Evidence map›Paper›PMID 26602992›Full record

ArticleHuman mutation2016

Long-Read Single Molecule Real-Time Full Gene Sequencing of Cytochrome P450-2D6.

Wanqiong Qiao, Yao Yang, Robert Sebra, Geetu Mendiratta, Andrea Gaedigk, Robert J Desnick, Stuart A Scott

Registry-linked trialAbstract read
In one paragraph

Article in Human mutation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04004481 (Metabolites of Tramadol in the Postoperative Surgical Patients Admitted in the ICU), which is not on this map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing 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.

NCT04004481 completednot on this mapstarted 2019, after this paper: background citation

Metabolites of Tramadol in the Postoperative Surgical Patients Admitted in the ICU

TypeobservationalSponsorOsijek University HospitalRan2019 to 2020Enrolled50ConditionsAbdominal Surgery, Respiratory Failure, Renal Failure, Liver DysfunctionArmsPostoperative analgesia using tramadol
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Population modeling of pharmacokinetic variability of epinastine, a histamine HNaunyn-Schmiedeberg's archives of pharmacology · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Implementation of CYP2D6-guided opioid therapy at Cincinnati Children's Hospital Medical Center.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2023
    Article
  14. Determination of the DuplicatedJournal of personalized medicine · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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.

Wanqiong QiaoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029.
Yao YangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029.
Robert SebraDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029.
Geetu MendirattaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029.
Andrea GaedigkDivision of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, 64108.
Robert J DesnickDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029.
Stuart A ScottDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029.

Funding

The Pharmacogenomic Control of Clopidogrel Response in Acute Coronary SyndromesK23GM104401 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCOTT, STUART ALEXANDER · 2013 to 2016
$778k
NIGMS NIH HHS K23 GM104401
6 · The paper itself

Abstract

The cytochrome P450-2D6 (CYP2D6) enzyme metabolizes ∼25% of common medications, yet homologous pseudogenes and copy number variants (CNVs) make interrogating the polymorphic CYP2D6 gene with short-read sequencing challenging. Therefore, we developed a novel long-read, full gene CYP2D6 single molecule real-time (SMRT) sequencing method using the Pacific Biosciences platform. Long-range PCR and CYP2D6 SMRT sequencing of 10 previously genotyped controls identified expected star (*) alleles, but also enabled suballele resolution, diplotype refinement, and discovery of novel alleles. Coupled with an optimized variant-calling pipeline, CYP2D6 SMRT sequencing was highly reproducible as triplicate intra- and inter-run nonreference genotype results were completely concordant. Importantly, targeted SMRT sequencing of upstream and downstream CYP2D6 gene copies characterized the duplicated allele in 15 control samples with CYP2D6 CNVs. The utility of CYP2D6 SMRT sequencing was further underscored by identifying the diplotypes of 14 samples with discordant or unclear CYP2D6 configurations from previous targeted genotyping, which again included suballele resolution, duplicated allele characterization, and discovery of a novel allele and tandem arrangement. Taken together, long-read CYP2D6 SMRT sequencing is an innovative, reproducible, and validated method for full-gene characterization, duplication allele-specific analysis, and novel allele discovery, which will likely improve CYP2D6 metabolizer phenotype prediction for both research and clinical testing applications.

Indexed as

AllelesCytochrome P-450 CYP2D6Gene FrequencyGenotypeHumansCytochrome P-450 CYP2D6CYP2D6gene duplicationlong-read sequencingPacific Biosciencespharmacogeneticspharmacogenomicssingle molecule real-time (SMRT) sequencing

Identifiers

PMID26602992
PMCPMC4752389

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Registered trials

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.