Evidence map›Paper›PMID 19058262›Full record

ArticleGenetic epidemiology2009

Allelic-based gene-gene interaction associated with quantitative traits.

Jeesun Jung, Bin Sun, Deukwoo Kwon, Daniel L Koller, Tatiana M Foroud

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Genetic epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Association and interaction analysis of variants in CHRNA5/CHRNA3/CHRNB4 gene cluster with nicotine dependence in African and European Americans.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2010
    Article
  7. Physiology and pathophysiology of the calcium-sensing receptor in the kidney.American journal of physiology. Renal physiology · 2010
    Review
  8. Article
  9. Article
  10. Individualized pain medicine.Drug discovery today. Therapeutic strategies · 2009
    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

5 authors.

Jeesun JungDepartment of Medical and Molecular Genetics, Indiana University, School of Medicine, Indianapolis, Indiana, USA. jeejung@iupui.edu
Bin Sun
Deukwoo Kwon
Daniel L Koller
Tatiana M Foroud

Funding

Genetic Determinants of Sodium RetentionR01HL035795 · NHLBI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI PRATT, JOHN HOWARD · 1985 to 2006
$2.9M
NHLBI NIH HHS R01 HL035795
6 · The paper itself

Abstract

Recent studies have shown that quantitative phenotypes may be influenced not only by multiple single nucleotide polymorphisms (SNPs) within a gene but also by the interaction between SNPs at unlinked genes. We propose a new statistical approach that can detect gene-gene interactions at the allelic level which contribute to the phenotypic variation in a quantitative trait. By testing for the association of allelic combinations at multiple unlinked loci with a quantitative trait, we can detect the SNP allelic interaction whether or not it can be detected as a main effect. Our proposed method assigns a score to unrelated subjects according to their allelic combination inferred from observed genotypes at two or more unlinked SNPs, and then tests for the association of the allelic score with a quantitative trait. To investigate the statistical properties of the proposed method, we performed a simulation study to estimate type I error rates and power and demonstrated that this allelic approach achieves greater power than the more commonly used genotypic approach to test for gene-gene interaction. As an example, the proposed method was applied to data obtained as part of a candidate gene study of sodium retention by the kidney. We found that this method detects an interaction between the calcium-sensing receptor gene (CaSR), the chloride channel gene (CLCNKB) and the Na, K, 2Cl cotransporter gene (CLC12A1) that contributes to variation in diastolic blood pressure.

Indexed as

AllelesQuantitative Trait, HeritableBlood PressureChloride ChannelsEpidemiologic MethodsHumansKidneyModels, GeneticModels, StatisticalPhenotypePolymorphism, Single NucleotideReceptors, Calcium-SensingSodiumSodium-Potassium-Chloride SymportersCASR protein, humanChloride ChannelsCLCNKB protein, humanReceptors, Calcium-SensingSodiumSodium-Potassium-Chloride Symporters

Identifiers

PMID19058262
PMCPMC2825760

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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.