Browsing by Subject "Genome-Wide Association Study"
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Item Open Access A cellular genome-wide association study reveals human variation in microtubule stability and a role in inflammatory cell death.(Mol Biol Cell, 2014-01) Salinas, Raul E; Ogohara, Cassandra; Thomas, Monica I; Shukla, Kajal P; Miller, Samuel I; Ko, Dennis CPyroptosis is proinflammatory cell death that occurs in response to certain microbes. Activation of the protease caspase-1 by molecular platforms called inflammasomes is required for pyroptosis. We performed a cellular genome-wide association study (GWAS) using Salmonella typhimurium infection of human lymphoblastoid cell lines as a means of dissecting the genetic architecture of susceptibility to pyroptosis and identifying unknown regulatory mechanisms. Cellular GWAS revealed that a common human genetic difference that regulates pyroptosis also alters microtubule stability. An intergenic single-nucleotide polymorphism on chromosome 18 is associated with decreased pyroptosis and increased expression of TUBB6 (tubulin, β 6 class V). TUBB6 is unique among tubulin isoforms in that its overexpression can completely disrupt the microtubule network. Cells from individuals with higher levels of TUBB6 expression have lower microtubule stability and less pyroptosis. Reducing TUBB6 expression or stabilizing microtubules pharmacologically with paclitaxel (Taxol) increases pyroptosis without affecting the other major readout of caspase-1 activation, interleukin-1β secretion. The results reveal a new role for microtubules and possibly specific tubulin isoforms in the execution of pyroptosis. Furthermore, the finding that there is common diversity in TUBB6 expression and microtubule stability could have broad consequences for other microtubule-dependent phenotypes, diseases, and pharmacological responses.Item Open Access A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies.(Nature methods, 2022-12) Li, Zilin; Li, Xihao; Zhou, Hufeng; Gaynor, Sheila M; Selvaraj, Margaret Sunitha; Arapoglou, Theodore; Quick, Corbin; Liu, Yaowu; Chen, Han; Sun, Ryan; Dey, Rounak; Arnett, Donna K; Auer, Paul L; Bielak, Lawrence F; Bis, Joshua C; Blackwell, Thomas W; Blangero, John; Boerwinkle, Eric; Bowden, Donald W; Brody, Jennifer A; Cade, Brian E; Conomos, Matthew P; Correa, Adolfo; Cupples, L Adrienne; Curran, Joanne E; de Vries, Paul S; Duggirala, Ravindranath; Franceschini, Nora; Freedman, Barry I; Göring, Harald HH; Guo, Xiuqing; Kalyani, Rita R; Kooperberg, Charles; Kral, Brian G; Lange, Leslie A; Lin, Bridget M; Manichaikul, Ani; Manning, Alisa K; Martin, Lisa W; Mathias, Rasika A; Meigs, James B; Mitchell, Braxton D; Montasser, May E; Morrison, Alanna C; Naseri, Take; O'Connell, Jeffrey R; Palmer, Nicholette D; Peyser, Patricia A; Psaty, Bruce M; Raffield, Laura M; Redline, Susan; Reiner, Alexander P; Reupena, Muagututi'a Sefuiva; Rice, Kenneth M; Rich, Stephen S; Smith, Jennifer A; Taylor, Kent D; Taub, Margaret A; Vasan, Ramachandran S; Weeks, Daniel E; Wilson, James G; Yanek, Lisa R; Zhao, Wei; NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium; TOPMed Lipids Working Group; Rotter, Jerome I; Willer, Cristen J; Natarajan, Pradeep; Peloso, Gina M; Lin, XihongLarge-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 multiple functional annotations. In non-gene-centric analysis, STAARpipeline uses SCANG-STAAR to incorporate dynamic window sizes and multiple functional annotations. We apply STAARpipeline to identify noncoding RV sets associated with four lipid traits in 21,015 discovery samples from the Trans-Omics for Precision Medicine (TOPMed) program and replicate several of them in an additional 9,123 TOPMed samples. We also analyze five non-lipid TOPMed traits.Item Open Access A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese.(PLoS Genet, 2010-02-19) Tsai, Fuu-Jen; Yang, Chi-Fan; Chen, Ching-Chu; Chuang, Lee-Ming; Lu, Chieh-Hsiang; Chang, Chwen-Tzuei; Wang, Tzu-Yuan; Chen, Rong-Hsing; Shiu, Chiung-Fang; Liu, Yi-Min; Chang, Chih-Chun; Chen, Pei; Chen, Chien-Hsiun; Fann, Cathy SJ; Chen, Yuan-Tsong; Wu, Jer-YuarnTo investigate the underlying mechanisms of T2D pathogenesis, we looked for diabetes susceptibility genes that increase the risk of type 2 diabetes (T2D) in a Han Chinese population. A two-stage genome-wide association (GWA) study was conducted, in which 995 patients and 894 controls were genotyped using the Illumina HumanHap550-Duo BeadChip for the first genome scan stage. This was further replicated in 1,803 patients and 1,473 controls in stage 2. We found two loci not previously associated with diabetes susceptibility in and around the genes protein tyrosine phosphatase receptor type D (PTPRD) (P = 8.54x10(-10); odds ratio [OR] = 1.57; 95% confidence interval [CI] = 1.36-1.82), and serine racemase (SRR) (P = 3.06x10(-9); OR = 1.28; 95% CI = 1.18-1.39). We also confirmed that variants in KCNQ1 were associated with T2D risk, with the strongest signal at rs2237895 (P = 9.65x10(-10); OR = 1.29, 95% CI = 1.19-1.40). By identifying two novel genetic susceptibility loci in a Han Chinese population and confirming the involvement of KCNQ1, which was previously reported to be associated with T2D in Japanese and European descent populations, our results may lead to a better understanding of differences in the molecular pathogenesis of T2D among various populations.Item Open Access A genome-wide association study of upper aerodigestive tract cancers conducted within the INHANCE consortium.