Abdel Abdellaoui

The paper imputes fluid intelligence scores in a large cohort, reducing ascertainment bias and increasing power to detect genetic associations with common and rare variants.

The paper examines how polygenic indices for educational attainment change across birth cohorts and regions in Germany, finding stronger associations in recent cohorts and the East but weaker effects for women.

The paper investigates factors linked to sexlessness in large populations, finding associations with education, lifestyle, personality, and genetic factors.

This study identifies 30 genome-wide significant loci for obsessive-compulsive disorder (OCD) using a large GWAS, linking risk to specific brain cell types and shared genetic risk with other psychiatric and non-psychiatric traits.

This paper reviews and meta-analyzes studies using the autism polygenic score to assess its association with autism diagnosis and related traits, finding moderate associations with diagnosis and weaker links with traits.

This study identifies genetic variants associated with income and shows they correlate with health outcomes and educational attainment.

This study compares GWAS results of coffee intake from 23andMe and UK Biobank, finding discrepancies in genetic correlations with health traits and highlighting cultural differences in gene-cohort influences.

This study identifies genetic correlations between misophonia and psychiatric disorders, showing strong links with anxiety, PTSD, and specific personality traits.

The paper estimates how parents' cognitive and non-cognitive skills affect offspring education through environmental effects using polygenic scores and multiple study designs.

This study controls for geographic confounding in GWASs of 56 traits, showing that regional differences in SES reduce genetic signals for traits like education and income.

This study identifies 51 psycho-behavioral traits associated with the CADM2 gene through a phenome-wide scan in UK-Biobank, including novel links to sleep and dietary traits.

This study investigates genetic correlations and bidirectional effects between schizophrenia and cardiovascular disease, finding schizophrenia increases heart failure risk and early repolarization risk.

The paper identifies sex-differential participation bias in genetic studies by performing GWAS on sex in 3.3 million individuals, finding 158 loci associated with sex and highlighting traits like BMI that may influence participation.

The paper investigates how genetic correlates of socio-economic status affect shared heritability across mental health traits using genome-wide association summary statistics.

The paper extends a genetic correlation analysis of psychiatric disorders by including substance use disorders, revealing changes in the latent genetic factor structure.

This study identifies 157 genome-wide significant loci associated with non-cognitive contributions to educational attainment, explaining 57% of genetic variance.

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 correlations between regional Covid-19 case differences and socio-economic status, highlighting potential confounding effects in genetic susceptibility studies.

This study identifies genetic risk factors for major depressive disorder and loneliness as predictors of coronary artery disease risk, particularly in women.

This study identifies 73 genome-wide significant loci for mood disorders, revealing shared and distinct genetic factors between major depressive disorder and bipolar disorder.

The paper examines genetic clustering of complex traits and disease risk in Great Britain, finding that socio-economic status influences allele distribution and regional outcomes.

This study estimates heritability and genetic contributions to metabolite levels using genome-wide data and twin-family cohorts, revealing class-specific genetic influences.

This study identifies 12 genetic loci associated with loneliness and finds genetic correlations with 34 health outcomes, including cardiovascular and psychiatric 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 examines how genetic and environmental factors influence DNA methylation at variably methylated regions in neonatal blood, finding that combined effects best explain methylation variability.

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.

This study identifies novel HPE genes and oligogenic inheritance patterns in holoprosencephaly by integrating clinical data with exome sequencing and gene prioritization.

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

The paper uses SLDSR to show that eQTL effects on complex traits are not tissue-specific, supporting the use of accessible tissues like blood for eQTL discovery.

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.