Life Sciences Commons^™

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 …

The Mrna-Lnp Vaccines - The Good, The Bad And The Ugly?, Botond Z. Igyártó, Zhen Qin

Department of Microbiology and Immunology Faculty Papers

The mRNA-LNP vaccine has received much attention during the COVID-19 pandemic since it served as the basis of the most widely used SARS-CoV-2 vaccines in Western countries. Based on early clinical trial data, these vaccines were deemed safe and effective for all demographics. However, the latest data raise serious concerns about the safety and effectiveness of these vaccines. Here, we review some of the safety and efficacy concerns identified to date. We also discuss the potential mechanism of observed adverse events related to the use of these vaccines and whether they can be mitigated by alterations of this vaccine mechanism …

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 …

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. …

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).

Bisphenol-A And Phthalate Metabolism In Children With Neurodevelopmental Disorders, T Peter Stein, Margaret D Schluter, Robert A Steer, Xue Ming

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

BACKGROUND: The etiology of autism spectrum (ASD) and Attention Deficit/Hyperactivity (ADHD) disorders are multifactorial. Epidemiological studies have shown associations with environmental pollutants, such as plasticizers. This study focused on two of these compounds, the Bisphenol-A (BPA) and Diethylhexyl Phthalate (DEHP). The major pathway for BPA and DEHP excretion is via glucuronidation. Glucuronidation makes insoluble substances more water-soluble allowing for their subsequent elimination in urine.

HYPOTHESIS: Detoxification of these two plasticizers is compromised in children with ASD and ADHD. Consequently, their tissues are more exposed to these two plasticizers.

METHODS: We measured the efficiency of glucuronidation in three groups of children, …

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

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 …

Antibody Duration After Infection From Sars-Cov-2 In The Texas Coronavirus Antibody Response Survey, Michael D Swartz, Stacia M Desantis, Ashraf Yaseen, Frances A Brito, Melissa A Valerio-Shewmaker, Sarah E Messiah, Luis G Leon-Novelo, Harold W Kohl, Cesar L Pinzon-Gomez, Tianyao Hao, Shiming Zhang, Yashar Talebi, Joy Yoo, Jessica R Ross, Michael O Gonzalez, Leqing Wu, Steven H Kelder, Mark Silberman, Samantha Tuzo, Stephen J Pont, Jennifer A Shuford, David Lakey, Eric Boerwinkle

Journal Articles

Understanding the duration of antibodies to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus that causes COVID-19 is important to controlling the current pandemic. Participants from the Texas Coronavirus Antibody Response Survey (Texas CARES) with at least 1 nucleocapsid protein antibody test were selected for a longitudinal analysis of antibody duration. A linear mixed model was fit to data from participants (n = 4553) with 1 to 3 antibody tests over 11 months (1 October 2020 to 16 September 2021), and models fit showed that expected antibody response after COVID-19 infection robustly increases for 100 days postinfection, and predicts …

Exposure To Pcb126 During The Nursing Period Reversibly Impacts Early-Life Glucose Tolerance, Brittany B. Rice, Keegan W. Sammons, Sara Y. Ngo Tenlep, Madeline T. Weltzer, Leryn J. Reynolds, Cetewayo S. Rashid, Hollie I. Swanson, Kevin J. Pearson

Human Movement Sciences & Special Education Faculty Publications

Polychlorinated biphenyls (PCBs) are persistent environmental organic pollutants known to have detrimental health effects. Using a mouse model, we previously demonstrated that PCB126 exposure before and during pregnancy and throughout the perinatal period adversely affected offspring glucose tolerance and/or body composition profiles. The purpose of this study was to investigate the glucose tolerance and body composition of offspring born to dams exposed to PCB126 during the nursing period only. Female ICR mice were bred, and half of the dams were exposed to either vehicle (safflower oil) or 1 µmole PCB126 per kg of body weight via oral gavage on postnatal …

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 …

Leveraging Pleiotropy To Discover And Interpret Gwas Results For Sleep-Associated Traits, Sung Chun, Sebastian Akle, Athanasios Teodosiadis, Brian E Cade, Heming Wang, Tamar Sofer, Daniel S Evans, Katie L Stone, Sina A Gharib, Sutapa Mukherjee, Lyle J Palmer, David Hillman, Jerome I Rotter, Craig L Hanis, John A Stamatoyannopoulos, Susan Redline, Chris Cotsapas, Shamil R Sunyaev

