Study on the Correlation Characteristics Between Fetal Y Chromosome Concentration and Maternal Indicators Based on a Multiple Linear Regression Model
DOI:
https://doi.org/10.54097/p6vv5x34Keywords:
Multiple linear regression; Y chromosome concentration; Spearman correlation coefficient.Abstract
This study investigates the association between fetal Y chromosome concentration and maternal indicators in non-invasive prenatal testing (NIPT). It details the modeling process for quantitative relationships between fetal Y chromosome concentration and maternal factors including gestational age, BMI, and age. The research first standardized raw data and removed outliers based on the 3 sigma criterion to ensure foundational data quality. Following data visualization and Shapiro-Wilk normality tests confirming non-normal distribution, Spearman correlation coefficients were applied. Results indicated extremely weak correlations between gestational age, BMI, and age with Y chromosome concentration. A multiple linear regression model was then constructed using OLS estimation for regression coefficients, with significance assessed via t-tests and F-tests. The test results clearly indicated that gestational age and BMI exerted highly significant effects on Y chromosome concentration (p<0.05), while the influence of age was insignificant. Given the initial model's low coefficient of determination of only 0.0522, this study successfully optimized the model by clustering participants based on age and parity. This approach improved the value to between 0.1 and 0.3, significantly enhancing the model's explanatory power and validating the rationale for refining the basic model through detailed subgrouping.
Downloads
References
[1] Pan X, Weng L, Pan Y, et al. Borderline Z-scores in non-invasive prenatal screening: does its presence hold clinical significance? [J]. Archives of Gynecology and Obstetrics,2025, (prepublish):1-9.
[2] Yamamoto K, Suzumori N, Miura K, et al. Clinical Implications of Low Cell-Free DNA Fetal Fraction in Non-Invasive Prenatal Testing: A Retrospective Cohort Study of 40,716 Pregnancies. [J]. Prenatal diagnosis,2025.
[3] Wang C, Zhang H, Liu Y, et al. Results and indications changes by prenatal diagnosis of 3,458 pregnant women: a 10-year retrospective study. [J]. Annals of medicine,2025,57(1):2563753.
[4] Yamashita Y, Shirato N, Ishii T, et al. Perinatal outcomes of fetal CNVs detected by genome-wide non-invasive prenatal testing in Japan[J]. Journal of Human Genetics,2025, (prepublish):1-9.
[5] Sun F, Zhou Y, Zhao X, et al. Application of optimized non-invasive prenatal testing for thalassemia based on change of haplotype doses. [J]. Journal of genetics and genomics = Yi chuan xue bao,2025.
[6] Stevens C J S, Dijk V W, Souren Y N, et al. Clinically Irrelevant Terminal 16q21 Deletion Detected by NIPT Is Attributable to Inherited Fragility at FRA16B.[J]. American journal of medical genetics. Part A,2025, e64271.
[7] Zhou D Z, Zhou Y G, Russell M A, et al. Disorder–Order Phase Transformation in Ni50Pt50 and Ni20Pt45Al35 (at %) Alloys[J]. Physics of Metals and Metallography,2025,126(6):651-656.
[8] Ryan H, Lambert M, Loingsigh N S, et al. Evaluation of 6 years of fetal RHD screening in Ireland: From implementation to practice. [J]. Vox sanguinis,2025.
[9] Eekhout V A C J, Bax J C, Schuurman P V L, et al. Performance of non-invasive prenatal testing in vanishing-twin and multiple pregnancies: results of TRIDENT-2 study. [J]. Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology,2025.
[10] Li S, Yue F, Tan H, et al. Tailoring the Effects of Spin State and Intermediate Hydrogen Adsorption on NiPt/Ni Bridge Sites toward Robust Acidic Water Electrolysis. [J]. Nano letters,2025.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
