遗传力
遗传学
单核苷酸多态性
SNP公司
遗传力缺失问题
生物
遗传关联
基因分型
全基因组关联研究
SNP基因分型
遗传变异
内表型
基因
基因型
神经科学
认知
作者
Xinzhuang Yang,Mengyao Wan,Dingding Zhang,Yi Dai,Zuanfeng Pan,Feifei Zhai,Fei Han,Yi‐Jing Liu,Lixin Zhou,Jun Ni,Ming Yao,Zhengyu Jin,Liying Cui,Shuyang Zhang,Yi‐Cheng Zhu
出处
期刊:Neurology
[Ovid Technologies (Wolters Kluwer)]
日期:2022-07-19
卷期号:99 (3)
标识
DOI:10.1212/wnl.0000000000200554
摘要
The genetic characteristics and correlations of hippocampal volume (HV) and plasma β-amyloid (Aβ), probable endophenotypes for dementia, remain to be explored in a Chinese community cohort. Using whole-exome sequencing (WES) and single nucleotide polymorphism (SNP) array genotyping, we sought to identify rare and common variants and genes influencing these 2 endophenotypes and calculate their heritability and genetic correlation.Association analyses with both WES and SNP array genotyping data were performed for HV and plasma Aβ with mixed-effect linear regression model adjusted for sex, age, and total intracranial volume or APOE ε4 while considering familial relatedness. We also performed gene-level analysis for common and gene burden analysis for rare variants. Heritability and genetic correlation were examined further.A total of 1,261 participants from a Chinese community cohort were included and we identified 1 gene, PTPRT, for HV, with the top significant SNPs by whole genome-wide association study (GWAS). rs6030076 (p = 5.48 × 10-8, β = -0.092, SE 0.017) from WES and rs6030088 (p = 8.24 × 10-9, β = -105.22, SE 18.09) from SNP array data were both located in this gene. Gene burden analysis based on rare mutations detected 6 genes to be significantly associated with Aβ. The SNP-based heritability was 0.43 ± 0.13 for HV and 0.2-0.3 for plasma Aβ. The SNP-based genetic correlation between HV and plasma Aβ was negative.In this study, we identified several SNPs and 1 gene, PTPRT, which were not reported in previous GWAS, associated with HV. The heritability and the genetic correlation gave an overview of HV and plasma Aβ. Our findings provide insights into the mechanisms behind the individual variances in these endophenotypes.
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