Evidence map›Paper›PMID 39669246›Full record

ArticleGenetics in medicine open2023

Disparity in the detection of chromosome 15 centromere in patients of African ancestry with a plasma cell neoplasm.

Alaa Koleilat, Hongwei Tang, Neeraj Sharma, Huihuang Yan, Shulan Tian, James Smadbeck, Suganti Shivaram, Reid Meyer, Kathryn Pearce, Michael Baird and 12 more

Abstract read
In one paragraph

Article in Genetics in medicine open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

22 authors.

Alaa KoleilatDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Hongwei TangDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Neeraj SharmaDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Huihuang YanDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Shulan TianDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
James SmadbeckDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Suganti ShivaramDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Reid MeyerDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Kathryn PearceDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Michael BairdDNA Diagnostics Center (DDC), Fairfield, OH.
Cinthya J Zepeda-MendozaDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Xinjie XuDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Patricia T GreippDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Jess F PetersonDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Rhett P KetterlingDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
P Leif BergsagelDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ.
Celine VachonDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
S Vincent RajkumarDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN.
Shaji KumarDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN.
Yan W AsmannDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL.
Eran ElhaikDepartment of Biology, Lund University, Lund, Sweden.
Linda B BaughnDivision of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.

Funding

Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Peter Leif Bergsagel · 2015 to 2026
$25.5M
NCI NIH HHS P50 CA186781
6 · The paper itself

Abstract

Purpose: Fluorescence in situ hybridization (FISH) is the current gold standard assay that provides information related to risk stratification and therapeutic selection for individuals with plasma cell neoplasms. The differential hybridization of FISH probe sets in association with individuals' genetic ancestry has not been previously reported. Methods: This retrospective study included 1224 bone marrow samples from individuals who had an abnormal plasma cell proliferative disorder FISH result and a concurrent conventional G-banded chromosome study. DNA from bone marrow samples obtained from the G-banded chromosome study was genotyped, and a biogeographical ancestry prediction was carried out. Results: Using a cohort of individuals with a plasma cell neoplasm, we identified reduced hybridization of a chromosome 15 centromere FISH probe (D15Z4). Metaphase FISH studies of cells with 2 copies of chromosome 15 demonstrated a failure of the D15Z4 FISH probe to hybridize to one chromosome 15 centromere, revealing a false-positive monosomy 15 FISH result in some individuals. Surprisingly, individuals with a monosomy 15 FISH result had a median African ancestry of 77.2% (95% CI 74.1%-80.3%), compared with a median African ancestry of 2.2% (95% CI 2.0%-2.5%) in the non-monosomy 15 cohort ( Conclusion: This study emphasizes a concern regarding the reliability of diagnostic genomic tools and their application in interpreting genetic testing results in diverse patient populations. We discuss alternative methodologies to better represent different ancestry groups in clinical diagnostic testing.

Indexed as

African ancestryD15Z4Fluorescence in situ hybridizationMonosomy 15Plasma cell neoplasm

Identifiers

PMID39669246
PMCPMC11613710

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.