Evidence map›Paper›PMID 28544375›Full record

ArticleProteomics2017

Proteomic analysis of hair shafts from monozygotic twins: Expression profiles and genetically variant peptides.

Pei-Wen Wu, Katelyn E Mason, Blythe P Durbin-Johnson, Michelle Salemi, Brett S Phinney, David M Rocke, Glendon J Parker, Robert H Rice

Open access · greenAbstract readTwin Study
In one paragraph

Article in Proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 38 citations in OpenAlex.

  1. Pepsin Digestion for Proteomic Studies of the Human Hair Shaft.Rapid communications in mass spectrometry : RCM · 2026
    Article
  2. Human hair as a diagnostic tool in medicine.Biochemistry and biophysics reports · 2025
    Review
  3. Article
  4. Article
  5. Article
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  8. Article
  9. Review
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

8 authors at 3 institutions in 1 country.

Pei-Wen WuForensic Science Graduate Program and Department of Environmental Toxicology, University of California, Davis, CA, USA.
Katelyn E MasonForensic Science Center, Lawrence Livermore National Laboratory, Livermore, CA, USA.
Blythe P Durbin-JohnsonDivision of Biostatistics, Department of Public Health Sciences, Clinical and Translational Science Center Biostatistics Core, University of California, Davis, CA, USA.
Michelle SalemiProteomics Core Facility, University of California, Davis, CA, USA.
Brett S PhinneyProteomics Core Facility, University of California, Davis, CA, USA.
David M RockeDivision of Biostatistics, Department of Public Health Sciences, Clinical and Translational Science Center Biostatistics Core, University of California, Davis, CA, USA.
Glendon J ParkerForensic Science Center, Lawrence Livermore National Laboratory, Livermore, CA, USA.
Robert H RiceForensic Science Graduate Program and Department of Environmental Toxicology, University of California, Davis, CA, USA.
University of California, Davis · USLawrence Livermore National Laboratory · USDigital Proteomics (United States) · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
NCATS NIH HHS UL1 TR000002
6 · The paper itself

Abstract

Forensic association of hair shaft evidence with individuals is currently assessed by comparing mitochondrial DNA haplotypes of reference and casework samples, primarily for exclusionary purposes. Present work tests and validates more recent proteomic approaches to extract quantitative transcriptional and genetic information from hair samples of monozygotic twin pairs, which would be predicted to partition away from unrelated individuals if the datasets contain identifying information. Protein expression profiles and polymorphic, genetically variant hair peptides were generated from ten pairs of monozygotic twins. Profiling using the protein tryptic digests revealed that samples from identical twins had typically an order of magnitude fewer protein expression differences than unrelated individuals. The data did not indicate that the degree of difference within twin pairs increased with age. In parallel, data from the digests were used to detect genetically variant peptides that result from common nonsynonymous single nucleotide polymorphisms in genes expressed in the hair follicle. Compilation of the variants permitted sorting of the samples by hierarchical clustering, permitting accurate matching of twin pairs. The results demonstrate that genetic differences are detectable by proteomic methods and provide a framework for developing quantitative statistical estimates of personal identification that increase the value of hair shaft evidence.

Indexed as

Polymorphism, Single NucleotideAdultAgedAged, 80 and overFemaleGene Expression ProfilingHairHumansMaleMiddle AgedPeptidesProteomeProteomicsTwins, MonozygoticYoung AdultPeptidesProteomeAgglomerative hierarchical clusteringForensic evidenceGenetically variant peptidesMonozygotic twin pairsProtein profiling

Identifiers

PMID28544375
PMCPMC5540574
OpenAlexW2619213255

What OpenQuestion holds

Textmetadata
LicenceTDM
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.