Journal Articles

Genetic association studies of many heritable traits resulting from physiological testing often have modest sample sizes due to the cost and burden of the required phenotyping. This reduces statistical power and limits discovery of multiple genetic associations. We present a strategy to leverage pleiotropy between traits to both discover new loci and to provide mechanistic hypotheses of the underlying pathophysiology. Specifically, we combine a colocalization test with a locus-level test of pleiotropy. In simulations, we show that this approach is highly selective for identifying true pleiotropy driven by the same causative variant, thereby improves the chance to replicate the associations …

A Framework For Detecting Noncoding Rare-Variant Associations Of Large-Scale Whole-Genome Sequencing Studies, Zilin Li, Xihao Li, Hufeng Zhou, Sheila M Gaynor, Margaret Sunitha Selvaraj, Theodore Arapoglou, Corbin Quick, Yaowu Liu, Han Chen, Ryan Sun, Rounak Dey, Donna K Arnett, Paul L Auer, Lawrence F Bielak, Joshua C Bis, Thomas W Blackwell, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, Matthew P Conomos, Adolfo Correa, L Adrienne Cupples, Joanne E Curran, Paul S De Vries, Ravindranath Duggirala, Nora Franceschini, Barry I Freedman, Harald H H Göring, Xiuqing Guo, Rita R Kalyani, Charles Kooperberg, Brian G Kral, Leslie A Lange, Bridget M Lin, Ani Manichaikul, Alisa K Manning, Lisa W Martin, Rasika A Mathias, James B Meigs, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Laura M Raffield, Susan Redline, Alexander P Reiner, Muagututi'a Sefuiva Reupena, Kenneth M Rice, Stephen S Rich, Jennifer A Smith, Kent D Taylor, Margaret A Taub, Ramachandran S Vasan, Daniel E Weeks, James G Wilson, Lisa R Yanek, Wei Zhao, Jerome I Rotter, Cristen J Willer, Pradeep Natarajan, Gina M Peloso, Xihong Lin

Journal Articles

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate …

Comparative Risks Of Initial Aortic Events Associated With Genetic Thoracic Aortic Disease, Ellen S Regalado, Shaine A Morris, Alan C Braverman, Ellen M Hostetler, Julie De Backer, Ruosha Li, Reed E Pyeritz, Anji T Yetman, Elena Cervi, Sherene Shalhub, Richmond Jeremy, Scott Lemaire, Maral Ouzounian, Arturo Evangelista, Catherine Boileau, Guillaume Jondeau, Dianna M Milewicz

Journal Articles

BACKGROUND: Pathogenic variants in 11 genes predispose individuals to heritable thoracic aortic disease (HTAD), but limited data are available to stratify the risk for aortic events associated with these genes.

OBJECTIVES: This study sought to compare the risk of first aortic event, specifically thoracic aortic aneurysm surgery or an aortic dissection, among 7 HTAD genes and variant types within each gene.

METHODS: A retrospective cohort of probands and relatives with rare variants in 7 genes for HTAD (n = 1,028) was assessed for the risk of first aortic events based on the gene altered, pathogenic variant type, sex, proband status, …

A Genome-Wide Association Study Of Obstructive Heart Defects Among Participants In The National Birth Defects Prevention Study, Sara R Rashkin, Mario Cleves, Gary M Shaw, Wendy N Nembhard, Eirini Nestoridi, Mary M Jenkins, Paul A Romitti, Xiang-Yang Lou, Marilyn L Browne, Laura E Mitchell, Andrew F Olshan, Kevin Lomangino, Sudeepa Bhattacharyya, John S Witte, Charlotte A Hobbs

Journal Articles

Obstructive heart defects (OHDs) share common structural lesions in arteries and cardiac valves, accounting for ~25% of all congenital heart defects. OHDs are highly heritable, resulting from interplay among maternal exposures, genetic susceptibilities, and epigenetic phenomena. A genome-wide association study was conducted in National Birth Defects Prevention Study participants (N

