Publications

2025

Seagle et al. (2025) Genomics-Informed Drug Repurposing Strategy Identifies Novel Therapeutic Targets for Metabolic Dysfunction-Associated Steatotic Liver Disease. https://doi.org/10.1101/2025.02.18.25321035

2024

Kember et al. (2024) A Mendelian randomization study of alcohol use and cardiometabolic disease risk in a multi-ancestry population from the Million Veteran Program. https://doi.org/10.1111/acer.15445

Guare et al. (2024) Enhancing genetic association power in endometriosis through unsupervised clustering of clinical subtypes identified from electronic health records. https://doi.org/10.21203/rs.3.rs-5004325/v1

Mandla et al. (2024) Multi-omics characterization of type 2 diabetes associated genetic variation. https://doi.org/10.1101/2024.07.15.24310282

Kaplan et al. Clinical and genetic risk factors for progressive fibrosis in metabolic dysfunction-associated steatotic liver disease. https://doi.org/10.1097/HC9.0000000000000487

Guare et al. (2024) Enhancing Genetic Association Power in Endometriosis through Unsupervised Clustering of Clinical Subtypes Identified from Electronic Health Records. https://doi.org/10.1101/2024.04.22.24306092

Hehl et al. A genome-first approach to variants in MLXIPL and their association with hepatic steatosis and plasma lipids. https://doi.org/10.1097/HC9.0000000000000427

Ghouse et al. (2024) Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis. https://doi.org/10.1038/s41588-024-01720-y

Yang et al. (2024) Type 1 Diabetes Genetic Risk in 109,954 Veterans With Adult-Onset Diabetes: The Million Veteran Program (MVP). https://doi.org/10.2337/dc23-1927

Suzuki et al. (2024) Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. https://doi.org/10.1038/s41586-024-07019-6

Song et al. (2024) Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosis. https://doi.org/10.1038/s41598-023-49470-x

Shuey et al. (2024) Session Introduction: Drug-repurposing and discovery in the era of “big” real-world data: how the incorporation of observational data, genetics, and other -omic technologies can move us forward. PMID: 38160282

Vujkovic et al. (2024) Assessing Long-Term Liver Safety of Statins and PCSK9 Inhibitors Using Human Genetics. https://doi.org/10.1016/j.jcmgh.2023.10.008

2023

Liu et al. (2023) Profiling the genome and proteome of metabolic dysfunction-associated steatotic liver disease identifies potential therapeutic targets. https://doi.org/10.1101/2023.11.30.23299247

Scorletti et al. (2023) A missense variant in human perilipin 2 (PLIN2 Ser251Pro) reduces hepatic steatosis in mice. https://doi.org/10.1016/j.jhepr.2023.100902

Vell et al. (2023) Aspirin is associated with a reduced incidence of liver disease in men. https://doi.org/10.1097/HC9.0000000000000268

Litkowski et al. (2023) Mendelian randomization study of diabetes and dementia in the Million Veteran Program. https://doi.org/10.1002/alz.13373

Shuey et al. (2023) A genetically supported drug repurposing pipeline for diabetes treatment using electronic health records. https://doi.org/10.1016/j.ebiom.2023.104674

Vell et al. (2023) Association of Statin Use With Risk of Liver Disease, Hepatocellular Carcinoma, and Liver-Related Mortality. https://doi.org/10.1001/jamanetworkopen.2023.20222

Kember et al. (2023) Genetic Underpinnings of the Transition From Alcohol Consumption to Alcohol Use Disorder: Shared and Unique Genetic Architectures in a Cross-Ancestry Sample. https://doi.org/10.1176/appi.ajp.21090892

Schneider et al. (2023) A coding variant in the microsomal triglyceride transfer protein reduces both hepatic steatosis and plasma lipids. https://doi.org/10.1111/apt.17566

Yarmolinsky et al. (2023) Genetically proxied glucose-lowering drug target perturbation and risk of cancer: a Mendelian randomisation analysis. https://doi.org/10.1007/s00125-023-05925-4

Suzuki et al. (2023) Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications. https://doi.org/10.1101/2023.03.31.23287839

Litkowski et al. (2023) Mendelian randomization study of diabetes and dementia in the Million Veteran Program. https://doi.org/10.1101/2023.03.07.23286526

Singhal et al. (2023) Session Introduction: SALUD: Scalable Applications of cLinical risk Utility and preDiction. PMID: 36540995

2022

Yuan et al. (2022) Effects of metabolic traits, lifestyle factors, and pharmacological interventions on liver fat: mendelian randomisation study. https://doi.org/10.1136/bmjmed-2022-000277

Stankov et al. (2023) Comparison of the structure-function properties of wild-type human apoA-V and a C-terminal truncation associated with elevated plasma triglycerides. https://doi.org/10.1101/2023.02.21.23286268

Huang et al. (2022) Genomics and phenomics of body mass index reveals a complex disease network. https://doi.org/10.1038/s41467-022-35553-2