(PLoS genetics, 2011-03-17) McKay, James D; Truong, Therese; Gaborieau, Valerie; Chabrier, Amelie; Chuang, Shu-Chun; Byrnes, Graham; Zaridze, David; Shangina, Oxana; Szeszenia-Dabrowska, Neonila; Lissowska, Jolanta; Rudnai, Peter; Fabianova, Eleonora; Bucur, Alexandru; Bencko, Vladimir; Holcatova, Ivana; Janout, Vladimir; Foretova, Lenka; Lagiou, Pagona; Trichopoulos, Dimitrios; Benhamou, Simone; Bouchardy, Christine; Ahrens, Wolfgang; Merletti, Franco; Richiardi, Lorenzo; Talamini, Renato; Barzan, Luigi; Kjaerheim, Kristina; Macfarlane, Gary J; Macfarlane, Tatiana V; Simonato, Lorenzo; Canova, Cristina; Agudo, Antonio; Castellsagué, Xavier; Lowry, Ray; Conway, David I; McKinney, Patricia A; Healy, Claire M; Toner, Mary E; Znaor, Ariana; Curado, Maria Paula; Koifman, Sergio; Menezes, Ana; Wünsch-Filho, Victor; Neto, José Eluf; Garrote, Leticia Fernández; Boccia, Stefania; Cadoni, Gabriella; Arzani, Dario; Olshan, Andrew F; Weissler, Mark C; Funkhouser, William K; Luo, Jingchun; Lubiński, Jan; Trubicka, Joanna; Lener, Marcin; Oszutowska, Dorota; Schwartz, Stephen M; Chen, Chu; Fish, Sherianne; Doody, David R; Muscat, Joshua E; Lazarus, Philip; Gallagher, Carla J; Chang, Shen-Chih; Zhang, Zuo-Feng; Wei, Qingyi; Sturgis, Erich M; Wang, Li-E; Franceschi, Silvia; Herrero, Rolando; Kelsey, Karl T; McClean, Michael D; Marsit, Carmen J; Nelson, Heather H; Romkes, Marjorie; Buch, Shama; Nukui, Tomoko; Zhong, Shilong; Lacko, Martin; Manni, Johannes J; Peters, Wilbert HM; Hung, Rayjean J; McLaughlin, John; Vatten, Lars; Njølstad, Inger; Goodman, Gary E; Field, John K; Liloglou, Triantafillos; Vineis, Paolo; Clavel-Chapelon, Francoise; Palli, Domenico; Tumino, Rosario; Krogh, Vittorio; Panico, Salvatore; González, Carlos A; Quirós, J Ramón; Martínez, Carmen; Navarro, Carmen; Ardanaz, Eva; Larrañaga, Nerea; Khaw, Kay-Tee; Key, Timothy; Bueno-de-Mesquita, H Bas; Peeters, Petra HM; Trichopoulou, Antonia; Linseisen, Jakob; Boeing, Heiner; Hallmans, Göran; Overvad, Kim; Tjønneland, Anne; Kumle, Merethe; Riboli, Elio; Välk, Kristjan; Vooder, Tõnu; Metspalu, Andres; Zelenika, Diana; Boland, Anne; Delepine, Marc; Foglio, Mario; Lechner, Doris; Blanché, Hélène; Gut, Ivo G; Galan, Pilar; Heath, Simon; Hashibe, Mia; Hayes, Richard B; Boffetta, Paolo; Lathrop, Mark; Brennan, PaulGenome-wide association studies (GWAS) have been successful in identifying common genetic variation involved in susceptibility to etiologically complex disease. We conducted a GWAS to identify common genetic variation involved in susceptibility to upper aero-digestive tract (UADT) cancers. Genome-wide genotyping was carried out using the Illumina HumanHap300 beadchips in 2,091 UADT cancer cases and 3,513 controls from two large European multi-centre UADT cancer studies, as well as 4,821 generic controls. The 19 top-ranked variants were investigated further in an additional 6,514 UADT cancer cases and 7,892 controls of European descent from an additional 13 UADT cancer studies participating in the INHANCE consortium. Five common variants presented evidence for significant association in the combined analysis (p ≤ 5 × 10⁻⁷). Two novel variants were identified, a 4q21 variant (rs1494961, p = 1×10⁻⁸) located near DNA repair related genes HEL308 and FAM175A (or Abraxas) and a 12q24 variant (rs4767364, p =2 × 10⁻⁸) located in an extended linkage disequilibrium region that contains multiple genes including the aldehyde dehydrogenase 2 (ALDH2) gene. Three remaining variants are located in the ADH gene cluster and were identified previously in a candidate gene study involving some of these samples. The association between these three variants and UADT cancers was independently replicated in 5,092 UADT cancer cases and 6,794 controls non-overlapping samples presented here (rs1573496-ADH7, p = 5 × 10⁻⁸); rs1229984-ADH1B, p = 7 × 10⁻⁹; and rs698-ADH1C, p = 0.02). These results implicate two variants at 4q21 and 12q24 and further highlight three ADH variants in UADT cancer susceptibility.Item Open Access A genome-wide association study of variants associated with acquisition of Staphylococcus aureus bacteremia in a healthcare setting.(BMC Infect Dis, 2014-02-13) Nelson, Charlotte L; Pelak, Kimberly; Podgoreanu, Mihai V; Ahn, Sun Hee; Scott, William K; Allen, Andrew S; Cowell, Lindsay G; Rude, Thomas H; Zhang, Yurong; Tong, Amy; Ruffin, Felicia; Sharma-Kuinkel, Batu K; Fowler, Vance GBACKGROUND: Humans vary in their susceptibility to acquiring Staphylococcus aureus infection, and research suggests that there is a genetic basis for this variability. Several recent genome-wide association studies (GWAS) have identified variants that may affect susceptibility to infectious diseases, demonstrating the potential value of GWAS in this arena. METHODS: We conducted a GWAS to identify common variants associated with acquisition of S. aureus bacteremia (SAB) resulting from healthcare contact. We performed a logistic regression analysis to compare patients with healthcare contact who developed SAB (361 cases) to patients with healthcare contact in the same hospital who did not develop SAB (699 controls), testing 542,410 SNPs and adjusting for age (by decade), sex, and 6 significant principal components from our EIGENSTRAT analysis. Additionally, we