Evidence map›Paper›PMID 25285214›Full record

ArticleBiomarker research2014

The use of haplotype-specific transcripts improves sample annotation consistency.

Nicole Hartmann, Evert Luesink, Edward Khokhlovich, Joseph D Szustakowski, Lukas Baeriswyl, Joshua Peterson, Andreas Scherer, Nirmala R Nanguneri, Frank Staedtler

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Article in Biomarker research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Nicole Hartmann *Novartis Institutes for BioMedical Research (NIBR), Biomarker Development, Fabrikstrasse 10.13, CH-4002 Basel, Switzerland.
Evert Luesink *Novartis Institutes for BioMedical Research (NIBR), Biomarker Development, Fabrikstrasse 10.13, CH-4002 Basel, Switzerland.
Edward KhokhlovichNovartis Institutes for BioMedical Research (NIBR), Biomarker Development, Fabrikstrasse 10.13, CH-4002 Basel, Switzerland.
Joseph D SzustakowskiNovartis Institutes for BioMedical Research (NIBR), Biomarker Development, Fabrikstrasse 10.13, CH-4002 Basel, Switzerland.
Lukas BaeriswylNovartis Institutes for BioMedical Research (NIBR), Biomarker Development, Fabrikstrasse 10.13, CH-4002 Basel, Switzerland.
Joshua PetersonNovartis Institutes for BioMedical Research (NIBR), Biomarker Development, Fabrikstrasse 10.13, CH-4002 Basel, Switzerland.
Andreas SchererSpheromics, Kontiolahti, Finland.
Nirmala R NanguneriNovartis Institutes for BioMedical Research (NIBR), Biomarker Development, Fabrikstrasse 10.13, CH-4002 Basel, Switzerland.
Frank StaedtlerNovartis Institutes for BioMedical Research (NIBR), Biomarker Development, Fabrikstrasse 10.13, CH-4002 Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExact sample annotation in expression microarray datasets is essential for any type of pharmacogenomics research.

resultsCandidate markers were explored through the application of Hartigans' dip test statistics to a publically available human whole genome microarray dataset. The marker performance was tested on 188 serial samples from 53 donors and of variable tissue origin from five public microarray datasets. A qualified transcript marker panel consisting of three probe sets for human leukocyte antigens HLA-DQA1 (2 probe sets) and HLA-DRB4 identified sample donor identifier inconsistencies in six of the 188 test samples. About 3% of the test samples require root-cause analysis due to unresolvable inaccuracies.

conclusionsThe transcript marker panel consisting of HLA-DQA1 and HLA-DRB4 represents a robust, tissue-independent composite marker to assist control donor annotation concordance at the transcript level. Allele-selectivity of HLA genes renders them good candidates for "fingerprinting" with donor specific expression pattern.

Indexed as

BiomarkersDip testHLA-DQA1HLA-DRB4Microarray quality control (QC)mRNA

Identifiers

PMID25285214
PMCPMC4184161

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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.