Genetics and Genomics Commons^™

Organism-Specific Sequence Motifs Link Ribosomal Rnas To Brain Disorders, Isidore Rigoutsos, Stepan Nersisyan, Eric Londin, Iliza Nazeraj, Bonnie Dong, Anastasios Vourekas, Phillipe Loher

Computational Medicine Center Faculty Papers

We report that in humans, mice, fruit flies, and worms, the ribosomal RNAs and the transcribed spacers of 45S are densely packed with organism-specific sequence motifs that are primarily shared with nervous system genes. The human ribosomal RNAs and 45S spacers contain 1,723 such motifs. Specific combinations of these motifs are predominantly found in 3,430 human nervous system genes, of which 1,046 are genes associated with brain disorders, including autism spectrum disorder and schizophrenia. The sequences of the 1,723 motifs and their locations in the introns and exons of nervous system genes are unique to primates. Experimental evidence indicates that …

Picalm Alzheimer’S Risk Allele Causes Aberrant Lipid Droplets In Microglia, Alena Kozlova, Siwei Zhang, Ari Sudwarts, Hanwen Zhang, Stanislau Smirnou, Seul Kee Byeon, Christina Thapa, Xiaotong Sun, Kimberley Stephenson, Xiaojie Zhao, Brendan Jamison, Moorthi Ponnusamy, Xin He, Julie A Schneider, Akhilesh Pandey, David A Bennett, Zhiping P Pang, Alan R Sanders, Hugo J Bellen, Gopal Thinakaran, Jubao Duan

Faculty, Staff and Students Publications

Despite genome-wide association studies (GWAS) of late-onset Alzheimer’s disease (LOAD) having identified many genetic risk loci1–3, the underlying disease mechanisms remain largely unclear. Determining causal disease variants and their LOAD-relevant cellular phenotypes has been a challenge. Here, using our approach for identifying functional GWAS risk variants showing allele-specific open chromatin, we systematically identified putative causal LOAD-risk variants in human induced pluripotent stem (iPS)-cell-derived neurons, astrocytes and microglia, and linked a PICALM LOAD-risk allele to a microglial-specific role of PICALM in lipid droplet (LD) accumulation. Allele-specific open-chromatin mapping revealed functional risk variants for 26 LOAD-risk loci, mostly …

Meta-Analysis Of Uveal Melanoma Genome-Wide Association Studies Identifies Novel Risk Loci And Population Effect Size Heterogeneity., Georgia Mies, Noah L. Tsao, Alexandre Houy, Sarah E. Coupland, Helen Kalirai, Asta Försti, Kari Hemminki, Hauke Thomsen, Marc-Henri Stern, Carol L. Shields, Scott M. Damrauer, Katheryn G. Ewens, Arupa Ganguly, Iain Mathieson

Wills Eye Hospital Papers

Uveal melanoma (UM) is a rare but frequently metastasizing cancer. Genome-wide association studies have identified three common genome-wide significant germline risk loci. Here, we perform a genome-wide association study on 401 new cases and conduct a meta-analysis with three independent previously published cohorts for a total sample size of 2,426 cases. We confirm the three previously identified risk loci and identify four additional genome-wide significant loci. We find that eye pigmentation-decreasing variants are systematically associated with increased UM risk and that selection for lighter pigmentation in the past 5,000 years explains about 73% of the difference in UM incidence between …

A Proteome-Wide Association Study Identifies Putative Causal Proteins For Breast Cancer Risk, Tianying Zhao, Shuai Xu, Jie Ping, Guochong Jia, Yongchao Dou, Jill E Henry, Bing Zhang, Xingyi Guo, Michele L Cote, Qiuyin Cai, Xiao-Ou Shu, Wei Zheng, Jirong Long

Faculty, Staff and Students Publications

BACKGROUND: Genome-wide association studies (GWAS) have identified more than 200 breast cancer risk-associated genetic loci, yet the causal genes and biological mechanisms for most loci remain elusive. Proteins, as final gene products, are pivotal in cellular function. In this study, we conducted a proteome-wide association study (PWAS) to identify proteins in breast tissue related to breast cancer risk.

METHODS: We profiled the proteome in fresh frozen breast tissue samples from 120 cancer-free European-ancestry women from the Susan G. Komen Tissue Bank (KTB). Protein expression levels were log2-transformed then normalized via quantile and inverse-rank transformations. GWAS data were also generated for …

Folate Metabolism And Risk Of Childhood Acute Lymphoblastic Leukemia: A Genetic Pathway Analysis From The Childhood Cancer And Leukemia International Consortium, Catherine Metayer, Logan G Spector, Michael E Scheurer, Soyoung Jeon, Rodney J Scott, Masatoshi Takagi, Jacqueline Clavel, Atsushi Manabe, Xiaomei Ma, Elleni M Hailu, Philip J Lupo, Kevin Y Urayama, Audrey Bonaventure, Motohiro Kato, Aline Meirhaeghe, Charleston W K Chiang, Libby M Morimoto, Joseph L Wiemels

Faculty, Staff and Students Publications

BACKGROUND: Prenatal folate supplementation has been consistently associated with a reduced risk of childhood acute lymphoblastic leukemia (ALL). Previous germline genetic studies examining the one carbon (folate) metabolism pathway were limited in sample size, scope, and population diversity and led to inconclusive results.

METHODS: We evaluated whether ∼2,900 single-nucleotide polymorphisms (SNP) within 46 candidate genes involved in the folate metabolism pathway influence the risk of childhood ALL, using genome-wide data from nine case-control studies in the Childhood Cancer and Leukemia International Consortium (n = 9,058 cases including 4,510 children of European ancestry, 3,018 Latinx, and 1,406 Asians, and 92,364 controls). …

Discovery Of Runs-Of-Homozygosity Diplotype Clusters And Their Associations With Diseases In Uk Biobank, Ardalan Naseri, Degui Zhi, Shaojie Zhang

Faculty, Staff and Student Publications

Runs-of-homozygosity (ROH) segments, contiguous homozygous regions in a genome were traditionally linked to families and inbred populations. However, a growing literature suggests that ROHs are ubiquitous in outbred populations. Still, most existing genetic studies of ROH in populations are limited to aggregated ROH content across the genome, which does not offer the resolution for mapping causal loci. This limitation is mainly due to a lack of methods for the efficient identification of shared ROH diplotypes. Here, we present a new method, ROH-DICE (runs-of-homozygous diplotype cluster enumerator), to find large ROH diplotype clusters, sufficiently long ROHs shared by a sufficient number …

