Genetics and Genomics Commons^™

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

Journal Articles

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 …

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

Journal Articles

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 …

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

Journal Articles

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

Journal Articles

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 …

Case Of Human Orthohantavirus Infection, Michigan, Usa, 2021, Samuel M Goodfellow, Robert A Nofchissey, Dustin Arsnoe, Chunyan Ye, Seonghyeon Lee, Jieun Park, Won-Keun Kim, Kartik Chandran, Shannon L M Whitmer, John D Klena, Jonathan W Dyal, Trevor Shoemaker, Diana Riner, Mary Grace Stobierski, Kimberly Signs, Steven B Bradfute

Journal Articles

Orthohantaviruses cause hantavirus cardiopulmonary syndrome; most cases occur in the southwest region of the United States. We discuss a clinical case of orthohantavirus infection in a 65-year-old woman in Michigan and the phylogeographic link of partial viral fragments from the patient and rodents captured near the presumed site of infection.

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

Journal Articles

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.

Contextualizing The Revised Patient Perception Of Patient-Centeredness (Pppc-R) Scale In Primary Healthcare Settings: A Validity And Reliability Evaluation Study, Yiyuan Cai, Pengfei Guo, Jiong Tu, Mengyao Hu, Lingrui Liu, Bridget L Ryan, Jing Liao, Rubee Dev, Yiran Li, Tianyu Huang, Ruilin Wang, Li Kuang, Ruonan Huang, Xinfang Li, Edmundo Roberto Melipillán, Shuaixiang Zhao, Wenjun He, Xiaohui Wang, Nan Zhang, Dong Roman Xu

Journal Articles

BACKGROUND: An English version of the Patient Perception of Patient-Centeredness (PPPC) scale was recently revised, and it is necessary to test this instrument in different primary care populations.

AIM: This study aimed to assess the validity and reliability of a Chinese version of the PPPC scale.

DESIGN: A mixed method was used in this study. The Delphi method was used to collect qualitative and quantitative data to address the content validity of the PPPC scale by calculating the Content Validity Index, Content Validity Ratio, the adjusted Kappa, and the Item Impact Score. Confirmatory factor analysis (CFA) and exploratory factor analysis …

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

Journal Articles

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 …

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

Journal Articles

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 …

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

Journal Articles

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 …

Chromosome 10q2432 Variants Associate With Brain Arterial Diameters In Diverse Populations: A Genome-Wide Association Study, Minghua Liu, Farid Khasiyev, Sanjeev Sariya, Antonio Spagnolo-Allende, Danurys L Sanchez, Howard Andrews, Qiong Yang, Alexa Beiser, Ye Qiao, Emy A Thomas, Jose Rafael Romero, Tatjana Rundek, Adam M Brickman, Jennifer J Manly, Mitchell Sv Elkind, Sudha Seshadri, Christopher Chen, Saima Hilal, Bruce A Wasserman, Giuseppe Tosto, Myriam Fornage, Jose Gutierrez

Journal Articles

BACKGROUND: Brain arterial diameters (BADs) are novel imaging biomarkers of cerebrovascular disease, cognitive decline, and dementia. Traditional vascular risk factors have been associated with BADs, but whether there may be genetic determinants of BADs is unknown.

METHODS AND RESULTS: The authors studied 4150 participants from 6 geographically diverse population-based cohorts (40% European, 14% African, 22% Hispanic, 24% Asian ancestries). Brain arterial diameters for 13 segments were measured and averaged to obtain a global measure of BADs as well as the posterior and anterior circulations. A genome-wide association study revealed 14 variants at one locus associated with global BAD at genome-wide …

