Matthew C. Keller

The paper presents a method to distinguish half-sibling from niece/nephew-avuncular pairs using genotype data alone, achieving over 98% accuracy without pedigree information.

This paper introduces a novel method for across-chromosome phasing without requiring relative data, achieving high accuracy when within-chromosome phasing is accurate.

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 analyzes partner correlations across 22 traits using meta-analysis and 133 traits in the UK Biobank, finding positive correlations with varying strengths.

This study examines genetic relationships between chronic pain, psychiatric conditions, and neuroticism, finding shared genetic factors between pain and psychiatric conditions, with neuroticism explaining some shared variance.

The paper analyzes autozygosity trends across three large cohorts, finding a decline over time with country-specific variations and potential socioeconomic factors influencing the trend.

This study performs a large-scale GWAS on executive functions, identifying genetic variants linked to synaptic and GABAergic pathways and showing distinct genetic relationships with intelligence and psychiatric disorders.

The paper examines the associations between autozygosity, cognitive ability, and parental educational attainment in a contemporary American sample, finding weaker effects compared to prior studies.

This study performs a multivariate GWAS on psychiatric disorders and symptoms to identify two genetic liabilities distinguishing common mood disturbances from serious mental illnesses.

The paper shows that marker-based heritability estimators are biased under assortative mating and proposes corrected estimators for traits under equilibrium assortative mating.

This paper investigates heterogeneous genetic effects on smoking behaviors using UK Biobank data, finding evidence of sex- and psychiatric disorder-specific genetic associations and improved polygenic risk score prediction with sex-specific effects.

This paper identifies potential nootropic drug targets by integrating large-scale cognitive GWAS and transcriptomic data to find credible druggable genes.

The paper introduces a parallelized algorithm for pairwise comparison problems, demonstrating significant efficiency gains in detecting identical by descent segments in whole-genome data.

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.

The paper estimates SNP-based heritability for four smoking behaviors using partitioned h2SNP in the UK Biobank, finding modest heritability and significant contributions from low-frequency variants.

This paper estimates parental effects on offspring using polygenic scores and causal models, showing how joint modeling can provide unbiased estimates of environmental influences.

The paper assesses the association of two gene sets with smoking behaviors using GWAS data and finds they contribute little to the heritability of these traits.

The paper reanalyzes Domingue et al. (2018) and shows their claims of social genetic effects and genetic similarity among friends are not supported by the data.

The paper uses pleiotropic meta-analysis to identify genetic loci associated with cognition, education, and schizophrenia, revealing distinct biological mechanisms for concordant and discordant genetic correlations.

The paper imputes four VNTR polymorphisms and one modifying SNP into 486,551 UK Biobank individuals, enabling rigorous testing of their association with psychiatric phenotypes.

The paper quantifies assortative mating on complex traits by analyzing SNP data from 400,000 individuals, finding significant evidence for height and educational attainment.

The paper investigates the relationship between estimated autozygosity and 26 complex traits in the UK Biobank, finding significant associations with fluid intelligence, forced expiratory volume, and age at first sexual intercourse.

This study identifies 206 new genomic loci and 1,041 genes associated with intelligence using a large GWAS meta-analysis of 279,930 individuals.

The paper compares methods for estimating heritability and genetic architecture using whole genome data and finds that larger imputation panels improve accuracy of causal variant frequency estimates.

This study performs a large-scale GWAS of cognitive ability, identifies 70 genomic loci, and finds tissue-specific gene expression and potential drug targets.

The paper tests quantitative gene-environment interactions in unrelated individuals using a new maximum likelihood method applied to UK Biobank IQ data, finding increased genetic variation with lower socioeconomic status.

This paper introduces FISHR, a method for detecting IBD segments in SNP data, showing it is accurate for long segments and efficient for large datasets.

The paper shows that haplotypes of common SNPs explain more heritability of complex diseases than individual SNPs alone.