Validation Of Human Telomere Length Multi-Ancestry Meta-Analysis Association Signals Identifies Pop5 And Kbtbd6 As Human Telomere Length Regulation Genes, Rebecca Keener, Surya B Chhetri, Carla J Connelly, Margaret A Taub, Matthew P Conomos, Joshua Weinstock, Bohan Ni, Benjamin Strober, Stella Aslibekyan, Paul L Auer, Lucas Barwick, Lewis C Becker, John Blangero, Eugene R Bleecker, Jennifer A Brody, Brian E Cade, Juan C Celedon, Yi-Cheng Chang, L Adrienne Cupples, Brian Custer, Barry I Freedman, Mark T Gladwin, Susan R Heckbert, Lifang Hou, Marguerite R Irvin, Carmen R Isasi, Jill M Johnsen, Eimear E Kenny, Charles Kooperberg, Ryan L Minster, Take Naseri, Satupa'itea Viali, Sergei Nekhai, Nathan Pankratz, Patricia A Peyser, Kent D Taylor, Marilyn J Telen, Baojun Wu, Lisa R Yanek, Ivana V Yang, Christine Albert, Donna K Arnett, Allison E Ashley-Koch, Kathleen C Barnes, Joshua C Bis, Thomas W Blackwell, Eric Boerwinkle, Esteban G Burchard, April P Carson, Zhanghua Chen, Yii-Der Ida Chen, Dawood Darbar, Mariza De Andrade, Patrick T Ellinor, Myriam Fornage, Bruce D Gelb, Frank D Gilliland, Jiang He, Talat Islam, Stefan Kaab, Sharon L R Kardia, Shannon Kelly, Barbara A Konkle, Rajesh Kumar, Ruth J F Loos, Fernando D Martinez, Stephen T Mcgarvey, Deborah A Meyers, Braxton D Mitchell, Courtney G Montgomery, Kari E North, Nicholette D Palmer, Juan M Peralta, Benjamin A Raby, Susan Redline, Stephen S Rich, Dan Roden, Jerome I Rotter, Ingo Ruczinski, David Schwartz, Frank Sciurba, M Benjamin Shoemaker, Edwin K Silverman, Moritz F Sinner, Nicholas L Smith, Albert V Smith, Hemant K Tiwari, Ramachandran S Vasan, Scott T Weiss, L Keoki Williams, Yingze Zhang, Elad Ziv, Laura M Raffield, Alexander P Reiner, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Hematology And Hemostasis Working Group, Topmed Structural Variation Working Group, Marios Arvanitis, Carol W Greider, Rasika A Mathias, Alexis Battle

Faculty, Staff and Student Publications

Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a multi-ancestry meta-analysis of 211,369 individuals and identified five novel association signals. Enrichment analyses of chromatin state and cell-type heritability suggested that blood/immune cells are the most relevant cell type to examine telomere length association signals. We validated specific GWAS associations by overexpressing KBTBD6 or POP5 and demonstrated that both lengthened telomeres. CRISPR/Cas9 deletion of the predicted causal regions in K562 blood cells reduced expression of …

Common Variation In A Long Non-Coding Rna Gene Modulates Variation Of Circulating Tgf-Β2 Levels In Metastatic Colorectal Cancer Patients (Alliance), Julia Quintanilha, Alexander Sibley, Yingmiao Liu, Donna Niedzwiecki, Susan Halabi, Layne Rogers, Bert O'Neil, Hedy Kindler, William Kelly, Alan Venook, Howard Mcleod, Mark Ratain, Andrew Nixon, Federico Innocenti, Kouros Owzar

Department of Medical Oncology Faculty Papers

BACKGROUND: Herein, we report results from a genome-wide study conducted to identify protein quantitative trait loci (pQTL) for circulating angiogenic and inflammatory protein markers in patients with metastatic colorectal cancer (mCRC). The study was conducted using genotype, protein marker, and baseline clinical and demographic data from CALGB/SWOG 80405 (Alliance), a randomized phase III study designed to assess outcomes of adding VEGF or EGFR inhibitors to systemic chemotherapy in mCRC patients. Germline DNA derived from blood was genotyped on whole-genome array platforms. The abundance of protein markers was quantified using a multiplex enzyme-linked immunosorbent assay from plasma derived from peripheral venous …

Phenome-Wide Identification Of Therapeutic Genetic Targets, Leveraging Knowledge Graphs, Graph Neural Networks, And Uk Biobank Data, Lawrence Middleton, Ioannis Melas, Chirag Vasavda, Arwa Raies, Benedek Rozemberczki, Ryan S Dhindsa, Justin S Dhindsa, Blake Weido, Quanli Wang, Andrew R Harper, Gavin Edwards, Slavé Petrovski, Dimitrios Vitsios

Faculty, Staff and Students Publications

The ongoing expansion of human genomic datasets propels therapeutic target identification; however, extracting gene-disease associations from gene annotations remains challenging. Here, we introduce Mantis-ML 2.0, a framework integrating AstraZeneca's Biological Insights Knowledge Graph and numerous tabular datasets, to assess gene-disease probabilities throughout the phenome. We use graph neural networks, capturing the graph's holistic structure, and train them on hundreds of balanced datasets via a robust semi-supervised learning framework to provide gene-disease probabilities across the human exome. Mantis-ML 2.0 incorporates natural language processing to automate disease-relevant feature selection for thousands of diseases. The enhanced models demonstrate a 6.9% average classification power …

Key Variants Via The Alzheimer's Disease Sequencing Project Whole Genome Sequence Data, Yanbing Wang, Chloé Sarnowski, Honghuang Lin, Achilleas N Pitsillides, Nancy L Heard-Costa, Seung Hoan Choi, Dongyu Wang, Joshua C Bis, Elizabeth E Blue, Eric Boerwinkle, Philip L De Jager, Myriam Fornage, Ellen M Wijsman, Sudha Seshadri, Josée Dupuis, Gina M Peloso, Anita L Destefano

Faculty, Staff and Student Publications

INTRODUCTION: Genome-wide association studies (GWAS) have identified loci associated with Alzheimer's disease (AD) but did not identify specific causal genes or variants within those loci. Analysis of whole genome sequence (WGS) data, which interrogates the entire genome and captures rare variations, may identify causal variants within GWAS loci.

METHODS: We performed single common variant association analysis and rare variant aggregate analyses in the pooled population (N cases = 2184, N controls = 2383) and targeted analyses in subpopulations using WGS data from the Alzheimer's Disease Sequencing Project (ADSP). The analyses were restricted to variants within 100 kb of 83 previously …

Igwas: Image-Based Genome-Wide Association Of Self-Supervised Deep Phenotyping Of Retina Fundus Images, Ziqian Xie, Tao Zhang, Sangbae Kim, Jiaxiong Lu, Wanheng Zhang, Cheng-Hui Lin, Man-Ru Wu, Alexander Davis, Roomasa Channa, Luca Giancardo, Han Chen, Sui Wang, Rui Chen, Degui Zhi

Faculty, Staff and Student Publications

Existing imaging genetics studies have been mostly limited in scope by using imaging-derived phenotypes defined by human experts. Here, leveraging new breakthroughs in self-supervised deep representation learning, we propose a new approach, image-based genome-wide association study (iGWAS), for identifying genetic factors associated with phenotypes discovered from medical images using contrastive learning. Using retinal fundus photos, our model extracts a 128-dimensional vector representing features of the retina as phenotypes. After training the model on 40,000 images from the EyePACS dataset, we generated phenotypes from 130,329 images of 65,629 British White participants in the UK Biobank. We conducted GWAS on these phenotypes …