Type 2 Diabetes Modifies The Association Of Cad Genomic Risk Variants With Subclinical Atherosclerosis, Natalie R Hasbani, Kenneth E Westerman, Soo Heon Kwak, Han Chen, Xihao Li, Daniel Di Corpo, Jennifer Wessel, Joshua C Bis, Chloè Sarnowski, Peitao Wu, Lawrence F Bielak, Xiuqing Guo, Nancy Heard-Costa, Gregory L Kinney, Michael C Mahaney, May E Montasser, Nicholette D Palmer, Laura M Raffield, James G Terry, Lisa R Yanek, Jessica Bon, Donald W Bowden, Jennifer A Brody, Ravindranath Duggirala, David R Jacobs, Rita R Kalyani, Leslie A Lange, Braxton D Mitchell, Jennifer A Smith, Kent D Taylor, April P Carson, Joanne E Curran, Myriam Fornage, Barry I Freedman, Stacey Gabriel, Richard A Gibbs, Namrata Gupta, Sharon L R Kardia, Brian G Kral, Zeineen Momin, Anne B Newman, Wendy S Post, Karine A Viaud-Martinez, Kendra A Young, Lewis C Becker, Alain G Bertoni, John Blangero, John J Carr, Katherine Pratte, Bruce M Psaty, Stephen S Rich, Joseph C Wu, Rajeev Malhotra, Patricia A Peyser, Alanna C Morrison, Ramachandran S Vasan, Xihong Lin, Jerome I Rotter, James B Meigs, Alisa K Manning, Paul S De Vries

Journal Articles

BACKGROUND: Individuals with type 2 diabetes (T2D) have an increased risk of coronary artery disease (CAD), but questions remain about the underlying pathology. Identifying which CAD loci are modified by T2D in the development of subclinical atherosclerosis (coronary artery calcification [CAC], carotid intima-media thickness, or carotid plaque) may improve our understanding of the mechanisms leading to the increased CAD in T2D.

METHODS: We compared the common and rare variant associations of known CAD loci from the literature on CAC, carotid intima-media thickness, and carotid plaque in up to 29 670 participants, including up to 24 157 normoglycemic controls and 5513 …

A Double-Robust Test For High-Dimensional Gene Coexpression Networks Conditioning On Clinical Information, Maomao Ding, Ruosha Li, Jin Qin, Jing Ning

Journal Articles

It has been increasingly appealing to evaluate whether expression levels of two genes in a gene coexpression network are still dependent given samples' clinical information, in which the conditional independence test plays an essential role. For enhanced robustness regarding model assumptions, we propose a class of double-robust tests for evaluating the dependence of bivariate outcomes after controlling for known clinical information. Although the proposed test relies on the marginal density functions of bivariate outcomes given clinical information, the test remains valid as long as one of the density functions is correctly specified. Because of the closed-form variance formula, the proposed …

Identification Of Circulating Proteins Associated With General Cognitive Function Among Middle-Aged And Older Adults, Adrienne Tin, Alison E Fohner, Qiong Yang, Jennifer A Brody, Gail Davies, Jie Yao, Dan Liu, Ilana Caro, Joni V Lindbohm, Michael R Duggan, Osorio Meirelles, Sarah E Harris, Valborg Gudmundsdottir, Adele M Taylor, Albert Henry, Alexa S Beiser, Ali Shojaie, Annabell Coors, Annette L Fitzpatrick, Claudia Langenberg, Claudia L Satizabal, Colleen M Sitlani, Eleanor Wheeler, Elliot M Tucker-Drob, Jan Bressler, Josef Coresh, Joshua C Bis, Julián Candia, Lori L Jennings, Maik Pietzner, Mark Lathrop, Oscar L Lopez, Paul Redmond, Robert E Gerszten, Stephen S Rich, Susan R Heckbert, Thomas R Austin, Timothy M Hughes, Toshiko Tanaka, Valur Emilsson, Ramachandran S Vasan, Xiuqing Guo, Yineng Zhu, Christophe Tzourio, Jerome I Rotter, Keenan A Walker, Luigi Ferrucci, Mika Kivimäki, Monique M B Breteler, Simon R Cox, Stephanie Debette, Thomas H Mosley, Vilmundur G Gudnason, Lenore J Launer, Bruce M Psaty, Sudha Seshadri, Myriam Fornage

Journal Articles

Identifying circulating proteins associated with cognitive function may point to biomarkers and molecular process of cognitive impairment. Few studies have investigated the association between circulating proteins and cognitive function. We identify 246 protein measures quantified by the SomaScan assay as associated with cognitive function (p < 4.9E-5, n up to 7289). Of these, 45 were replicated using SomaScan data, and three were replicated using Olink data at Bonferroni-corrected significance. Enrichment analysis linked the proteins associated with general cognitive function to cell signaling pathways and synapse architecture. Mendelian randomization analysis implicated higher levels of NECTIN2, a protein mediating viral entry into neuronal cells, with higher Alzheimer's disease (AD) risk (p = 2.5E-26). Levels of 14 other protein measures were implicated as consequences of AD susceptibility (p < 2.0E-4). Proteins implicated as causes or consequences of AD susceptibility may provide new insight into the potential relationship between immunity and AD susceptibility as well as potential therapeutic targets.

