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Multivariate Analysis Of 1.5 Million People Identifies Genetic Associations With Traits Related To Self-Regulation And Addiction, Richard Karlsson Linnér, Travis T. Mallard, Peter B. Barr, Sandra Sanchez-Roige, James W. Madole, Morgan N. Driver, Holly E. Poore, Ronald De Vlaming, Andrew D. Grotzinger, Mark Kos
Multivariate Analysis Of 1.5 Million People Identifies Genetic Associations With Traits Related To Self-Regulation And Addiction, Richard Karlsson Linnér, Travis T. Mallard, Peter B. Barr, Sandra Sanchez-Roige, James W. Madole, Morgan N. Driver, Holly E. Poore, Ronald De Vlaming, Andrew D. Grotzinger, Mark Kos
School of Medicine Publications and Presentations
Behaviors and disorders related to self-regulation, such as substance use, antisocial behavior and attention-deficit/hyperactivity disorder, are collectively referred to as externalizing and have shared genetic liability. We applied a multivariate approach that leverages genetic correlations among externalizing traits for genome-wide association analyses. By pooling data from ~1.5 million people, our approach is statistically more powerful than single-trait analyses and identifies more than 500 genetic loci. The loci were enriched for genes expressed in the brain and related to nervous system development. A polygenic score constructed from our results predicts a range of behavioral and medical outcomes that were not part …
Genome Sequencing Unveils A Regulatory Landscape Of Platelet Reactivity, Ali R. Keramati, Ming-Huei Chen, Lisa R. Yanek, Arunoday Bhan, John Blangero, Benjamin A. T. Rodriguez, Joanne E. Curran, Michael Mahaney, Harald Hh Goring, Ravi Duggirala
Genome Sequencing Unveils A Regulatory Landscape Of Platelet Reactivity, Ali R. Keramati, Ming-Huei Chen, Lisa R. Yanek, Arunoday Bhan, John Blangero, Benjamin A. T. Rodriguez, Joanne E. Curran, Michael Mahaney, Harald Hh Goring, Ravi Duggirala
School of Medicine Publications and Presentations
Platelet aggregation at the site of atherosclerotic vascular injury is the underlying pathophysiology of myocardial infarction and stroke. To build upon prior GWAS, here we report on 16 loci identified through a whole genome sequencing (WGS) approach in 3,855 NHLBI Trans-Omics for Precision Medicine (TOPMed) participants deeply phenotyped for platelet aggregation. We identify the RGS18 locus, which encodes a myeloerythroid lineage-specific regulator of G-protein signaling that co-localizes with expression quantitative trait loci (eQTL) signatures for RGS18 expression in platelets. Gene-based approaches implicate the SVEP1 gene, a known contributor of coronary artery disease risk. Sentinel variants at RGS18 and PEAR1 are …
Variant-Specific Inflation Factors For Assessing Population Stratification At The Phenotypic Variance Level, Tamar Sofer, Xiuwen Zheng, Cecelia A. Laurie, Stephanie M. Gogarten, Jennifer A. Brody, Matthew P. Conomos, Joshua C. Bis, Timothy A. Thornton, Adam Szpiro, Joanne E. Curran, Michael Mahaney
Variant-Specific Inflation Factors For Assessing Population Stratification At The Phenotypic Variance Level, Tamar Sofer, Xiuwen Zheng, Cecelia A. Laurie, Stephanie M. Gogarten, Jennifer A. Brody, Matthew P. Conomos, Joshua C. Bis, Timothy A. Thornton, Adam Szpiro, Joanne E. Curran, Michael Mahaney
School of Medicine Publications and Presentations
In modern Whole Genome Sequencing (WGS) epidemiological studies, participant-level data from multiple studies are often pooled and results are obtained from a single analysis. We consider the impact of differential phenotype variances by study, which we term 'variance stratification'. Unaccounted for, variance stratification can lead to both decreased statistical power, and increased false positives rates, depending on how allele frequencies, sample sizes, and phenotypic variances vary across the studies that are pooled. We develop a procedure to compute variant-specific inflation factors, and show how it can be used for diagnosis of genetic association analyses on pooled individual level data from …
Chromosome Xq23 Is Associated With Lower Atherogenic Lipid Concentrations And Favorable Cardiometabolic Indices, Pradeep Natarajan, Akhil Pampana, Sarah E. Graham, Sanni Ruotsalainen, Paul S. De Vries, Jai G. Broome, Juan M. Peralta, John Blangero, Joanne E. Curran, James P. Pirruccello
Chromosome Xq23 Is Associated With Lower Atherogenic Lipid Concentrations And Favorable Cardiometabolic Indices, Pradeep Natarajan, Akhil Pampana, Sarah E. Graham, Sanni Ruotsalainen, Paul S. De Vries, Jai G. Broome, Juan M. Peralta, John Blangero, Joanne E. Curran, James P. Pirruccello
School of Medicine Publications and Presentations
Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10-72), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and …