Genome-Wide Association Analyses Identify 95 Risk Loci And Provide Insights Into The Neurobiology Of Post-Traumatic Stress Disorder, Caroline M Nievergelt, Adam X Maihofer, Elizabeth G Atkinson, Chia-Yen Chen, Karmel W Choi, Jonathan R I Coleman, Nikolaos P Daskalakis, Laramie E Duncan, Renato Polimanti, Cindy Aaronson, Ananda B Amstadter, Soren B Andersen, Ole A Andreassen, Paul A Arbisi, Allison E Ashley-Koch, S Bryn Austin, Esmina Avdibegoviç, Dragan Babić, Silviu-Alin Bacanu, Dewleen G Baker, Anthony Batzler, Jean C Beckham, Sintia Belangero, Corina Benjet, Carisa Bergner, Linda M Bierer, Joanna M Biernacka, Laura J Bierut, Jonathan I Bisson, Marco P Boks, Elizabeth A Bolger, Amber Brandolino, Gerome Breen, Rodrigo Affonseca Bressan, Richard A Bryant, Angela C Bustamante, Jonas Bybjerg-Grauholm, Marie Bækvad-Hansen, Anders D Børglum, Sigrid Børte, Leah Cahn, Joseph R Calabrese, Jose Miguel Caldas-De-Almeida, Chris Chatzinakos, Sheraz Cheema, Sean A P Clouston, Lucía Colodro-Conde, Brandon J Coombes, Carlos S Cruz-Fuentes, Anders M Dale, Shareefa Dalvie, Lea K Davis, Jürgen Deckert, Douglas L Delahanty, Michelle F Dennis, Frank Desarnaud, Christopher P Dipietro, Seth G Disner, Anna R Docherty, Katharina Domschke, Grete Dyb, Alma Džubur Kulenović, Howard J Edenberg, Alexandra Evans, Chiara Fabbri, Negar Fani, Lindsay A Farrer, Adriana Feder, Norah C Feeny, Janine D Flory, David Forbes, Carol E Franz, Sandro Galea, Melanie E Garrett, Bizu Gelaye, Joel Gelernter, Elbert Geuze, Charles F Gillespie, Slavina B Goleva, Scott D Gordon, Aferdita Goçi, Lana Ruvolo Grasser, Camila Guindalini, Magali Haas, Saskia Hagenaars, Michael A Hauser, Andrew C Heath, Sian M J Hemmings, Victor Hesselbrock, Ian B Hickie, Kelleigh Hogan, David Michael Hougaard, Hailiang Huang, Laura M Huckins, Kristian Hveem, Miro Jakovljević, Arash Javanbakht, Gregory D Jenkins, Jessica Johnson, Ian Jones, Tanja Jovanovic, Karen-Inge Karstoft, Milissa L Kaufman, James L Kennedy, Ronald C Kessler, Alaptagin Khan, Nathan A Kimbrel, Anthony P King, Nastassja Koen, Roman Kotov, Henry R Kranzler, Kristi Krebs, William S Kremen, Pei-Fen Kuan, Bruce R Lawford, Lauren A M Lebois, Kelli Lehto, Daniel F Levey, Catrin Lewis, Israel Liberzon, Sarah D Linnstaedt, Mark W Logue, Adriana Lori, Yi Lu, Benjamin J Luft, Michelle K Lupton, Jurjen J Luykx, Iouri Makotkine, Jessica L Maples-Keller, Shelby Marchese, Charles Marmar, Nicholas G Martin, Gabriela A Martínez-Levy, Kerrie Mcaloney, Alexander Mcfarlane, Katie A Mclaughlin, Samuel A Mclean, Sarah E Medland, Divya Mehta, Jacquelyn Meyers, Vasiliki Michopoulos, Elizabeth A Mikita, Lili Milani, William Milberg, Mark W Miller, Rajendra A Morey, Charles Phillip Morris, Ole Mors, Preben Bo Mortensen, Mary S Mufford, Elliot C Nelson, Merete Nordentoft, Sonya B Norman, Nicole R Nugent, Meaghan O'Donnell, Holly K Orcutt, Pedro M Pan, Matthew S Panizzon, Gita A Pathak, Edward S Peters, Alan L Peterson, Matthew Peverill, Robert H Pietrzak, Melissa A Polusny, Bernice Porjesz, Abigail Powers, Xue-Jun Qin, Andrew Ratanatharathorn, Victoria B Risbrough, Andrea L Roberts, Alex O Rothbaum, Barbara O Rothbaum, Peter Roy-Byrne, Kenneth J Ruggiero, Ariane Rung, Heiko Runz, Bart P F Rutten, Stacey Saenz De Viteri, Giovanni Abrahão Salum, Laura Sampson, Sixto E Sanchez, Marcos Santoro, Carina Seah, Soraya Seedat, Julia S Seng, Andrey Shabalin, Christina M Sheerin, Derrick Silove, Alicia K Smith, Jordan W Smoller, Scott R Sponheim, Dan J Stein, Synne Stensland, Jennifer S Stevens, Jennifer A Sumner, Martin H Teicher, Wesley K Thompson, Arun K Tiwari, Edward Trapido, Monica Uddin, Robert J Ursano, Unnur Valdimarsdóttir, Miranda Van Hooff, Eric Vermetten, Christiaan H Vinkers, Joanne Voisey, Yunpeng Wang, Zhewu Wang, Monika Waszczuk, Heike Weber, Frank R Wendt, Thomas Werge, Michelle A Williams, Douglas E Williamson, Bendik S Winsvold, Sherry Winternitz, Christiane Wolf, Erika J Wolf, Yan Xia, Ying Xiong, Rachel Yehuda, Keith A Young, Ross Mcd Young, Clement C Zai, Gwyneth C Zai, Mark Zervas, Hongyu Zhao, Lori A Zoellner, John-Anker Zwart, Terri Deroon-Cassini, Sanne J H Van Rooij, Leigh L Van Den Heuvel, Murray B Stein, Kerry J Ressler, Karestan C Koenen

Faculty, Staff and Students Publications

Post-traumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 new). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (for example, GRIA1, GRM8 and CACNA1E), developmental, axon guidance and transcription factors (for example, FOXP2, EFNA5 and DCC), …

A Phenome-Wide Association And Mendelian Randomisation Study Of Alcohol Use Variants In A Diverse Cohort Comprising Over 3 Million Individuals, Mariela V Jennings, José Jaime Martínez-Magaña, Natasia S Courchesne-Krak, Renata B Cupertino, Laura Vilar-Ribó, Sevim B Bianchi, Alexander S Hatoum, Elizabeth G Atkinson, Paola Giusti-Rodriguez, Janitza L Montalvo-Ortiz, Joel Gelernter, María Soler Artigas, Sarah L Elson, Howard J Edenberg, Pierre Fontanillas, Abraham A Palmer, Sandra Sanchez-Roige

Faculty, Staff and Students Publications

BACKGROUND: Alcohol consumption is associated with numerous negative social and health outcomes. These associations may be direct consequences of drinking, or they may reflect common genetic factors that influence both alcohol consumption and other outcomes.