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

Journal Articles

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

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

Journal Articles

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. …

Utilization And Predictors Of Adjuvant Metformin For Children And Adolescents On Mixed Receptor Antagonists (Second-Generation Antipsychotics), Hua Chen, Ning Lyu, Wenyaw Chan, Austin De La Cruz, Chadi Calarge

Journal Articles

OBJECTIVE: to examine utilization and predictors of adjuvant metformin among pediatric recipients of second-generation antipsychotics (SGAs) (mixed receptor antagonist).

METHOD: This study used 2016-2021 data of a national electronic medical record database. Eligible participants were children aged 6 to 17 with a new SGA prescription for at least 90 days. Predictors of prescribing adjuvant metformin in general and to nonobese pediatric SGA recipients in particular were assessed using conditional logistic regression and logistic regression analyses, respectively.

RESULTS: Of 30,009 pediatric SGA recipients identified, 2.3% (n = 785) received adjuvant metformin. Among 597 participants with a body mass index z score …

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

Journal Articles

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 …

Association Between Whole Blood-Derived Mitochondrial Dna Copy Number, Low-Density Lipoprotein Cholesterol, And Cardiovascular Disease Risk, Xue Liu, Xianbang Sun, Yuankai Zhang, Wenqing Jiang, Meng Lai, Kerri L Wiggins, Laura M Raffield, Lawrence F Bielak, Wei Zhao, Achilleas Pitsillides, Jeffrey Haessler, Yinan Zheng, Thomas W Blackwell, Jie Yao, Xiuqing Guo, Yong Qian, Bharat Thyagarajan, Nathan Pankratz, Stephen S Rich, Kent D Taylor, Patricia A Peyser, Susan R Heckbert, Sudha Seshadri, Eric Boerwinkle, Megan L Grove, Nicholas B Larson, Jennifer A Smith, Ramachandran S Vasan, Annette L Fitzpatrick, Myriam Fornage, Jun Ding, April P Carson, Goncalo Abecasis, Josée Dupuis, Alexander Reiner, Charles Kooperberg, Lifang Hou, Bruce M Psaty, James G Wilson, Daniel Levy, Jerome I Rotter, Joshua C Bis, Claudia L Satizabal, Dan E Arking, Chunyu Liu

Journal Articles

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross-sectional and prospective association analyses of blood-derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole-genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia).

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

Journal Articles

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 …

T-Cell Receptor Beta Variable Gene Polymorphism Predicts Immune-Related Adverse Events During Checkpoint Blockade Immunotherapy, Bettzy Stephen, Joud Hajjar, Shrutii Sarda, Dzifa Yawa Duose, Jeffrey M Conroy, Carl Morrison, Anas Alshawa, Mingxuan Xu, Abdulrazzak Zarifa, Sapna P Patel, Ying Yuan, Evan Kwiatkowski, Linghua Wang, Jordi Rodon Ahnert, Siqing Fu, Funda Meric-Bernstam, Geoffrey M Lowman, Timothy Looney, Aung Naing

Journal Articles

BACKGROUND: Immune checkpoint inhibitors have revolutionized cancer treatment. However, they are associated with a unique spectrum of side effects, called immune-related adverse events (irAEs), which can cause significant morbidity and quickly progress to severe or life-threatening events if not treated promptly. Identifying predictive biomarkers for irAEs before immunotherapy initiation is therefore a critical area of research. Polymorphisms within the T-cell receptor beta (TCRB) variable (TRBV) gene have been implicated in autoimmune disease and may be mechanistically linked to irAEs. However, the repetitive nature of the TCRB locus and incomplete genome assembly has hampered the evaluation of TRBV polymorphisms in the …

