OBJECTIVE: Leukotrienes (LT) play a role in inflammation, cardiovascular diseases, and cancer. Although some studies suggest that there are genes that determine variability of some LT-related phenotypes, the genetic influence on these phenotypes has not been evaluated. METHODS: The relative contributions of genetic and environmental influences to the 5-lipoxygenase pathway-related phenotypes (5-Lipoxygenase, five lipoxygenase activating protein (FLAP), LTA(4)-hydrolase and LTC(4)-synthase expression, and LTB(4)-plasma concentration and LTB(4) production by stimulated whole blood) were assessed in a sample of 934 individuals in 35 extended families. Our design is based on extended families recruited through a probands with idiopathic thrombophilia. This strategy allows us the analysis of the effects of measured covariates (such as sex, age and smoking), genes, and environmental variables shared by members of a household. RESULTS: All of these phenotypes showed significant genetic contributions, with heritabilities ranging from 0.33 to 0.51 for enzyme expression and from 0.25 to 0.50 for LTB(4) production of the residual phenotypic variance. Significant phenotypic and genetic correlation among the LT-related traits was found. More importantly, FLAP and LTA(4)-hydrolase expression exhibit significant genetic correlations with arterial thrombosis, indicating that some of the genes that influence quantitative variation in these phenotypes also influence the risk of thrombosis. CONCLUSION: This is the first study that quantifies the genetic component of 5-Lipoxygenase pathway phenotypes. The high heritability of these traits and the significant genetic correlations between arterial thrombosis and some of these phenotypes suggest that the exploitation of correlated quantitative phenotypes will aid the search for susceptibility genes.
OBJECTIVE:Leukotrienes (LT) play a role in inflammation, cardiovascular diseases, and cancer. Although some studies suggest that there are genes that determine variability of some LT-related phenotypes, the genetic influence on these phenotypes has not been evaluated. METHODS: The relative contributions of genetic and environmental influences to the 5-lipoxygenase pathway-related phenotypes (5-Lipoxygenase, five lipoxygenase activating protein (FLAP), LTA(4)-hydrolase and LTC(4)-synthase expression, and LTB(4)-plasma concentration and LTB(4) production by stimulated whole blood) were assessed in a sample of 934 individuals in 35 extended families. Our design is based on extended families recruited through a probands with idiopathic thrombophilia. This strategy allows us the analysis of the effects of measured covariates (such as sex, age and smoking), genes, and environmental variables shared by members of a household. RESULTS: All of these phenotypes showed significant genetic contributions, with heritabilities ranging from 0.33 to 0.51 for enzyme expression and from 0.25 to 0.50 for LTB(4) production of the residual phenotypic variance. Significant phenotypic and genetic correlation among the LT-related traits was found. More importantly, FLAP and LTA(4)-hydrolase expression exhibit significant genetic correlations with arterial thrombosis, indicating that some of the genes that influence quantitative variation in these phenotypes also influence the risk of thrombosis. CONCLUSION: This is the first study that quantifies the genetic component of 5-Lipoxygenase pathway phenotypes. The high heritability of these traits and the significant genetic correlations between arterial thrombosis and some of these phenotypes suggest that the exploitation of correlated quantitative phenotypes will aid the search for susceptibility genes.
Authors: David A Hinds; Alfonso Buil; Daniel Ziemek; Angel Martinez-Perez; Rainer Malik; Lasse Folkersen; Marine Germain; Anders Mälarstig; Andrew Brown; Jose Manuel Soria; Martin Dichgans; Nan Bing; Anders Franco-Cereceda; Juan Carlos Souto; Emmanouil T Dermitzakis; Anders Hamsten; Bradford B Worrall; Joyce Y Tung; Maria Sabater-Lleal Journal: Hum Mol Genet Date: 2016-02-09 Impact factor: 6.150
Authors: N C Olson; S Butenas; L A Lange; E M Lange; M Cushman; N S Jenny; J Walston; J C Souto; J M Soria; G Chauhan; S Debette; W T Longstreth; S Seshadri; A P Reiner; R P Tracy Journal: J Thromb Haemost Date: 2015-09-14 Impact factor: 5.824
Authors: Marek Postula; Piotr Kazimierz Janicki; Marek Rosiak; Ceren Eyileten; Małgorzata Zaremba; Agnieszka Kaplon-Cieslicka; Shigekazu Sugino; Dariusz Artur Kosior; Grzegorz Opolski; Krzysztof Jerzy Filipiak; Dagmara Mirowska-Guzel Journal: Exp Ther Med Date: 2016-05-11 Impact factor: 2.447
Authors: Laura Martin-Fernandez; Giovana Gavidia-Bovadilla; Irene Corrales; Helena Brunel; Lorena Ramírez; Sonia López; Juan Carlos Souto; Francisco Vidal; José Manuel Soria Journal: PLoS One Date: 2017-04-26 Impact factor: 3.240
Authors: Paul S de Vries; Maria Sabater-Lleal; Jennifer E Huffman; Jonathan Marten; Ci Song; Nathan Pankratz; Traci M Bartz; Hugoline G de Haan; Graciela E Delgado; John D Eicher; Angel Martinez-Perez; Cavin K Ward-Caviness; Jennifer A Brody; Ming-Huei Chen; Moniek P M de Maat; Mattias Frånberg; Dipender Gill; Marcus E Kleber; Fernando Rivadeneira; José Manuel Soria; Weihong Tang; Geoffrey H Tofler; André G Uitterlinden; Astrid van Hylckama Vlieg; Sudha Seshadri; Eric Boerwinkle; Neil M Davies; Anne-Katrin Giese; M Kamran Ikram; Steven J Kittner; Barbara McKnight; Bruce M Psaty; Alex P Reiner; Muralidharan Sargurupremraj; Kent D Taylor; Myriam Fornage; Anders Hamsten; Winfried März; Frits R Rosendaal; Juan Carlos Souto; Abbas Dehghan; Andrew D Johnson; Alanna C Morrison; Christopher J O'Donnell; Nicholas L Smith Journal: Blood Date: 2019-01-14 Impact factor: 25.476