METHODS: We performed exploratory phenome-wide association studies (PheWAS) of three of the best studied protective single nucleotide polymorphisms (SNPs) in genes encoding ethanol metabolising enzymes (ADH1B: rs1229984-T, rs2066702-A; ADH1C: rs698-T) using up to 1109 health outcomes across 28 phenotypic categories (e.g., substance-use, mental health, sleep, immune, cardiovascular, metabolic) from a diverse 23andMe cohort, including European (N ≤ 2,619,939), Latin American (N ≤ 446,646) and African …

Genome-Wide Analysis In Over 1 Million Individuals Of European Ancestry Yields Improved Polygenic Risk Scores For Blood Pressure Traits, Jacob M Keaton, Zoha Kamali, Tian Xie, Ahmad Vaez, Ariel Williams, Slavina B Goleva, Alireza Ani, Evangelos Evangelou, Jacklyn N Hellwege, Loic Yengo, William J Young, Matthew Traylor, Ayush Giri, Zhili Zheng, Jian Zeng, Daniel I Chasman, Andrew P Morris, Mark J Caulfield, Shih-Jen Hwang, Jaspal S Kooner, David Conen, John R Attia, Alanna C Morrison, Ruth J F Loos, Kati Kristiansson, Reinhold Schmidt, Andrew A Hicks, Peter P Pramstaller, Christopher P Nelson, Nilesh J Samani, Lorenz Risch, Ulf Gyllensten, Olle Melander, Harriette Riese, James F Wilson, Harry Campbell, Stephen S Rich, Bruce M Psaty, Yingchang Lu, Jerome I Rotter, Xiuqing Guo, Kenneth M Rice, Peter Vollenweider, Johan Sundström, Claudia Langenberg, Martin D Tobin, Vilmantas Giedraitis, Jian'an Luan, Jaakko Tuomilehto, Zoltan Kutalik, Samuli Ripatti, Veikko Salomaa, Giorgia Girotto, Stella Trompet, J Wouter Jukema, Pim Van Der Harst, Paul M Ridker, Franco Giulianini, Veronique Vitart, Anuj Goel, Hugh Watkins, Sarah E Harris, Ian J Deary, Peter J Van Der Most, Albertine J Oldehinkel, Bernard D Keavney, Caroline Hayward, Archie Campbell, Michael Boehnke, Laura J Scott, Thibaud Boutin, Chrysovalanto Mamasoula, Marjo-Riitta Järvelin, Annette Peters, Christian Gieger, Edward G Lakatta, Francesco Cucca, Jennie Hui, Paul Knekt, Stefan Enroth, Martin H De Borst, Ozren Polašek, Maria Pina Concas, Eulalia Catamo, Massimiliano Cocca, Ruifang Li-Gao, Edith Hofer, Helena Schmidt, Beatrice Spedicati, Melanie Waldenberger, David P Strachan, Maris Laan, Alexander Teumer, Marcus Dörr, Vilmundur Gudnason, James P Cook, Daniela Ruggiero, Ivana Kolcic, Eric Boerwinkle, Michela Traglia, Terho Lehtimäki, Olli T Raitakari, Andrew D Johnson, Christopher Newton-Cheh, Morris J Brown, Anna F Dominiczak, Peter J Sever, Neil Poulter, John C Chambers, Roberto Elosua, David Siscovick, Tõnu Esko, Andres Metspalu, Rona J Strawbridge, Markku Laakso, Anders Hamsten, Jouke-Jan Hottenga, Eco De Geus, Andrew D Morris, Colin N A Palmer, Ilja M Nolte, Yuri Milaneschi, Jonathan Marten, Alan Wright, Eleftheria Zeggini, Joanna M M Howson, Christopher J O'Donnell, Tim Spector, Mike A Nalls, Eleanor M Simonsick, Yongmei Liu, Cornelia M Van Duijn, Adam S Butterworth, John N Danesh, Cristina Menni, Nicholas J Wareham, Kay-Tee Khaw, Yan V Sun, Peter W F Wilson, Kelly Cho, Peter M Visscher, Joshua C Denny, Million Veteran Program, Lifelines Cohort Study, Charge Consortium, Icbp Consortium, Daniel Levy, Todd L Edwards, Patricia B Munroe, Harold Snieder, Helen R Warren

Faculty, Staff and Student Publications

Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 × 10-8) from the largest single-stage blood pressure (BP) genome-wide association study to date (n = 1,028,980 European individuals). These associations explain more than 60% of single nucleotide polymorphism-based BP heritability. Comparing top versus bottom deciles of polygenic risk scores (PRSs) reveals clinically meaningful differences in BP (16.9 mmHg systolic BP, 95% CI, 15.5-18.2 mmHg, P = 2.22 × 10-126) and more than a sevenfold higher odds of hypertension risk (odds ratio, 7.33; 95% CI, 5.54-9.70; P = 4.13 × 10-44) in an independent dataset. Adding PRS into hypertension-prediction models increased the area under the receiver operating characteristic curve (AUROC) from 0.791 (95% CI, 0.781-0.801) to 0.826 (95% CI, 0.817-0.836, ∆AUROC, 0.035, P = 1.98 × 10-34). We compare the 2,103 loci results in non-European ancestries and show significant PRS associations in a large African-American sample. Secondary analyses implicate 500 genes previously unreported for BP. Our study highlights the role of increasingly large genomic studies for precision health research.

An Approach To Identify Gene-Environment Interactions And Reveal New Biological Insight In Complex Traits, Xiaofeng Zhu, Yihe Yang, Noah Lorincz-Comi, Gen Li, Amy R Bentley, Paul S De Vries, Michael Brown, Alanna C Morrison, Charles N Rotimi, W James Gauderman, Dabeeru C Rao, Hugues Aschard

Faculty, Staff and Student Publications

There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions to date. to address this issue, the Gene-Lifestyle Interactions Working Group within the Cohorts for Heart and Aging Research in Genetic Epidemiology Consortium has been spearheading efforts to investigate G × E in large and diverse samples through meta-analysis. Here, we present a powerful new approach to screen for interactions across the genome, an approach that shares substantial similarity to the Mendelian randomization framework. We identify and confirm 5 loci …

Tissue-Specific Atlas Of Trans-Models For Gene Regulation Elucidates Complex Regulation Patterns, Robert Dagostino, Assaf Gottlieb

Faculty, Staff and Student Publications

BACKGROUND: Deciphering gene regulation is essential for understanding the underlying mechanisms of healthy and disease states. While the regulatory networks formed by transcription factors (TFs) and their target genes has been mostly studied with relation to cis effects such as in TF binding sites, we focused on trans effects of TFs on the expression of their transcribed genes and their potential mechanisms.

