Jacqueline M. Lane

The paper identifies 260 genes associated with sleep phenotypes using rare coding variants from large-scale sequencing data, revealing distinct genetic architectures and biological mechanisms across different sleep measurements.

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 study performs a genome-wide association study for Long COVID, identifying a significant association with the FOXP4 locus and highlighting the role of pulmonary dysfunction and COVID-19 severity.

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 ADRA2A as a major risk locus for Raynaud's syndrome through genome-wide association analysis and functional validation in vascular smooth muscle cells.

The Circadia Study investigates circadian rhythm disorders through a home-based approach to collect data and improve understanding of their genetics and treatment.

The paper identifies common genetic variants for sleep duration across multiple ancestries and finds shared genetic effects in diverse populations.

This study tests a home-based protocol for measuring circadian phase via salivary DLMO, showing feasibility and accuracy in 10 participants.

This study identifies a genetic variant associated with light sensitivity by analyzing the interaction between daylight exposure and chronotype in a large cohort.

This study examines the impact of Mendelian sleep and circadian genetic variants in population cohorts and finds no strong associations with extreme sleep traits, though some variants show minor effects.

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

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

This paper defines and compares two INT-based association tests for non-normally distributed traits in GWAS, introduces an adaptive omnibus test, and shows it outperforms standard tests in power and type I error control.

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

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

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

This study identifies 351 new genetic loci associated with chronotype using data from 697,828 individuals and links them to circadian biology and disease.

Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.

This study identifies new genetic loci associated with sleep disturbance traits and finds shared genetic links with neuropsychiatric and metabolic traits.