Causal association between years of schooling and the risk of traumatic brain injury: A two-sample mendelian randomization analysis.
J Affect Disord
; 354: 483-490, 2024 Jun 01.
Article
em En
| MEDLINE
| ID: mdl-38484892
ABSTRACT
OBJECTIVE:
To investigate whether the number of years of schooling are causally associated traumatic brain injury (TBI). We aimed to investigate whether the number of years of schooling are causally associated TBI.METHODS:
We investigate the prospective causal effect of years of schooling on TBI using summary statistical data. The statistical dataset comprising years of schooling (n = 293,723) from genome-wide association studies (GWASs) deposited in the UK Biobank was used for exposure. We used the following GWAS available in the FinnGen dataset individuals with TBI (total = 13,165; control = 136,576; number of single nucleotide polymorphisms [SNPs] = 16,380,088).RESULTS:
Seventy significant genome-wide SNPs from GWAS datasets with annotated years of schooling were selected as instrumental variables. The inverse variance weighted method results supported a causal relationship between years of schooling and TBI (odds ratio (OR), 0.78; 95 % confidence interval (CI), 0.62-0.98; P = 0.029). MR-Egger regression showed that polydirectionality was unlikely to bias the results (intercept = 0.007, SE = 0.01, P = 0.484) and demonstrated no causal relationship between years of schooling and TBI (OR, 0.52; 95%CI, 0.17-1.64; P = 0.270). The weighted median method revealed a causal relationship with TBI (OR, 0.73; 95%CI, 0.55-0.98; P = 0.047). A Cochran's Q test and funnel plot did not show heterogeneity nor asymmetry, indicating no directional pleiotropy.CONCLUSIONS:
The current investigation yields substantiation of a causal association between years of schooling and TBI development. More years of schooling may be causally associated with a reduced risk of TBI, which has implications for clinical and public health practices and policies.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Estudo de Associação Genômica Ampla
/
Análise da Randomização Mendeliana
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article