RESULTS: We provide a comprehensive tissue-specific atlas, spanning 49 tissues of TF variations affecting gene expression through computational models considering two potential mechanisms, including combinatorial regulation by the expression of the TFs, and by genetic variants within the …

Unsupervised Deep Representation Learning Enables Phenotype Discovery For Genetic Association Studies Of Brain Imaging, Khush Patel, Ziqian Xie, Hao Yuan, Sheikh Muhammad Saiful Islam, Yaochen Xie, Wei He, Wanheng Zhang, Assaf Gottlieb, Han Chen, Luca Giancardo, Alexander Knaack, Evan Fletcher, Myriam Fornage, Shuiwang Ji, Degui Zhi

Faculty, Staff and Student Publications

Understanding the genetic architecture of brain structure is challenging, partly due to difficulties in designing robust, non-biased descriptors of brain morphology. Until recently, brain measures for genome-wide association studies (GWAS) consisted of traditionally expert-defined or software-derived image-derived phenotypes (IDPs) that are often based on theoretical preconceptions or computed from limited amounts of data. Here, we present an approach to derive brain imaging phenotypes using unsupervised deep representation learning. We train a 3-D convolutional autoencoder model with reconstruction loss on 6130 UK Biobank (UKBB) participants' T1 or T2-FLAIR (T2) brain MRIs to create a 128-dimensional representation known as Unsupervised Deep learning …

A Multitrait Genetic Study Of Hemostatic Factors And Hemorrhagic Transformation After Stroke Treatment, Cristina Gallego-Fabrega, Gerard Temprano-Sagrera, Jara Cárcel-Márquez, Elena Muiño, Natalia Cullell, Miquel Lledós, Laia Llucià-Carol, Jesús M Martin-Campos, Tomás Sobrino, José Castillo, Mònica Millán, Lucía Muñoz-Narbona, Elena López-Cancio, Marc Ribó, Jose Alvarez-Sabin, Jordi Jiménez-Conde, Jaume Roquer, Silvia Tur, Victor Obach, Juan F Arenillas, Tomas Segura, Gemma Serrano-Heras, Joan Marti-Fabregas, Marimar Freijo-Guerrero, Francisco Moniche, Maria Del Mar Castellanos, Alanna C Morrison, Nicholas L Smith, Paul S De Vries, Israel Fernández-Cadenas, Maria Sabater-Lleal

Faculty, Staff and Student Publications

BACKGROUND: Thrombolytic recombinant tissue plasminogen activator (r-tPA) treatment is the only pharmacologic intervention available in the ischemic stroke acute phase. This treatment is associated with an increased risk of intracerebral hemorrhages, known as hemorrhagic transformations (HTs), which worsen the patient's prognosis.

OBJECTIVES: to investigate the association between genetically determined natural hemostatic factors' levels and increased risk of HT after r-tPA treatment.

METHODS: Using data from genome-wide association studies on the risk of HT after r-tPA treatment and data on 7 hemostatic factors (factor [F]VII, FVIII, von Willebrand factor [VWF], FXI, fibrinogen, plasminogen activator inhibitor-1, and tissue plasminogen activator), we performed …

Genetic Drivers Of Heterogeneity In Type 2 Diabetes Pathophysiology, Ken Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, Henry J Taylor, Xianyong Yin, Kim M Lorenz, Ravi Mandla, Alicia Huerta-Chagoya, Giorgio E M Melloni, Stavroula Kanoni, Nigel W Rayner, Ozvan Bocher, Ana Luiza Arruda, Kyuto Sonehara, Shinichi Namba, Simon S K Lee, Michael H Preuss, Lauren E Petty, Philip Schroeder, Brett Vanderwerff, Mart Kals, Fiona Bragg, Kuang Lin, Xiuqing Guo, Weihua Zhang, Jie Yao, Young Jin Kim, Mariaelisa Graff, Fumihiko Takeuchi, Jana Nano, Amel Lamri, Masahiro Nakatochi, Sanghoon Moon, Robert A Scott, James P Cook, Jung-Jin Lee, Ian Pan, Daniel Taliun, Esteban J Parra, Jin-Fang Chai, Lawrence F Bielak, Yasuharu Tabara, Yang Hai, Gudmar Thorleifsson, Niels Grarup, Tamar Sofer, Matthias Wuttke, Chloé Sarnowski, Christian Gieger, Darryl Nousome, Stella Trompet, Soo-Heon Kwak, Jirong Long, Meng Sun, Lin Tong, Wei-Min Chen, Suraj S Nongmaithem, Raymond Noordam, Victor J Y Lim, Claudia H T Tam, Yoonjung Yoonie Joo, Chien-Hsiun Chen, Laura M Raffield, Bram Peter Prins, Aude Nicolas, Lisa R Yanek, Guanjie Chen, Jennifer A Brody, Edmond Kabagambe, Ping An, Anny H Xiang, Hyeok Sun Choi, Brian E Cade, Jingyi Tan, K Alaine Broadaway, Alice Williamson, Zoha Kamali, Jinrui Cui, Manonanthini Thangam, Linda S Adair, Adebowale Adeyemo, Carlos A Aguilar-Salinas, Tarunveer S Ahluwalia, Sonia S Anand, Alain Bertoni, Jette Bork-Jensen, Ivan Brandslund, Thomas A Buchanan, Charles F Burant, Adam S Butterworth, Mickaël Canouil, Juliana C N Chan, Li-Ching Chang, Miao-Li Chee, Ji Chen, Shyh-Huei Chen, Yuan-Tsong Chen, Zhengming Chen, Lee-Ming Chuang, Mary Cushman, John Danesh, Swapan K Das, H Janaka De Silva, George Dedoussis, Latchezar Dimitrov, Ayo P Doumatey, Shufa Du, Qing Duan, Kai-Uwe Eckardt, Leslie S Emery, Daniel S Evans, Michele K Evans, Krista Fischer, James S Floyd, Ian Ford, Oscar H Franco, Timothy M Frayling, Barry I Freedman, Pauline Genter, Hertzel C Gerstein, Vilmantas Giedraitis, Clicerio González-Villalpando, Maria Elena González-Villalpando, Penny Gordon-Larsen, Myron Gross, Lindsay A Guare, Sophie Hackinger, Liisa Hakaste, Sohee Han, Andrew T Hattersley, Christian Herder, Momoko Horikoshi, Annie-Green Howard, Willa Hsueh, Mengna Huang, Wei Huang, Yi-Jen Hung, Mi Yeong Hwang, Chii-Min Hwu, Sahoko Ichihara, Mohammad Arfan Ikram, Martin Ingelsson, Md Tariqul Islam, Masato Isono, Hye-Mi Jang, Farzana Jasmine, Guozhi Jiang, Jost B Jonas, Torben Jørgensen, Frederick K Kamanu, Fouad R Kandeel, Anuradhani Kasturiratne, Tomohiro Katsuya, Varinderpal Kaur, Takahisa Kawaguchi, Jacob M Keaton, Abel N Kho, Chiea-Chuen Khor, Muhammad G Kibriya, Duk-Hwan Kim, Florian Kronenberg, Johanna Kuusisto, Kristi Läll, Leslie A Lange, Kyung Min Lee, Myung-Shik Lee, Nanette R Lee, Aaron Leong, Liming Li, Yun Li, Ruifang Li-Gao, Symen Ligthart, Cecilia M Lindgren, Allan Linneberg, Ching-Ti Liu, Jianjun Liu, Adam E Locke, Tin Louie, Jian'an Luan, Andrea O Luk, Xi Luo, Jun Lv, Julie A Lynch, Valeriya Lyssenko, Shiro Maeda, Vasiliki Mamakou, Sohail Rafik Mansuri, Koichi Matsuda, Thomas Meitinger, Olle Melander, Andres Metspalu, Huan Mo, Andrew D Morris, Filipe A Moura, Jerry L Nadler, Michael A Nalls, Uma Nayak, Ioanna Ntalla, Yukinori Okada, Lorena Orozco, Sanjay R Patel, Snehal Patil, Pei Pei, Mark A Pereira, Annette Peters, Fraser J Pirie, Hannah G Polikowsky, Bianca Porneala, Gauri Prasad, Laura J Rasmussen-Torvik, Alexander P Reiner, Michael Roden, Rebecca Rohde, Katheryn Roll, Charumathi Sabanayagam, Kevin Sandow, Alagu Sankareswaran, Naveed Sattar, Sebastian Schönherr, Mohammad Shahriar, Botong Shen, Jinxiu Shi, Dong Mun Shin, Nobuhiro Shojima, Jennifer A Smith, Wing Yee So, Alena Stančáková, Valgerdur Steinthorsdottir, Adrienne M Stilp, Konstantin Strauch, Kent D Taylor, Barbara Thorand, Unnur Thorsteinsdottir, Brian Tomlinson, Tam C Tran, Fuu-Jen Tsai, Jaakko Tuomilehto, Teresa Tusie-Luna, Miriam S Udler, Adan Valladares-Salgado, Rob M Van Dam, Jan B Van Klinken, Rohit Varma, Niels Wacher-Rodarte, Eleanor Wheeler, Ananda R Wickremasinghe, Ko Willems Van Dijk, Daniel R Witte, Chittaranjan S Yajnik, Ken Yamamoto, Kenichi Yamamoto, Kyungheon Yoon, Canqing Yu, Jian-Min Yuan, Salim Yusuf, Matthew Zawistowski, Liang Zhang, Wei Zheng, Leslie J Raffel, Michiya Igase, Eli Ipp, Susan Redline, Yoon Shin Cho, Lars Lind, Michael A Province, Myriam Fornage, Craig L Hanis, Erik Ingelsson, Alan B Zonderman, Bruce M Psaty, Ya-Xing Wang, Charles N Rotimi, Diane M Becker, Fumihiko Matsuda, Yongmei Liu, Mitsuhiro Yokota, Sharon L R Kardia, Patricia A Peyser, James S Pankow, James C Engert, Amélie Bonnefond, Philippe Froguel, James G Wilson, Wayne H H Sheu, Jer-Yuarn Wu, M Geoffrey Hayes, Ronald C W Ma, Tien-Yin Wong, Dennis O Mook-Kanamori, Tiinamaija Tuomi, Giriraj R Chandak, Francis S Collins, Dwaipayan Bharadwaj, Guillaume Paré, Michèle M Sale, Habibul Ahsan, Ayesha A Motala, Xiao-Ou Shu, Kyong-Soo Park, J Wouter Jukema, Miguel Cruz, Yii-Der Ida Chen, Stephen S Rich, Roberta Mckean-Cowdin, Harald Grallert, Ching-Yu Cheng, Mohsen Ghanbari, E-Shyong Tai, Josee Dupuis, Norihiro Kato, Markku Laakso, Anna Köttgen, Woon-Puay Koh, Donald W Bowden, Colin N A Palmer, Jaspal S Kooner, Charles Kooperberg, Simin Liu, Kari E North, Danish Saleheen, Torben Hansen, Oluf Pedersen, Nicholas J Wareham, Juyoung Lee, Bong-Jo Kim, Iona Y Millwood, Robin G Walters, Kari Stefansson, Emma Ahlqvist, Mark O Goodarzi, Karen L Mohlke, Claudia Langenberg, Christopher A Haiman, Ruth J F Loos, Jose C Florez, Daniel J Rader, Marylyn D Ritchie, Sebastian Zöllner, Reedik Mägi, Nicholas A Marston, Christian T Ruff, David A Van Heel, Sarah Finer, Joshua C Denny, Toshimasa Yamauchi, Takashi Kadowaki, John C Chambers, Maggie C Y Ng, Xueling Sim, Jennifer E Below, Philip S Tsao, Kyong-Mi Chang, Mark I Mccarthy, James B Meigs, Anubha Mahajan, Cassandra N Spracklen, Josep M Mercader, Michael Boehnke, Jerome I Rotter, Marijana Vujkovic, Benjamin F Voight, Andrew P Morris, Eleftheria Zeggini

