Evidence map›Paper›PMID 22393331›Full record

ArticleFrontiers in genetics2012

Naïve Bayesian Classifier and Genetic Risk Score for Genetic Risk Prediction of a Categorical Trait: Not so Different after all!

Paola Sebastiani, Nadia Solovieff, Jenny X Sun

Abstract read
In one paragraph

Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Use of Genomic Information in Health Impact Assessment is Yet to Come: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
  2. Pooled it
  3. Artificial intelligence and machine learning in precision and genomic medicine.Medical oncology (Northwood, London, England) · 2022
    Review
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Review
  10. Familial Risk for Exceptional Longevity.North American actuarial journal : NAAJ · 2016
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. PleioGRiP: genetic risk prediction with pleiotropy.Bioinformatics (Oxford, England) · 2013
    Article
  16. Article
  17. Article
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  19. Article
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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

3 authors.

Paola SebastianiDepartment of Biostatistics, Boston University School of Public Health Boston, MA, USA.
Nadia Solovieff
Jenny X Sun

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI Thomas Girke, NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
Genome Wide Association of Coronary Artery Disease and Related Risk FactorsR01HL089655 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI BROECKEL, ULRICH · 2008 to 2012
$3.8M
Effect of non genetic factors on genetic signatures of complex traitsR21HL114237 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SEBASTIANI, PAOLA · 2012 to 2014
$480k
NHLBI NIH HHS R01 HL089655NHLBI NIH HHS R21 HL114237NIA NIH HHS U19 AG023122
6 · The paper itself

Abstract

One of the most popular modeling approaches to genetic risk prediction is to use a summary of risk alleles in the form of an unweighted or a weighted genetic risk score, with weights that relate to the odds for the phenotype in carriers of the individual alleles. Recent contributions have proposed the use of Bayesian classification rules using Naïve Bayes classifiers. We examine the relation between the two approaches for genetic risk prediction and show that the methods are mathematically related. In addition, we study the properties of the two approaches and describe how they can be generalized to include various models of inheritance.

Indexed as

classification ruleclassification scoregenetic risk predictiongenetic scoreNaïve Bayes classifier

Identifiers

PMID22393331
PMCPMC3289795

What OpenQuestion holds

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LicenceCC BY
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.