Top-Ld: A Tool To Explore Linkage Disequilibrium With Topmed Whole-Genome Sequence Data, Le Huang, Jonathan D Rosen, Quan Sun, Jiawen Chen, Marsha M Wheeler, Ying Zhou, Yuan-I Min, Charles Kooperberg, Matthew P Conomos, Adrienne M Stilp, Stephen S Rich, Jerome I Rotter, Ani Manichaikul, Ruth J F Loos, Eimear E Kenny, Thomas W Blackwell, Albert V Smith, Goo Jun, Fritz J Sedlazeck, Ginger Metcalf, Eric Boerwinkle, Laura M Raffield, Alex P Reiner, Paul L Auer, Yun Li

Journal Articles

Current publicly available tools that allow rapid exploration of linkage disequilibrium (LD) between markers (e.g., HaploReg and LDlink) are based on whole-genome sequence (WGS) data from 2,504 individuals in the 1000 Genomes Project. Here, we present TOP-LD, an online tool to explore LD inferred with high-coverage (∼30×) WGS data from 15,578 individuals in the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. TOP-LD provides a significant upgrade compared to current LD tools, as the TOPMed WGS data provide a more comprehensive representation of genetic variation than the 1000 Genomes data, particularly for rare variants and in the specific populations that we …

Host And Gut Microbial Tryptophan Metabolism And Type 2 Diabetes: An Integrative Analysis Of Host Genetics, Diet, Gut Microbiome And Circulating Metabolites In Cohort Studies, Qibin Qi, Jun Li, Bing Yu, Jee-Young Moon, Jin C Chai, Jordi Merino, Jie Hu, Miguel Ruiz-Canela, Casey Rebholz, Zheng Wang, Mykhaylo Usyk, Guo-Chong Chen, Bianca C Porneala, Wenshuang Wang, Ngoc Quynh Nguyen, Elena V Feofanova, Megan L Grove, Thomas J Wang, Robert E Gerszten, Josée Dupuis, Jordi Salas-Salvadó, Wei Bao, David L Perkins, Martha L Daviglus, Bharat Thyagarajan, Jianwen Cai, Tao Wang, Joann E Manson, Miguel A Martínez-González, Elizabeth Selvin, Kathryn M Rexrode, Clary B Clish, Frank B Hu, James B Meigs, Rob Knight, Robert D Burk, Eric Boerwinkle, Robert C Kaplan

Journal Articles

OBJECTIVE: Tryptophan can be catabolised to various metabolites through host kynurenine and microbial indole pathways. We aimed to examine relationships of host and microbial tryptophan metabolites with incident type 2 diabetes (T2D), host genetics, diet and gut microbiota.

METHOD: We analysed associations between circulating levels of 11 tryptophan metabolites and incident T2D in 9180 participants of diverse racial/ethnic backgrounds from five cohorts. We examined host genome-wide variants, dietary intake and gut microbiome associated with these metabolites.

RESULTS: Tryptophan, four kynurenine-pathway metabolites (kynurenine, kynurenate, xanthurenate and quinolinate) and indolelactate were positively associated with T2D risk, while indolepropionate was inversely associated with …

Association Study Between Mucin 4 (Muc4) Polymorphisms And Idiopathic Recurrent Pregnancy Loss In A Korean Population, Ji-Hyang Kim, Han-Sung Park, Jeong-Yong Lee, Eun-Ju Ko, Young-Ran Kim, Hee-Young Cho, Woo-Sik Lee, Eun-Hee Ahn, Nam-Keun Kim

Journal Articles

Recurrent pregnancy loss (RPL) is the loss of two or more consecutive pregnancies before 20 weeks of gestational age. Our study investigated whether mucin 4 (MUC4) polymorphisms are associated with RPL. MUC polymorphisms (rs882605 C>A, rs1104760 A>G, rs2688513 A>G, rs2258447 C>T, and rs2291652 A>G) were genotyped in 374 women with RPL and 239 controls of Korean ethnicity using polymerase chain reaction-restriction fragment length polymorphism analysis and the TaqMan probe SNP genotyping assay. Differences in genotype frequencies between cases of RPL and the controls were compared. MUC4 rs882605 C>A and rs1104760 A>G polymorphisms were …

