전장 유전체 연관 분석을 위한 비모수 가설 검정 방법

• 발행기관: 한국산업경영시스템학회
• 저자명: 김선희 이동주 이창용
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2019년 춘계학술대회 논문집, 348~348쪽, 전체 1쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2019.05.03

영문 초록

In this study, we propose a method of the hypothesis test for genome-wide association analysis. Conventional methods represent the genotype values as the number of different allele and perform a usual t-test. However, the genotype is an ordinal quantity that do not contain a magnitude. As a result, the conventional method is not robust under the genotype encoding. Moreover, the encoding problem is related to how to construct the correlation between sample in order to take into account the population effect. To overcome this difficulty, we suggest a Kendall statistics which evaluates the degree of similarity between two sets of ranks. Thus, this statistics is more or less independent of the encoding and free from the assigning numerical value of allele. As a non-parametric method, the Kendall statistics does not require the normality of the phenotype values. This is another advantage of the usage of Kendall statistics because phenotype values from the dominant effect do not, in general, form a Gaussian distribution. We also show that experimental results support the advantage of the proposed method over the conventional model.

목차

Ⅰ. 소개

Ⅱ. 비모수 연관 분석

III. 연관 분석 결과

IV. 결론