Heming Wang

The paper identifies 16 genetic loci interacting with sleep duration to influence glycemic traits in over 480,000 individuals, revealing distinct biological mechanisms for short and long sleep.

ScreenDMT identifies metabolites consistently linked to sleep disorders across three human cohorts, revealing replicable associations with insomnia, sleep duration, and daytime sleepiness.

This study performs genome-wide association analysis on composite sleep health scores, identifying 28 novel loci and confirming 341 previously reported loci, with insights into genetic mechanisms and pathways.

This study identifies gene-environment interactions between excessive daytime sleepiness and genetic variants linked to obstructive sleep apnea severity, revealing novel therapeutic targets.

This study uses whole genome sequencing to identify 18 novel genetic loci associated with plasma fibrinogen levels, including variants more common in African populations and linked to liver-related traits and disease.

This paper uses pleiotropy to discover new genetic loci for OSA and provide biological hypotheses by combining colocalization tests with pleiotropy analysis.

The paper performs whole genome sequence association analysis of fasting glucose and insulin levels in diverse cohorts, identifying 22 significant variants across 16 gene regions, including rare variants.

The paper integrates multi-omics data to analyze how sleep-disordered breathing traits affect gene expression, metabolites, and potential causal pathways across blood cell types.

This study identifies novel blood pressure variants through pleiotropy analysis and improves polygenic risk scores for hypertension and cardiovascular disease.

The paper examines the concordance and characteristics of mitochondrial heteroplasmic mutations in maternal pairs of European and African ancestry, finding higher concordance in close relatives and associations with age and nuclear genome regions.

The paper identifies novel genetic loci associated with blood pressure that interact with sleep duration across multiple ancestries.

This study identifies genetic loci associated with daytime napping and finds potential causal links between napping and cardiometabolic traits.

The paper identifies rare non-coding variants from whole genome sequencing in the TOPMed program, showing they contribute significantly to type 2 diabetes heritability.

The paper examines gene expression in blood cells linked to sleep apnea traits, identifying CD1D and RAB20 expression changes reversed by CPAP treatment.

The paper analyzes de novo mutations in 1,465 genomes to show similar mutation rates across ancestries but reduced rates in the Amish population, with environmental factors possibly influencing mutation rates.

This study identifies 42 genetic loci associated with excessive daytime sleepiness and links them to phenotypic subgroups and related traits.

The paper identifies DNA methylation sites associated with daytime sleepiness in African Americans using epigenome-wide association analysis in the Multi-Ethnic Study of Atherosclerosis.

This study identifies 96 genome-wide significant loci associated with dietary intake variation using a multi-trait GWAS meta-analysis across 283,119 individuals.

The paper identifies 49 novel blood lipid loci associated with gene-sleep interactions in 126,926 individuals across 5 ancestry groups, with gene-short-sleep interactions explaining 4.25% of triglyceride variance.

The paper identifies 57 genomic regions associated with insomnia symptoms, linking them to phototransduction, ubiquitination, and potential causal relationships with coronary heart disease and depression.