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Enregistrement W2917903314 · doi:10.1002/pd.5407

In case you missed it: The prenatal diagnosis editors bring you the most significant advances of 2018

2018· editorial· en· W2917903314 sur OpenAlexaff
Alessandro Ghidini, Diana W. Bianchi, Brynn Levy, Tim Van Mieghem, Jan Deprest, Lyn S. Chitty

Notice bibliographique

RevuePrenatal Diagnosis · 2018
Typeeditorial
Langueen
DomaineMedicine
ThématiquePrenatal Screening and Diagnostics
Établissements canadiensUniversity of TorontoMount Sinai Hospital
Organismes subventionnairesNational Institute for Health and Care Research
Mots-clésPrenatal diagnosisMedicineObstetricsPregnancyIntensive care medicineFetusBiologyGenetics

Résumé

récupéré en direct d'OpenAlex

This year, the editors of Prenatal Diagnosis met on an October sunny day in Bethesda, Maryland, to make plans for the journals next year (Figure 1). Following our tradition first established 6 years ago, we discussed what we felt was some of the exciting new advances in prenatal screening and diagnosis. We hope our readers will enjoy reading our overview on the hot topics of 2018, including expanded carrier screening, the role of preimplantation genetic screening prior to in vitro transfer, the value of prenatal exome sequencing in fetuses with structural abnormalities, as well as annual updates in fetal surgery, noninvasive prenatal testing (NIPT), and fetal gene therapy. Seven years after its introduction into clinical prenatal care, over 10 million NIPT have been completed globally.1 Remarkably, 70% of the tests to date have been done on Chinese women. While the majority of cell-free DNA tests are performed for the common fetal autosomal and sex chromosome aneuploidies, the test menus have expanded to include microdeletions, copy number variations, and single gene disorders.2-9 In an extraordinary study published in October 2018, Liu and colleagues performed a large-scale population analysis using shallow sequencing data from 141 431 NIPTs performed at the Beijing Genome Institute in Shenzhen.1 They analyzed these data to track the migration of different population subgroups within China. Using genome-wide association studies they identified a novel gene, NRG1, that is, associated with predisposition to twin pregnancies. They also demonstrated the presence of unique patterns of circulating viral DNA that were associated with a high prevalence of hepatitis B, human herpes viruses 5 and 6, human parvovirus B19, and other clinically important infections. Finally, they identified multiple genes that are associated with height and body mass index in the Chinese population, as well as fertility as a function of maternal age. In summary, noninvasive prenatal DNA sequencing test results can serve as a novel resource for understanding population genetic variation and to identify genotype-phenotype associations. One of the main reasons that NIPT has become incorporated so quickly into prenatal care is that a negative test result has a greater than 99% negative predictive value. For pregnant women who only want reassurance that their baby does not have one of the common autosomal trisomies, (i.e. trisomy 13, 18 or 21) a negative screening result is enough information, and they subsequently decline a diagnostic procedure. This has resulted in a 70% decrease worldwide in amniocenteses and chorionic villus samplings, providing proof of clinical utility for NIPT. A significantly decreased number of diagnostic tests has reduced health care costs, but it has also been assumed that integration of NIPT into care would also be safer for pregnant women and their fetuses because there would be fewer procedure-associated miscarriages. To test this hypothesis, a randomized clinical trial was conducted in 57 centers in France between April 2014 and April 2016 (ClinicalTrials.gov identifier: NCT02127515).10 Two thousand fifty-one pregnant women at high risk of having a fetus with trisomy 21 either received an immediate invasive diagnostic test or first received a cell-free (cf)-DNA test, with invasive testing only performed for a positive screening result. Interestingly, the cfDNA test had a detection rate of 100%. Over 97% of the enrolled subjects who had an initial test (n = 1997) completed the trial. The primary outcome showed that the rate of miscarriage was not statistically different between the two groups (both groups had miscarriage rates of 0.8%), although the authors suggested that the study may have been underpowered to find clinically meaningful differences in losses before 24 weeks of gestation. There were, however, 11 chromosomal abnormalities detected by karyotyping in the group that went directly to invasive testing. Three were apparently balanced translocations without clinical manifestations, one was confined placental mosaicism for trisomy 12, two were mosaic trisomy 13 cases, three were sex chromosome aneuploidies, and two were complex rearrangements expected to be associated with developmental disabilities. Some limitations of this study include the fact that 24% of women initially randomized to the invasive testing dropped out of the study, cfDNA testing was only performed for trisomy 21, and there was a 5.6% false positive rate for the cfDNA group, which led to more diagnostic procedures. As cfDNA sequencing moves towards first tier testing for fetal aneuploidy, it is reasonable to assume that there will be more studies such as this one that will more deeply investigate its clinical utility and the benefits of testing beyond its superior positive predictive values to the current approach of serum screening and nuchal translucency measurement. Expanded carrier screening (ECS) has seen quite an evolution in the last few years, and 2018 has not been an exception. Since