Genome-wide association study of anterior uveitis.

Background/aims: The purpose of this study is to define genetic factors associated with anterior uveitis through genome-wide association study (GWAS).

Methods: In this GWAS meta-analysis, we combined data from the FinnGen, Estonian Biobank and UK Biobank with a total of 12 205 anterior uveitis cases and 917 145 controls. We performed a phenome-wide association study (PheWAS) to investigate associations across phenotypes and traits.

Urinary Metal Levels, Cognitive Test Performance, and Dementia in the Multi-Ethnic Study of Atherosclerosis.

Importance: Metals are established neurotoxicants, but evidence of their association with cognitive performance at low chronic exposure levels is limited.

Objective: To investigate the association of urinary metal levels, individually and as a mixture, with cognitive tests and dementia diagnosis, including effect modification by apolipoprotein ε4 allele (APOE4).

Design, Setting, And Participants: The multicenter prospective cohort Multi-Ethnic Study of Atherosclerosis (MESA) was started from July 2000 to August 2002, with follow-up through 2018.

Relationship Between Alzheimer Disease Imaging Biomarkers and Performance on the NIH Toolbox Cognition Battery in Late-middle Age Hispanics.

Purpose: The National Institute of Health Toolbox Cognition Battery (NIHTB-CB) is increasingly used in Alzheimer disease (AD) research. We examined the relation of AD biomarkers with performance in the NIHTB-CB in late middle age.

Methods: This is a cross-sectional analysis of 334 Hispanic participants aged 64.

Leveraging large-scale multi-omics evidences to identify therapeutic targets from genome-wide association studies.

Background: Therapeutic targets supported by genetic evidence from genome-wide association studies (GWAS) show higher probability of success in clinical trials. GWAS is a powerful approach to identify links between genetic variants and phenotypic variation; however, identifying the genes driving associations identified in GWAS remains challenging. Integration of molecular quantitative trait loci (molQTL) such as expression QTL (eQTL) using mendelian randomization (MR) and colocalization analyses can help with the identification of causal genes.

Genome-wide meta-analysis conducted in three large biobanks expands the genetic landscape of lumbar disc herniations.

Given that lumbar disc herniation (LDH) is a prevalent spinal condition that causes significant individual suffering and societal costs, the genetic basis of LDH has received relatively little research. Our aim is to increase understanding of the genetic factors influencing LDH. We perform a genome-wide association analysis (GWAS) of LDH in the FinnGen project and in Estonian and UK biobanks, followed by a genome-wide meta-analysis to combine the results.