Evidence map›Paper›PMID 20377807›Full record

ArticlePreventive cardiology2010

Quantification of the clinical modifiers impacting high-density lipoprotein cholesterol in the community: Personalized Medicine Research Project.

Russell A Wilke, Richard L Berg, James G Linneman, Peggy Peissig, Justin Starren, Marilyn D Ritchie, Catherine A McCarty

Abstract read
In one paragraph

Article in Preventive cardiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Chapter 11: Genome-wide association studies.PLoS computational biology · 2012
    Review
  8. Article
  9. Review
  10. Article
  11. Article
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

7 authors.

Russell A WilkeDepartment of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA. rwilke@mcw.edu
Richard L Berg
James G Linneman
Peggy Peissig
Justin Starren
Marilyn D Ritchie
Catherine A McCarty

Funding

Genome-Wide Study of Cataract and Low HDL in the Personalized Medicine Research PU01HG004608 · NHGRI · MARSHFIELD CLINIC RESEARCH FOUNDATION · PI MCCARTY, CATHERINE ANNE · 2007 to 2010
$3.3M
NHGRI NIH HHS U01 HG004608NHGRI NIH HHS U01HG0046080
6 · The paper itself

Abstract

High-density lipoprotein (HDL) cholesterol levels are inversely correlated with the development of cardiovascular disease. To date, genetic association studies have explained only a small proportion of the overall variance in HDL cholesterol. Further studies are needed, within practice-based cohorts, to place genetic findings into context alongside important clinical variables (eg, age, sex, body mass index, medication use, and clinical comorbidity). The Marshfield Clinic Personalized Medicine Research Project database was designed for large-scale studies of genetic epidemiology in a clinical practice-based setting. Because of its size and its unique practice-based design, this resource will provide adequate statistical power for the assessment of genetic findings related to HDL cholesterol level within the context of covariates known to modify lipid homeostasis. The authors report construction and validation of novel electronic phenotyping algorithms that can be used to model individual baseline HDL cholesterol levels within this practice-based resource. Because these algorithms were developed in a setting that reflects routine clinical care, future genetic studies using these algorithms within practice-based DNA biobanks should facilitate the identification of markers with optimal effect size after adjustment for known clinical factors contributing to the overall variance in HDL cholesterol level within the community.

Indexed as

Preventive MedicineProgram DevelopmentAdolescentAdultAgedAged, 80 and overAlgorithmsCholesterol, HDLDatabases, FactualEstrogen Replacement TherapyFemaleHealth SurveysHumansMaleMiddle AgedMultivariate AnalysisCholesterol, HDL

Identifiers

PMID20377807
PMCPMC5206993

What OpenQuestion holds

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Registered trials

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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.