Heritability of Cerebral Palsy Using Structural Equation Modeling

• 발행기관: 한국자료분석학회
• 저자명: Makoto Tomita Hiroko Taniai Sungho Moon Takeshi Nishiyama Satoshi Sumi
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.11 No.4, 1711~1717쪽, 전체 7쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2009.08.30

영문 초록

Cerebral palsy(CP) is an umbrella term encompassing a group of non- progressive, non-contagious conditions that cause physical disability in human development, however it is unknown etiology with evidence for genetic influences. The current study combined 10 monozygotic twins, 17 dizygotic twins and 1 monozygotic triplets in order to improve statistical power. At least one proband in each pair was diagnosed as having cerebral palsy. An investigation of genetic structure underlying cerebral palsy was performed. We use binary responses for this study. Among all possible values of the parameters, we found the maximum-likelihood estimate(MLE), the value that maximizes the log-likelihood for the model using statistical package “Mx”. A best fitting model of influences on cerebral palsy, incorporating additive genetic (A), shared environmental (C) and non-shared environmental influences (E), was generated using this model framework. From the AE or CE model which was the best model by Akaike’s information criterion(AIC), however we got a result of the estimated heritability was almost zero for cerebral palsy.

목차

1. Introduction

2. Subjects and Methods

3. Results

4. Discussion

References

키워드

cerebral palsy structural equation modeling twin study