Evidence map›Paper›PMID 30872187›Full record

ArticleThe Journal of molecular diagnostics : JMD2019

A New Fast Phasing Method Based On Haplotype Subtraction.

Evelina Mocci, Marija Debeljak, Alison P Klein, James R Eshleman

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2019. 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, top 98% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Diagnostic Performance of a Tumor Marker Gene Test to Personalize Serum CA19-9 Reference Ranges.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    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

4 authors at 2 institutions in 1 country.

Evelina MocciDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center.
Marija DebeljakDepartment of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland.
Alison P KleinDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center; Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland.
James R EshlemanDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center; Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland. Electronic address: jeshlem@jhmi.edu.
Cancer Research Center · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI JAFFEE, ELIZABETH M. · 1993 to 2022
$54.6M
NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA062924
6 · The paper itself

Abstract

We developed a novel phasing approach, based solely on molecules and genotype frequency, that does not rely on inference of new alleles. We initiated the project because of errors that were detected in the phased 1000 Genomes Project data. The algorithm first combined identical genotypes into clusters and ranked them by descending frequency. Using alleles defined in homozygotes, it combined them to produce expected genotypes that were dismissed and subtracted them from remaining genotypes to define additional new putative alleles. Putative alleles had to be confirmed by identifying them in independent genotypes, and the process was iterated until all alleles were identified. The new approach was validated using single-molecule sequencing of eight loci, 145 (8 to 35 per locus) alleles were identified, and an average 98.2% (range, 95.0% to 99.9%) of 1000 genome individuals at these loci were explained. The accuracy of the new method was compared with that from PHASE and SHAPEIT2 to the experimentally determined genotypes based on single-molecule sequencing. Our method was comparable to PHASE and SHAPEIT2 in accuracy but was, on average, 14.6- and 10.8-fold faster, respectively.

Indexed as

AllelesBase SequenceGenetic LociGenotyping TechniquesHaplotypesHLA-A AntigensHumansPolymorphism, Single NucleotideReproducibility of ResultsTime FactorsHLA-A Antigens

Identifiers

PMID30872187
PMCPMC6504677
OpenAlexW2920911894

What OpenQuestion holds

Textmetadata
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.