evaluated the joint effect of the host and pathogen genomes in association with severity of SAB infection via logistic regression, including an interaction of host SNP with bacterial genotype, and adjusting for age (by decade), sex, the 6 significant principal components, and dialysis status. Bonferroni corrections were applied in both analyses to control for multiple comparisons. RESULTS: Ours is the first study that has attempted to evaluate the entire human genome for variants potentially involved in the acquisition or severity of SAB. Although this study identified no common variant of large effect size to have genome-wide significance for association with either the risk of acquiring SAB or severity of SAB, the variant (rs2043436) most significantly associated with severity of infection is located in a biologically plausible candidate gene (CDON, a member of the immunoglobulin family) and may warrant further study. CONCLUSIONS: The genetic architecture underlying SAB is likely to be complex. Future investigations using larger samples, narrowed phenotypes, and advances in both genotyping and analytical methodologies will be important tools for identifying causative variants for this common and serious cause of healthcare-associated infection.Item Open Access A Genome-Wide CRISPR/Cas9-Based Screen Identifies Heparan Sulfate Proteoglycans as Ligands of Killer-Cell Immunoglobulin-Like Receptors.(Frontiers in immunology, 2021-01) Klein, Klara; Hölzemer, Angelique; Wang, Tim; Kim, Tae-Eun; Dugan, Haley L; Jost, Stephanie; Altfeld, Marcus; Garcia-Beltran, Wilfredo FWhile human leukocyte antigen (HLA) and HLA-like proteins comprise an overwhelming majority of known ligands for NK-cell receptors, the interactions of NK-cell receptors with non-conventional ligands, particularly carbohydrate antigens, is less well described. We previously found through a bead-based HLA screen that KIR3DS1, a formerly orphan member of the killer-cell immunoglobulin-like receptor (KIR) family, binds to HLA-F. In this study, we assessed the ligand binding profile of KIR3DS1 to cell lines using Fc fusion constructs, and discovered that KIR3DS1-Fc exhibited binding to several human cell lines including ones devoid of HLA. To identify these non-HLA ligands, we developed a magnetic enrichment-based genome-wide CRISPR/Cas9 knock-out screen approach, and identified enzymes involved in the biosynthesis of heparan sulfate as crucial for the binding of KIR3DS1-Fc to K562 cells. This interaction between KIR3DS1 and heparan sulfate was confirmed via surface plasmon resonance, and removal of heparan sulfate proteoglycans from cell surfaces abolished KIR3DS1-Fc binding. Testing of additional KIR-Fc constructs demonstrated that KIR family members containing a D0 domain (KIR3DS1, KIR3DL1, KIR3DL2, KIR2DL4, and KIR2DL5) bound to heparan sulfate, while those without a D0 domain (KIR2DL1, KIR2DL2, KIR2DL3, and KIR2DS4) did not. Overall, this study demonstrates the use of a genome-wide CRISPR/Cas9 knock-out strategy to unbiasedly identify unconventional ligands of NK-cell receptors. Furthermore, we uncover a previously underrecognized binding of various activating and inhibitory KIRs to heparan sulfate proteoglycans that may play a role in NK-cell receptor signaling and target-cell recognition.Item Open Access A meta-analysis of four genome-wide association studies of survival to age 90 years or older: the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.(J Gerontol A Biol Sci Med Sci, 2010-05) Newman, Anne B; Walter, Stefan; Lunetta, Kathryn L; Garcia, Melissa E; Slagboom, P Eline; Christensen, Kaare; Arnold, Alice M; Aspelund, Thor; Aulchenko, Yurii S; Benjamin, Emelia J; Christiansen, Lene; D'Agostino, Ralph B; Fitzpatrick, Annette L; Franceschini, Nora; Glazer, Nicole L; Gudnason, Vilmundur; Hofman, Albert; Kaplan, Robert; Karasik, David; Kelly-Hayes, Margaret; Kiel, Douglas P; Launer, Lenore J; Marciante, Kristin D; Massaro, Joseph M; Miljkovic, Iva; Nalls, Michael A; Hernandez, Dena; Psaty, Bruce M; Rivadeneira, Fernando; Rotter, Jerome; Seshadri, Sudha; Smith, Albert V; Taylor, Kent D; Tiemeier, Henning; Uh, Hae-Won; Uitterlinden, André G; Vaupel, James W; Walston, Jeremy; Westendorp, Rudi GJ; Harris, Tamara B; Lumley, Thomas; van Duijn, Cornelia M; Murabito, Joanne MBACKGROUND: Genome-wide association studies (GWAS) may yield insights into longevity. METHODS: We performed a meta-analysis of GWAS in Caucasians from four prospective cohort studies: the Age, Gene/Environment Susceptibility-Reykjavik Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Longevity was defined as survival to age 90 years or older (n = 1,836); the comparison group comprised cohort members who died between the ages of 55 and 80 years (n = 1,955). In a second discovery stage, additional genotyping was conducted in the Leiden Longevity Study cohort and the Danish 1905 cohort. RESULTS: There were 273 single-nucleotide polymorphism (SNP) associations with p < .0001, but none reached the prespecified significance level of 5 x 10(-8). Of the most significant SNPs, 24 were independent signals, and 16 of these SNPs were successfully genotyped in the second discovery stage, with one association for rs9664222, reaching 6.77 x 10(-7) for the combined meta-analysis of CHARGE and the stage 2 cohorts. The SNP lies in a region near MINPP1 (chromosome 10), a well-conserved gene involved in regulation of cellular proliferation. The minor allele was associated with lower odds of survival past age 90 (odds ratio = 0.82). Associations of interest in a homologue of the longevity assurance gene (LASS3) and PAPPA2 were not strengthened in the second stage. CONCLUSION: Survival studies of larger size or more extreme or specific phenotypes may support or refine these initial findings.Item Open Access A Novel Genetic Variant in Long Non-coding RNA Gene NEXN-AS1 is Associated with Risk of Lung Cancer.