Meena Kumari B

The paper evaluates polygenic indices for neuropsychiatric conditions and brain endophenotypes across UK samples, finding environmental mediation in NPGIs and limited power in EPGIs.

The paper identifies stable and variable DNA methylation loci in human whole blood using the IlluminaEPIC array, showing their genomic distribution and genetic control.

This study identifies epigenetic markers associated with night shift work, showing links to BMI, education, smoking, and accelerated biological aging.

This study compares Nanopore sequencing with DNA methylation microarrays to evaluate its viability for epigenetic epidemiology, finding high correlation and significant smoking-associated methylation sites.

The paper identifies sex-associated differentially methylated CpG sites and regions in whole blood using the Illumina EPIC array, revealing their genomic locations and enrichment for sex-related transcription factors.

This study maps DNA methylation changes across the human life course using data from 7,037 individuals, showing increased variability and age-related mean changes at specific CpG sites.

The paper presents a DNA methylation-based sex classifier that predicts sex and identifies sex chromosome aneuploidy using CpG sites from whole blood samples.

The paper develops a novel DNA methylation clock optimized for human cortex tissue, outperforming existing clocks and highlighting issues with previous associations between DNA methylation age and neurodegenerative phenotypes.

This study assesses the transferability of lipid loci across African, Asian, and European populations, finding high consistency but also population-specific variations.

GWAS in over one million individuals identify 611 loci across risk tolerance and risky behaviors, revealing shared genetic architecture and implicating glutamatergic and GABAergic neurotransmission.

The paper identifies mQTLs and pleiotropic associations between DNAm, gene expression, and complex traits using SMR and a large UK cohort.

This study identifies 47 genetic associations with sleep traits using accelerometer data from 85,670 individuals, including novel variants for sleep quality and duration.

The paper examines the properties of the Horvath epigenetic clock in older individuals and finds age acceleration measures are age-dependent and may lead to misleading associations with diseases like Alzheimer's.

The paper identifies 63 genetic signals associated with well-being traits using genome-wide analyses and links them to gene expression and methylation in brain tissues.