Evidence map›Paper›PMID 28247551›Full record

ArticleHuman mutation2017

Characterization of chromosomal abnormalities in pregnancy losses reveals critical genes and loci for human early development.

Yiyun Chen, Justin Bartanus, Desheng Liang, Hongmin Zhu, Amy M Breman, Janice L Smith, Hua Wang, Zhilin Ren, Ankita Patel, Pawel Stankiewicz and 4 more

Open access · greenAbstract read
In one paragraph

Article in Human mutation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Genomics of pregnancy loss.Journal of assisted reproduction and genetics · 2026
    Review
  3. The hidden causes of pregnancy loss: a closer look.Journal of translational medicine · 2025
    Article
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  5. Review
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  15. A rigorousFrontiers in molecular neuroscience · 2022
    Article
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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

14 authors at 5 institutions in 2 countries.

Yiyun ChenHuman Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Justin BartanusHuman Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Desheng LiangState Key Lab of Medical Genetics of China Central South University, Changsha, Hunan, China.
Hongmin ZhuBerry Genomics Corporation, Beijing, China.
Amy M BremanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Janice L SmithDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Hua WangHunan Maternal and Child Health Care Hospital, Changsha, Hunan, China.
Zhilin RenBerry Genomics Corporation, Beijing, China.
Ankita PatelDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Pawel StankiewiczDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
David S CramBerry Genomics Corporation, Beijing, China.
Sau Wai CheungDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Lingqian WuState Key Lab of Medical Genetics of China Central South University, Changsha, Hunan, China.
Fuli YuHuman Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Baylor College of Medicine · USBerry Oncology (China) · CNBaylor Genetics · USCentral South University · CNHunan Provincial Maternal and Child Health Hospital · CN

Funding

PROGRAM IN HUMAN MOLECULAR GENETICST32GM008307 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI SHAULSKY, GAD · 1990 to 2020
$6.6M
VWF Activity: Molecular Biology, Ethnic Diversity and Disease AssociationsR01HL125957 · NHLBI · BLOODWORKS · PI DONG, JING-FEI, YU, FULI · 2015 to 2018
$2.5M
Next-Generation Bioinformatics for Next-Generation SequencingR01HG008115 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI YU, FULI, ZHANG, KUI · 2014 to 2016
$1.4M
NHGRI NIH HHS R01 HG008115NHLBI NIH HHS R01 HL125957NIGMS NIH HHS T32 GM008307Wellcome Trust
6 · The paper itself

Abstract

Detailed characterization of chromosomal abnormalities, a common cause for congenital abnormalities and pregnancy loss, is critical for elucidating genes for human fetal development. Here, 2,186 product-of-conception samples were tested for copy-number variations (CNVs) at two clinical diagnostic centers using whole-genome sequencing and high-resolution chromosomal microarray analysis. We developed a new gene discovery approach to predict potential developmental genes and identified 275 candidate genes from CNVs detected from both datasets. Based on Mouse Genome Informatics (MGI) and Zebrafish model organism database (ZFIN), 75% of identified genes could lead to developmental defects when mutated. Genes involved in embryonic development, gene transcription, and regulation of biological processes were significantly enriched. Especially, transcription factors and gene families sharing specific protein domains predominated, which included known developmental genes such as HOX, NKX homeodomain genes, and helix-loop-helix containing HAND2, NEUROG2, and NEUROD1 as well as potential novel developmental genes. We observed that developmental genes were denser in certain chromosomal regions, enabling identification of 31 potential genomic loci with clustered genes associated with development.

Indexed as

Chromosome AberrationsAnimalsChromosome DisordersDNA Copy Number VariationsEmbryonic DevelopmentFemaleGenome, HumanHumansMiceMicroarray AnalysisPregnancyTranscription FactorsZebrafishTranscription FactorsCMACNVscongenital malformationsessential gene predictionpregnancy lossWGS

Identifiers

PMID28247551
PMCPMC5671119
OpenAlexW2593961416

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.