Evidence map›Paper›PMID 28944235›Full record

ArticleMolecular genetics & genomic medicine2017

Assessing risk for Mendelian disorders in a Bronx population.

Guy diSibio, Kinnari Upadhyay, Philip Meyer, Carole Oddoux, Harry Ostrer

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2017. 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 93% 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, 0 citations in OpenAlex.

  1. Assessing risk for Mendelian disorders in a Bronx population.Molecular genetics & genomic medicine · 2017
    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

5 authors at 2 institutions in 1 country.

Guy diSibioDepartment of Clinical ScienceCalifornia Northstate University College of MedicineElk GroveCalifornia.
Kinnari UpadhyayDepartment of PathologyAlbert Einstein College of MedicineBronxNew York.
Philip MeyerDepartment of PathologyAlbert Einstein College of MedicineBronxNew York.
Carole OddouxDepartment of PathologyAlbert Einstein College of MedicineBronxNew York.
Harry OstrerDepartment of PathologyAlbert Einstein College of MedicineBronxNew York.ORCID 0000-0002-2209-5376
Albert Einstein College of Medicine · USCalifornia Northstate University · US

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI STEVEN C. ALMO · 1985 to 2026
$111.2M
6 · The paper itself

Abstract

backgroundTo identify variants likely responsible for Mendelian disorders among the three major ethnic groups in the Bronx that might be useful to include in genetic screening panels or whole exome sequencing filters and to estimate their likely prevalence in these populations.

methodsVariants from a high-density oligonucleotide screen of 192 members from each of the three ethnic-national populations (African Americans, Puerto Ricans, and Dominicans) were evaluated for overlap with next generation sequencing data. Variants were curated manually for clinical validity and utility using the American College of Medical Genetics (ACMG) scoring system. Additional variants were identified through literature review.

resultsA panel of 75 variants displaying autosomal dominant, autosomal recessive, autosomal recessive/digenic recessive, X-linked recessive, and X-linked dominant inheritance patterns representing 39 Mendelian disorders were identified among these populations.

conclusionScreening for a broader range of disorders could offer the benefits of early or presymptomatic diagnosis and reproductive choice.

Indexed as

Carrier screeninggenetic testingvariant annotationwhole genome sequencing

Identifiers

PMID28944235
PMCPMC5606885
OpenAlexW2728221748

What OpenQuestion holds

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Registered trials

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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.