Litkowski et al. (2022) A Diabetes Genetic Risk Score Is Associated With All-Cause Dementia and Clinically Diagnosed Vascular Dementia in the Million Veteran Program. https://doi.org/10.2337/dc22-0105

Tcheandjieu et al. (2022) Large-scale genome-wide association study of coronary artery disease in genetically diverse populations. https://doi.org/10.1038/s41591-022-01891-3

Vujkovic et al. (2022) A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation. https://doi.org/10.1038/s41588-022-01078-z

Kamiza et al. (2022) Transferability of genetic risk scores in African populations. https://doi.org/10.1038/s41591-022-01835-x

Gill et al. (2022) The Potential of Genetic Data for Prioritizing Drug Repurposing Efforts. https://doi.org/10.1212/WNL.0000000000200803

Mahajan et al. (2022) Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. https://doi.org/10.1038/s41588-022-01058-3

Loh et al. (2022) Author Correction: Identification of genetic effects underlying type 2 diabetes in South Asian and European populations. https://doi.org/10.1038/s42003-022-03404-x

Khankari et al. (2022) Using Mendelian randomisation to identify opportunities for type 2 diabetes prevention by repurposing medications used for lipid management. https://doi.org/10.1016/j.ebiom.2022.104038

Verma et al. (2022) A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program. https://doi.org/10.1371/journal.pgen.1010113

Loh et al. (2022) Identification of genetic effects underlying type 2 diabetes in South Asian and European populations. https://doi.org/10.1038/s42003-022-03248-5

Soremekun et al. (2022) Lipid traits and type 2 diabetes risk in African ancestry individuals: A Mendelian Randomization study. https://doi.org/10.1016/j.ebiom.2022.103953

Scorletti et al. (2022) Dietary Vitamin E Intake Is Associated With a Reduced Risk of Developing Digestive Diseases and Nonalcoholic Fatty Liver Disease. https://doi.org/10.14309/ajg.0000000000001726

Bellomo et al. (2022) Multi-Trait Genome-Wide Association Study of Atherosclerosis Detects Novel Pleiotropic Loci. https://doi.org/10.3389/fgene.2021.787545

Walker et al. (2022) Separating the direct effects of traits on atherosclerotic cardiovascular disease from those mediated by type 2 diabetes. https://doi.org/10.1007/s00125-022-05653-1

2021

Verma et al. (2021) A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program. https://doi.org/10.1101/2021.05.18.21257396

Karhunen et al. (2021) Leveraging human genetic data to investigate the cardiometabolic effects of glucose-dependent insulinotropic polypeptide signalling. https://doi.org/10.1007/s00125-021-05564-7

Schneider et al. (2021) A genome-first approach to mortality and metabolic phenotypes in MTARC1 p.Ala165Thr (rs2642438) heterozygotes and homozygotes. https://doi.org/10.1016/j.medj.2021.04.011

Daghlas et al. (2021) Genetic Evidence for Repurposing of GLP1R (Glucagon-Like Peptide-1 Receptor) Agonists to Prevent Heart Failure. https://doi.org/10.1161/JAHA.120.020331

Fatumo et al. (2021) Metabolic Traits and Stroke Risk in Individuals of African Ancestry: Mendelian Randomization Analysis. https://doi.org/10.1161/STROKEAHA.121.034747

Pazoki et al. (2021) Genetic analysis in European ancestry individuals identifies 517 loci associated with liver enzymes. https://doi.org/10.1038/s41467-021-22338-2

Gaziano et al. (2021) Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19. https://doi.org/10.1038/s41591-021-01310-z

Emdin et al. (2021) Correction: A missense variant in Mitochondrial Amidoxime Reducing Component 1 gene and protection against liver disease. https://doi.org/10.1371/journal.pgen.1009503

Malik et al. (2021) Relationship Between Blood Pressure and Incident Cardiovascular Disease: Linear and Nonlinear Mendelian Randomization Analyses. https://doi.org/10.1161/HYPERTENSIONAHA.120.16534

Ahmadmehrabi et al. (2021) Genome-first approach to rare EYA4 variants and cardio-auditory phenotypes in adults. https://doi.org/10.1007/s00439-021-02263-6

MacLean et al. (2021) Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. https://doi.org/10.1093/jamia/ocaa342

2020

Levin et al. (2020) Genetics of height and risk of atrial fibrillation: A Mendelian randomization study. https://doi.org/10.1371/journal.pmed.1003288

Serper et al. (2020) Validating a non-invasive, ALT-based non-alcoholic fatty liver phenotype in the million veteran program. https://doi.org/10.1371/journal.pone.0237430

Thom et al. (2020) Genetic determinants of increased body mass index mediate the effect of smoking on increased risk for type 2 diabetes but not coronary artery disease. https://doi.org/10.1093/hmg/ddaa193

Vujkovic et al. (2020) Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis. https://doi.org/10.1038/s41588-020-0637-y

Emdin et al. (2020) A missense variant in Mitochondrial Amidoxime Reducing Component 1 gene and protection against liver disease. https://doi.org/10.1371/journal.pgen.1008629

