Evidence map›Paper›PMID 31187331›Full record

ArticleJournal of assisted reproduction and genetics2019

Bayesian model for accurate MARSALA (mutated allele revealed by sequencing with aneuploidy and linkage analyses).

Luoxing Xiong, Lei Huang, Feng Tian, Sijia Lu, Xiaoliang Sunney Xie

Open access · hybridAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  8. Review
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  10. Expanded clinical validation of Haploseek for comprehensive preimplantation genetic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    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 3 institutions in 2 countries.

Luoxing XiongPeking-Tsinghua Center for Life Sciences (CLS), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
Lei HuangDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, 01238, USA.
Feng TianPeking-Tsinghua Center for Life Sciences (CLS), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
Sijia LuYikon Genomics Co., Ltd., 1698 Wangyuan Road, Building #26, Fengxian District, Shanghai, 201400, China.
Xiaoliang Sunney XieBiomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, 100871, China. sunneyxie@pku.edu.cn.
Center for Life Sciences · CNHarvard University · USPeking University · CN

Funding

863:National Basic Research Program of China Grant 2015AA020407Beijing Municipal Science and Technology Commission Grants D151100002415000National key Technology research and development program 2016YFC0900100
6 · The paper itself

Abstract

purposeThis study is aimed at increasing the accuracy of preimplantation genetic test for monogenic defects (PGT-M).

methodsWe applied Bayesian statistics to optimize data analyses of the mutated allele revealed by sequencing with aneuploidy and linkage analyses (MARSALA) method for PGT-M. In doing so, we developed a Bayesian algorithm for linkage analyses incorporating PCR SNV detection with genome sequencing around the known mutation sites in order to determine quantitatively the probabilities of having the disease-carrying alleles from parents with monogenic diseases. Both recombination events and sequencing errors were taken into account in calculating the probability.

resultsData of 28 in vitro fertilized embryos from three couples were retrieved from two published research articles by Yan et al. (Proc Natl Acad Sci. 112:15964-9, 2015) and Wilton et al. (Hum Reprod. 24:1221-8, 2009). We found the embryos deemed "normal" and selected for transfer in the previous publications were actually different in error probability of 10

conclusionThe error probability of PGT-M can be significantly reduced by using the Bayesian statistics approach, increasing the accuracy of selecting healthy embryos for transfer with or without a proband sample.

Indexed as

Fertilization in VitroGenetic TestingPreimplantation DiagnosisAllelesBayes TheoremEmbryo TransferFemaleGenetic LinkageHigh-Throughput Nucleotide SequencingHumansMutationPregnancyBayesian statisticsLinkage analysesMARSALAPGT-M

Identifiers

PMID31187331
PMCPMC6602990
OpenAlexW2951334646

What OpenQuestion holds

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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.