Gene-Age Interactions in Blood Pressure Regulation: A Large-Scale Investigation with the CHARGE, Global BPgen, and ICBP Consortia
Author(s) -
Jeannette Simino,
Gang Shi,
Joshua C. Bis,
Daniel I. Chasman,
Georg Ehret,
Xiangjun Gu,
Xiuqing Guo,
Shih-Jen Hwang,
Eric J.G. Sijbrands,
Albert V. Smith,
Germaine C. Verwoert,
Jennifer L. BraggGresham,
Gemma Cadby,
Peng Chen,
ChingYu Cheng,
Tanguy Corre,
Rudolf A. de Boer,
Anuj Goel,
Toby Johnson,
Chiea Chuen Khor,
Carla Lluís-Ganella,
Jian’an Luan,
LeoPekka Lyytikäinen,
Ilja M. Nolte,
Xueling Sim,
Siim Sõber,
Peter J. van der Most,
Niek Verweij,
Jing Hua Zhao,
Najaf Amin,
Eric Boerwinkle,
Claude Bouchard,
Abbas Dehghan,
Guðný Eiríksdóttir,
Roberto Elosúa,
Oscar H. Franco,
Christian Gieger,
Tamara B. Harris,
Serge Herçberg,
Albert Hofman,
Anthony James,
Andrew D. Johnson,
Mika Kähönen,
KayTee Khaw,
Zoltán Kutalik,
Martin G. Larson,
Lenore J. Launer,
Li Guo,
Jianjun Liu,
Kiang Liu,
Alanna C. Morrison,
Gerjan Navis,
Rick TweeHee Ong,
George J. Papanicolau,
Brenda W.J.H. Penninx,
Bruce M. Psaty,
Leslie J. Raffel,
Olli T. Raitakari,
Kenneth Rice,
Fernando Rivadeneira,
Lynda M. Rose,
Serena Sanna,
Robert A. Scott,
David S. Siscovick,
Ronald P. Stolk,
André G. Uitterlinden,
Dhananjay Vaidya,
Melanie M. van der Klauw,
Ramachandran S. Vasan,
Eranga N. Vithana,
Uwe Völker,
Henry Völzke,
Hugh Watkins,
Terri L. Young,
Tin Aung,
Murielle Bochud,
Martin Farrall,
Catharina A. Hartman,
Maris Laan,
Edward G. Lakatta,
Terho Lehtimäki,
Ruth J. F. Loos,
Gavin Lucas,
Pierre Meneton,
Lyle J. Palmer,
Rainer Rettig,
Harold Snieder,
E Shyong Tai,
Yik-Ying Teo,
Pim van der Harst,
Nicholas J. Wareham,
Cisca Wijmenga,
Tien Yin Wong,
Myriam Fornage,
Vilmundur Guðnason,
Daniel Levy,
Walter Palmas,
Paul M. Ridker,
Jerome I. Rotter,
Cornelia M. van Duijn,
Jacqueline C.M. Witteman,
Aravinda Chakravarti,
D. C. Rao,
Behrooz Z. Alizadeh,
H. Marike Boezen,
Marcel Bruinenberg,
Lude Franke,
Hans L. Hillege,
Johan Ormel,
Dirkje S. Postma,
Judith G.M. Rosmalen,
Joris P. J. Slaets,
Bruce H. R. Wolffenbuttel
Publication year - 2014
Publication title -
the american journal of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.661
H-Index - 302
eISSN - 1537-6605
pISSN - 0002-9297
DOI - 10.1016/j.ajhg.2014.05.010
Subject(s) - snp , genome wide association study , single nucleotide polymorphism , locus (genetics) , biology , blood pressure , genetics , gene , evolutionary biology , genotype , endocrinology
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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