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Meta-Analysis
. 2014 Dec 31;9(12):e111156.
doi: 10.1371/journal.pone.0111156. eCollection 2014.

No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects

Jens Baumert  1 Jie Huang  2 Barbara McKnight  3 Maria Sabater-Lleal  4 Maristella Steri  5 Audrey Y Chu  6 Stella Trompet  7 Lorna M Lopez  8 Myriam Fornage  9 Alexander Teumer  10 Weihong Tang  11 Alicja R Rudnicka  12 Anders Mälarstig  4 Jouke-Jan Hottenga  13 Maryam Kavousi  14 Jari Lahti  15 Toshiko Tanaka  16 Caroline Hayward  17 Jennifer E Huffman  17 Pierre-Emmanuel Morange  18 Lynda M Rose  6 Saonli Basu  19 Ann Rumley  20 David J Stott  21 Brendan M Buckley  22 Anton J M de Craen  23 Serena Sanna  5 Marco Masala  5 Reiner Biffar  24 Georg Homuth  10 Angela Silveira  4 Bengt Sennblad  25 Anuj Goel  26 Hugh Watkins  26 Martina Müller-Nurasyid  27 Regina Rückerl  28 Kent Taylor  29 Ming-Huei Chen  30 Eco J C de Geus  31 Albert Hofman  14 Jacqueline C M Witteman  14 Moniek P M de Maat  31 Aarno Palotie  32 Gail Davies  8 David S Siscovick  33 Ivana Kolcic  34 Sarah H Wild  35 Jaejoon Song  19 Wendy L McArdle  36 Ian Ford  37 Naveed Sattar  38 David Schlessinger  39 Anne Grotevendt  40 Maria Grazia Franzosi  41 Thomas Illig  42 Melanie Waldenberger  43 Thomas Lumley  44 Geoffrey H Tofler  45 Gonneke Willemsen  13 André G Uitterlinden  46 Fernando Rivadeneira  47 Katri Räikkönen  48 Daniel I Chasman  47 Aaron R Folsom  11 Gordon D Lowe  49 Rudi G J Westendorp  23 P Eline Slagboom  50 Francesco Cucca  5 Henri Wallaschofski  51 Rona J Strawbridge  4 Udo Seedorf  52 Wolfgang Koenig  53 Joshua C Bis  54 Kenneth J Mukamal  55 Jenny van Dongen  13 Elisabeth Widen  56 Oscar H Franco  14 John M Starr  57 Kiang Liu  58 Luigi Ferrucci  16 Ozren Polasek  33 James F Wilson  34 Tiphaine Oudot-Mellakh  59 Harry Campbell  34 Pau Navarro  17 Stefania Bandinelli  60 Johan Eriksson  61 Dorret I Boomsma  13 Abbas Dehghan  14 Robert Clarke  62 Anders Hamsten  4 Eric Boerwinkle  63 J Wouter Jukema  64 Silvia Naitza  5 Paul M Ridker  65 Henry Völzke  66 Ian J Deary  8 Alexander P Reiner  67 David-Alexandre Trégouët  59 Christopher J O'Donnell  68 David P Strachan  12 Annette Peters  69 Nicholas L Smith  70
Affiliations
Meta-Analysis

No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects

Jens Baumert et al. PLoS One. .

Abstract

Plasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2 × 10(-8). This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.

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Conflict of interest statement

Competing Interests: The authors have the following interests: The Framingham Heart Study (FHS) was supported by the National Heart, Lung and Blood Institute's Framingham Heart Study (Contract No. N01-HC-25195) and its contract with Affymetrix, Inc for genotyping services (Contract No. N02-HL-6-4278). The PROSPER/PHASE study was supported by an investigator initiated grant obtained from Bristol-Myers Squibb. Dr. Kavousi is supported by AXA Research Fund. Oscar H. Franco works in ErasmusAGE, a center for aging research across the life course funded by Nestle Nutrition (Nestec Ltd), Metagenics Inc, and AXA. Part of the SHIP study was funded by a joint grant from Siemens Healthcare, Erlangen, Germany and the Federal State of Mecklenburg West Pomerania. The University of Greifswald is a member of the ‘Center of Knowledge Interchange’ program of the Siemens AG and the Caché Campus program of the InterSystems GmbH. There are no patents, products in development or marketed products to declare. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors at the time of submission.

Figures

Figure 1
Figure 1. Association of environmental factors with fibrinogen concentration (in g/L), adjusted for age and sex.
A) Forest plot for smoking status. The beta estimate with 95% confidence intervals indicates the change in mean fibrinogen concentration (in g/L) by smoking status for each study and across all studies (“overall”, estimated by meta-analysis). B) Forest plot for alcohol consumption. The beta estimate with 95% confidence intervals indicates the change in mean fibrinogen concentration (in g/L) by alcohol consumption for each study and across all studies (“overall”, estimated by meta-analysis). Alcohol consumption was assessed only in 20 studies. C) Forest plot for BMI. The beta estimate with 95% confidence intervals indicates the change in mean fibrinogen concentration (in g/L) by BMI for each study and across all studies (“overall”, estimated by meta-analysis).
Figure 2
Figure 2. Interaction of gene variants and environmental factors on fibrinogen concentration (in g/L), adjusted for age and sex.
A) Manhattan plot for smoking status. The horizontal axis denotes chromosome and position of each gene variant and the vertical axis gives the negative log10 of the p value for interaction of each gene variant and smoking status on fibrinogen concentration (in g/L), estimated by meta-analyses. The dotted line denotes genome-wide significance (5.0×10−8). B) Manhattan plot for alcohol consumption. The horizontal axis denotes chromosome and position of each gene variant and the vertical axis gives the negative log10 of the p value for interaction of each gene variant and alcohol consumption on fibrinogen concentration (in g/L), estimated by meta-analyses. The dotted line denotes genome-wide significance (5.0×10−8). Alcohol consumption was assessed only in 20 studies. C) Manhattan plot for BMI. The horizontal axis denotes chromosome and position of each gene variant and the vertical axis gives the negative log10 of the p value for interaction of each gene variant and BMI on fibrinogen concentration (in g/L), estimated by meta-analyses. The dotted line denotes genome-wide significance (5.0×10−8).

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