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

Journal Articles

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: …

Rare Variant Enrichment Analysis Supports, Angad Jolly, Haowei Du, Christelle Borel, Na Chen, Sen Zhao, Christopher M Grochowski, Ruizhi Duan, Jawid M Fatih, Moez Dawood, Sejal Salvi, Shalini N Jhangiani, Donna M Muzny, André Koch, Konstantinos Rouskas, Stavros Glentis, Efthymios Deligeoroglou, Flora Bacopoulou, Carol A Wise, Jennifer E Dietrich, Ignatia B Van Den Veyver, Antigone S Dimas, Sara Brucker, V Reid Sutton, Richard A Gibbs, Stylianos E Antonarakis, Nan Wu, Zeynep H Coban-Akdemir, Lan Zhu, Jennifer E Posey, James R Lupski

Journal Articles

Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is characterized by aplasia of the female reproductive tract; the syndrome can include renal anomalies, absence or dysgenesis, and skeletal anomalies. While functional models have elucidated several candidate genes, only

Genome-Wide Association Study And Functional Characterization Identifies Candidate Genes For Insulin-Stimulated Glucose Uptake, Alice Williamson, Dougall M Norris, Xianyong Yin, K Alaine Broadaway, Anne H Moxley, Swarooparani Vadlamudi, Emma P Wilson, Anne U Jackson, Vasudha Ahuja, Mette K Andersen, Zorayr Arzumanyan, Lori L Bonnycastle, Stefan R Bornstein, Maxi P Bretschneider, Thomas A Buchanan, Yi-Cheng Chang, Lee-Ming Chuang, Ren-Hua Chung, Tine D Clausen, Peter Damm, Graciela E Delgado, Vanessa D De Mello, Josée Dupuis, Om P Dwivedi, Michael R Erdos, Lilian Fernandes Silva, Timothy M Frayling, Christian Gieger, Mark O Goodarzi, Xiuqing Guo, Stefan Gustafsson, Liisa Hakaste, Ulf Hammar, Gad Hatem, Sandra Herrmann, Kurt Højlund, Katrin Horn, Willa A Hsueh, Yi-Jen Hung, Chii-Min Hwu, Anna Jonsson, Line L Kårhus, Marcus E Kleber, Peter Kovacs, Timo A Lakka, Marie Lauzon, I-Te Lee, Cecilia M Lindgren, Jaana Lindström, Allan Linneberg, Ching-Ti Liu, Jian'an Luan, Dina Mansour Aly, Elisabeth Mathiesen, Angela P Moissl, Andrew P Morris, Narisu Narisu, Nikolaos Perakakis, Annette Peters, Rashmi B Prasad, Roman N Rodionov, Kathryn Roll, Carsten F Rundsten, Chloé Sarnowski, Kai Savonen, Markus Scholz, Sapna Sharma, Sara E Stinson, Sufyan Suleman, Jingyi Tan, Kent D Taylor, Matti Uusitupa, Dorte Vistisen, Daniel R Witte, Romy Walther, Peitao Wu, Anny H Xiang, Björn Zethelius, Emma Ahlqvist, Richard N Bergman, Yii-Der Ida Chen, Francis S Collins, Tove Fall, Jose C Florez, Andreas Fritsche, Harald Grallert, Leif Groop, Torben Hansen, Heikki A Koistinen, Pirjo Komulainen, Markku Laakso, Lars Lind, Markus Loeffler, Winfried März, James B Meigs, Leslie J Raffel, Rainer Rauramaa, Jerome I Rotter, Peter E H Schwarz, Michael Stumvoll, Johan Sundström, Anke Tönjes, Tiinamaija Tuomi, Jaakko Tuomilehto, Robert Wagner, Inês Barroso, Mark Walker, Niels Grarup, Michael Boehnke, Nicholas J Wareham, Karen L Mohlke, Eleanor Wheeler, Stephen O'Rahilly, Daniel J Fazakerley, Claudia Langenberg

Journal Articles

Distinct tissue-specific mechanisms mediate insulin action in fasting and postprandial states. Previous genetic studies have largely focused on insulin resistance in the fasting state, where hepatic insulin action dominates. Here we studied genetic variants influencing insulin levels measured 2 h after a glucose challenge in >55,000 participants from three ancestry groups. We identified ten new loci (P < 5 × 10-8) not previously associated with postchallenge insulin resistance, eight of which were shown to share their genetic architecture with type 2 diabetes in colocalization analyses. We investigated candidate genes at a subset of associated loci in cultured cells and identified nine candidate genes newly implicated in the expression or trafficking of GLUT4, the key glucose transporter in postprandial glucose uptake in muscle and fat. By focusing on postprandial insulin resistance, we highlighted the mechanisms of action at type 2 diabetes loci that are not adequately captured by studies of fasting glycemic traits.