(Scientific reports, 2016-10-07) Yuan, Hua; Liu, Hongliang; Liu, Zhensheng; Owzar, Kouros; Han, Younghun; Su, Li; Wei, Yongyue; Hung, Rayjean J; McLaughlin, John; Brhane, Yonathan; Brennan, Paul; Bickeboeller, Heike; Rosenberger, Albert; Houlston, Richard S; Caporaso, Neil; Landi, Maria Teresa; Heinrich, Joachim; Risch, Angela; Christiani, David C; Gümüş, Zeynep H; Klein, Robert J; Amos, Christopher I; Wei, QingyiLung cancer etiology is multifactorial, and growing evidence has indicated that long non-coding RNAs (lncRNAs) are important players in lung carcinogenesis. We performed a large-scale meta-analysis of 690,564 SNPs in 15,531 autosomal lncRNAs by using datasets from six previously published genome-wide association studies (GWASs) from the Transdisciplinary Research in Cancer of the Lung (TRICL) consortium in populations of European ancestry. Previously unreported significant SNPs (P value < 1 × 10-7) were further validated in two additional independent lung cancer GWAS datasets from Harvard University and deCODE. In the final meta-analysis of all eight GWAS datasets with 17,153 cases and 239,337 controls, a novel risk SNP rs114020893 in the lncRNA NEXN-AS1 region at 1p31.1 remained statistically significant (odds ratio = 1.17; 95% confidence interval = 1.11-1.24; P = 8.31 × 10-9). In further in silico analysis, rs114020893 was predicted to change the secondary structure of the lncRNA. Our finding indicates that SNP rs114020893 of NEXN-AS1 at 1p31.1 may contribute to lung cancer susceptibility.Item Open Access An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility.(Genome medicine, 2021-05) Wang, Liuyang; Balmat, Thomas J; Antonia, Alejandro L; Constantine, Florica J; Henao, Ricardo; Burke, Thomas W; Ingham, Andy; McClain, Micah T; Tsalik, Ephraim L; Ko, Emily R; Ginsburg, Geoffrey S; DeLong, Mark R; Shen, Xiling; Woods, Christopher W; Hauser, Elizabeth R; Ko, Dennis CBackground
While genome-wide associations studies (GWAS) have successfully elucidated the genetic architecture of complex human traits and diseases, understanding mechanisms that lead from genetic variation to pathophysiology remains an important challenge. Methods are needed to systematically bridge this crucial gap to facilitate experimental testing of hypotheses and translation to clinical utility.Results
Here, we leveraged cross-phenotype associations to identify traits with shared genetic architecture, using linkage disequilibrium (LD) information to accurately capture shared SNPs by proxy, and calculate significance of enrichment. This shared genetic architecture was examined across differing biological scales through incorporating data from catalogs of clinical, cellular, and molecular GWAS. We have created an interactive web database (interactive Cross-Phenotype Analysis of GWAS database (iCPAGdb)) to facilitate exploration and allow rapid analysis of user-uploaded GWAS summary statistics. This database revealed well-known relationships among phenotypes, as well as the generation of novel hypotheses to explain the pathophysiology of common diseases. Application of iCPAGdb to a recent GWAS of severe COVID-19 demonstrated unexpected overlap of GWAS signals between COVID-19 and human diseases, including with idiopathic pulmonary fibrosis driven by the DPP9 locus. Transcriptomics from peripheral blood of COVID-19 patients demonstrated that DPP9 was induced in SARS-CoV-2 compared to healthy controls or those with bacterial infection. Further investigation of cross-phenotype SNPs associated with both severe COVID-19 and other human traits demonstrated colocalization of the GWAS signal at the ABO locus with plasma protein levels of a reported receptor of SARS-CoV-2, CD209 (DC-SIGN). This finding points to a possible mechanism whereby glycosylation of CD209 by ABO may regulate COVID-19 disease severity.Conclusions
Thus, connecting genetically related traits across phenotypic scales links human diseases to molecular and cellular measurements that can reveal mechanisms and lead to novel biomarkers and therapeutic approaches. The iCPAGdb web portal is accessible at http://cpag.oit.duke.edu and the software code at https://github.com/tbalmat/iCPAGdb .Item Open Access An Atlas of Genetic Variation Linking Pathogen-Induced Cellular Traits to Human Disease.