Evidence map›Paper›PMID 19010253›Full record

ReviewAdvances in genetics2008

Genetics of the Framingham Heart Study population.

Diddahally R Govindaraju, L Adrienne Cupples, William B Kannel, Christopher J O'Donnell, Larry D Atwood, Ralph B D'Agostino, Caroline S Fox, Marty Larson, Daniel Levy, Joanne Murabito and 4 more

Abstract readReview
In one paragraph

Review in Advances in genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 5 pooled it
23.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 5 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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  11. Quantitative and Qualitative Role of Antagonistic Heterogeneity in Genetics of Blood Lipids.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  12. Nutrigenetics-personalized nutrition in obesity and cardiovascular diseases.International journal of obesity supplements · 2020
    Review
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  16. Analyzing metabolomics data for association with genotypes using two-component Gaussian mixture distributions.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Diddahally R GovindarajuDepartment of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118.
L Adrienne CupplesDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118.
William B KannelNHLBI's Framingham Heart Study, Framingham, Massachusetts 01702.
Christopher J O'DonnellNHLBI's Framingham Heart Study, Framingham, Massachusetts 01702.
Larry D AtwoodDepartment of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118.
Ralph B D'AgostinoDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118; NHLBI's Framingham Heart Study, Framingham, Massachusetts 01702.
Caroline S FoxNHLBI's Framingham Heart Study, Framingham, Massachusetts 01702.
Marty LarsonNHLBI's Framingham Heart Study, Framingham, Massachusetts 01702.
Daniel LevyNHLBI's Framingham Heart Study, Framingham, Massachusetts 01702.
Joanne MurabitoNHLBI's Framingham Heart Study, Framingham, Massachusetts 01702; Section of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts 02118.
Ramachandran S VasanNHLBI's Framingham Heart Study, Framingham, Massachusetts 01702; Department of Cardiology, Boston University School of Medicine, Boston, Massachusetts 02118; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts 02118.
Greta Lee SplanskyNHLBI's Framingham Heart Study, Framingham, Massachusetts 01702.
Philip A WolfDepartment of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118.
Emelia J BenjaminNHLBI's Framingham Heart Study, Framingham, Massachusetts 01702; Department of Cardiology, Boston University School of Medicine, Boston, Massachusetts 02118; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts 02118.
Framingham Heart Study · USBoston University · US

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
Framingham: Inflammation, Genes &Cardiovascular DiseaseR01HL076784 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J. · 2004 to 2008
$3.9M
Aging and Inflammation: Longitudinal Markers and Genetics in the Framingham StudyR01AG028321 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J. · 2006 to 2010
$1.8M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC 25195NHLBI NIH HHS R01 HL076784NIA NIH HHS AG028321NIA NIH HHS R01 AG028321
6 · The paper itself

Abstract

This chapter provides an introduction to the Framingham Heart Study and the genetic research related to cardiovascular diseases conducted in this unique population. It briefly describes the origins of the study, the risk factors that contribute to heart disease, and the approaches taken to discover the genetic basis of some of these risk factors. The genetic architecture of several biological risk factors has been explained using family studies, segregation analysis, heritability, and phenotypic and genetic correlations. Many quantitative trait loci underlying cardiovascular diseases have been discovered using different molecular markers. Additionally, initial results from genome-wide association studies using 116,000 markers and the prospects of using 550,000 markers for association studies are presented. Finally, the use of this unique sample to study genotype and environment interactions is described.

Indexed as

AlgorithmsCohort EffectCohort StudiesEnvironmentGenetic LinkageGenetic Predisposition to DiseaseGenetics, PopulationHeart DiseasesHumansInheritance PatternsMassachusettsPopulation Groups

Identifiers

PMID19010253
PMCPMC3014216
OpenAlexW1576955035

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.