Evidence map›Paper›PMID 27249515›Full record

ArticlePharmacogenomics2016

Evidence for extensive pleiotropy among pharmacogenes.

Matthew T Oetjens, William S Bush, Joshua C Denny, Kelly Birdwell, Nuri Kodaman, Anurag Verma, Holli H Dilks, Sarah A Pendergrass, Marylyn D Ritchie, Dana C Crawford

Abstract read
In one paragraph

Article in Pharmacogenomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies.Journal of the American Medical Informatics Association : JAMIA · 2018
    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

10 authors.

Matthew T OetjensCenter for Human Genetics Research, Vanderbilt University, Nashville, TN 37232, USA.
William S BushDepartment of Epidemiology & Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH 44106, USA.
Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN 37203, USA.
Kelly BirdwellDepartment of Medicine, Vanderbilt University, Nashville, TN 37232, USA.
Nuri KodamanCenter for Human Genetics Research, Vanderbilt University, Nashville, TN 37232, USA.
Anurag VermaCenter for Systems Genomics, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Holli H DilksSarah Cannon Research Institute, Nashville, TN 37203 USA.
Sarah A PendergrassCenter for Systems Genomics, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Marylyn D RitchieCenter for Systems Genomics, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Dana C CrawfordDepartment of Epidemiology & Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH 44106, USA.

Funding

Training Program on Genetic Variation and Human PhenotypesT32GM080178 · NIGMS · VANDERBILT UNIVERSITY · PI COX, NANCY J, SAMUELS, DAVID C · 2007 to 2021
$3.1M
NIGMS NIH HHS T32 GM080178
6 · The paper itself

Abstract

aimWe sought to identify potential pleiotropy involving pharmacogenes.

methodsWe tested 184 functional variants in 34 pharmacogenes for associations using a custom grouping of International Classification and Disease, Ninth Revision billing codes extracted from deidentified electronic health records of 6892 patients.

resultsWe replicated several associations including ABCG2 (rs2231142) and gout (p = 1.73 × 10(-7); odds ratio [OR]: 1.73; 95% CI: 1.40-2.12); and SLCO1B1 (rs4149056) and jaundice (p = 2.50 × 10(-4); OR: 1.67; 95% CI: 1.27-2.20).

conclusionIn this systematic screen for phenotypic associations with functional variants, several novel genotype-phenotype combinations also achieved phenome-wide significance, including SLC15A2 rs1143672 and renal osteodystrophy (p = 2.67 × 10(-) (6); OR: 0.61; 95% CI: 0.49-0.75).

Indexed as

Genetic PleiotropyPharmacogeneticsAdultBlack or African AmericanCytochrome P-450 CYP2C19FemaleGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPhenotypeSymportersCYP2C19 protein, humanCytochrome P-450 CYP2C19hydrogen-coupled oligopeptide transporter PepT2Symportersabsorption, distribution, metabolism and excretionelectronic health recordsgenetic association studypharmacogenomicsphenome-wide association study

Identifiers

PMID27249515
PMCPMC5352965

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.