Genetics and Genomics Commons^™

Mitochondrial Trna-Derived Fragments As Candidate Metastasis-Modifying Rna, Katy L. Swancutt, R. Mckinnon Walsh, Sydney Quijano, Emily Schueddig, Devin C. Koestler, Adam D. Scheid, Tony Vanden Bush, Yi Jing, Isidore Rigoutsos, Danny R. Welch

Computational Medicine Center Faculty Papers

UNLABELLED: How mitochondrial DNA (mtDNA) polymorphisms influence complex phenotypes remains poorly understood. Using mitochondrial-nuclear exchange mice, we previously showed that mtDNA single-nucleotide polymorphisms (SNP) modify metastasis, cardiovascular disease, and epigenetic marks independently of metabolic differences. The only mtDNA SNP correlating with these phenotypes resides in the gene encoding mitochondrial transfer RNA (tRNA)-arginine [mt-tRNAArg (UCG), mt-TR], suggesting a role for non-protein-coding loci. In this study, we identify and preliminarily characterize previously undescribed tRNA-derived fragments (tRF) generated from mt-TRs. Northern blotting revealed distinct tRF that are differentially expressed among mtDNA SNPs, between lung and liver, and between sexes. Surprisingly, small RNA sequencing …

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 …

The Evaluation Of Variants Within Eight Collagen Genes Col1a1, Col1a2, Col3a1, Col5a1, Col11a1, Col15a1, Col22a1, And Col27a1 And A Risk Of Non-Contact Knee Ligament Rupture In Elite Handball Players: A Case-Control Study, Katarzyna Krawczak-Wójcik, Andrzej Mastalerz, Aleksandra Bojarczuk, Monika Johne, Alison V. September, Aleksandra Garbacz, Katarzyna Komar, Ewelina Maculewicz

Baltic Journal of Health and Physical Activity

Introduction: Knee ligament ruptures are common injuries among athletes. While most previous studies examined single collagen gene polymorphisms, few have investigated haplotype-level associations across multiple genes, particularly in elite handball players. Materials and methods: This case-control study analyzed variants in eight collagen genes (COL1A1, COL1A2, COL3A1, COL5A1, COL11A1, COL15A1, COL22A1, and COL27A1) in 103 elite Polish handball players with non-contact knee ligament rupture and 226 matched controls. Results: The COL22A1 rs11784270 CC genotype was associated with an increased risk (OR = 2.88, p = 0.01), with the strongest effect in the …

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 …

Meta-Ea: A Gene-Specific Combination Of Available Computational Tools For Predicting Missense Variant Effects, Panagiotis Katsonis, Olivier Lichtarge

Faculty, Staff and Students Publications

Computational methods for estimating missense variant impact suffer from inconsistent performance across genes, which poses a major challenge for their reliable use in clinical practice. While ensemble scores leverage multiple prediction methods to enhance consistency, the overrepresentation of certain genes in the training data can bias their outcomes. To address this critical limitation, we propose a gene-specific ensemble framework trained on reference computational annotations rather than on clinical or experimental data. Accordingly, we generate Meta-EA ensemble scores that achieve comparable performance to the top individual predicting method for each gene set. Incorporating the effects of splicing and the allele frequency …

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 …

High-Coverage Nanopore Sequencing Of Samples From The 1000 Genomes Project To Build A Comprehensive Catalog Of Human Genetic Variation, Jonas A Gustafson, Sophia B Gibson, Nikhita Damaraju, Miranda P G Zalusky, Kendra Hoekzema, David Twesigomwe, Lei Yang, Anthony A Snead, Phillip A Richmond, Wouter De Coster, Nathan D Olson, Andrea Guarracino, Qiuhui Li, Angela L Miller, Joy Goffena, Zachary B Anderson, Sophie H R Storz, Sydney A Ward, Maisha Sinha, Claudia Gonzaga-Jauregui, Wayne E Clarke, Anna O Basile, André Corvelo, Catherine Reeves, Adrienne Helland, Rajeeva Lochan Musunuri, Mahler Revsine, Karynne E Patterson, Cate R Paschal, Christina Zakarian, Sara Goodwin, Tanner D Jensen, Esther Robb, 1000 Genomes Ont Sequencing Consortium, University Of Washington Center For Rare Disease Research (Uw-Crdr), Genomics Research To Elucidate The Genetics Of Rare Diseases (Gregor) Consortium, William Richard Mccombie, Fritz J Sedlazeck, Justin M Zook, Stephen B Montgomery, Erik Garrison, Mikhail Kolmogorov, Michael C Schatz, Richard N Mclaughlin, Harriet Dashnow, Michael C Zody, Matt Loose, Miten Jain, Evan E Eichler, Danny E Miller