(Cell host & microbe, 2018-08) Wang, Liuyang; Pittman, Kelly J; Barker, Jeffrey R; Salinas, Raul E; Stanaway, Ian B; Williams, Graham D; Carroll, Robert J; Balmat, Tom; Ingham, Andy; Gopalakrishnan, Anusha M; Gibbs, Kyle D; Antonia, Alejandro L; eMERGE Network; Heitman, Joseph; Lee, Soo Chan; Jarvik, Gail P; Denny, Joshua C; Horner, Stacy M; DeLong, Mark R; Valdivia, Raphael H; Crosslin, David R; Ko, Dennis CPathogens have been a strong driving force for natural selection. Therefore, understanding how human genetic differences impact infection-related cellular traits can mechanistically link genetic variation to disease susceptibility. Here we report the Hi-HOST Phenome Project (H2P2): a catalog of cellular genome-wide association studies (GWAS) comprising 79 infection-related phenotypes in response to 8 pathogens in 528 lymphoblastoid cell lines. Seventeen loci surpass genome-wide significance for infection-associated phenotypes ranging from pathogen replication to cytokine production. We combined H2P2 with clinical association data from patients to identify a SNP near CXCL10 as a risk factor for inflammatory bowel disease. A SNP in the transcriptional repressor ZBTB20 demonstrated pleiotropy, likely through suppression of multiple target genes, and was associated with viral hepatitis. These data are available on a web portal to facilitate interpreting human genome variation through the lens of cell biology and should serve as a rich resource for the research community.Item Unknown An epigenome-wide association study of posttraumatic stress disorder in US veterans implicates several new DNA methylation loci.(Clinical epigenetics, 2020-03) Logue, Mark W; Miller, Mark W; Wolf, Erika J; Huber, Bertrand Russ; Morrison, Filomene G; Zhou, Zhenwei; Zheng, Yuanchao; Smith, Alicia K; Daskalakis, Nikolaos P; Ratanatharathorn, Andrew; Uddin, Monica; Nievergelt, Caroline M; Ashley-Koch, Allison E; Baker, Dewleen G; Beckham, Jean C; Garrett, Melanie E; Boks, Marco P; Geuze, Elbert; Grant, Gerald A; Hauser, Michael A; Kessler, Ronald C; Kimbrel, Nathan A; Maihofer, Adam X; Marx, Christine E; Qin, Xue-Jun; Risbrough, Victoria B; Rutten, Bart PF; Stein, Murray B; Ursano, Robert J; Vermetten, Eric; Vinkers, Christiaan H; Ware, Erin B; Stone, Annjanette; Schichman, Steven A; McGlinchey, Regina E; Milberg, William P; Hayes, Jasmeet P; Verfaellie, Mieke; Traumatic Stress Brain Study GroupBackground
Previous studies using candidate gene and genome-wide approaches have identified epigenetic changes in DNA methylation (DNAm) associated with posttraumatic stress disorder (PTSD).Methods
In this study, we performed an EWAS of PTSD in a cohort of Veterans (n = 378 lifetime PTSD cases and 135 controls) from the Translational Research Center for TBI and Stress Disorders (TRACTS) cohort assessed using the Illumina EPIC Methylation BeadChip which assesses DNAm at more than 850,000 sites throughout the genome. Our model included covariates for ancestry, cell heterogeneity, sex, age, and a smoking score based on DNAm at 39 smoking-associated CpGs. We also examined in EPIC-based DNAm data generated from pre-frontal cortex (PFC) tissue from the National PTSD Brain Bank (n = 72).Results
The analysis of blood samples yielded one genome-wide significant association with PTSD at cg19534438 in the gene G0S2 (p = 1.19 × 10-7, padj = 0.048). This association was replicated in an independent PGC-PTSD-EWAS consortium meta-analysis of military cohorts (p = 0.0024). We also observed association with the smoking-related locus cg05575921 in AHRR despite inclusion of a methylation-based smoking score covariate (p = 9.16 × 10-6), which replicates a previously observed PGC-PTSD-EWAS association (Smith et al. 2019), and yields evidence consistent with a smoking-independent effect. The top 100 EWAS loci were then examined in the PFC data. One of the blood-based PTSD loci, cg04130728 in CHST11, which was in the top 10 loci in blood, but which was not genome-wide significant, was significantly associated with PTSD in brain tissue (in blood p = 1.19 × 10-5, padj = 0.60, in brain, p = 0.00032 with the same direction of effect). Gene set enrichment analysis of the top 500 EWAS loci yielded several significant overlapping GO terms involved in pathogen response, including "Response to lipopolysaccharide" (p = 6.97 × 10-6, padj = 0.042).Conclusions
The cross replication observed in independent cohorts is evidence that DNA methylation in peripheral tissue can yield consistent and replicable PTSD associations, and our results also suggest that that some PTSD associations observed in peripheral tissue may mirror associations in the brain.Item Unknown An intron variant of the GLI family zinc finger 3 (GLI3) gene differentiates resistance training-induced muscle fiber hypertrophy in younger men.(FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2021-05) Vann, Christopher G; Morton, Robert W; Mobley, Christopher B; Vechetti, Ivan J; Ferguson, Brian K; Haun, Cody T; Osburn, Shelby C; Sexton, Casey L; Fox, Carlton D; Romero, Matthew A; Roberson, Paul A; Oikawa, Sara Y; McGlory, Chris; Young, Kaelin C; McCarthy, John J; Phillips, Stuart M; Roberts, Michael DWe examined the association between genotype and resistance training-induced changes (12 wk) in dual x-ray energy absorptiometry (DXA)-derived lean soft tissue mass (LSTM) as well as muscle fiber cross-sectional area (fCSA; vastus lateralis; n = 109; age = 22 ± 2 y, BMI = 24.7 ± 3.1 kg/m2 ). Over 315 000 genetic polymorphisms were interrogated from muscle using DNA microarrays. First, a targeted investigation was performed where single nucleotide polymorphisms (SNP) identified from a systematic literature review were related to changes in LSTM and fCSA. Next, genome-wide association (GWA) studies were performed to reveal associations between novel SNP targets with pre- to post-training change scores in mean fCSA and LSTM. Our targeted investigation revealed no genotype-by-time interactions for 12 