Alexander M. Kulminski

The paper examines nonadditive genetic effects at the BIN1 and MS4A6A loci in Alzheimer's disease by analyzing SNP interactions and compound genotypes across four studies.

The paper identifies pleiotropic genetic factors shared between kidney function and sRAGE using GWAS and TWAS in the LLFS cohort.

The paper introduces a robust and fast two-sample test for equal Pearson correlations, demonstrating its accuracy and efficiency in detecting differential co-expression.

The paper identifies inter- and intra-chromosomal polymorphisms that modulate the risk of Alzheimer's disease associated with APOE ε2 and ε4 alleles through LD analysis and functional analysis.

The paper identifies allele-specific eQTLs for Alzheimer's disease variants in brain regions and cell types using bulk RNA-seq and single nuclei data.

NEBULA improves differential expression and co-expression analysis in large-scale multi-subject single-cell data by efficiently handling overdispersion with a negative binomial mixed model.

This study identifies exonic variants in ERN1, TACR3, and SPPL2C associated with Alzheimer's disease through exome-wide age-of-onset analysis, with functional insights into their regulatory roles.

This paper introduces COXMEG, an efficient R package for GWAS of age-at-onset traits using Cox mixed-effects models, demonstrating improved computational efficiency and statistical power.

This study identifies 54 novel sex-specific SNPs and 23 genes associated with Alzheimer's disease through genome-wide and transcriptome-wide analyses across four datasets.