Faculty, Staff and Student Publications

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

Genome-Wide Study Investigating Effector Genes And Polygenic Prediction For Kidney Function In Persons With Ancestry From Africa And The Americas, Odessica Hughes, Amy R Bentley, Charles E Breeze, Francois Aguet, Xiaoguang Xu, Girish Nadkarni, Quan Sun, Bridget M Lin, Thomas Gilliland, Mariah C Meyer, Jiawen Du, Laura M Raffield, Holly Kramer, Robert W Morton, Mateus H Gouveia, Elizabeth G Atkinson, Adan Valladares-Salgado, Niels Wacher-Rodarte, Nicole D Dueker, Xiuqing Guo, Yang Hai, Adebowale Adeyemo, Lyle G Best, Jianwen Cai, Guanjie Chen, Michael Chong, Ayo Doumatey, James Eales, Mark O Goodarzi, Eli Ipp, Marguerite Ryan Irvin, Minzhi Jiang, Alana C Jones, Charles Kooperberg, Jose E Krieger, Ethan M Lange, Matthew B Lanktree, James P Lash, Paulo A Lotufo, Ruth J F Loos, Vy Thi Ha My, Jesús Peralta-Romero, Lihong Qi, Leslie J Raffel, Stephen S Rich, Erik J Rodriquez, Eduardo Tarazona-Santos, Kent D Taylor, Jason G Umans, Jia Wen, Bessie A Young, Zhi Yu, Ying Zhang, Yii-Der Ida Chen, Tanja Rundek, Jerome I Rotter, Miguel Cruz, Myriam Fornage, Maria Fernanda Lima-Costa, Alexandre C Pereira, Guillaume Paré, Pradeep Natarajan, Shelley A Cole, April P Carson, Leslie A Lange, Yun Li, Eliseo J Perez-Stable, Ron Do, Fadi J Charchar, Maciej Tomaszewski, Josyf C Mychaleckyj, Charles Rotimi, Andrew P Morris, Nora Franceschini

Faculty, Staff and Students Publications

Chronic kidney disease is a leading cause of death and disability globally and impacts individuals of African ancestry (AFR) or with ancestry in the Americas (AMS) who are under-represented in genome-wide association studies (GWASs) of kidney function. To address this bias, we conducted a large meta-analysis of GWASs of estimated glomerular filtration rate (eGFR) in 145,732 AFR and AMS individuals. We identified 41 loci at genome-wide significance (p < 5 × 10−8), of which two have not been previously reported in any ancestry group. We integrated fine-mapped loci with epigenomic and transcriptomic resources to highlight potential effector genes relevant to kidney physiology and disease, and reveal key regulatory elements and pathways involved in renal function and development. We demonstrate the varying but increased predictive power offered by a multi-ancestry polygenic score for eGFR and highlight the importance of population diversity in GWASs and multi-omics resources to enhance opportunities for clinical translation for all.