2019

Klarin et al. (2019) Genome-wide association analysis of venous thromboembolism identifies new risk loci and genetic overlap with arterial vascular disease. https://doi.org/10.1038/s41588-019-0519-3

Fang et al. (2019) Harmonizing Genetic Ancestry and Self-identified Race/Ethnicity in Genome-wide Association Studies. https://doi.org/10.1016/j.ajhg.2019.08.012

Klarin et al. (2019) Genome-wide association study of peripheral artery disease in the Million Veteran Program. https://doi.org/10.1038/s41591-019-0492-5

Flannick et al. (2019) Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls. https://doi.org/10.1038/s41586-019-1231-2

Tuteja et al. (2018) Genetic Variants Associated With Plasma Lipids Are Associated With the Lipid Response to Niacin. https://doi.org/10.1161/JAHA.117.008461

Klarin et al. (2018) Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program. https://doi.org/10.1038/s41588-018-0222-9

Torgersen et al. (2019) Impact of Efavirenz Metabolism on Loss to Care in Older HIV+ Africans. https://doi.org/10.1007/s13318-018-0507-5

2018

Vujkovic et al. (2018) Polymorphisms in cytochrome P450 are associated with extensive efavirenz pharmacokinetics and CNS toxicities in an HIV cohort in Botswana. https://doi.org/10.1038/s41397-018-0028-2

2017

Gross et al. (2017) CYP2B6 genotypes and early efavirenz-based HIV treatment outcomes in Botswana. https://doi.org/10.1097/QAD.0000000000001593

Vujkovic et al. (2017) Brief Report: CYP2B6 516G>T Minor Allele Protective of Late Virologic Failure in Efavirenz-Treated HIV-Infected Patients in Botswana. https://doi.org/10.1097/QAI.0000000000001442

Vujkovic et al. (2017) Genomic architecture and treatment outcome in pediatric acute myeloid leukemia: a Children’s Oncology Group report. https://doi.org/10.1182/blood-2017-03-772384

2016

Vujkovic et al. (2016) Comparing Analytic Methods for Longitudinal GWAS and a Case-Study Evaluating Chemotherapy Course Length in Pediatric AML. A Report from the Children’s Oncology Group. https://doi.org/10.3389/fgene.2016.00139

2015

Vujkovic et al. (2015) Associations between genetic variants in folate and drug metabolizing pathways and relapse risk in pediatric acute lymphoid leukemia on CCG-1952. https://doi.org/10.1016/j.lrr.2015.05.005

Vujkovic et al. (2015) Concordance of copy number alterations using a common analytic pipeline for genome-wide analysis of Illumina and Affymetrix genotyping data: a report from the Children’s Oncology Group. https://doi.org/10.1016/j.cancergen.2015.04.010

2014

van et al. (2014) Validity of a questionnaire measuring the world health organization concept of health system responsiveness with respect to perinatal services in the Dutch obstetric care system. https://doi.org/10.1186/s12913-014-0622-1

Wray et al. (2014) TPMT and MTHFR genotype is not associated with altered risk of thioguanine-related sinusoidal obstruction syndrome in pediatric acute lymphoblastic leukemia: a report from the Children’s Oncology Group. https://doi.org/10.1002/pbc.25057

Seif et al. (2014) Patient and hospital factors associated with induction mortality in acute lymphoblastic leukemia. https://doi.org/10.1002/pbc.24855

2013

Kavcic et al. (2013) Induction mortality and resource utilization in children treated for acute myeloid leukemia at free-standing pediatric hospitals in the United States. https://doi.org/10.1002/cncr.27957

Kavcic et al. (2013) Assembly of a cohort of children treated for acute myeloid leukemia at free-standing children’s hospitals in the United States using an administrative database. https://doi.org/10.1002/pbc.24402

2012

de et al. (2012) The effect of a mediolateral episiotomy during operative vaginal delivery on the risk of developing obstetrical anal sphincter injuries. https://doi.org/10.1016/j.ajog.2012.02.008

Timmermans et al. (2012) The Mediterranean diet and fetal size parameters: the Generation R Study. https://doi.org/10.1017/S000711451100691X

2011

Timmermans et al. (2011) Major dietary patterns and blood pressure patterns during pregnancy: the Generation R Study. https://doi.org/10.1016/j.ajog.2011.05.013

Hammiche et al. (2011) Increased preconception omega-3 polyunsaturated fatty acid intake improves embryo morphology. https://doi.org/10.1016/j.fertnstert.2010.11.021

2010

Vujkovic et al. (2010) The preconception Mediterranean dietary pattern in couples undergoing in vitro fertilization/intracytoplasmic sperm injection treatment increases the chance of pregnancy. https://doi.org/10.1016/j.fertnstert.2009.12.079

2007

Vujkovic et al. (2007) Maternal Western dietary patterns and the risk of developing a cleft lip with or without a cleft palate. https://doi.org/10.1097/01.AOG.0000268799.37044.c3