its introduction 10 years ago, ECS has been driven mainly by commercial laboratories, which have selected the conditions to be included in the panels based on unclear criteria, often driven by competition to include as many disorders as possible. The most recent publication confirmed that the larger the number of disorders screened, the higher the likelihood of identifying a carrier (as high as 36% for a panel inclusive of 218 diseases).11 Professional organizations have published consensus-determined points to consider when ordering ECS, based on severity, age of onset, consistent phenotype, carrier frequency, and accuracy of the screening test, among other metrics.12 However, when verified, only 27% of the conditions on commercially available ECS panels meet such criteria.13 Since clinicians often do not have the time and genetic expertise to translate such points into customized list of conditions appropriate for prenatal screening, the American College of Obstetrics and Gynecology (ACOG) has suggested a list of 22 conditions that are considered reasonable for inclusion in an ECS panel based on the above-mentioned criteria.14 Currently both ethnicity-based screening and ECS testing are considered acceptable strategies by ACOG.14 However, the conclusions of an initial mathematical modeling, which suggested that ECS would detect more fetuses at risk for severe or profound conditions across all ethnic groups than screening based on ethnicity,15 have partially been confirmed by a few studies, two of which were published in 2018.11, 16 One of such studies compared the screen positive rate of a “standard panel” of 23 conditions (inclusive of most of those suggested by ACOG) with that of a “global panel” of 218 conditions.11 The screen positive rates were 13% and 36%, respectively. However, the 12 most commonly conditions detected by the global panel (ie, those with a positive rate of 1% or greater) included those suggested by ACOG, in addition to three conditions mild or amenable to neonatal screening and treatment and nonsyndromic hearing loss related to mutations in GJB2. In the second study, nine of the 15 couples found to be at risk based on a commercial panel of 100 genetic diseases would have been identified through the ACOG-suggested panel16 the missed conditions were Pompe disease (glycogen storage disease type II), familial Mediterranean fever, GJB2-related nonsyndromic hearing loss, and two mild conditions (achromatopsia and familial Mediterranean fever). It appears that the optimal balance has not yet been achieved; couples are still are risk for undue anxiety and for spending time and money on follow-up testing for mild conditions or conditions with low screening performance. Any benefits of ECS would be mediated by how parents use the information provided by the ECS panels. In 2018, initial data regarding reproductive outcomes of couples that undergo ECS have been published. A survey of 537 couples, in which both partners were identified as carriers for the same autosomal recessive condition, classified as profound, severe, or moderate based on published criteria, found that disease severity had a significant association with changes in decision-making.17 The study was potentially biased by the low response rate (12%). Pregnancy status is another important variable that predicts whether ECS translates into decision-making. Studies originating from IVF clinics have found that 100% of couples in which both partners carry pathogenic variants of the same gene elect to screen embryos through pre-implantation genetic testing, independently from the severity of the condition.16, 18 In contrast, among those screened during pregnancy, only 37% elect prenatal diagnostic testing for that pregnancy.19 A survey of pregnant women's perspectives on ECS confirms such findings: about 42% were unsure what they would do if they discovered their fetus had a genetic disorder, 34% would continue the pregnancy and prepare for the birth of an affected child, and only 24% would likely terminate their pregnancy.20 The study also highlighted the deficit in knowledge of pregnant women. In the study, ECS was proposed in a standardized way with pretest genetic counseling. Among the 50% of women who declined ECS, the most quoted reason (selected by 77% of participants) was that they had no family history. Since ECS screens for monogenic recessive disorders, family history would not be expected to be informative; conversely, women with a positive family history would not be good candidates for ECS, as they would require genetic assessment of their own specific risk and appropriate testing. What kind of information do patients receive related to ECS? Since many healthcare providers lack genetic knowledge to deliver appropriate pretest counseling, are hindered by time constraints and workload and are fearful of overloading prospective parents with too much information during a consultation, couples may go directly to the ECS websites to gather information on conditions tested, potential benefits, and limitations of the screen. A study conducted a comprehensive online search to analyze the content of marketing materials on ECS providers' websites, most of which were commercial.21 Making an informed decision about ECS would require providing neutral information about ECS, nondirective offers of testing, and informed decisions about disorders to be screened. The authors found that there are wide variations in the way ECS is offered, with some sites being quite directive. Most ECS providers offered complimentary genetic counseling to their consumers, although this was often optional, limited to the post-test context, and, in some cases, appeared to be available only to test-positive individuals. Limitations of ECS were usually downplayed, such