Association Of Mitochondrial Dna Copy Number With Brain Mri Markers And Cognitive Function: A Meta-Analysis Of Community-Based Cohorts, Yuankai Zhang, Xue Liu, Kerri L Wiggins, Nuzulul Kurniansyah, Xiuqing Guo, Amanda L Rodrigue, Wei Zhao, Lisa R Yanek, Scott M Ratliff, Achilleas Pitsillides, Juan Sebastian Aguirre Patiño, Tamar Sofer, Dan E Arking, Thomas R Austin, Alexa S Beiser, John Blangero, Eric Boerwinkle, Jan Bressler, Joanne E Curran, Lifang Hou, Timothy M Hughes, Sharon L R Kardia, Lenore J Launer, Daniel Levy, Thomas H Mosley, Ilya M Nasrallah, Stephen S Rich, Jerome I Rotter, Sudha Seshadri, Wassim Tarraf, Kevin A González, Vasan Ramachandran, Kristine Yaffe, Paul A Nyquist, Bruce M Psaty, Charles S Decarli, Jennifer A Smith, David C Glahn, Hector M González, Joshua C Bis, Myriam Fornage, Susan R Heckbert, Annette L Fitzpatrick, Chunyu Liu, Claudia L Satizabal

Journal Articles

BACKGROUND AND OBJECTIVES: Previous studies suggest that lower mitochondrial DNA (mtDNA) copy number (CN) is associated with neurodegenerative diseases. However, whether mtDNA CN in whole blood is related to endophenotypes of Alzheimer disease (AD) and AD-related dementia (AD/ADRD) needs further investigation. We assessed the association of mtDNA CN with cognitive function and MRI measures in community-based samples of middle-aged to older adults.

METHODS: We included dementia-free participants from 9 diverse community-based cohorts with whole-genome sequencing in the Trans-Omics for Precision Medicine (TOPMed) program. Circulating mtDNA CN was estimated as twice the ratio of the average coverage of mtDNA to nuclear …

Genetic Effect On Body Mass Index And Cardiovascular Disease Across Generations, Chloé Sarnowski, Matthew P Conomos, Ramachandran S Vasan, James B Meigs, Josée Dupuis, Ching-Ti Liu, Aaron Leong

Journal Articles

BACKGROUND: Whether genetics contribute to the rising prevalence of obesity or its cardiovascular consequences in today's obesogenic environment remains unclear. We sought to determine whether the effects of a higher aggregate genetic burden of obesity risk on body mass index (BMI) or cardiovascular disease (CVD) differed by birth year.

METHODS: We split the FHS (Framingham Heart Study) into 4 equally sized birth cohorts (birth year before 1932, 1932 to 1946, 1947 to 1959, and after 1960). We modeled a genetic predisposition to obesity using an additive genetic risk score (GRS) of 941 BMI-associated variants and tested for GRS-birth year interaction …

Systemic Interindividual Epigenetic Variation In Humans Is Associated With Transposable Elements And Under Strong Genetic Control, Chathura J Gunasekara, Harry Mackay, C Anthony Scott, Shaobo Li, Eleonora Laritsky, Maria S Baker, Sandra L Grimm, Goo Jun, Yumei Li, Rui Chen, Joseph L Wiemels, Cristian Coarfa, Robert A Waterland

Journal Articles

BACKGROUND: Genetic variants can modulate phenotypic outcomes via epigenetic intermediates, for example at methylation quantitative trait loci (mQTL). We present the first large-scale assessment of mQTL at human genomic regions selected for interindividual variation in CpG methylation, which we call correlated regions of systemic interindividual variation (CoRSIVs). These can be assayed in blood DNA and do not reflect interindividual variation in cellular composition.