Faculty, Staff and Students Publications

Fewer than half of individuals with a suspected Mendelian or monogenic condition receive a precise molecular diagnosis after comprehensive clinical genetic testing. Improvements in data quality and costs have heightened interest in using long-read sequencing (LRS) to streamline clinical genomic testing, but the absence of control data sets for variant filtering and prioritization has made tertiary analysis of LRS data challenging. To address this, the 1000 Genomes Project (1KGP) Oxford Nanopore Technologies Sequencing Consortium aims to generate LRS data from at least 800 of the 1KGP samples. Our goal is to use LRS to identify a broader spectrum of variation …

Identification Of Allele-Specific Kiv-2 Repeats And Impact On Lp(A) Measurements For Cardiovascular Disease Risk, Sairam Behera, Jonathan R Belyeu, Xiao Chen, Luis F Paulin, Ngoc Quynh H Nguyen, Emma Newman, Medhat Mahmoud, Vipin K Menon, Qibin Qi, Parag Joshi, Santica Marcovina, Massimiliano Rossi, Eric Roller, James Han, Vitor Onuchic, Christy L Avery, Christie M Ballantyne, Carlos J Rodriguez, Robert C Kaplan, Donna M Muzny, Ginger A Metcalf, Richard A Gibbs, Bing Yu, Eric Boerwinkle, Michael A Eberle, Fritz J Sedlazeck

Faculty, Staff and Students Publications

The abundance of Lp(a) protein holds significant implications for the risk of cardiovascular disease (CVD), which is directly impacted by the copy number (CN) of KIV-2, a 5.5 kbp sub-region. KIV-2 is highly polymorphic in the population and accurate analysis is challenging. In this study, we present the DRAGEN KIV-2 CN caller, which utilizes short reads. Data across 166 WGS show that the caller has high accuracy, compared to optical mapping and can further phase approximately 50% of the samples. We compared KIV-2 CN numbers to 24 previously postulated KIV-2 relevant SNVs, revealing that many are ineffective predictors of KIV-2 …

The Short Allele Of The Serotonin Transporter Gene (Slc6a4) Increases Predisposition To Anxiety And Negative Emotional States, Gabriella Hitti

PANDION: The Osprey Journal of Research and Ideas

Mental disorders, such as anxiety and mood disorders, have long been a focus of psychological research, and increasing evidence points to a genetic basis for their occurrence. Polymorphisms of the serotonin transporter (5-HTT) gene (SLC6A4) may predispose an individual to anxiety-related symptoms. SLC6A4 has two common alleles: the short (s) allele, which results in less 5-HTT protein production, and the long (l) allele, which results in more 5-HTT. Integrated findings from psychometric evaluations, behavioral animal models, and biological assessments establish a link between the s allele of SLC6A4 and heightened anxiety phenotypes. The allele’s influence on serotonin levels and brain …

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). …

Deepface: Deep-Learning-Based Framework To Contextualize Orofacial-Cleft-Related Variants During Human Embryonic Craniofacial Development, Yulin Dai, Toshiyuki Itai, Guangsheng Pei, Fangfang Yan, Yan Chu, Xiaoqian Jiang, Seth M Weinberg, Nandita Mukhopadhyay, Mary L Marazita, Lukas M Simon, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Orofacial clefts (OFCs) are among the most common human congenital birth defects. Previous multiethnic studies have identified dozens of associated loci for both cleft lip with or without cleft palate (CL/P) and cleft palate alone (CP). Although several nearby genes have been highlighted, the "casual" variants are largely unknown. Here, we developed DeepFace, a convolutional neural network model, to assess the functional impact of variants by SNP activity difference (SAD) scores. The DeepFace model is trained with 204 epigenomic assays from crucial human embryonic craniofacial developmental stages of post-conception week (pcw) 4 to pcw 10. The Pearson correlation coefficient between …