Nicotinic Acetylcholine Receptor Signaling Maintains Epithelial Barrier Integrity, Nadja S Katheder, Kristen C Browder, Diana Chang, Ann De Maziere, Pekka Kujala, Suzanne Van Dijk, Judith Klumperman, Tzu-Chiao Lu, Hongjie Li, Zijuan Lai, Dewakar Sangaraju, Heinrich Jasper

Faculty, Staff and Students Publications

Disruption of epithelial barriers is a common disease manifestation in chronic degenerative diseases of the airways, lung, and intestine. Extensive human genetic studies have identified risk loci in such diseases, including in chronic obstructive pulmonary disease (COPD) and inflammatory bowel diseases. The genes associated with these loci have not fully been determined, and functional characterization of such genes requires extensive studies in model organisms. Here, we report the results of a screen in

Rab1a Haploinsufficiency Phenocopies The 2p14-P15 Microdeletion And Is Associated With Impaired Neuronal Differentiation, Jonathan J Rios, Yang Li, Nandina Paria, Ryan J Bohlender, Chad Huff, Jill A Rosenfeld, Pengfei Liu, Weimin Bi, Kentaro Haga, Mitsunori Fukuda, Shayal Vashisth, Kiran Kaur, Maria H Chahrour, Michael B Bober, Angela L Duker, Farah A Ladha, Neil A Hanchard, Kristhen Atala, Anas M Khanshour, Linsley Smith, Carol A Wise, Mauricio R Delgado

Faculty, Staff and Student Publications

Hereditary spastic parapareses (HSPs) are clinically heterogeneous motor neuron diseases with variable age of onset and severity. Although variants in dozens of genes are implicated in HSPs, much of the genetic basis for pediatric-onset HSP remains unexplained. Here, we re-analyzed clinical exome-sequencing data from siblings with HSP of unknown genetic etiology and identified an inherited nonsense mutation (c.523C>T [p.Arg175Ter]) in the highly conserved RAB1A. The mutation is predicted to produce a truncated protein with an intact RAB GTPase domain but without two C-terminal cysteine residues required for proper subcellular protein localization. Additional RAB1A mutations, including two frameshift mutations and …

Multi-Ancestry Genome-Wide Association Study Of Cannabis Use Disorder Yields Insight Into Disease Biology And Public Health Implications, Daniel F Levey, Marco Galimberti, Joseph D Deak, Frank R Wendt, Arjun Bhattacharya, Dora Koller, Kelly M Harrington, Rachel Quaden, Emma C Johnson, Priya Gupta, Mahantesh Biradar, Max Lam, Megan Cooke, Veera M Rajagopal, Stefany L L Empke, Hang Zhou, Yaira Z Nunez, Henry R Kranzler, Howard J Edenberg, Arpana Agrawal, Jordan W Smoller, Todd Lencz, David M Hougaard, Anders D Børglum, Ditte Demontis, Veterans Affairs Million Veteran Program, J Michael Gaziano, Michael J Gandal, Renato Polimanti, Murray B Stein, Joel Gelernter

Faculty, Staff and Student Publications

As recreational use of cannabis is being decriminalized in many places and medical use widely sanctioned, there are growing concerns about increases in cannabis use disorder (CanUD), which is associated with numerous medical comorbidities. Here we performed a genome-wide association study of CanUD in the Million Veteran Program (MVP), followed by meta-analysis in 1,054,365 individuals (ncases = 64,314) from four broad ancestries designated by the reference panel used for assignment (European n = 886,025, African n = 123,208, admixed American n = 38,289 and East Asian n = 6,843). Population-specific methods were applied to calculate single nucleotide polymorphism-based heritability within …

Single-Cell Multiomics Of The Human Retina Reveals Hierarchical Transcription Factor Collaboration In Mediating Cell Type-Specific Effects Of Genetic Variants On Gene Regulation, Jun Wang, Xuesen Cheng, Qingnan Liang, Leah A Owen, Jiaxiong Lu, Yiqiao Zheng, Meng Wang, Shiming Chen, Margaret M Deangelis, Yumei Li, Rui Chen

Faculty, Staff and Students Publications

BACKGROUND: Systematic characterization of how genetic variation modulates gene regulation in a cell type-specific context is essential for understanding complex traits. To address this question, we profile gene expression and chromatin accessibility in cells from healthy retinae of 20 human donors through single-cell multiomics and genomic sequencing.

RESULTS: We map eQTL, caQTL, allelic-specific expression, and allelic-specific chromatin accessibility in major retinal cell types. By integrating these results, we identify and characterize regulatory elements and genetic variants effective on gene regulation in individual cell types. The majority of identified sc-eQTLs and sc-caQTLs display cell type-specific effects, while the cis-elements containing genetic …

Mosaic Chromosomal Alterations In Blood Across Ancestries Using Whole-Genome Sequencing, Yasminka A Jakubek, Ying Zhou, Adrienne Stilp, Jason Bacon, Justin W Wong, Zuhal Ozcan, Donna Arnett, Kathleen Barnes, Joshua C Bis, Eric Boerwinkle, Jennifer A Brody, April P Carson, Daniel I Chasman, Jiawen Chen, Michael Cho, Matthew P Conomos, Nancy Cox, Margaret F Doyle, Myriam Fornage, Xiuqing Guo, Sharon L R Kardia, Joshua P Lewis, Ruth J F Loos, Xiaolong Ma, Mitchell J Machiela, Taralynn M Mack, Rasika A Mathias, Braxton D Mitchell, Josyf C Mychaleckyj, Kari North, Nathan Pankratz, Patricia A Peyser, Michael H Preuss, Bruce Psaty, Laura M Raffield, Ramachandran S Vasan, Susan Redline, Stephen S Rich, Jerome I Rotter, Edwin K Silverman, Jennifer A Smith, Aaron P Smith, Margaret Taub, Kent D Taylor, Jeong Yun, Yun Li, Pinkal Desai, Alexander G Bick, Alexander P Reiner, Paul Scheet, Paul L Auer

Faculty, Staff and Student Publications

Megabase-scale mosaic chromosomal alterations (mCAs) in blood are prognostic markers for a host of human diseases. Here, to gain a better understanding of mCA rates in genetically diverse populations, we analyzed whole-genome sequencing data from 67,390 individuals from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program. We observed higher sensitivity with whole-genome sequencing data, compared with array-based data, in uncovering mCAs at low mutant cell fractions and found that individuals of European ancestry have the highest rates of autosomal mCAs and the lowest rates of chromosome X mCAs, compared with individuals of African or Hispanic ancestry. …

Multi-Tissue Epigenetic Analysis Identifies Distinct Associations Underlying Insulin Resistance And Alzheimer's Disease At Cpt1a Locus, Chloé Sarnowski, Tianxiao Huan, Yiyi Ma, Roby Joehanes, Alexa Beiser, Charles S Decarli, Nancy L Heard-Costa, Daniel Levy, Honghuang Lin, Ching-Ti Liu, Chunyu Liu, James B Meigs, Claudia L Satizabal, Jose C Florez, Marie-France Hivert, Josée Dupuis, Philip L De Jager, David A Bennett, Sudha Seshadri, Alanna C Morrison

Faculty, Staff and Student Publications

BACKGROUND: Insulin resistance (IR) is a major risk factor for Alzheimer's disease (AD) dementia. The mechanisms by which IR predisposes to AD are not well-understood. Epigenetic studies may help identify molecular signatures of IR associated with AD, thus improving our understanding of the biological and regulatory mechanisms linking IR and AD.