RESULTS: We use target-capture bisulfite sequencing to assess DNA methylation at 4086 CoRSIVs in multiple tissues from each of 188 donors in the NIH Gene-Tissue Expression (GTEx) program. At CoRSIVs, DNA methylation in peripheral blood correlates with …

Genome-Wide Mendelian Randomization Identifies Putatively Causal Gut Microbiota For Multiple Peptic Ulcer Diseases, Jingwei Zhao, Yucheng Hou, Tianyi Xie, Yizhang Zhu, Xinyi Feng, Yong Zhang, Ziyi Yang, Wei Gong

Journal Articles

OBJECTIVE: The pathogenesis of peptic ulcer diseases (PUDs) involves multiple factors, and the contribution of gut microbiota to this process remains unclear. While previous studies have associated gut microbiota with peptic ulcers, the precise nature of the relationship, whether causal or influenced by biases, requires further elucidation.

DESIGN: The largest meta-analysis of genome-wide association studies was conducted by the MiBioGen consortium, which provided the summary statistics of gut microbiota for implementation in the Mendelian randomization (MR) analysis. Summary statistics for five types of PUDs were compiled using the FinnGen Consortium R8 release data. Various statistical techniques, including inverse variance weighting …

Development Of Competency-Based Online Genomic Medicine Training (Cogent)., Susanne B Haga, Wendy K Chung, Luis A Cubano, Timothy B Curry, Philip E Empey, Geoffrey S Ginsburg, Kara Mangold, Christina Y Miyake, Siddharth K Prakash, Laura B Ramsey, Robb Rowley, Carolyn R Rohrer Vitek, Todd C Skaar, Julia Wynn, Teri A Manolio

Journal Articles

The fields of genetics and genomics have greatly expanded across medicine through the development of new technologies that have revealed genetic contributions to a wide array of traits and diseases. Thus, the development of widely available educational resources for all healthcare providers is essential to ensure the timely and appropriate utilization of genetics and genomics patient care. In 2020, the National Human Genome Research Institute released a call for new proposals to develop accessible, sustainable online education for health providers. This paper describes the efforts of the six teams awarded to reach the goal of providing genetic and genomic training …

Whole Genome Sequencing Identifies Structural Variants Contributing To Hematologic Traits In The Nhlbi Topmed Program, Marsha M Wheeler, Adrienne M Stilp, Shuquan Rao, Bjarni V Halldórsson, Doruk Beyter, Jia Wen, Anna V Mihkaylova, Caitlin P Mchugh, John Lane, Min-Zhi Jiang, Laura M Raffield, Goo Jun, Fritz J Sedlazeck, Ginger Metcalf, Yao Yao, Joshua B Bis, Nathalie Chami, Paul S De Vries, Pinkal Desai, James S Floyd, Yan Gao, Kai Kammers, Wonji Kim, Jee-Young Moon, Aakrosh Ratan, Lisa R Yanek, Laura Almasy, Lewis C Becker, John Blangero, Michael H Cho, Joanne E Curran, Myriam Fornage, Robert C Kaplan, Joshua P Lewis, Ruth J F Loos, Braxton D Mitchell, Alanna C Morrison, Michael Preuss, Bruce M Psaty, Stephen S Rich, Jerome I Rotter, Hua Tang, Russell P Tracy, Eric Boerwinkle, Goncalo R Abecasis, Thomas W Blackwell, Albert V Smith, Andrew D Johnson, Rasika A Mathias, Deborah A Nickerson, Matthew P Conomos, Yun Li, Unnur Þorsteinsdóttir, Magnús K Magnússon, Kari Stefansson, Nathan D Pankratz, Daniel E Bauer, Paul L Auer, Alex P Reiner

Journal Articles

Genome-wide association studies have identified thousands of single nucleotide variants and small indels that contribute to variation in hematologic traits. While structural variants are known to cause rare blood or hematopoietic disorders, the genome-wide contribution of structural variants to quantitative blood cell trait variation is unknown. Here we utilized whole genome sequencing data in ancestrally diverse participants of the NHLBI Trans Omics for Precision Medicine program (N = 50,675) to detect structural variants associated with hematologic traits. Using single variant tests, we assessed the association of common and rare structural variants with red cell-, white cell-, and platelet-related quantitative traits …