common polymorphisms regarding the change in mean fCSA or change in LSTM. Our first GWA study indicated no SNP were associated with the change in LSTM. However, the second GWA study indicated two SNP exceeded the significance level with the change in mean fCSA (P = 6.9 × 10-7 for rs4675569, 1.7 × 10-6 for rs10263647). While the former target is not annotated (chr2:205936846 (GRCh38.p12)), the latter target (chr7:41971865 (GRCh38.p12)) is an intron variant of the GLI Family Zinc Finger 3 (GLI3) gene. Follow-up analyses indicated fCSA increases were greater in the T/C and C/C GLI3 genotypes than the T/T GLI3 genotype (P < .05). Data from the Auburn cohort also revealed participants with the T/C and C/C genotypes exhibited increases in satellite cell number with training (P < .05), whereas T/T participants did not. Additionally, those with the T/C and C/C genotypes achieved myonuclear addition in response to training (P < .05), whereas the T/T participants did not. In summary, this is the first GWA study to examine how polymorphisms associate with the change in hypertrophy measures following resistance training. Future studies are needed to determine if the GLI3 variant differentiates hypertrophic responses to resistance training given the potential link between this gene and satellite cell physiology.Item Unknown Association between novel PLCE1 variants identified in published esophageal cancer genome-wide association studies and risk of squamous cell carcinoma of the head and neck.(BMC cancer, 2011-06-20) Ma, Hongxia; Wang, Li-E; Liu, Zhensheng; Sturgis, Erich M; Wei, QingyiPhospholipase C epsilon 1 (PLCE1) (an effector of Ras) belonging to the phospholipase family plays crucial roles in carcinogenesis and progression of several cancers, including squamous cell carcinoma of the head and neck (SCCHN). A single nucleotide polymorphism (SNP, rs2274223) in PLCE1 has been identified as a novel susceptibility locus in genome-wide association studies (GWAS) of esophageal squamous cell carcinoma (ESCC) and gastric cardia adenocarcinoma (GCA) that share similar risk factors with SCCHN. Therefore, we investigated the association between potentially functional SNPs in PLCE1 and susceptibility to SCCHN.We genotyped three potentially functional SNPs (rs2274223A/G, rs3203713A/G and rs11599672T/G) of PLCE1 in 1,098 SCCHN patients and 1,090 controls matched by age and sex in a non-Hispanic white population.Although none of three SNPs was alone significantly associated with overall risk of SCCHN, their combined effects of risk alleles (rs2274223G, rs3203713G and rs11599672G) were found to be associated with risk of SCCHN in a locus-dose effect manner (Ptrend=0.046), particularly for non-oropharyngeal tumors (Ptrend=0.017); specifically, rs2274223 was associated with a significantly increased risk (AG vs. AA: adjusted OR=1.29, 95% CI=1.01-1.64; AG/GG vs. AA: adjusted OR=1.30, 95% CI=1.03-1.64), while rs11599672 was associated with a significantly decreased risk (GG vs. TT: adjusted OR=0.54, 95% CI=0.34-0.86; TG/GG vs. TT: adjusted OR=0.76, 95% CI=0.61-0.95).Our findings suggest that PLCE1 variants may have an effect on risk of SCCHN associated with tobacco and alcohol exposure, particularly for those tumors arising at non-oropharyngeal sites. These findings, although need to be validated by larger studies, are consistent with those in esophageal and gastric cancers.Item Unknown Associations between genetic variants in mRNA splicing-related genes and risk of lung cancer: a pathway-based analysis from published GWASs.(Scientific reports, 2017-03-17) Pan, Yongchu; Liu, Hongliang; Wang, Yanru; Kang, Xiaozheng; Liu, Zhensheng; Owzar, Kouros; Han, Younghun; Su, Li; Wei, Yongyue; Hung, Rayjean J; Brhane, Yonathan; McLaughlin, John; Brennan, Paul; Bickeböller, Heike; Rosenberger, Albert; Houlston, Richard S; Caporaso, Neil; Teresa Landi, Maria; Heinrich, Joachim; Risch, Angela; Wu, Xifeng; Ye, Yuanqing; Christiani, David C; Amos, Christopher I; Wei, QingyimRNA splicing is an important mechanism to regulate mRNA expression. Abnormal regulation of this process may lead to lung cancer. Here, we investigated the associations of 11,966 single-nucleotide polymorphisms (SNPs) in 206 mRNA splicing-related genes with lung cancer risk by using the summary data from six published genome-wide association studies (GWASs) of Transdisciplinary Research in Cancer of the Lung (TRICL) (12,160 cases and 16,838 controls) and another two lung cancer GWASs of Harvard University (984 cases and 970 controls) and deCODE (1,319 cases and 26,380 controls). We found that a total of 12 significant SNPs with false discovery rate (FDR) ≤0.05 were mapped to one novel gene PRPF6 and two previously reported genes (DHX16 and LSM2) that were also confirmed in this study. The six novel SNPs in PRPF6 were in high linkage disequilibrium and associated with PRPF6 mRNA expression in lymphoblastoid cells from 373 Europeans in the 1000 Genomes Project. Taken together, our studies shed new light on the role of mRNA splicing genes in the development of lung cancer.Item Unknown Beyond QTL cloning.(PLoS Genet, 2010-11-11) Anderson, Jill T; Mitchell-Olds, ThomasItem Unknown Birth Cohort, Age, and Sex Strongly Modulate Effects of Lipid Risk Alleles Identified in Genome-Wide Association Studies.