插补(统计学)
全基因组关联研究
遗传关联
基因型
生物
计算生物学
数据科学
遗传学
统计
计算机科学
缺少数据
单核苷酸多态性
数学
基因
作者
Mirko Treccani,Elena Locatelli,Cristina Patuzzo,Giovanni Malerba
出处
期刊:Biocell
日期:2023-01-01
卷期号:47 (6): 1225-1241
被引量:6
标识
DOI:10.32604/biocell.2023.027884
摘要
The advent of genomic big data and the statistical need for reaching significant results have led genome-wide association studies to be ravenous of a huge number of genetic markers scattered along the whole genome. Since its very beginning, the so-called genotype imputation served this purpose; this statistical and inferential procedure based on a known reference panel opened the theoretical possibility to extend association analyses to a greater number of polymorphic sites which have not been previously assayed by the used technology. In this review, we present a broad overview of the genotype imputation process, showing the most known methods and presenting the main areas of interest, with a closer look to the most up-to-date approaches and a deeper understanding of its usage in the present-day genomic landscape, shedding a light on its future developments and investigation areas.
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