Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2013A blood pressure genetic risk score is a significant predictor of incident cardiovascular events in 32 699 individuals61citations

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Chart of shared publication
Peltonen, L.
1 / 2 shared
Havulinna, A. S.
1 / 1 shared
Eriksson, J. G.
1 / 2 shared
Jula, A.
1 / 1 shared
Kesaniemi, Y. A.
1 / 1 shared
Newton-Cheh, C.
1 / 1 shared
Kontula, K.
1 / 1 shared
Ukkola, O.
1 / 1 shared
Osmond, Clive
1 / 2 shared
Kettunen, J.
1 / 1 shared
Chart of publication period
2013

Co-Authors (by relevance)

  • Peltonen, L.
  • Havulinna, A. S.
  • Eriksson, J. G.
  • Jula, A.
  • Kesaniemi, Y. A.
  • Newton-Cheh, C.
  • Kontula, K.
  • Ukkola, O.
  • Osmond, Clive
  • Kettunen, J.
OrganizationsLocationPeople

article

A blood pressure genetic risk score is a significant predictor of incident cardiovascular events in 32 699 individuals

  • Peltonen, L.
  • Havulinna, A. S.
  • Salomaa, V.
  • Eriksson, J. G.
  • Jula, A.
  • Kesaniemi, Y. A.
  • Newton-Cheh, C.
  • Kontula, K.
  • Ukkola, O.
  • Osmond, Clive
  • Kettunen, J.
Abstract

Recent genome-wide association studies have identified genetic variants associated with blood pressure (BP). We investigated whether genetic risk scores (GRSs) constructed of these variants would predict incident cardiovascular disease (CVD) events. We genotyped 32 common single nucleotide polymorphisms in several Finnish cohorts, with up to 32 669 individuals after exclusion of prevalent CVD cases. The median follow-up was 9.8 years, during which 2295 incident CVD events occurred. We created GRSs separately for systolic BP and diastolic BP by multiplying the risk allele count of each single nucleotide polymorphism by the effect size estimated in published genome-wide association studies. We performed Cox regression analyses with and without adjustment for clinical factors, including BP at baseline in each cohort. The results were combined by inverse variance–weighted fixed-effects meta-analysis. The GRSs were strongly associated with systolic BP and diastolic BP, and baseline hypertension (all P&lt;10?62). Hazard ratios comparing the highest quintiles of systolic BP and diastolic BP GRSs with the lowest quintiles after adjustment for age, age squared, and sex were 1.25 (1.07–1.46; P=0.006) and 1.23 (1.05–1.43; P=0.01), respectively, for incident coronary heart disease; 1.24 (1.01–1.53; P=0.04) and 1.35 (1.09–1.66; P=0.005), respectively, for incident stroke; and 1.23 (1.08–1.40; P=2×10?6) and 1.26 (1.11–1.44; P=5×10?4), respectively, for composite CVD. In conclusion, BP findings from genome-wide association studies are strongly replicated. GRSs comprising bona fide BP-single nucleotide polymorphisms predicted CVD risk, consistent with a lifelong effect on BP of these variants collectively. <br/><br/>

Topics
  • impedance spectroscopy
  • composite
  • chemical vapor deposition