1
|
Workalemahu T, Dalton S, Son SL, Allshouse A, Carey AZ, Page JM, Blue NR, Thorsten V, Goldenberg RL, Pinar H, Reddy UM, Silver RM. Copy number variants and fetal structural abnormalities in stillborn fetuses: A secondary analysis of the Stillbirth Collaborative Research Network study. BJOG 2024; 131:157-162. [PMID: 37264725 PMCID: PMC10689565 DOI: 10.1111/1471-0528.17561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 05/07/2023] [Accepted: 05/15/2023] [Indexed: 06/03/2023]
Abstract
OBJECTIVE To examine the association of placental and fetal DNA copy number variants (CNVs) with fetal structural malformations (FSMs) in stillborn fetuses. DESIGN A secondary analysis of stillbirth cases in the Stillbirth Collaborative Research Network (SCRN) study. SETTING Multicenter, 59 hospitals in five geographic regions in the USA. POPULATION 388 stillbirth cases of the SCRN study (2006-2008). METHODS Fetal structural malformations were grouped by anatomic system and specific malformation type (e.g. central nervous system, thoracic, cardiac, gastrointestinal, skeletal, umbilical cord and craniofacial defects). Single-nucleotide polymorphism array detected CNVs of at least 500 kb. CNVs were classified into two groups: normal, defined as no CNVs >500 kb or benign CNVs, and abnormal, defined as pathogenic or variants of unknown clinical significance. MAIN OUTCOME MEASURES The proportions of abnormal CNVs and normal CNVs were compared between stillbirth cases with and without FSMs using the Wald Chi-square test. RESULTS The proportion of stillbirth cases with any FSMs was higher among those with abnormal CNVs than among those with normal CNVs (47.5 versus 19.1%; P-value <0.001). The most common organ system-specific FSMs associated with abnormal CNVs were cardiac defects, followed by hydrops, craniofacial defects and skeletal defects. A pathogenic deletion of 1q21.1 involving 46 genes (e.g. CHD1L) and a duplication of 21q22.13 involving four genes (SIM2, CLDN14, CHAF1B, HLCS) were associated with a skeletal and cardiac defect, respectively. CONCLUSION Specific CNVs involving several genes were associated with FSMs in stillborn fetuses. The findings warrant further investigation and may inform counselling and care surrounding pregnancies affected by FSMs at risk for stillbirth.
Collapse
Affiliation(s)
| | | | - Shannon L. Son
- University of Utah Health, Salt Lake City, UT
- Intermountain Healthcare, Salt Lake City, UT
| | | | | | - Jessica M. Page
- University of Utah Health, Salt Lake City, UT
- Intermountain Healthcare, Salt Lake City, UT
| | | | - Vanessa Thorsten
- Columbia University Medical Center, New York, NY
- RTI International, Research Triangle Park, NC
| | | | - Halit Pinar
- Division of Perinatal Pathology, Brown University School of Medicine, Providence, RI
| | - Uma M. Reddy
- Obstetrics, Gynecology & Reproductive Sciences, Yale University, New Haven, CT
| | - Robert M. Silver
- University of Utah Health, Salt Lake City, UT
- Intermountain Healthcare, Salt Lake City, UT
| |
Collapse
|
2
|
Carey AZ, Blue NR, Varner MW, Page JM, Chaiyakunapruk N, Quinlan AR, Branch DW, Silver RM, Workalemahu T. A Systematic Review to Guide Future Efforts in the Determination of Genetic Causes of Pregnancy Loss. FRONTIERS IN REPRODUCTIVE HEALTH 2021; 3. [PMID: 35462723 PMCID: PMC9031276 DOI: 10.3389/frph.2021.770517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Pregnancy loss is the most common obstetric complication occurring in almost 30% of conceptions overall and in 12–14% of clinically recognized pregnancies. Pregnancy loss has strong genetic underpinnings, and despite this consensus, our understanding of its genetic causes remains limited. We conducted a systematic review of genetic factors in pregnancy loss to identify strategies to guide future research.Methods: To synthesize data from population-based association studies on genetics of pregnancy loss, we searched PubMed for relevant articles published between 01/01/2000-01/01/2020. We excluded review articles, case studies, studies with limited sample sizes to detect associations (N < 4), descriptive studies, commentaries, and studies with non-genetic etiologies. Studies were classified based on developmental periods in gestation to synthesize data across various developmental epochs.Results: Our search yielded 580 potential titles with 107 (18%) eligible after title/abstract review. Of these, 54 (50%) were selected for systematic review after full-text review. These studies examined either early pregnancy loss (n = 9 [17%]), pregnancy loss >20 weeks' gestation (n = 10 [18%]), recurrent pregnancy loss (n = 32 [59%]), unclassified pregnancy loss (n = 3 [4%]) as their primary outcomes. Multiple genetic pathways that are essential for embryonic/fetal survival as well as human development were identified.Conclusion: Several genetic pathways may play a role in pregnancy loss across developmental periods in gestation. Systematic evaluation of pregnancy loss across developmental epochs, utilizing whole genome sequencing in families may further elucidate causal genetic mechanisms and identify other pathways critical for embryonic/fetal survival.
Collapse
Affiliation(s)
- Andrew Z. Carey
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
| | - Nathan R. Blue
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Michael W. Varner
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Jessica M. Page
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Nathorn Chaiyakunapruk
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, United States
- School of Pharmacy, Monash University Malaysia, Subang Jaya, Malaysia
| | - Aaron R. Quinlan
- Department of Human Genetics, University of Utah, Salt Lake City, UT, United States
- Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT, United States
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - D. Ware Branch
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Robert M. Silver
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Tsegaselassie Workalemahu
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- *Correspondence: Tsegaselassie Workalemahu
| |
Collapse
|