1. Univariate Analysis
1.1 Does the frequency of genetic disorders vary based on the type of genes inherited from parents?
This stacked bar plot shows the distribution of different genetic disorders based on whether they are inherited from the mother's side or the father's side.
Comparing the heights of the bars can reveal any patterns or differences in the prevalence of genetic disorders based on parental inheritance.
1.2 Is there a relationship between respiratory rate and genetic disorder subclass?
The distribution of different genetic disorders across various respiratory rate categories (e.g., Normal(30-60) , Tachypnea) is inferred. By analyzing the counts, we can infer if certain genetic disorders are more prevalent in specific respiratory rate categories.
1.3 Is there a gender difference in the occurrence of genetic disorders?
Male:
There's a notable prevalence of genetic disorders among male patients, as evidenced by the higher count compared to female patients.
Female:
While genetic disorders are also present among female patients, the count appears relatively lower compared to their male counterparts.
1.4 Does the number of previous abortions ('No. of previous abortion') correlate with the presence of genetic disorders ('Genetic Disorder') in patients?
Patients with no previous abortions exhibit a wider range of distribution for the presence of genetic disorders.
This suggests a higher variability in the occurrence of genetic disorders among individuals who have not undergone previous abortions.
1.5 Patients born with 'Birth asphyxia' are more likely to be diagnosed with a 'Genetic Disorder'.
The hypothesis suggests a potential link between birth asphyxia and genetic disorders, warranting further research to explore underlying mechanisms and risk factors .
1.6 Higher 'Heart Rate (rates/min)' is associated with an increased likelihood of being diagnosed with a 'Genetic Disorder'.
Shows how different genetic disorders are distributed across various heart rate ranges.
It reveals the prevalence of each disorder within different heart rate groups, providing insights into potential associations between heart rate and genetic conditions.
1.7 Is the distribution of 'Patient Age' different for those with and without 'Genetic Disorder'?
If there is a significant difference in the median and spread of 'Patient Age' between the groups, it suggests that patient age may be a factor in the occurrence of genetic disorders.
2. Bivariate Analysis
2.1 Do certain maternal illnesses increase the likelihood of metabolic issues in offspring?
It suggests that specific maternal illnesses may have a direct or indirect impact on the development of metabolic issues in offspring. Understanding this association is crucial for prenatal care and early intervention strategies.
2.2 Does the intake of folic acid peri-conceptionally affect the occurrence of cardiomyopathy and birth defects in patients?
These plots will show the count of offspring with and without cardiac anomalies , count of offspring with and without Birth Defects based on the level of peri-conceptional folic acid intake.
By comparing the heights of the bars for each category of folic acid intake, we can assess if there's a difference in the occurrence of cardiac anomalies among offspring with different levels of folic acid intake.
These visualizations suggest a potential protective effect of folic acid supplementation peri-conceptionally against the development of cardiomyopathy and birth defects.
2.3 How does the number of previous abortions correlate with the occurrence of genetic disorders across different age groups?
If certain age groups exhibit higher mean numbers of previous abortions for specific genetic disorders, it suggests a potential association between the number of previous abortions, patient age, and the occurrence of genetic disorders.
3. Multivariate Analysis
3.1 Is there a significant association between the genetic disorder subclass and the presence of cardiomyopathy, developmental delays, or metabolic issues?
Given the p-values obtained:
Cardiomyopathy: The extremely low p-value (2.2 * pow(10,-215)) indicates a very strong association. Different genetic disorder subclasses have markedly different probabilities of cardiomyopathy occurrence.
Developmental Delays: The p-value of 0.0 shows a highly significant association. This suggests that the likelihood of developmental delays is almost certainly dependent on the genetic disorder subclass.
Metabolic Issues: With a p-value of 0.0 , there is a very strong association between the genetic disorder subclass and the presence of metabolic issues. This means that metabolic issues are highly dependent on the specific genetic disorder subclass.
3.2 Is there a significant association between the presence of specific genetic disorders and the age of the patient, maternal gene involvement, and the history of maternal illnesses?
Genetic Disorder by Maternal gene:
The bar plot visualizes the distribution of different genetic disorders based on maternal gene involvement. It helps identify any patterns or associations between specific genetic disorders and maternal gene inheritance.
Patient Age by Genetic Disorder:
The violin plot illustrates the distribution of patient age across different genetic disorders. It helps understand if certain genetic disorders are more prevalent in certain age groups.
History of Maternal Illness by Genetic Disorder:
The count plot shows the distribution of the history of maternal illnesses across different genetic disorders. It helps identify any potential associations between specific genetic disorders and maternal health history.
3.3 How do 'H/O serious maternal illness', 'H/O radiation exposure (x-ray)', and 'H/O substance abuse' collectively impact the 'Developmental Delays'?
If certain combinations of maternal health factors show higher incidences of developmental delays, it could highlight the importance of maternal health in preventing developmental issues.
3.4 How do 'Inherited from father', 'Maternal gene', and 'Paternal gene' collectively influence 'Blood test result'?
If certain combinations show abnormal results, it could indicate a genetic influence on blood test outcomes.
3.5 Is there a significant association between 'Assisted conception IVF/ART' and 'Genetic Disorder'?