Genetic risk scores associated with baseline lipoprotein subfraction concentrations do not associate with their responses to fenofibrate
Lipoprotein subclass concentrations are modifiable markers of cardiovascular disease risk. Fenofibrate is known to show beneficial effects on lipoprotein subclasses, but little is known about the role of genetics in mediating the responses of lipoprotein subclasses to fenofibrate. A recent genomewid...
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Published in | Biology (Basel, Switzerland) Vol. 3; no. 3; pp. 536 - 550 |
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25.08.2014
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Abstract | Lipoprotein subclass concentrations are modifiable markers of cardiovascular disease risk. Fenofibrate is known to show beneficial effects on lipoprotein subclasses, but little is known about the role of genetics in mediating the responses of lipoprotein subclasses to fenofibrate. A recent genomewide association study (GWAS) associated several single nucleotide polymorphisms (SNPs) with lipoprotein measures, and validated these associations in two independent populations. We used this information to construct genetic risk scores (GRSs) for fasting lipoprotein measures at baseline (pre-fenofibrate), and aimed to examine whether these GRSs also associated with the responses of lipoproteins to fenofibrate. Fourteen lipoprotein subclass measures were assayed in 817 men and women before and after a three week fenofibrate trial. We set significance at a Bonferroni corrected alpha <0.05 (p < 0.004). Twelve subclass measures changed with fenofibrate administration (each p = 0.003 to <0.0001). Mixed linear models which controlled for age, sex, body mass index (BMI), smoking status, pedigree and study-center, revealed that GRSs were associated with eight baseline lipoprotein measures (p < 0.004), however no GRS was associated with fenofibrate response. These results suggest that the mechanisms for changes in lipoprotein subclass concentrations with fenofibrate treatment are not mediated by the genetic risk for fasting levels. |
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AbstractList | Lipoprotein subclass concentrations are modifiable markers of cardiovascular disease risk. Fenofibrate is known to show beneficial effects on lipoprotein subclasses, but little is known about the role of genetics in mediating the responses of lipoprotein subclasses to fenofibrate. A recent genomewide association study (GWAS) associated several single nucleotide polymorphisms (SNPs) with lipoprotein measures, and validated these associations in two independent populations. We used this information to construct genetic risk scores (GRSs) for fasting lipoprotein measures at baseline (pre-fenofibrate), and aimed to examine whether these GRSs also associated with the responses of lipoproteins to fenofibrate. Fourteen lipoprotein subclass measures were assayed in 817 men and women before and after a three week fenofibrate trial. We set significance at a Bonferroni corrected alpha <0.05 (
p
< 0.004). Twelve subclass measures changed with fenofibrate administration (each
p
= 0.003 to <0.0001). Mixed linear models which controlled for age, sex, body mass index (BMI), smoking status, pedigree and study-center, revealed that GRSs were associated with eight baseline lipoprotein measures (
p
< 0.004), however no GRS was associated with fenofibrate response. These results suggest that the mechanisms for changes in lipoprotein subclass concentrations with fenofibrate treatment are not mediated by the genetic risk for fasting levels. Lipoprotein subclass concentrations are modifiable markers of cardiovascular disease risk. Fenofibrate is known to show beneficial effects on lipoprotein subclasses, but little is known about the role of genetics in mediating the responses of lipoprotein subclasses to fenofibrate. A recent genomewide association study (GWAS) associated several single nucleotide polymorphisms (SNPs) with lipoprotein measures, and validated these associations in two independent populations. We used this information to construct genetic risk scores (GRSs) for fasting lipoprotein measures at baseline (pre-fenofibrate), and aimed to examine whether these GRSs also associated with the responses of lipoproteins to fenofibrate. Fourteen lipoprotein subclass measures were assayed in 817 men and women before and after a three week fenofibrate trial. We set significance at a Bonferroni corrected alpha <0.05 (p < 0.004). Twelve subclass measures changed with fenofibrate administration (each p = 0.003 to <0.0001). Mixed linear models which controlled for age, sex, body mass index (BMI), smoking status, pedigree and study-center, revealed that GRSs were associated with eight baseline lipoprotein measures (p < 0.004), however no GRS was associated with fenofibrate response. These results suggest that the mechanisms for changes in lipoprotein subclass concentrations with fenofibrate treatment are not mediated by the genetic risk for fasting levels. |