Centers For Mendelian Genomics: A Decade Of Facilitating Gene Discovery, Samantha M Baxter, Jennifer E Posey, Nicole J Lake, Nara Sobreira, Jessica X Chong, Steven Buyske, Elizabeth E Blue, Lisa H Chadwick, Zeynep H Coban-Akdemir, Kimberly F Doheny, Colleen P Davis, Monkol Lek, Christopher Wellington, Shalini N Jhangiani, Mark Gerstein, Richard A Gibbs, Richard P Lifton, Daniel G Macarthur, Tara C Matise, James R Lupski, David Valle, Michael J Bamshad, Ada Hamosh, Shrikant Mane, Deborah A Nickerson, Heidi L Rehm, Anne O'Donnell-Luria

Journal Articles

PURPOSE: Mendelian disease genomic research has undergone a massive transformation over the past decade. With increasing availability of exome and genome sequencing, the role of Mendelian research has expanded beyond data collection, sequencing, and analysis to worldwide data sharing and collaboration.

METHODS: Over the past 10 years, the National Institutes of Health-supported Centers for Mendelian Genomics (CMGs) have played a major role in this research and clinical evolution.

RESULTS: We highlight the cumulative gene discoveries facilitated by the program, biomedical research leveraged by the approach, and the larger impact on the research community. Beyond generating a list of gene-phenotype relationships …

A Forward-Thinking Approach To Addressing The New Synthetic Opioid 2-Benzylbenzimidazole Nitazene Analogs By Liquid Chromatography-Tandem Quadrupole Mass Spectrometry (Lc-Qqq-Ms), Sara E Walton, Alex J Krotulski, Barry K Logan

College of Life Sciences Faculty Papers

Novel psychoactive substances (NPS) continue to represent a threat to public health and safety. The number of new drugs in the latest emergent synthetic opioid class-the 2-benzylbenzimidazole analogs-also called the nitazenes-has begun to dominate the current new synthetic opioid (NSO) subclass of NPS. We describe a liquid chromatography-tandem quadrupole mass spectrometry method for the quantification of nine analogs and/or metabolites of drugs in this series: isotonitazene, metonitazene, protonitazene, etonitazene, clonitazene, flunitazene, N-desethyl isotonitazene, 5-amino isotonitazene and 4'-hydroxy nitazene in human whole blood, urine, and tissue. Samples were prepared for analysis using a basic liquid-liquid extraction. Chromatographic separation was achieved using …

Elucidating The Clinical Spectrum And Molecular Basis Of Hyal2 Deficiency, James Fasham, Siying Lin, Promita Ghosh, Francesca Clementina Radio, Emily G Farrow, Isabelle Thiffault, Jennifer Kussman, Dihong Zhou, Rick Hemming, Kenneth Zahka, Barry A Chioza, Lettie E Rawlins, Olivia K Wenger, Adam C Gunning, Simone Pizzi, Roberta Onesimo, Giuseppe Zampino, Emily Barker, Natasha Osawa, Megan Christine Rodriguez, Teresa M Neuhann, Elaine H Zackai, Beth Keena, Jenina Capasso, Alex V Levin, Elizabeth Bhoj, Dong Li, Hakon Hakonarson, Ingrid M Wentzensen, Adam Jackson, Kate E Chandler, Zeynep H Coban-Akdemir, Jennifer E Posey, Siddharth Banka, James R Lupski, Sarah E Sheppard, Marco Tartaglia, Barbara Triggs-Raine, Andrew H Crosby, Emma L Baple

Journal Articles

PURPOSE: We previously defined biallelic HYAL2 variants causing a novel disorder in 2 families, involving orofacial clefting, facial dysmorphism, congenital heart disease, and ocular abnormalities, with Hyal2 knockout mice displaying similar phenotypes. In this study, we better define the phenotype and pathologic disease mechanism.

METHODS: Clinical and genomic investigations were undertaken alongside molecular studies, including immunoblotting and immunofluorescence analyses of variant/wild-type human HYAL2 expressed in mouse fibroblasts, and in silico modeling of putative pathogenic variants.

