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Patterns of multiple congenital anomalies in the National Birth Defect Prevention Study: Challenges and insights
Meredith M Howley1, Eva Williford1, A J Agopian2
1Birth Defects Registry, New York State Department of Health, Albany, New York, USA.
Insights
Multiple congenital anomalies (MCAs) in children can indicate underlying causes. Analyzing MCA patterns in the National Birth Defects Prevention Study (NBDPS) helps identify syndromic associations and guide future genetic research.
Area of Science:
- Pediatric genetics and developmental biology
- Birth defect surveillance and epidemiology
- Syndromology and genetic associations
Background:
- Multiple congenital anomalies (MCAs) affect 20%-30% of children with birth defects, involving multiple organ systems.
- Studying MCA patterns offers insights into causes, mechanisms, and developmental pathways.
- The National Birth Defects Prevention Study (NBDPS) investigated MCAs, excluding known genetic abnormalities.
Purpose of the Study:
- To explore patterns of multiple congenital anomalies (MCAs) within the NBDPS.
- To identify significant co-occurring birth defects and their associations.
- To inform genetic studies and improve birth defect surveillance.
Main Methods:
- Defined MCAs as two or more NBDPS-eligible birth defects.
- Calculated adjusted observed-to-expected ratios for MCA patterns using co-occurring defect analysis.
- Analyzed 50,186 case infants, identifying numerous combinations of birth defects.
Main Results:
- 3.7% of infants had at least two eligible birth defects, with 209 two-way to 69 five-way combinations observed.
- Sacral agenesis (70%) and gastroschisis (3%) showed the highest and lowest proportions of MCAs, respectively.
- Heart defects (63%), oral clefts (23%), and anorectal atresia/stenosis (21%) were common in MCAs; top patterns aligned with known syndromes like VATER/VACTERL and CHARGE.
Conclusions:
- Highest observed-to-expected ratios often corresponded to known syndromes or associations.
- Emphasizes recognizing syndromic patterns even without a formal diagnosis.
- Suggests improved surveillance methods for identifying associations like VATER/VACTERL and aids genetic research by defining high-yield case groups.
Background:
About 20%-30% of children with birth defects have multiple major birth defects in more than one organ system, often referred to as multiple congenital anomalies (MCAs). Evaluating the patterns of MCAs can provide clues to the underlying causes, pathogenic mechanisms, and developmental pathways. We sought to explore selected patterns of MCAs within the National Birth Defects Prevention Study (NBDPS), a population-based, case-control study that excluded cases attributed to known chromosomal or single-gene abnormalities.
Methods:
We defined MCAs as having two or more NBDPS-eligible birth defects and calculated the adjusted observed-to-expected ratio for all observed MCA patterns using co-occurring defect analysis.
Results:
Of the 50,186 case infants eligible for NBDPS, 2,734 (3.7%) had at least two eligible birth defects. We observed 209 distinct 2-way combinations of birth defects, 297 distinct 3-way combinations, 179 distinct 4-way combinations, and 69 distinct 5-way combinations. Sacral agenesis had the largest proportion of cases with MCAs (70%), whereas gastroschisis had the lowest (3%). Among the cases with MCAs, 63% had a heart defect, 23% had an oral cleft, and 21% had anorectal atresia/stenosis. Of the patterns with adjusted observed-to-expected ratios in the top 20%, most were consistent with the known associations or syndromes, including VATER/VACTERL association and CHARGE syndrome.
Conclusions:
Most but not all patterns that had the highest adjusted observed-to-expected ratios were instances of known syndromes or associations. These findings highlight the importance of considering birth defect combinations that suggest syndromic patterns in the absence of a formal syndromic diagnosis. New approaches for screening for sequences and associations, and VATER/VACTERL in particular, in surveillance systems with limited resources for manual review may be valuable for improving surveillance system quality. The observed MCA patterns within NBDPS may help focus future genetic studies by generating case groups of higher yield.
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