Author | Wojczynski, Mary K Tsai, Micheal Y Lai, Chao-Qiang Arnett, Donna K Borecki, Ingrid B Frazier-Wood, Alexis C Tiwari, Hemant K Ordovas, Jose M Hopkins, Paul N Straka, Robert J |
AuthorAffiliation | 5 The Department of Epidemiology and Population Genetics. Centro Nacional Investigación Cardiovasculares (CNIC), Madrid 28029, Spain 1 USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, USA 7 Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA; E-Mail: strak001@umn.edu 10 Department of Epidemiology, University of Alabama at Birmingham, School of Public Health, AL 35294, USA; E-Mail: arnett@uab.edu 4 Nutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA; E-Mails: chao.lai@tufts.edu (C.Q.L.); jordov01@tufts.edu (J.M.O.) 8 Department of Laboratory Medicine and Pathology, University of Minnesota, MN55455, USA; E-Mail: tsaix001@umn.edu 2 Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA; E-Mails: mwojczyn@dsgmail.wustl.edu (M.K.W.); iborec |
AuthorAffiliation_xml | – name: 10 Department of Epidemiology, University of Alabama at Birmingham, School of Public Health, AL 35294, USA; E-Mail: arnett@uab.edu – name: 8 Department of Laboratory Medicine and Pathology, University of Minnesota, MN55455, USA; E-Mail: tsaix001@umn.edu – name: 9 Section on Statistical Genetics, University of Alabama at Birmingham, School of Public Health, AL 35294, USA; E-Mail: htiwari@uab.edu – name: 1 USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, USA – name: 2 Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA; E-Mails: mwojczyn@dsgmail.wustl.edu (M.K.W.); iborecki@wustl.edu (I.B.B.) – name: 4 Nutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA; E-Mails: chao.lai@tufts.edu (C.Q.L.); jordov01@tufts.edu (J.M.O.) – name: 6 IMDEA Food, Madrid 28049, Spain – name: 3 Department of Internal Medicine, University of Utah, Salt Lake City, UT 84132, USA; E-Mail: paul.hopkins@utah.edu – name: 5 The Department of Epidemiology and Population Genetics. Centro Nacional Investigación Cardiovasculares (CNIC), Madrid 28029, Spain – name: 7 Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA; E-Mail: strak001@umn.edu |
Author_xml | – sequence: 1 givenname: Alexis C surname: Frazier-Wood fullname: Frazier-Wood, Alexis C email: LekkiWood@Gmail.com organization: USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, USA. LekkiWood@Gmail.com – sequence: 2 givenname: Mary K surname: Wojczynski fullname: Wojczynski, Mary K email: mwojczyn@dsgmail.wustl.edu organization: Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA. mwojczyn@dsgmail.wustl.edu – sequence: 3 givenname: Ingrid B surname: Borecki fullname: Borecki, Ingrid B email: iborecki@wustl.edu organization: Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA. iborecki@wustl.edu – sequence: 4 givenname: Paul N surname: Hopkins fullname: Hopkins, Paul N email: paul.hopkins@utah.edu organization: Department of Internal Medicine, University of Utah, Salt Lake City, UT 84132, USA. paul.hopkins@utah.edu – sequence: 5 givenname: Chao-Qiang surname: Lai fullname: Lai, Chao-Qiang email: chao.lai@tufts.edu organization: Nutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA. chao.lai@tufts.edu – sequence: 6 givenname: Jose M surname: Ordovas fullname: Ordovas, Jose M email: jordov01@tufts.edu organization: Nutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA. jordov01@tufts.edu – sequence: 7 givenname: Robert J surname: Straka fullname: Straka, Robert J email: strak001@umn.edu organization: Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA. strak001@umn.edu – sequence: 8 givenname: Micheal Y surname: Tsai fullname: Tsai, Micheal Y email: tsaix001@umn.edu organization: Department of Laboratory Medicine and Pathology, University of Minnesota, MN55455, USA. tsaix001@umn.edu – sequence: 9 givenname: Hemant K surname: Tiwari fullname: Tiwari, Hemant K email: htiwari@uab.edu organization: Section on Statistical Genetics, University of Alabama at Birmingham, School of Public Health, AL 35294, USA. htiwari@uab.edu – sequence: 10 givenname: Donna K surname: Arnett fullname: Arnett, Donna K email: arnett@uab.edu organization: USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, USA. arnett@uab.edu |
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Snippet | Lipoprotein subclass concentrations are modifiable markers of cardiovascular disease risk. Fenofibrate is known to show beneficial effects on lipoprotein... |
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StartPage | 536 |
SubjectTerms | candidate gene study fenofibrate genetic risk score GOLDN HDL size LDL size lipoprotein NMR particle size pharmacogenetics |
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Title | Genetic risk scores associated with baseline lipoprotein subfraction concentrations do not associate with their responses to fenofibrate |
URI | https://www.ncbi.nlm.nih.gov/pubmed/25157911 https://search.proquest.com/docview/1558521552 https://pubmed.ncbi.nlm.nih.gov/PMC4192626 https://doaj.org/article/92b791fb2fe04b27b440e7ad9c6159a9 |
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