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. 2014 Jul 3;95(1):24-38.
doi: 10.1016/j.ajhg.2014.05.010. Epub 2014 Jun 19.

Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia

Jeannette Simino  1 Gang Shi  2 Joshua C Bis  3 Daniel I Chasman  4 Georg B Ehret  5 Xiangjun Gu  6 Xiuqing Guo  7 Shih-Jen Hwang  8 Eric Sijbrands  9 Albert V Smith  10 Germaine C Verwoert  11 Jennifer L Bragg-Gresham  12 Gemma Cadby  13 Peng Chen  14 Ching-Yu Cheng  15 Tanguy Corre  16 Rudolf A de Boer  17 Anuj Goel  18 Toby Johnson  19 Chiea-Chuen Khor  20 LifeLines Cohort StudyCarla Lluís-Ganella  21 Jian'an Luan  22 Leo-Pekka Lyytikäinen  23 Ilja M Nolte  24 Xueling Sim  25 Siim Sõber  26 Peter J van der Most  24 Niek Verweij  17 Jing Hua Zhao  22 Najaf Amin  27 Eric Boerwinkle  28 Claude Bouchard  29 Abbas Dehghan  27 Gudny Eiriksdottir  30 Roberto Elosua  31 Oscar H Franco  27 Christian Gieger  32 Tamara B Harris  33 Serge Hercberg  34 Albert Hofman  27 Alan L James  35 Andrew D Johnson  36 Mika Kähönen  37 Kay-Tee Khaw  38 Zoltan Kutalik  16 Martin G Larson  39 Lenore J Launer  33 Guo Li  3 Jianjun Liu  40 Kiang Liu  41 Alanna C Morrison  28 Gerjan Navis  42 Rick Twee-Hee Ong  14 George J Papanicolau  43 Brenda W Penninx  44 Bruce M Psaty  45 Leslie J Raffel  46 Olli T Raitakari  47 Kenneth Rice  48 Fernando Rivadeneira  11 Lynda M Rose  49 Serena Sanna  50 Robert A Scott  22 David S Siscovick  51 Ronald P Stolk  24 Andre G Uitterlinden  52 Dhananjay Vaidya  53 Melanie M van der Klauw  54 Ramachandran S Vasan  55 Eranga Nishanthie Vithana  56 Uwe Völker  57 Henry Völzke  58 Hugh Watkins  18 Terri L Young  59 Tin Aung  60 Murielle Bochud  61 Martin Farrall  18 Catharina A Hartman  62 Maris Laan  26 Edward G Lakatta  63 Terho Lehtimäki  23 Ruth J F Loos  64 Gavin Lucas  21 Pierre Meneton  65 Lyle J Palmer  66 Rainer Rettig  67 Harold Snieder  24 E Shyong Tai  68 Yik-Ying Teo  69 Pim van der Harst  70 Nicholas J Wareham  22 Cisca Wijmenga  71 Tien Yin Wong  60 Myriam Fornage  72 Vilmundur Gudnason  10 Daniel Levy  73 Walter Palmas  74 Paul M Ridker  4 Jerome I Rotter  7 Cornelia M van Duijn  75 Jacqueline C M Witteman  27 Aravinda Chakravarti  76 Dabeeru C Rao  77
Collaborators, Affiliations

Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia

Jeannette Simino et al. Am J Hum Genet. .

Abstract

Although age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p ≤ 5 × 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 × 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.

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Figures

Figure 1
Figure 1
Study Design for the Primary Analysis
Figure 2
Figure 2
Overview of Results from Each Stage of the Primary Analysis
Figure 3
Figure 3
CASZ1, EHBP1L1, GOSR2, the Three Loci Exhibiting the Largest SNP-Age Interactions during the Combined Metaregression of Stage 1 and Stage 2 Subgroups The figures display the SNP effect as a function of age. Study- and age bin-specific genetic effects from stage 1 and stage 2 are represented by red squares and blue circles, respectively, with the symbol size proportional to the inverse variance of the SNP main effect. The corresponding stage 1, stage 2, and combined consortia metaregressions are represented by red long-dashed, blue dashed-dotted, and green solid lines, respectively. The coded alleles of all three index SNPs are associated with increased blood pressure in the young but reduced blood pressure in the elderly.

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