RESULTS: Ten newly identified individuals with this condition were investigated, and they were associated with 9 novel pathogenic variants. Clinical studies defined genotype-phenotype correlations and …

Rare Coding Variants In Rcn3 Are Associated With Blood Pressure, Karen Y. He, Tanika N. Kelly, Heming Wang, Jingjing Liang, Luke Zhu, Brian E. Cade, Themistocles L. Assimes, Lewis C. Becker, Amber L. Beitelshees, Lawrence F. Bielak, Adam P. Bress, Jennifer A. Brody, Yen-Pei Christy Chang, Yi-Cheng Chang, Paul S. De Vries, Ravindranath Duggirala, Ervin R. Fox, Nora Franceschini, Anna L. Furniss, Yan Gao, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

BACKGROUND: While large genome-wide association studies have identified nearly one thousand loci associated with variation in blood pressure, rare variant identification is still a challenge. In family-based cohorts, genome-wide linkage scans have been successful in identifying rare genetic variants for blood pressure. This study aims to identify low frequency and rare genetic variants within previously reported linkage regions on chromosomes 1 and 19 in African American families from the Trans-Omics for Precision Medicine (TOPMed) program. Genetic association analyses weighted by linkage evidence were completed with whole genome sequencing data within and across TOPMed ancestral groups consisting of 60,388 individuals of …

Genetic Errors Of Immunity Distinguish Pediatric Nonmalignant Lymphoproliferative Disorders, Lisa R Forbes, Olive S Eckstein, Nitya Gulati, Erin C Peckham-Gregory, Nmazuo W Ozuah, Joseph Lubega, Nader K El-Mallawany, Jennifer E Agrusa, M Cecilia Poli, Tiphanie P Vogel, Natalia S Chaimowitz, Nicholas L Rider, Emily M Mace, Jordan S Orange, Jason W Caldwell, Juan C Aldave-Becerra, Stephen Jolles, Francesco Saettini, Hey J Chong, Asbjorg Stray-Pedersen, Helen E Heslop, Kala Y Kamdar, R Helen Rouce, Donna M Muzny, Shalini N Jhangiani, Richard A Gibbs, Zeynep H Coban-Akdemir, James R Lupski, Kenneth L Mcclain, Carl E Allen, Ivan K Chinn

Journal Articles

BACKGROUND: Pediatric nonmalignant lymphoproliferative disorders (PLPDs) are clinically and genetically heterogeneous. Long-standing immune dysregulation and lymphoproliferation in children may be life-threatening, and a paucity of data exists to guide evaluation and treatment of children with PLPD.

OBJECTIVE: The primary objective of this study was to ascertain the spectrum of genomic immunologic defects in PLPD. Secondary objectives included characterization of clinical outcomes and associations between genetic diagnoses and those outcomes.

METHODS: PLPD was defined by persistent lymphadenopathy, lymph organ involvement, or lymphocytic infiltration for more than 3 months, with or without chronic or significant Epstein-Barr virus (EBV) infection. Fifty-one subjects from …

Mothers' Perceptions Of Their Children's Weight: Opportunity For Health Promotion In Kuwait, Abdullah Al-Taiar, Nawal Alqaoud, Reem Sharaf-Alddin, Muge Akpinar-Elci

Community & Environmental Health Faculty Publications

Background: Mothers’ perceptions of their children’s weight remain mostly unknown in oil-rich countries of the Middle East.

Aims: To compare maternal perceptions of their children’s weight with actual body weight.

Methods: We used the Kuwait nutritional surveillance data for 5 consecutive years (2015-2019) (N = 5119), which were collected through face-to-face interviews with mothers of children aged 2-5 years attending vaccination centres.

Results: Of the 5119 mothers in the study, 163 (3.18%) and 332 (6.48%) had obese or overweight children, respectively. Among 4624 mothers who had normal weight children, 1350 (29.20%) perceived their children’s weight as …

Methodology To Estimate Natural- And Vaccine-Induced Antibodies To Sars-Cov-2 In A Large Geographic Region, Stacia M Desantis, Luis G León-Novelo, Michael D Swartz, Ashraf S Yaseen, Melissa A Valerio-Shewmaker, Yashar Talebi, Frances A Brito, Jessica A Ross, Harold W Kohl, Sarah E Messiah, Steve H Kelder, Leqing Wu, Shiming Zhang, Kimberly A Aguillard, Michael O Gonzalez, Onyinye S Omega-Njemnob, David Lakey, Jennifer A Shuford, Stephen Pont, Eric Boerwinkle

