Daniel J. Gottlieb

This study identifies 14 genome-wide significant loci for obstructive sleep apnea, including three independent of BMI, and highlights genetic pathways involving obesity, neurological, and craniofacial factors.

This study identifies genetic associations for multiple sleep disorders and medications in over 1.6 million individuals, revealing shared and unique genetic factors across sleep traits.

This paper develops a semi-empirical Bayesian framework to calibrate weak instrumental bias in sex-specific Mendelian randomization studies, revealing significant sex differences in causal effects of sleep phenotypes on cardiovascular diseases.

This paper conducts a multi-ancestry GWAS of sleep duration, identifying 234 genome-wide significant loci and showing distinct genetic architecture from other sleep and psychiatric traits.

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 conducts a GWAS of obstructive sleep apnea in the Million Veteran Program, identifying sex-specific genetic loci and highlighting genetic heterogeneity by sex.

This paper identifies genetic loci associated with short and long sleep duration through a cross-population meta-analysis and explores their genetic correlations and causal relationships with depression.

The paper reports whole-genome association analyses of sleep-disordered breathing traits in the NHLBI TOPMed program, identifying rare and common variant associations.

The paper introduces BinomiRare, a test for rare variant association with binary outcomes in mixed models, showing it controls type 1 error in simulations and applies it to study genetic variants in disease traits.

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

Over 400 million variants, 97% below 1% frequency, emerge from deep whole-genome sequencing of 53,831 diverse TOPMed participants; TOPMed haplotypes enable imputation down to ~0.01% frequency.

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 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.