METHODS: We conducted an epigenome-wide association study of IR, quantified using the homeostatic model assessment of IR (HOMA-IR) and adjusted for body mass index, in 3,167 participants from the Framingham Heart Study (FHS) without type 2 diabetes at the time of blood draw used for methylation measurement. We identified …

Multi-Ancestry Genome-Wide Study Identifies Effector Genes And Druggable Pathways For Coronary Artery Calcification, Maryam Kavousi, Maxime M Bos, Hanna J Barnes, Christian L Lino Cardenas, Doris Wong, Haojie Lu, Chani J Hodonsky, Lennart P L Landsmeer, Adam W Turner, Minjung Kho, Natalie R Hasbani, Paul S De Vries, Donald W Bowden, Sandesh Chopade, Joris Deelen, Ernest Diez Benavente, Xiuqing Guo, Edith Hofer, Shih-Jen Hwang, Sharon M Lutz, Leo-Pekka Lyytikäinen, Lotte Slenders, Albert V Smith, Maggie A Stanislawski, Jessica Van Setten, Quenna Wong, Lisa R Yanek, Diane M Becker, Marian Beekman, Matthew J Budoff, Mary F Feitosa, Chris Finan, Austin T Hilliard, Sharon L R Kardia, Jason C Kovacic, Brian G Kral, Carl D Langefeld, Lenore J Launer, Shaista Malik, Firdaus A A Mohamed Hoesein, Michal Mokry, Reinhold Schmidt, Jennifer A Smith, Kent D Taylor, James G Terry, Jeroen Van Der Grond, Joyce Van Meurs, Rozemarijn Vliegenthart, Jianzhao Xu, Kendra A Young, Nuno R Zilhão, Robert Zweiker, Themistocles L Assimes, Lewis C Becker, Daniel Bos, J Jeffrey Carr, L Adrienne Cupples, Dominique P V De Kleijn, Menno De Winther, Hester M Den Ruijter, Myriam Fornage, Barry I Freedman, Vilmundur Gudnason, Aroon D Hingorani, John E Hokanson, M Arfan Ikram, Ivana Išgum, David R Jacobs, Mika Kähönen, Leslie A Lange, Terho Lehtimäki, Gerard Pasterkamp, Olli T Raitakari, Helena Schmidt, P Eline Slagboom, André G Uitterlinden, Meike W Vernooij, Joshua C Bis, Nora Franceschini, Bruce M Psaty, Wendy S Post, Jerome I Rotter, Johan L M Björkegren, Christopher J O'Donnell, Lawrence F Bielak, Patricia A Peyser, Rajeev Malhotra, Sander W Van Der Laan, Clint L Miller

Faculty, Staff and Student Publications

Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population. Here we conducted the largest multi-ancestry GWAS meta-analysis of CAC to date, which comprised 26,909 individuals of European ancestry and 8,867 individuals of African ancestry. We identified 11 independent risk loci, of which eight were new for CAC and five had not been reported for CAD. These new CAC loci …

Evolutionary Action-Machine Learning Model Identifies Candidate Genes Associated With Early-Onset Coronary Artery Disease, Dillon Shapiro, Kwanghyuk Lee, Jennifer Asmussen, Thomas Bourquard, Olivier Lichtarge

Faculty, Staff and Students Publications

Background Coronary artery disease is a primary cause of death around the world, with both genetic and environmental risk factors. Although genome-wide association studies have linked >100 unique loci to its genetic basis, these only explain a fraction of disease heritability. Methods and Results To find additional gene drivers of coronary artery disease, we applied machine learning to quantitative evolutionary information on the impact of coding variants in whole exomes from the Myocardial Infarction Genetics Consortium. Using ensemble-based supervised learning, the Evolutionary Action-Machine Learning framework ranked each gene's ability to classify case and control samples and identified 79 significant associations. …

Multivariate Genetic Analysis Of Personality And Cognitive Traits Reveals Abundant Pleiotropy, Guy Hindley, Alexey A Shadrin, Dennis Van Der Meer, Nadine Parker, Weiqiu Cheng, Kevin S O'Connell, Shahram Bahrami, Aihua Lin, Naz Karadag, Børge Holen, Thomas Bjella, Ian J Deary, Gail Davies, W David Hill, Jan Bressler, Sudha Seshadri, Chun Chieh Fan, Torill Ueland, Srdjan Djurovic, Olav B Smeland, Oleksandr Frei, Anders M Dale, Ole A Andreassen

Faculty, Staff and Student Publications

Personality and cognitive function are heritable mental traits whose genetic foundations may be distributed across interconnected brain functions. Previous studies have typically treated these complex mental traits as distinct constructs. We applied the 'pleiotropy-informed' multivariate omnibus statistical test to genome-wide association studies of 35 measures of neuroticism and cognitive function from the UK Biobank (n = 336,993). We identified 431 significantly associated genetic loci with evidence of abundant shared genetic associations, across personality and cognitive function domains. Functional characterization implicated genes with significant tissue-specific expression in all tested brain tissues and brain-specific gene sets. We conditioned independent genome-wide association studies …

Ancestral Diversity In Lipoprotein(A) Studies Helps Address Evidence Gaps, Moa P Lee, Sofia F Dimos, Laura M Raffield, Zhe Wang, Anna F Ballou, Carolina G Downie, Christopher H Arehart, Adolfo Correa, Paul S De Vries, Zhaohui Du, Christopher R Gignoux, Penny Gordon-Larsen, Xiuqing Guo, Jeffrey Haessler, Annie Green Howard, Yao Hu, Helina Kassahun, Shia T Kent, J Antonio G Lopez, Keri L Monda, Kari E North, Ulrike Peters, Michael H Preuss, Stephen S Rich, Shannon L Rhodes, Jie Yao, Rina Yarosh, Michael Y Tsai, Jerome I Rotter, Charles L Kooperberg, Ruth J F Loos, Christie Ballantyne, Christy L Avery, Mariaelisa Graff

Faculty, Staff and Student Publications

INTRODUCTION: The independent and causal cardiovascular disease risk factor lipoprotein(a) (Lp(a)) is elevated in >1.5 billion individuals worldwide, but studies have prioritised European populations.

METHODS: Here, we examined how ancestrally diverse studies could clarify Lp(a)'s genetic architecture, inform efforts examining application of Lp(a) polygenic risk scores (PRS), enable causal inference and identify unexpected Lp(a) phenotypic effects using data from African (n=25 208), East Asian (n=2895), European (n=362 558), South Asian (n=8192) and Hispanic/Latino (n=8946) populations.

RESULTS: Fourteen genome-wide significant loci with numerous population specific signals of large effect were identified that enabled construction of Lp(a) PRS of moderate (R

CONCLUSIONS: …