Andrey Ziyatdinov

This study identifies 207 height-associated genes using rare protein-altering variants from over 1.4 million individuals, showing large effect sizes and overlap with Mendelian height syndromes.

The paper introduces SBAT, a method for joint testing of rare variant burden scores, showing it is well calibrated and outperforms existing tests in some scenarios.

The paper genotypes and sequences 140,000 adults from the Mexico City Prospective Study, revealing ancestry diversity and developing imputation resources for genetic studies.

The paper introduces REGENIE, a fast whole genome regression method for quantitative and binary traits, showing computational efficiency and accuracy on UK Biobank data.

This paper introduces an analytical method to estimate effective sample size in mixed-model GWAS of quantitative traits, showing its performance in unrelated and related individuals.

The paper decomposes multitrait genetic associations to identify pleiotropy profiles linking SNPs to biological pathways and drug targets.

The paper uses admixture mapping to identify smoking-dependent loci affecting lung function in African Americans, finding two genome-wide significant loci associated with ancestry-smoking interactions.

The paper introduces two R packages, bigstatsr and bigsnpr, for efficiently managing and analyzing large-scale genomic data within a single framework.

The paper introduces lme4qtl, an R package extending lme4 to enable flexible covariance structures and parameter constraints for QTL mapping in genetic studies of related individuals.