(PLoS One, 2015) Kulminski, Alexander M; Culminskaya, Irina; Arbeev, Konstantin G; Arbeeva, Liubov; Ukraintseva, Svetlana V; Stallard, Eric; Wu, Deqing; Yashin, Anatoliy IInsights into genetic origin of diseases and related traits could substantially impact strategies for improving human health. The results of genome-wide association studies (GWAS) are often positioned as discoveries of unconditional risk alleles of complex health traits. We re-analyzed the associations of single nucleotide polymorphisms (SNPs) associated with total cholesterol (TC) in a large-scale GWAS meta-analysis. We focused on three generations of genotyped participants of the Framingham Heart Study (FHS). We show that the effects of all ten directly-genotyped SNPs were clustered in different FHS generations and/or birth cohorts in a sex-specific or sex-unspecific manner. The sample size and procedure-therapeutic issues play, at most, a minor role in this clustering. An important result was clustering of significant associations with the strongest effects in the youngest, or 3rd Generation, cohort. These results imply that an assumption of unconditional connections of these SNPs with TC is generally implausible and that a demographic perspective can substantially improve GWAS efficiency. The analyses of genetic effects in age-matched samples suggest a role of environmental and age-related mechanisms in the associations of different SNPs with TC. Analysis of the literature supports systemic roles for genes for these SNPs beyond those related to lipid metabolism. Our analyses reveal strong antagonistic effects of rs2479409 (the PCSK9 gene) that cautions strategies aimed at targeting this gene in the next generation of lipid drugs. Our results suggest that standard GWAS strategies need to be advanced in order to appropriately address the problem of genetic susceptibility to complex traits that is imperative for translation to health care.Item Unknown COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets.(Nature, 2021-07) Delorey, Toni M; Ziegler, Carly GK; Heimberg, Graham; Normand, Rachelly; Yang, Yiming; Segerstolpe, Åsa; Abbondanza, Domenic; Fleming, Stephen J; Subramanian, Ayshwarya; Montoro, Daniel T; Jagadeesh, Karthik A; Dey, Kushal K; Sen, Pritha; Slyper, Michal; Pita-Juárez, Yered H; Phillips, Devan; Biermann, Jana; Bloom-Ackermann, Zohar; Barkas, Nikolaos; Ganna, Andrea; Gomez, James; Melms, Johannes C; Katsyv, Igor; Normandin, Erica; Naderi, Pourya; Popov, Yury V; Raju, Siddharth S; Niezen, Sebastian; Tsai, Linus T-Y; Siddle, Katherine J; Sud, Malika; Tran, Victoria M; Vellarikkal, Shamsudheen K; Wang, Yiping; Amir-Zilberstein, Liat; Atri, Deepak S; Beechem, Joseph; Brook, Olga R; Chen, Jonathan; Divakar, Prajan; Dorceus, Phylicia; Engreitz, Jesse M; Essene, Adam; Fitzgerald, Donna M; Fropf, Robin; Gazal, Steven; Gould, Joshua; Grzyb, John; Harvey, Tyler; Hecht, Jonathan; Hether, Tyler; Jané-Valbuena, Judit; Leney-Greene, Michael; Ma, Hui; McCabe, Cristin; McLoughlin, Daniel E; Miller, Eric M; Muus, Christoph; Niemi, Mari; Padera, Robert; Pan, Liuliu; Pant, Deepti; Pe'er, Carmel; Pfiffner-Borges, Jenna; Pinto, Christopher J; Plaisted, Jacob; Reeves, Jason; Ross, Marty; Rudy, Melissa; Rueckert, Erroll H; Siciliano, Michelle; Sturm, Alexander; Todres, Ellen; Waghray, Avinash; Warren, Sarah; Zhang, Shuting; Zollinger, Daniel R; Cosimi, Lisa; Gupta, Rajat M; Hacohen, Nir; Hibshoosh, Hanina; Hide, Winston; Price, Alkes L; Rajagopal, Jayaraj; Tata, Purushothama Rao; Riedel, Stefan; Szabo, Gyongyi; Tickle, Timothy L; Ellinor, Patrick T; Hung, Deborah; Sabeti, Pardis C; Novak, Richard; Rogers, Robert; Ingber, Donald E; Jiang, Z Gordon; Juric, Dejan; Babadi, Mehrtash; Farhi, Samouil L; Izar, Benjamin; Stone, James R; Vlachos, Ioannis S; Solomon, Isaac H; Ashenberg, Orr; Porter, Caroline BM; Li, Bo; Shalek, Alex K; Villani, Alexandra-Chloé; Rozenblatt-Rosen, Orit; Regev, AvivCOVID-19, which is caused by SARS-CoV-2, can result in acute respiratory distress syndrome and multiple organ failure1-4, but little is known about its pathophysiology. Here we generated single-cell atlases of 24 lung, 16 kidney, 16 liver and 19 heart autopsy tissue samples and spatial atlases of 14 lung samples from donors who died of COVID-19. Integrated computational analysis uncovered substantial remodelling in the lung epithelial, immune and stromal compartments, with evidence of multiple paths of failed tissue regeneration, including defective alveolar type 2 differentiation and expansion of fibroblasts and putative TP63+ intrapulmonary basal-like progenitor cells. Viral RNAs were enriched in mononuclear phagocytic and endothelial lung cells, which induced specific host programs. Spatial analysis in lung distinguished inflammatory host responses in lung regions with and without viral RNA. Analysis of the other tissue atlases showed transcriptional alterations in multiple cell types in heart tissue from donors with COVID-19, and mapped cell types and genes implicated with disease severity based on COVID-19 genome-wide association studies. Our foundational dataset elucidates the biological effect of severe SARS-CoV-2 infection across the body, a key step towards new treatments.Item Unknown CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation.