Evidence map›Paper›PMID 30846881›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Estimating yields of prenatal carrier screening and implications for design of expanded carrier screening panels.

Michael H Guo, Anthony R Gregg

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Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
–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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Functional Profiling ofCirculation. Genomic and precision medicine · 2025
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  19. Secondary Findings from Exome Sequencing of a Greek Cohort.Current issues in molecular biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Michael H GuoProgram in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA. mguo@broadinstitute.org.ORCID http://orcid.org/0000-0002-1357-6389
Anthony R GreggDepartment of Obstetrics and Gynecology, Baylor University Medical Center, Dallas, TX, 75246, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrenatal genetic carrier screening can identify parents at risk of having a child affected by a recessive condition. However, the conditions/genes most appropriate for screening remain a matter of debate. Estimates of carrier rates across genes are needed to guide construction of carrier screening panels.

methodWe leveraged an exome sequencing database (n = 123,136) to estimate carrier rates across six major ancestries for 415 genes associated with severe recessive conditions.

resultsWe found that 32.6% (East Asian) to 62.9% (Ashkenazi Jewish) of individuals are variant carriers in at least one of the 415 genes. For couples, screening all 415 genes would identify 0.17-2.52% of couples as being at risk for having a child affected by one of these conditions. Screening just the 40 genes with carrier rate >1.0% would identify more than 76% of these at-risk couples. An ancestry-specific panel designed to capture genes with carrier rates >1.0% would include 5 to 28 genes, while a comparable panethnic panel would include 40 genes.

conclusionOur work guides the design of carrier screening panels and provides data to assist in counseling prospective parents. Our results highlight a high cumulative carrier rate across genes, underscoring the need for careful selection of genes for screening.

Indexed as

Genetic Carrier ScreeningPrenatal DiagnosisAsian PeopleExome SequencingFemaleGenetic CounselingGenetic Diseases, InbornHeterozygoteHumansJewsPregnancyexome sequencingexpanded carrier screeninggenetic counselingMendelian disorderpathogenic variants

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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.