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Longitudinal Genome-Wide Association of Cardiovascular Disease Risk Factors in the Bogalusa Heart Study


Cardiovascular disease (CVD) is the leading cause of death worldwide. Recent genome-wide association (GWA) studies have pinpointed many loci associated with CVD risk factors in adults. It is unclear, however, if these loci predict trait levels at all ages, if they are associated with how a trait develops over time, or if they could be used to screen individuals who are pre-symptomatic to provide the opportunity for preventive measures before disease onset. We completed a genome-wide association study on participants in the longitudinal Bogalusa Heart Study (BHS) and have characterized the association between genetic factors and the development of CVD risk factors from childhood to adulthood. We report 7 genome-wide significant associations involving CVD risk factors, two of which have been previously reported. Top regions were tested for replication in the Young Finns Study (YF) and two associations strongly replicated: rs247616 in CETP with HDL levels (combined P = 9.7×10−24), and rs445925 at APOE with LDL levels (combined P = 8.7×10−19). We show that SNPs previously identified in adult cross-sectional studies tend to show age-independent effects in the BHS with effect sizes consistent with previous reports. Previously identified variants were associated with adult trait levels above and beyond those seen in childhood; however, variants with time-dependent effects were also promising predictors. This is the first GWA study to evaluate the role of common genetic variants in the development of CVD risk factors in children as they advance through adulthood and highlights the utility of using longitudinal studies to identify genetic predictors of adult traits in children.


Vyšlo v časopise: Longitudinal Genome-Wide Association of Cardiovascular Disease Risk Factors in the Bogalusa Heart Study. PLoS Genet 6(9): e32767. doi:10.1371/journal.pgen.1001094
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1001094

Souhrn

Cardiovascular disease (CVD) is the leading cause of death worldwide. Recent genome-wide association (GWA) studies have pinpointed many loci associated with CVD risk factors in adults. It is unclear, however, if these loci predict trait levels at all ages, if they are associated with how a trait develops over time, or if they could be used to screen individuals who are pre-symptomatic to provide the opportunity for preventive measures before disease onset. We completed a genome-wide association study on participants in the longitudinal Bogalusa Heart Study (BHS) and have characterized the association between genetic factors and the development of CVD risk factors from childhood to adulthood. We report 7 genome-wide significant associations involving CVD risk factors, two of which have been previously reported. Top regions were tested for replication in the Young Finns Study (YF) and two associations strongly replicated: rs247616 in CETP with HDL levels (combined P = 9.7×10−24), and rs445925 at APOE with LDL levels (combined P = 8.7×10−19). We show that SNPs previously identified in adult cross-sectional studies tend to show age-independent effects in the BHS with effect sizes consistent with previous reports. Previously identified variants were associated with adult trait levels above and beyond those seen in childhood; however, variants with time-dependent effects were also promising predictors. This is the first GWA study to evaluate the role of common genetic variants in the development of CVD risk factors in children as they advance through adulthood and highlights the utility of using longitudinal studies to identify genetic predictors of adult traits in children.


Zdroje

1. 2007 NHLBI morbidity and mortality chartbook Bethesda, MD National Heart, Lung, and Blood Institute

2. BonowRO

2002 Primary prevention of cardiovascular disease: a call to action. Circulation 106 3140 3141

3. MathersCD

LoncarD

2006 Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 3 e442

4. MurrayCJ

LopezAD

1997 Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study. Lancet 349 1436 1442

5. AulchenkoYS

RipattiS

LindqvistI

BoomsmaD

HeidIM

2009 Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts. Nat Genet 41 47 55

6. KathiresanS

WillerCJ

PelosoGM

DemissieS

MusunuruK

2009 Common variants at 30 loci contribute to polygenic dyslipidemia. Nat Genet 41 56 65

7. Newton-ChehC

JohnsonT

GatevaV

TobinMD

BochudM

2009 Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet 41 666 676

8. LevyD

EhretGB

RiceK

VerwoertGC

LaunerLJ

2009 Genome-wide association study of blood pressure and hypertension. Nat Genet 41 677 687

9. SabattiC

ServiceSK

HartikainenAL

PoutaA

RipattiS

2009 Genome-wide association analysis of metabolic traits in a birth cohort from a founder population. Nat Genet 41 35 46

10. WillerCJ

SannaS

JacksonAU

ScuteriA

BonnycastleLL

2008 Newly identified loci that influence lipid concentrations and risk of coronary artery disease. Nat Genet 40 161 169

11. KeatingBJ

TischfieldS

MurraySS

BhangaleT

PriceTS

2008 Concept, design and implementation of a cardiovascular gene-centric 50 k SNP array for large-scale genomic association studies. PLoS ONE 3 e3583

12. ScottLJ

MohlkeKL

BonnycastleLL

WillerCJ

LiY

2007 A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science 316 1341 1345

13. Jose PinheiroDB

DebRoySaikat

SarkarDeepayan

the R Core team 2009 nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-93

14. WalmsleyTA

PotterHC

GeorgePM

FlorkowskiCM

2008 Pseudo-hypertriglyceridaemia: a measurement artefact due to glycerol kinase deficiency. Postgrad Med J 84 552 554

15. SulimanSG

StanikJ

McCullochLJ

WilsonN

EdghillEL

2009 Severe insulin resistance and intrauterine growth deficiency associated with haploinsufficiency for INSR and CHN2: new insights into synergistic pathways involved in growth and metabolism. Diabetes 58 2954 2961

16. BrainSD

WilliamsTJ

TippinsJR

MorrisHR

MacIntyreI

1985 Calcitonin gene-related peptide is a potent vasodilator. Nature 313 54 56

17. SanoM

KuroiN

NakayamaT

SatoN

IzumiY

2005 Association study of calcitonin-receptor-like receptor gene in essential hypertension. Am J Hypertens 18 403 408

18. Bouatia-NajiN

BonnefondA

Cavalcanti-ProencaC

SparsoT

HolmkvistJ

2009 A variant near MTNR1B is associated with increased fasting plasma glucose levels and type 2 diabetes risk. Nat Genet 41 89 94

19. BennetAM

Di AngelantonioE

YeZ

WensleyF

DahlinA

2007 Association of apolipoprotein E genotypes with lipid levels and coronary risk. JAMA 298 1300 1311

20. KathiresanS

MelanderO

GuiducciC

SurtiA

BurttNP

2008 Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans. Nat Genet 40 189 197

21. RaitakariOT

JuonalaM

RonnemaaT

Keltikangas-JarvinenL

RasanenL

2008 Cohort profile: the cardiovascular risk in Young Finns Study. Int J Epidemiol 37 1220 1226

22. EberleMA

NgPC

KuhnK

ZhouL

PeifferDA

2007 Power to detect risk alleles using genome-wide tag SNP panels. PLoS Genet 3 1827 1837

23. TeoYY

InouyeM

SmallKS

GwilliamR

DeloukasP

2007 A genotype calling algorithm for the Illumina BeadArray platform. Bioinformatics 23 2741 2746

24. PurcellS

NealeB

Todd-BrownK

ThomasL

FerreiraMA

2007 PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 81 559 575

25. HindorffL

JunkinsH

MehtaJ

ManolioTA

Catalog of Published Genome-Wide Association Studies. Available at: www.genome.gov/gwastudies. Accessed 5/20/09

26. FaulF

ErdfelderE

LangAG

BuchnerA

2007 G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 39 175 191

27. FalconerDS

MacKayTFC

1996 Introduction to Quantitative Genetics: Benjamin Cummings

Štítky
Genetika Reprodukčná medicína

Článok vyšiel v časopise

PLOS Genetics


2010 Číslo 9
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