Journal Articles

Accurate estimates of natural and/or vaccine-induced antibodies to SARS-CoV-2 are difficult to obtain. Although model-based estimates of seroprevalence have been proposed, they require inputting unknown parameters including viral reproduction number, longevity of immune response, and other dynamic factors. In contrast to a model-based approach, the current study presents a data-driven detailed statistical procedure for estimating total seroprevalence (defined as antibodies from natural infection or from full vaccination) in a region using prospectively collected serological data and state-level vaccination data. Specifically, we conducted a longitudinal statewide serological survey with 88,605 participants 5 years or older with 3 prospective blood draws beginning …

Meta-Analyses Identify Dna Methylation Associated With Kidney Function And Damage, Pascal Schlosser, Adrienne Tin, Pamela R Matias-Garcia, Chris H L Thio, Roby Joehanes, Hongbo Liu, Antoine Weihs, Zhi Yu, Anselm Hoppmann, Franziska Grundner-Culemann, Josine L Min, Adebowale A Adeyemo, Charles Agyemang, Johan Ärnlöv, Nasir A Aziz, Andrea Baccarelli, Murielle Bochud, Hermann Brenner, Monique M B Breteler, Cristian Carmeli, Layal Chaker, John C Chambers, Shelley A Cole, Josef Coresh, Tanguy Corre, Adolfo Correa, Simon R Cox, Niek De Klein, Graciela E Delgado, Arce Domingo-Relloso, Kai-Uwe Eckardt, Arif B Ekici, Karlhans Endlich, Kathryn L Evans, James S Floyd, Myriam Fornage, Lude Franke, Eliza Fraszczyk, Xu Gao, Xīn Gào, Mohsen Ghanbari, Sahar Ghasemi, Christian Gieger, Philip Greenland, Megan L Grove, Sarah E Harris, Gibran Hemani, Peter Henneman, Christian Herder, Steve Horvath, Lifang Hou, Mikko A Hurme, Shih-Jen Hwang, Marjo-Riitta Jarvelin, Sharon L R Kardia, Silva Kasela, Marcus E Kleber, Wolfgang Koenig, Jaspal S Kooner, Holly Kramer, Florian Kronenberg, Brigitte Kühnel, Terho Lehtimäki, Lars Lind, Dan Liu, Yongmei Liu, Donald M Lloyd-Jones, Kurt Lohman, Stefan Lorkowski, Ake T Lu, Riccardo E Marioni, Winfried März, Daniel L Mccartney, Karlijn A C Meeks, Lili Milani, Pashupati P Mishra, Matthias Nauck, Ana Navas-Acien, Christoph Nowak, Annette Peters, Holger Prokisch, Bruce M Psaty, Olli T Raitakari, Scott M Ratliff, Alex P Reiner, Sylvia E Rosas, Ben Schöttker, Joel Schwartz, Sanaz Sedaghat, Jennifer A Smith, Nona Sotoodehnia, Hannah R Stocker, Silvia Stringhini, Johan Sundström, Brenton R Swenson, Maria Tellez-Plaza, Joyce B J Van Meurs, Jana V Van Vliet-Ostaptchouk, Andrea Venema, Niek Verweij, Rosie M Walker, Matthias Wielscher, Juliane Winkelmann, Bruce H R Wolffenbuttel, Wei Zhao, Yinan Zheng, Marie Loh, Harold Snieder, Daniel Levy, Melanie Waldenberger, Katalin Susztak, Anna Köttgen, Alexander Teumer

Journal Articles

Chronic kidney disease is a major public health burden. Elevated urinary albumin-to-creatinine ratio is a measure of kidney damage, and used to diagnose and stage chronic kidney disease. To extend the knowledge on regulatory mechanisms related to kidney function and disease, we conducted a blood-based epigenome-wide association study for estimated glomerular filtration rate (n = 33,605) and urinary albumin-to-creatinine ratio (n = 15,068) and detected 69 and seven CpG sites where DNA methylation was associated with the respective trait. The majority of these findings showed directionally consistent associations with the respective clinical outcomes chronic kidney disease and moderately increased albuminuria. …