Genetic Diversity Of 1,845 Rhesus Macaques Improves Genetic Variation Interpretation And Identifies Disease Models, Jun Wang, Meng Wang, Ala Moshiri, R Alan Harris, Muthuswamy Raveendran, Tracy Nguyen, Soohyun Kim, Laura Young, Keqing Wang, Roger Wiseman, David H O'Connor, Zach Johnson, Melween Martinez, Michael J Montague, Ken Sayers, Martha Lyke, Eric Vallender, Tim Stout, Yumei Li, Sara M Thomasy, Jeffrey Rogers, Rui Chen

Faculty, Staff and Students Publications

Understanding and treating human diseases require valid animal models. Leveraging the genetic diversity in rhesus macaque populations across eight primate centers in the United States, we conduct targeted-sequencing on 1845 individuals for 374 genes linked to inherited human retinal and neurodevelopmental diseases. We identify over 47,000 single nucleotide variants, a substantial proportion of which are shared with human populations. By combining rhesus and human allele frequencies with established variant prediction methods, we develop a machine learning-based score that outperforms established methods in predicting missense variant pathogenicity. Remarkably, we find a marked number of loss-of-function variants and putative deleterious variants, which …

Methphaser: Methylation-Based Long-Read Haplotype Phasing Of Human Genomes, Yilei Fu, Sergey Aganezov, Medhat Mahmoud, John Beaulaurier, Sissel Juul, Todd J Treangen, Fritz J Sedlazeck

Faculty, Staff and Students Publications

The assignment of variants across haplotypes, phasing, is crucial for predicting the consequences, interaction, and inheritance of mutations and is a key step in improving our understanding of phenotype and disease. However, phasing is limited by read length and stretches of homozygosity along the genome. To overcome this limitation, we designed MethPhaser, a method that utilizes methylation signals from Oxford Nanopore Technologies to extend Single Nucleotide Variation (SNV)-based phasing. We demonstrate that haplotype-specific methylations extensively exist in Human genomes and the advent of long-read technologies enabled direct report of methylation signals. For ONT R9 and R10 cell line data, we …

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 …

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.

Examining The Effect Of Genes On Depression As Mediated By Smoking And Modified By Sex, Kirsten Voorhies, Julian Hecker, Sanghun Lee, Georg Hahn, Dmitry Prokopenko, Merry-Lynn Mcdonald, Alexander C Wu, Ann Wu, John E Hokanson, Michael H Cho, Christoph Lange, Karin F Hoth, Sharon M Lutz

Faculty, Staff and Student Publications

Depression is heritable, differs by sex, and has environmental risk factors such as cigarette smoking. However, the effect of single nucleotide polymorphisms (SNPs) on depression through cigarette smoking and the role of sex is unclear. In order to examine the association of SNPs with depression and smoking in the UK Biobank with replication in the COPDGene study, we used counterfactual-based mediation analysis to test the indirect or mediated effect of SNPs on broad depression through the log of pack-years of cigarette smoking, adjusting for age, sex, current smoking status, and genetic ancestry (via principal components). In secondary analyses, we adjusted …

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 …

Multilocus Pathogenic Variants Contribute To Intrafamilial Clinical Heterogeneity: A Retrospective Study Of Sibling Pairs With Neurodevelopmental Disorders, Tugce Bozkurt-Yozgatli, Davut Pehlivan, Richard A Gibbs, Ugur Sezerman, Jennifer E Posey, James R Lupski, Zeynep Coban-Akdemir

Faculty, Staff and Students Publications

BACKGROUND: Multilocus pathogenic variants (MPVs) are genetic changes that affect multiple gene loci or regions of the genome, collectively leading to multiple molecular diagnoses. MPVs may also contribute to intrafamilial phenotypic variability between affected individuals within a nuclear family. In this study, we aim to gain further insights into the influence of MPVs on a disease manifestation in individual research subjects and explore the complexities of the human genome within a familial context.

