Underrepresentation of Phenotypic Variability of 16p13.11 Microduplication Syndrome Assessed With an Online Self-Phenotyping Tool (Phenotypr): Cohort Study

Evaluation the Application of Karyotype Analysis and Chromosome Microarray in Prenatal Diagnosis

Background

We aimed to compare the difference of the chromosomal abnormalities using karyotype analysis and chromosomal microarray (CMA) as well as to evaluate their application in different prenatal diagnosis indications.

Methods

Overall, 3007 pregnant women with prenatal diagnosis indications from Medical Genetics Department of Linyi Women and Children's Health Care Hospital, who underwent standard G-banded karyotype analysis and CMA, were enrolled from 2018-2022. G-banded karyotype analysis and CMA were undergone simultaneously. All fetuses with genetic variants were enrolled for further analyzing. The frequency and differences of chromosomal abnormalities of the two methods were compared in different prenatal diagnosis indications groups.

Results

CMA improved 4.09% (123/3007) of genetic changes compared karyotype analysis. CMA is on par with karyotyping for detection of aneuploidies and gross unbalanced rearrangements. Serological screening and ultrasound abnormalities were the main indications of prenatal diagnosis. The detection rate of chromosomal abnormalities was highest in non-invasive prenatal testing (NIPT) abnormal group. In the ultrasound abnormality group, the detection rate of genetic variants in nuchal translucency (NT) increased group was higher than other subgroups and there was statistically significant difference in the detection rate of pCNVs. CMA can detect 5.57% (40/718) more genetic abnormalities in ultrasound abnormality group on the normal karyotype. CMA improved 0.67% (20/3007) of genetic changes with clinically significant compared karyotype, brought 3.42% (103/3007) of variants with uncertain significance (VOUS).

Conclusion

CMA identified additional, clinically significant genetic variants on the basis of normal karyotype analysis, brought a proportion of unclear significant variants. All the pregnant women accepted amniocentesis should be informed about their characteristics of karyotype analysis and CMA by genetic counselors.

Parent-reported phenotype data on chromosome 6 aberrations collected via an online questionnaire: data consistency and data availability

BACKGROUND

Even with the introduction of new genetic techniques that enable accurate genomic characterization, knowledge about the phenotypic spectrum of rare chromosomal disorders is still limited, both in literature and existing databases. Yet this clinical information is of utmost importance for health professionals and the parents of children with rare diseases. Since existing databases are often hampered by the limited time and willingness of health professionals to input new data, we collected phenotype data directly from parents of children with a chromosome 6 disorder. These parents were reached via social media, and the information was collected via the online Chromosome 6 Questionnaire, which includes 115 main questions on congenital abnormalities, medical problems, behaviour, growth and development.

METHODS

Here, we assess data consistency by comparing parent-reported phenotypes to phenotypes based on copies of medical files for the same individual (n = 20) and data availability by comparing the data available on specific characteristics reported by parents (n = 34) to data available in existing literature (n = 39).

RESULTS

The reported answers to the main questions on phenotype characteristics were 85-95% consistent, and the consistency of answers to subsequent more detailed questions was 77-96%. For all but two main questions, significantly more data was collected from parents via the Chromosome 6 Questionnaire than was currently available in literature. For the topics developmental delay and brain abnormalities, no significant difference in the amount of available data was found. The only feature for which significantly more data was available in literature was a sub-question on the type of brain abnormality present.

CONCLUSION

This is the first study to compare phenotype data collected directly from parents to data extracted from medical files on the same individuals. We found that the data was highly consistent, and phenotype data collected via the online Chromosome 6 Questionnaire resulted in more available information on most clinical characteristics when compared to phenotypes reported in literature reports thus far. We encourage active patient participation in rare disease research and have shown that parent-reported phenotypes are reliable and contribute to our knowledge of the phenotypic spectrum of rare chromosomal disorders.

Biological Role of Nodal Modulator: A Comprehensive Review of the Last Two Decades

Nodal modulator (NOMO) is a type I transmembrane protein that is conserved in various human tissues. Humans have three highly similar NOMO proteins, namely NOMO1, NOMO2, and NOMO3. These three proteins are closely related and may have similar functions. NOMO has been identified as a part of a protein complex that mediates a wide range of biological processes such as tumor formation, bone and cartilage formation, embryo formation, facial asymmetry, and development of congenital heart disease. To date, a few studies have focused on the role of NOMO; however, the mechanism underlying its effects remains unknown. To improve our understanding regarding NOMO, we reviewed the role of NOMO in different diseases and investigated the mechanism underlying its effects.

Evaluation of a girl with 16p13.11 microduplication syndrome according to the International Classification of Functioning, Disability and Health perspectives

Objective: To present the functional status of a child with 16p13.11 microduplication syndrome by evaluating it under the International Classification of the World Health Organization's International Framework for Functioning, Disability and Health (ICF). Case Description: An 11-year-old girl with 16p13.11 microduplication syndrome was assessed using the tools classified according to ICF for Children and Youth (ICF-CY) categories to evaluate body function, activity participation, and environmental factors. There was a wide range of problems, from body functions to activity participation and environmental factors. Besides these problems, there were social and cognitive disorders as well. Conclusion: Physical and cognitive problems in body function and activity together constitute great barriers to participation in daily life.