as the uncertainties involved with many of the conditions screened in ECS panels, including the variable age of onset for some conditions, phenotypes that are not clearly defined, conditions that are not recommended for general population screening in current screening guidelines, and rare conditions for which risk after negative screening results is not known. The above issues are being debated at the same time as innovations are being introduced in ECS, which is moving from targeted mutation screening to genome sequencing of gene-disorder pairs.22, 23 This new technology may improve the sensitivity of detecting clinically significant variants. Since the initial publication in 2015 by Greco and Colleagues,24 that demonstrated that transfer of mosaic aneuploid embryos at preimplantation genetic testing for aneuploidy (PGT-A) can lead to the birth of apparently healthy babies, there have been at least six other studies that reaffirm this finding.25-30 The transfer of a mosaic embryo does not always lead to a live birth and in fact carries with it a greater likelihood of miscarriage and lower birth rates compared with the transfer of nonaneuploid embryos.25-30 The most recent study by Zhang and coworkers showed a live birth rate of 43.5% in the mosaic whole chromosome aneuploidy group compared with 59.1% in the euploid embryo group (P = 0.02).30 This rate is consistent with that reported in other studies.26, 28 Given that some mosaic embryos will result in a normal outcome and others will not, Spinella et al29 looked for additional predictors that would assist in identifying which mosaic embryos have the best reproductive potential. Their prospective study revealed significantly better clinical outcomes in embryos with lower mosaic aneuploidy proportions (ie, with mosaicism in less than 50% of the biopsy cells) compared with those with a higher proportion of abnormal cells (>50%). Specifically, higher implantation (48.9% vs 24.2%), clinical pregnancy transfer vs and live birth rates vs clinical outcomes across all were in embryo with greater than 50% mosaic aneuploidy compared with normal euploid lower clinical pregnancy transfer vs implantation rates vs and live birth rates vs There were no significant differences in clinical outcomes when the euploid embryo group with those with lower mosaicism This led the to that embryos with low aneuploidy have higher of in the birth of healthy compared with embryos with higher mosaicism a publication by and colleagues directly with this The authors the published by and and performed a analysis of pregnancy outcomes transfer of mosaic Their results the initial study with higher pregnancy rates vs and lower miscarriage rates vs in euploid embryos compared with mosaic In and colleagues found no significant differences in pregnancy or miscarriage rates among mosaic embryo at of They that the of mosaicism was a of pregnancy and It that assessment of the mosaic in a biopsy does not a of the reproductive potential of a mosaic This is not as studies that a biopsy of to 10 cells may not the in the of the embryo when there is from other can reproductive potential. 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with multiple or after clinical genetic conclusions the published by the of Prenatal the of and the in will clinical of prenatal sequencing as the plans to include fetal sequencing in the and on the other of the will the value of this technology and include it in In the of fetal the prenatal treatment of selected of on centers are and outcomes have with all the centers will be to the results of the most to be This year, the results of the were as were of the published studies that for two fetuses there will be one not a and for there will be one additional to there to be no on by the risk associated with in The outcomes of patients are For will the initial in function be confirmed and become more data from would the same and on fetal done in the as compared with and status a better than expected no in or The of most fetal is whether prenatal can be performed well more is being but the results in in these are the for in the neonatal of may be the of inclusion may be more likely in prenatal or the rate at which the to its normal which is considered an for In that the is high as more recent studies high as on or The for moving to a invasive is high as it maternal when done This is a as maternal of the not be or the of the also the risk of which is common after This is as of fetuses with does not to improve of a which is done by A on the clinical of as well as on how this be in Prenatal Diagnosis have the of and have that and of the fetal at higher these do not to in clinical human as they to be by the and There is also some initial from data that clinical does not severe fetal that have been suggested to fetal are to or as for their on the other appropriate to the for As for it that in the To trial will be In this context, Prenatal Diagnosis published this year a on prenatal assessment of fetuses with including risk This is based on prenatal but also genetic testing. The use of targeted sequencing a genetic in of it can identify new in treatment of on novel treatment including Some of are has for prenatal and fetal exome sequencing and some from and in kind for on NIPT in 2014 to is partially by the at The in this are those of the and not those of the the or the of

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,021
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,049
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,021
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,287
Écart entre enseignants0,270 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations8
Publié2018
Routes d'admission1
Résumé présentoui

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