could not move in parallel when triglycerides were decreased pharmacologically, so that subtracting pre-treatment from post-treatment triglyceride levels necessarily created a greater triglyceride decrease for the genotype with a higher pre-treatment value (purported precision-medicine genetic markers). In addition, sixty-five purported gene-environment interactions were found to be potentially attributable to triglyceride's quantile-dependent expressivity, including gene-adiposity (APOA5, APOB, APOE, GCKR, IRS-1, LPL, MTHFR, PCSK9, PNPLA3, PPARγ2), gene-exercise (APOA1, APOA2, LPL), gene-diet (APOA5, APOE, INSIG2, LPL, MYB, NXPH1, PER2, TNFA), gene-alcohol (ALDH2, APOA5, APOC3, CETP, LPL), gene-smoking (APOC3, CYBA, LPL, USF1), gene-pregnancy (LPL), and gene-insulin resistance interactions (APOE, LPL).

Authors:
 [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Molecular Biophysics & Integrated Bioimaging Division
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Heart, Lung, and Blood Institute (NHLBI); Boston University; National Institutes of Health (NIH)
OSTI Identifier:
1615321
Grant/Contract Number:  
AC02-05CH11231; N01-HC-25195; HHSN268201500001I; R21ES020700
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Williams, Paul T. Gene-environment interactions due to quantile-specific heritability of triglyceride and VLDL concentrations. United States: N. p., 2020. Web. doi:10.1038/s41598-020-60965-9.
Williams, Paul T. Gene-environment interactions due to quantile-specific heritability of triglyceride and VLDL concentrations. United States. https://doi.org/10.1038/s41598-020-60965-9
Williams, Paul T. Wed . "Gene-environment interactions due to quantile-specific heritability of triglyceride and VLDL concentrations". United States. https://doi.org/10.1038/s41598-020-60965-9. https://www.osti.gov/servlets/purl/1615321.
@article{osti_1615321,
title = {Gene-environment interactions due to quantile-specific heritability of triglyceride and VLDL concentrations},
author = {Williams, Paul T.},
abstractNote = {"Quantile-dependent expressivity" is a dependence of genetic effects on whether the phenotype (e.g., triglycerides) is high or low relative to its distribution in the population. Quantile-specific offspring-parent regression slopes (βOP) were estimated by quantile regression for 6227 offspring-parent pairs. Quantile-specific heritability (h2), estimated by 2βOP/(1 + $\Gamma$ spouse), decreased 0.0047 ± 0.0007 (P = 2.9 × 10-14) for each one-percent decrement in fasting triglyceride concentrations, i.e., h2 ± SE were: 0.428 ± 0.059, 0.230 ± 0.030, 0.111 ± 0.015, 0.050 ± 0.016, and 0.033 ± 0.010 at the 90th, 75th, 50th, 25th, and 10th percentiles of the triglyceride distribution, respectively. Consistent with quantile-dependent expressivity, 11 drug studies report smaller genotype differences at lower (post-treatment) than higher (pre-treatment) triglyceride concentrations. This meant genotype-specific triglyceride changes could not move in parallel when triglycerides were decreased pharmacologically, so that subtracting pre-treatment from post-treatment triglyceride levels necessarily created a greater triglyceride decrease for the genotype with a higher pre-treatment value (purported precision-medicine genetic markers). In addition, sixty-five purported gene-environment interactions were found to be potentially attributable to triglyceride's quantile-dependent expressivity, including gene-adiposity (APOA5, APOB, APOE, GCKR, IRS-1, LPL, MTHFR, PCSK9, PNPLA3, PPARγ2), gene-exercise (APOA1, APOA2, LPL), gene-diet (APOA5, APOE, INSIG2, LPL, MYB, NXPH1, PER2, TNFA), gene-alcohol (ALDH2, APOA5, APOC3, CETP, LPL), gene-smoking (APOC3, CYBA, LPL, USF1), gene-pregnancy (LPL), and gene-insulin resistance interactions (APOE, LPL).},
doi = {10.1038/s41598-020-60965-9},
journal = {Scientific Reports},
number = 1,
volume = 10,
place = {United States},
year = {Wed Mar 11 00:00:00 EDT 2020},
month = {Wed Mar 11 00:00:00 EDT 2020}
}

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Free Publicly Available Full Text
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Figures / Tables:

Table 1 Table 1: Traditional and quantile regression analyses of triglycerides and very low density lipoprotein (VLDL)cholesterol from the Offspring and Third Generation Framingham Cohorts. Triglycerides and log triglycerides: 1174 offspring with one parent and 2507 with two parents, and 6176 full siblings in 2187 sibships; VLDLcholesterol: 2840 full siblings in 1029more » sibships.« less

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Variants Identified in a GWAS Meta-Analysis for Blood Lipids Are Associated with the Lipid Response to Fenofibrate
journal, October 2012


Apolipoprotein E polymorphism in non-insulin-dependent diabetics of Mumbai, India and its effect on plasma lipids and lipoproteins
journal, March 2000

  • Inamdar, P. A.; Kelkar, S. M.; Devasagayam, T. P. A.
  • Diabetes Research and Clinical Practice, Vol. 47, Issue 3
  • DOI: 10.1016/s0168-8227(99)00126-6

Genetic Variants Associated With Plasma Lipids Are Associated With the Lipid Response to Niacin
journal, October 2018

  • Tuteja, Sony; Qu, Liming; Vujkovic, Marijana
  • Journal of the American Heart Association, Vol. 7, Issue 19
  • DOI: 10.1161/jaha.117.008461

Interaction Effects of Lipoprotein Lipase Polymorphisms with Lifestyle on Lipid Levels in a Korean Population: A Cross-sectional Study
journal, January 2012

  • Pyun, Jung-A; Kim, Sunshin; Park, KyungChae
  • Genomics & Informatics, Vol. 10, Issue 2
  • DOI: 10.5808/GI.2012.10.2.88

A Period 2 Genetic Variant Interacts with Plasma SFA to Modify Plasma Lipid Concentrations in Adults with Metabolic Syndrome
journal, May 2012

  • Garcia-Rios, Antonio; Perez-Martinez, Pablo; Delgado-Lista, Javier
  • The Journal of Nutrition, Vol. 142, Issue 7
  • DOI: 10.3945/jn.111.156968

Lipoprotein lipase gene S447X polymorphism modulates the relation between central obesity and serum lipids, a twin study
journal, March 2006

  • Huang, A. Q.; Hu, Y. H.; Zhan, S. Y.
  • International Journal of Obesity, Vol. 30, Issue 12
  • DOI: 10.1038/sj.ijo.0803332

Quantile Regression
journal, November 2001

  • Koenker, Roger; Hallock, Kevin F.
  • Journal of Economic Perspectives, Vol. 15, Issue 4
  • DOI: 10.1257/jep.15.4.143

Interaction of Insulin Resistance and Related Genetic Variants With Triglyceride-Associated Genetic Variants
journal, April 2016


Gender-specific interactions of MTHFR C677T and MTRR A66G polymorphisms with overweight/obesity on serum lipid levels in a Chinese Han population
journal, October 2016


Quantile-Specific Penetrance of Genes Affecting Lipoproteins, Adiposity and Height
journal, January 2012


Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.