(Genome Biol, 2015-09-15) Wang, L; Oehlers, SH; Espenschied, ST; Rawls, JF; Tobin, DM; Ko, DCMeta-analyses of genome-wide association studies (GWAS) have demonstrated that the same genetic variants can be associated with multiple diseases and other complex traits. We present software called CPAG (Cross-Phenotype Analysis of GWAS) to look for similarities between 700 traits, build trees with informative clusters, and highlight underlying pathways. Clusters are consistent with pre-defined groups and literature-based validation but also reveal novel connections. We report similarity between plasma palmitoleic acid and Crohn's disease and find that specific fatty acids exacerbate enterocolitis in zebrafish. CPAG will become increasingly powerful as more genetic variants are uncovered, leading to a deeper understanding of complex traits. CPAG is freely available at www.sourceforge.net/projects/CPAG/.Item Unknown Design, recruitment, logistics, and data management of the GEHA (Genetics of Healthy Ageing) project.(Exp Gerontol, 2011-11) Skytthe, A; Valensin, S; Jeune, B; Cevenini, E; Balard, F; Beekman, M; Bezrukov, V; Blanche, H; Bolund, L; Broczek, K; Carru, C; Christensen, K; Christiansen, L; Collerton, JC; Cotichini, R; de Craen, AJM; Dato, S; Davies, K; De Benedictis, G; Deiana, L; Flachsbart, F; Gampe, J; Gilbault, C; Gonos, ES; Haimes, E; Hervonen, A; Hurme, MA; Janiszewska, D; Jylhä, M; Kirkwood, TBL; Kristensen, P; Laiho, P; Leon, A; Marchisio, A; Masciulli, R; Nebel, A; Passarino, G; Pelicci, G; Peltonen, L; Perola, M; Poulain, M; Rea, IM; Remacle, J; Robine, JM; Schreiber, S; Scurti, M; Sevini, F; Sikora, E; Skouteri, A; Slagboom, PE; Spazzafumo, L; Stazi, MA; Toccaceli, V; Toussaint, O; Törnwall, O; Vaupel, JW; Voutetakis, K; Franceschi, C; GEHA consortiumIn 2004, the integrated European project GEHA (Genetics of Healthy Ageing) was initiated with the aim of identifying genes involved in healthy ageing and longevity. The first step in the project was the recruitment of more than 2500 pairs of siblings aged 90 years or more together with one younger control person from 15 areas in 11 European countries through a coordinated and standardised effort. A biological sample, preferably a blood sample, was collected from each participant, and basic physical and cognitive measures were obtained together with information about health, life style, and family composition. From 2004 to 2008 a total of 2535 families comprising 5319 nonagenarian siblings were identified and included in the project. In addition, 2548 younger control persons aged 50-75 years were recruited. A total of 2249 complete trios with blood samples from at least two old siblings and the younger control were formed and are available for genetic analyses (e.g. linkage studies and genome-wide association studies). Mortality follow-up improves the possibility of identifying families with the most extreme longevity phenotypes. With a mean follow-up time of 3.7 years the number of families with all participating siblings aged 95 years or more has increased by a factor of 5 to 750 families compared to when interviews were conducted. Thus, the GEHA project represents a unique source in the search for genes related to healthy ageing and longevity.Item Unknown Detectable clonal mosaicism from birth to old age and its relationship to cancer.(Nature genetics, 2012-05-06) Laurie, Cathy C; Laurie, Cecelia A; Rice, Kenneth; Doheny, Kimberly F; Zelnick, Leila R; McHugh, Caitlin P; Ling, Hua; Hetrick, Kurt N; Pugh, Elizabeth W; Amos, Chris; Wei, Qingyi; Wang, Li-e; Lee, Jeffrey E; Barnes, Kathleen C; Hansel, Nadia N; Mathias, Rasika; Daley, Denise; Beaty, Terri H; Scott, Alan F; Ruczinski, Ingo; Scharpf, Rob B; Bierut, Laura J; Hartz, Sarah M; Landi, Maria Teresa; Freedman, Neal D; Goldin, Lynn R; Ginsburg, David; Li, Jun; Desch, Karl C; Strom, Sara S; Blot, William J; Signorello, Lisa B; Ingles, Sue A; Chanock, Stephen J; Berndt, Sonja I; Le Marchand, Loic; Henderson, Brian E; Monroe, Kristine R; Heit, John A; de Andrade, Mariza; Armasu, Sebastian M; Regnier, Cynthia; Lowe, William L; Hayes, M Geoffrey; Marazita, Mary L; Feingold, Eleanor; Murray, Jeffrey C; Melbye, Mads; Feenstra, Bjarke; Kang, Jae H; Wiggs, Janey L; Jarvik, Gail P; McDavid, Andrew N; Seshan, Venkatraman E; Mirel, Daniel B; Crenshaw, Andrew; Sharopova, Nataliya; Wise, Anastasia; Shen, Jess; Crosslin, David R; Levine, David M; Zheng, Xiuwen; Udren, Jenna I; Bennett, Siiri; Nelson, Sarah C; Gogarten, Stephanie M; Conomos, Matthew P; Heagerty, Patrick; Manolio, Teri; Pasquale, Louis R; Haiman, Christopher A; Caporaso, Neil; Weir, Bruce SWe detected clonal mosaicism for large chromosomal anomalies (duplications, deletions and uniparental disomy) using SNP microarray data from over 50,000 subjects recruited for genome-wide association studies. This detection method requires a relatively high frequency of cells with the same abnormal karyotype (>5-10%; presumably of clonal origin) in the presence of normal cells. The frequency of detectable clonal mosaicism in peripheral blood is low (<0.5%) from birth until 50 years of age, after which it rapidly rises to 2-3% in the elderly. Many of the mosaic anomalies are characteristic of those found in hematological cancers and identify common deleted regions with genes previously associated with these cancers. Although only 3% of subjects with detectable clonal mosaicism had any record of hematological cancer before DNA sampling, those without a previous diagnosis have an estimated tenfold higher risk of a subsequent hematological cancer (95% confidence interval = 6-18).