METHODS: We conducted a systematic reanalysis of exome sequencing data and runs of homozygosity (ROH) regions of 47 sibling pairs previously diagnosed with various neurodevelopmental disorders (NDD). …

Factors Associated With Blood Mercury Concentrations And Their Interactions With Three Glutathione S-Transferase Genes (Gstt1, Gstm1, And Gstp1): An Exposure Assessment Study Of Typically Developing Jamaican Children, Sheikh Farzana Zaman, Maureen Samms-Vaughan, Sepideh Saroukhani, Jan Bressler, Manouchehr Hessabi, Megan L Grove, Sydonnie Shakespeare Pellington, Katherine A Loveland, Mohammad H Rahbar

Faculty, Staff and Student Publications

BACKGROUND: Jamaican soil is abundant in heavy metals including mercury (Hg). Due to availability and ease of access, fish is a traditional dietary component in Jamaica and a significant source of Hg exposure. Mercury is a xenobiotic and known neuro-toxicant that affects children's neurodevelopment. Human glutathione S-transferase (GST) genes, including GSTT1, GSTM1, and GSTP1, affect Hg conjugation and elimination mechanisms.

METHODS: In this exposure assessment study we used data from 375 typically developing (TD) 2-8-year-old Jamaican children to explore the association between environmental Hg exposure, GST genes, and their interaction effects on blood Hg concentrations (BHgCs). We used multivariable general …

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 …

Estimating Heritability Explained By Local Ancestry And Evaluating Stratification Bias In Admixture Mapping From Summary Statistics, Tsz Fung Chan, Xinyue Rui, David V Conti, Myriam Fornage, Mariaelisa Graff, Jeffrey Haessler, Christopher Haiman, Heather M Highland, Su Yon Jung, Eimear E Kenny, Charles Kooperberg, Loic Le Marchand, Kari E North, Ran Tao, Genevieve Wojcik, Christopher R Gignoux, Charleston W K Chiang, Nicholas Mancuso

Faculty, Staff and Student Publications

The heritability explained by local ancestry markers in an admixed population (h

Genotype Error Due To Low-Coverage Sequencing Induces Uncertainty In Polygenic Scoring, Ella Petter, Yi Ding, Kangcheng Hou, Arjun Bhattacharya, Alexander Gusev, Noah Zaitlen, Bogdan Pasaniuc

Faculty, Staff and Student Publications

Polygenic scores (PGSs) have emerged as a standard approach to predict phenotypes from genotype data in a wide array of applications from socio-genomics to personalized medicine. Traditional PGSs assume genotype data to be error-free, ignoring possible errors and uncertainties introduced from genotyping, sequencing, and/or imputation. In this work, we investigate the effects of genotyping error due to low coverage sequencing on PGS estimation. We leverage SNP array and low-coverage whole-genome sequencing data (lcWGS, median coverage 0.04×) of 802 individuals from the Dana-Farber PROFILE cohort to show that PGS error correlates with sequencing depth (p = 1.2 × 10

Discordant Calls Across Genotype Discovery Approaches Elucidate Variants With Systematic Errors, Elizabeth G Atkinson, Mykyta Artomov, Alexander A Loboda, Heidi L Rehm, Daniel G Macarthur, Konrad J Karczewski, Benjamin M Neale, Mark J Daly

Faculty, Staff and Students Publications

Large-scale high-throughput sequencing data sets have been transformative for informing clinical variant interpretation and for use as reference panels for statistical and population genetic efforts. Although such resources are often treated as ground truth, we find that in widely used reference data sets such as the Genome Aggregation Database (gnomAD), some variants pass gold-standard filters, yet are systematically different in their genotype calls across genotype discovery approaches. The inclusion of such discordant sites in study designs involving multiple genotype discovery strategies could bias results and lead to false-positive hits in association studies owing to technological artifacts rather than a true …

Declining Autozygosity Over Time: An Exploration In Over 1 Million Individuals From Three Diverse Cohorts, Sarah M C Colbert, Frank R Wendt, Gita A Pathak, Drew A Helmer, Elizabeth R Hauser, Matthew C Keller, Renato Polimanti, Emma C Johnson

Faculty, Staff and Students Publications

Previous studies have hypothesized that autozygosity is decreasing over generational time. However, these studies were limited to relatively small samples (n < 11,000) lacking in diversity, which may limit the generalizability of their findings. We present data that partially support this hypothesis from three large cohorts of diverse ancestries, two from the US (All of Us, n = 82,474; the Million Veteran Program, n = 622,497) and one from the UK (UK Biobank, n = 380,899). Our results from a mixed-effect meta-analysis demonstrate an overall trend of decreasing autozygosity over generational time (meta-analyzed slope = -0.029, SE = 0.009, p = 6.03e-4). On the basis of our estimates, we would predict F