PubHawk
October 2022 PMID 35347416

Predicting embryonic aneuploidy rate in IVF patients using whole-exome sequencing.

Siqi Sun, Maximilian Miller, Yanran Wang, Katarzyna M Tyc, Xiaolong Cao, Richard T Scott, Xin Tao, Yana Bromberg, Karen Schindler, Jinchuan Xing

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Mentions

33
Peak: 7 in Jun 2022
across 4 sources since Mar 2022

Extended reach

1,217,402
potential audience

Total likes

30

Video views

36

Mentions per month

Mar 2022 – Oct 2024

Where it's discussed

  • X / Twitter15 posts
  • News12 articles
  • Blogs4 articles
  • YouTube2 videos

AI synopsis

What people are saying

The discussions demonstrate strong support and curiosity, with many posters highlighting the potential impacts, such as improved IVF outcomes and miscarriage risk prediction, using enthusiastic terminology like 'game changer' and emphasizing ongoing conversations about the future of fertility treatments and genetic testing, reflecting high engagement and interest in the research's implications.

AgreementModerate agreement

Most discussions recognize the promise of using genetic data for predicting embryo health, indicating encouraging support for the research.

InterestHigh interest

The topic sparks high interest among users, evident from repeated mentions and enthusiasm about the implications for IVF success.

EngagementHigh engagement

Posts delve into detailed analysis and related topics like miscarriage prediction, showing deep engagement with the research's methodology and findings.

ImpactModerate impact

The discussions suggest that this work could significantly influence reproductive medicine, though some posts note the need for further validation or application.

Abstract in brief

  • This study investigates the use of whole-exome sequencing combined with machine learning to predict the risk of embryonic aneuploidy in women undergoing IVF, highlighting that certain genetic variants are linked to chromosome segregation errors.
  • The researchers achieved moderate predictive accuracy, with area under the curve (AUC) scores of 0.77 and 0.68, and identified specific genes like MCM5, FGGY, and DDX60L that may influence aneuploidy risk, especially those involved in meiotic processes.
  • The findings suggest that genetic sequencing data can help improve diagnosis and understanding of infertility related to aneuploid embryos, paving the way for targeted future research on the genetic pathways involved.]
Read the full abstract

Top posts

Most liked on X and Bluesky
Medical Xpress
@medical_xpress · X

Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zGKwYfZeAO https://t.co/ES5fVl7ENW

Jun 13, 2022 · 23 likes · 8 shares · 173,251 followers View post →
meiosispapers @meiosis_papers@mstdn.science
@meiosis_papers · X

Predicting embryonic aneuploidy rate in IVF patients using whole-exome sequencing | Siqi Sun | https://t.co/aMoquA94ja

Mar 29, 2022 · 7 likes · 4 shares · 1,578 followers View post →
Phys.org
@physorg_com · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 1,020,501 followers View post →
Medical Xpress
@physorg_health · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 7,078 followers View post →
چاند
@OneArt101 · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 3,851 followers View post →
Science X
@sciencex_com · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 3,532 followers View post →

All mentions

Catarina Cunha
@clemoscatarina · X

@ScienceSociety8 @wonderactionv @SerenaM17009865 @frankschoschka @Clubhouse Dr. Xing will discuss his latest paper https://t.co/HnUjsl4u1R

Aug 18, 2022 · 1,761 followers View post →
Science Society
@ScienceSociety8 · X

https://t.co/8Kjt8q7caa

Aug 18, 2022 · 152 followers View post →
serrgv
@serrgv · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 145 followers View post →
YOKONANABANBOSI
@yokonanabanbosi · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 465 followers View post →
چاند
@OneArt101 · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 3,851 followers View post →
Medical Xpress
@physorg_health · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 7,078 followers View post →
Science X
@sciencex_com · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 3,532 followers View post →
Phys.org
@physorg_com · X

RT @medical_xpress: Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zG…

Jun 13, 2022 · 8 shares · 1,020,501 followers View post →
Medical Xpress
@medical_xpress · X

Risk for miscarriage and failure of in vitro fertilization can be predicted with genomic data @RutgersU https://t.co/zGKwYfZeAO https://t.co/ES5fVl7ENW

Jun 13, 2022 · 23 likes · 8 shares · 173,251 followers View post →
Irene Miguel-Escalada
@irene_miguelesc · X

RT @meiosis_papers: Predicting embryonic aneuploidy rate in IVF patients using whole-exome sequencing | Siqi Sun | https://t.co/aMoquA94ja

Mar 29, 2022 · 4 shares · 449 followers View post →
Anna Russo
@anna_e_russo · X

RT @meiosis_papers: Predicting embryonic aneuploidy rate in IVF patients using whole-exome sequencing | Siqi Sun | https://t.co/aMoquA94ja

Mar 29, 2022 · 4 shares · 179 followers View post →
Hammed Tukur
@hammed2kur · X

RT @meiosis_papers: Predicting embryonic aneuploidy rate in IVF patients using whole-exome sequencing | Siqi Sun | https://t.co/aMoquA94ja

Mar 29, 2022 · 4 shares · 636 followers View post →
Dr. Karen Schindler
@KASchindler27 · X

RT @meiosis_papers: Predicting embryonic aneuploidy rate in IVF patients using whole-exome sequencing | Siqi Sun | https://t.co/aMoquA94ja

Mar 29, 2022 · 4 shares · 1,860 followers View post →
CompBiolPapers
@CompBiolPapers · X

Predicting embryonic aneuploidy rate in IVF patients using whole-exome sequencing https://t.co/Hx4MrLiHmp

Mar 29, 2022 · 1,776 followers View post →
meiosispapers @meiosis_papers@mstdn.science
@meiosis_papers · X

Predicting embryonic aneuploidy rate in IVF patients using whole-exome sequencing | Siqi Sun | https://t.co/aMoquA94ja

Mar 29, 2022 · 7 likes · 4 shares · 1,578 followers View post →