Penelope A. Lind

Ultra-rare damaging coding variants in 87,959 schizophrenia cases and 150,587 controls implicate 40 genes (16 exome-wide, 24 at 5% FDR), half overlapping autism, developmental delay or bipolar genes.

This study identifies genetic variants associated with healthcare costs across multiple systems, finding polygenic influences and large effects from specific loss-of-function variants.

This study conducts an epigenome-wide association study (EWAS) meta-analysis of wellbeing using DNA methylation data, finding no significant methylation sites but suggesting the need for larger studies.

This paper conducts a multi-ancestry GWAS of stimulant use disorder, identifies 19 genome-wide significant loci, and finds genetic correlations with other psychiatric and substance use disorders.

This study examines the association between CYP2C19 and CYP2D6 metabolizer phenotypes and amitriptyline effectiveness and tolerability in a chronic pain cohort, finding no strong associations after correction for multiple testing.

This study examines how individual polygenic risk scores (PRS) rankings change across GWAS releases and their implications for risk stratification.

This study conducts a large-scale GWAS meta-analysis of nevus count, identifying 29 new loci and highlighting immune-related pathways relevant to melanoma risk.

CONSILIENCE-GWAS integrates functional genomics data with human GWAS to analyze heritability and polygenic scores across species.

The paper identifies polygenic score differences between antidepressant responders and difficult-to-treat depression groups in the AGDS:Cell-o cohort, suggesting biological distinctions and potential for early stratification.

This study identifies genetic risk loci and factors underlying clinical subtypes of bipolar disorder using GWAS and meta-analysis.

This study identifies genetic risk factors for panic attacks and disorder through genome-wide meta-analysis and links them to multiple body systems and neuronal functions.

This study performs a multi-ancestral GWAS of DSM-defined nicotine dependence, finding genetic correlations with other substance use disorders and health traits, and identifying a strong general addiction liability factor.

The paper introduces BGE, a sequencing method that combines low-pass whole genome and deep whole exome data, showing high accuracy and cost-effectiveness for genetic variant discovery.

This study identifies 43 genomic loci associated with reproductive success in 785,604 individuals, showing ongoing natural selection at the FADS locus.

The paper examines factors influencing consent to prescription record linkage in a depression genetics study, finding phenotypic and genetic associations with participation rates.

In 159,701 siblings from 17 cohorts, population GWAS overstate direct effects on height, education, smoking, cognition, depressive symptoms and age at first birth; clinical traits mostly agree across models.

This study identifies genetic variants influencing human cortical surface area by integrating evolutionary annotations with neuroimaging genetic data, revealing recent polygenic selection on brain regions involved in language and vision.

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

The paper identifies genetic loci associated with human cortical structure and finds genetic correlations with neuropsychiatric disorders.

This study investigates whether genetic variation in the Major Histocompatibility Complex (MHC) is associated with depression risk, finding no significant associations at a conservative threshold.

The paper identifies 161 genome-wide significant genetic associations for cortical structure traits across 34 brain regions, highlighting key biological pathways and gene functions.

The paper examines how genetic and environmental factors influence DNA methylation at variably methylated regions in neonatal blood, finding that combined effects best explain methylation variability.

The paper identifies genetic associations with cortical surface area using PCA and GWAS, linking DAAM1 to visual cortex development through mitochondrial pathways and thalamocortical input.

This study uses Mendelian randomization to find a causal link between major depression and alcohol dependence using large genetic datasets.

This study identifies genetic variants associated with sporadic and recurrent miscarriage through large-scale association analyses and Mendelian randomization.

This study identifies 46 novel genetic loci associated with alcohol consumption and suggests shared genetic mechanisms with neuropsychiatric disorders using GWAS and functional analyses.

The paper applies polygenic risk scoring to a large family with bipolar and depressive disorders to study genetic risk patterns and anticipation.

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.