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Meta-Analysis
. 2024 Sep 9;7(1):1103.
doi: 10.1038/s42003-024-06804-3.

Genome-wide association study meta-analysis of neurofilament light (NfL) levels in blood reveals novel loci related to neurodegeneration

Affiliations
Meta-Analysis

Genome-wide association study meta-analysis of neurofilament light (NfL) levels in blood reveals novel loci related to neurodegeneration

Shahzad Ahmad et al. Commun Biol. .

Abstract

Neurofilament light chain (NfL) levels in circulation have been established as a sensitive biomarker of neuro-axonal damage across a range of neurodegenerative disorders. Elucidation of the genetic architecture of blood NfL levels could provide new insights into molecular mechanisms underlying neurodegenerative disorders. In this meta-analysis of genome-wide association studies (GWAS) of blood NfL levels from eleven cohorts of European ancestry, we identify two genome-wide significant loci at 16p12 (UMOD) and 17q24 (SLC39A11). We observe association of three loci at 1q43 (FMN2), 12q14, and 12q21 with blood NfL levels in the meta-analysis of African-American ancestry. In the trans-ethnic meta-analysis, we identify three additional genome-wide significant loci at 1p32 (FGGY), 6q14 (TBX18), and 4q21. In the post-GWAS analyses, we observe the association of higher NfL polygenic risk score with increased plasma levels of total-tau, Aβ-40, Aβ-42, and higher incidence of Alzheimer's disease in the Rotterdam Study. Furthermore, Mendelian randomization analysis results suggest that a lower kidney function could cause higher blood NfL levels. This study uncovers multiple genetic loci of blood NfL levels, highlighting the genes related to molecular mechanism of neurodegeneration.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Manhattan plots for the meta-analysis of genome-wide association study (GWAS) of the blood levels of neurofilament light (NfL).
Manhattan plot based on GWAS meta-analysis of the European ancestry (A), African- American ancestry (B), and Trans-ethnic participants (C). The Observed associations of all tested genetic variants on autosomal chromosomes (X-axis) are displayed as –log10(P values) on the Y-axis. The red dotted horizontal line indicates a genome-wide significant association (P value < 5 × 10–8) with NfL levels in blood.
Fig. 2
Fig. 2. Loci identified in the European ancestry.
Regional plot for two genome-wide significant loci in the UMOD (A), and SLC39A11 (B), and suggestive locus near TMEM106B/VWDE genes (C) identified in the meta- analysis of neurofilament light (NfL) genome-wide association study (GWAS) in European ancestry. The genetic variants are denoted as colored circles with their P values (-log10) on left Y-axis and genomic location is based on build 37 on X-axis. Lead SNPs (purple diamond) are marked with their genomic location. Recombination rates are plotted on right Y-axis to represent the local linkage disequilibrium (LD) structure. The LD between the genetic variants is provided with a color scale, ranging from blue (r2 = 0) to red (r2 = 1). LD calculations are based on 1000 genome, European ancestry.
Fig. 3
Fig. 3. Loci identified in the African-American ancestry.
Regional plot for three loci in FMN2 (A), intergenic region at 12q14 (B) and 12q21 (C) identified in the meta-analysis of neurofilament light (NfL) genome-wide association study (GWAS) in African-American ancestry. The genetic variants are denoted as colored circles with their P values (-log10) on the left Y-axis and genomic location is based on build 37 on the X-axis. Lead SNPs (purple diamond) are marked with their genomic location. Recombination rates are plotted on right Y-axis to represent the local linkage disequilibrium (LD) structure. The LD between the genetic variants is provided with a color scale, ranging from blue (r2 = 0) to red (r2 = 1). LD calculations are based on 1000 genome, African ancestry.
Fig. 4
Fig. 4. Mendelian Randomization and Colocalization analysis.
Scatter plot of instrumental variable (SNPs) effect size estimates of kidney function (eGFR) on NfL in two sample Mendelian Randomization analysis (A), and Colocalization plot between UMOD locus and eGFR (kidney function) in European ancestry (B).

References

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