190 results on '"Kimberly, Robert P"'
Search Results
2. Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes
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Robertson, Catherine C, Inshaw, Jamie RJ, Onengut-Gumuscu, Suna, Chen, Wei-Min, Santa Cruz, David Flores, Yang, Hanzhi, Cutler, Antony J, Crouch, Daniel JM, Farber, Emily, Bridges, S Louis, Edberg, Jeffrey C, Kimberly, Robert P, Buckner, Jane H, Deloukas, Panos, Divers, Jasmin, Dabelea, Dana, Lawrence, Jean M, Marcovina, Santica, Shah, Amy S, Greenbaum, Carla J, Atkinson, Mark A, Gregersen, Peter K, Oksenberg, Jorge R, Pociot, Flemming, Rewers, Marian J, Steck, Andrea K, Dunger, David B, Wicker, Linda S, Concannon, Patrick, Todd, John A, and Rich, Stephen S
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Pediatric ,Biotechnology ,Human Genome ,Diabetes ,Genetics ,Autoimmune Disease ,2.1 Biological and endogenous factors ,Aetiology ,Metabolic and endocrine ,Alleles ,Autoimmunity ,CD4-Positive T-Lymphocytes ,Chromosome Mapping ,Diabetes Mellitus ,Type 1 ,Drug Discovery ,Gene Expression ,Genetic Predisposition to Disease ,Genetic Variation ,Genomics ,Humans ,Molecular Targeted Therapy ,Protein Interaction Mapping ,Type 1 Diabetes Genetics Consortium ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
We report the largest and most diverse genetic study of type 1 diabetes (T1D) to date (61,427 participants), yielding 78 genome-wide-significant (P
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- 2021
3. Complement genes contribute sex-biased vulnerability in diverse disorders.
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Kamitaki, Nolan, Sekar, Aswin, Handsaker, Robert E, de Rivera, Heather, Tooley, Katherine, Morris, David L, Taylor, Kimberly E, Whelan, Christopher W, Tombleson, Philip, Loohuis, Loes M Olde, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Boehnke, Michael, Kimberly, Robert P, Kaufman, Kenneth M, Harley, John B, Langefeld, Carl D, Seidman, Christine E, Pato, Michele T, Pato, Carlos N, Ophoff, Roel A, Graham, Robert R, Criswell, Lindsey A, Vyse, Timothy J, and McCarroll, Steven A
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Schizophrenia Working Group of the Psychiatric Genomics Consortium ,Humans ,Sjogren's Syndrome ,Lupus Erythematosus ,Systemic ,Genetic Predisposition to Disease ,HLA Antigens ,Major Histocompatibility Complex ,Sex Characteristics ,Haplotypes ,Alleles ,Adult ,Middle Aged ,Complement C3 ,Complement C4 ,Female ,Male ,Young Adult ,Lupus ,Brain Disorders ,Schizophrenia ,Biotechnology ,Genetics ,Mental Health ,Autoimmune Disease ,2.1 Biological and endogenous factors ,Inflammatory and immune system ,General Science & Technology - Abstract
Many common illnesses, for reasons that have not been identified, differentially affect men and women. For instance, the autoimmune diseases systemic lupus erythematosus (SLE) and Sjögren's syndrome affect nine times more women than men1, whereas schizophrenia affects men with greater frequency and severity relative to women2. All three illnesses have their strongest common genetic associations in the major histocompatibility complex (MHC) locus, an association that in SLE and Sjögren's syndrome has long been thought to arise from alleles of the human leukocyte antigen (HLA) genes at that locus3-6. Here we show that variation of the complement component 4 (C4) genes C4A and C4B, which are also at the MHC locus and have been linked to increased risk for schizophrenia7, generates 7-fold variation in risk for SLE and 16-fold variation in risk for Sjögren's syndrome among individuals with common C4 genotypes, with C4A protecting more strongly than C4B in both illnesses. The same alleles that increase risk for schizophrenia greatly reduce risk for SLE and Sjögren's syndrome. In all three illnesses, C4 alleles act more strongly in men than in women: common combinations of C4A and C4B generated 14-fold variation in risk for SLE, 31-fold variation in risk for Sjögren's syndrome, and 1.7-fold variation in schizophrenia risk among men (versus 6-fold, 15-fold and 1.26-fold variation in risk among women, respectively). At a protein level, both C4 and its effector C3 were present at higher levels in cerebrospinal fluid and plasma8,9 in men than in women among adults aged between 20 and 50 years, corresponding to the ages of differential disease vulnerability. Sex differences in complement protein levels may help to explain the more potent effects of C4 alleles in men, women's greater risk of SLE and Sjögren's syndrome and men's greater vulnerability to schizophrenia. These results implicate the complement system as a source of sexual dimorphism in vulnerability to diverse illnesses.
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- 2020
4. Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis
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Ishigaki, Kazuyoshi, Sakaue, Saori, Terao, Chikashi, Luo, Yang, Sonehara, Kyuto, Yamaguchi, Kensuke, Amariuta, Tiffany, Too, Chun Lai, Laufer, Vincent A., Scott, Ian C., Viatte, Sebastien, Takahashi, Meiko, Ohmura, Koichiro, Murasawa, Akira, Hashimoto, Motomu, Ito, Hiromu, Hammoudeh, Mohammed, Emadi, Samar Al, Masri, Basel K., Halabi, Hussein, Badsha, Humeira, Uthman, Imad W., Wu, Xin, Lin, Li, Li, Ting, Plant, Darren, Barton, Anne, Orozco, Gisela, Verstappen, Suzanne M. M., Bowes, John, MacGregor, Alexander J., Honda, Suguru, Koido, Masaru, Tomizuka, Kohei, Kamatani, Yoichiro, Tanaka, Hiroaki, Tanaka, Eiichi, Suzuki, Akari, Maeda, Yuichi, Yamamoto, Kenichi, Miyawaki, Satoru, Xie, Gang, Zhang, Jinyi, Amos, Christopher I., Keystone, Edward, Wolbink, Gertjan, van der Horst-Bruinsma, Irene, Cui, Jing, Liao, Katherine P., Carroll, Robert J., Lee, Hye-Soon, Bang, So-Young, Siminovitch, Katherine A., de Vries, Niek, Alfredsson, Lars, Rantapää-Dahlqvist, Solbritt, Karlson, Elizabeth W., Bae, Sang-Cheol, Kimberly, Robert P., Edberg, Jeffrey C., Mariette, Xavier, Huizinga, Tom, Dieudé, Philippe, Schneider, Matthias, Kerick, Martin, Denny, Joshua C., Matsuda, Koichi, Matsuo, Keitaro, Mimori, Tsuneyo, Matsuda, Fumihiko, Fujio, Keishi, Tanaka, Yoshiya, Kumanogoh, Atsushi, Traylor, Matthew, Lewis, Cathryn M., Eyre, Stephen, Xu, Huji, Saxena, Richa, Arayssi, Thurayya, Kochi, Yuta, Ikari, Katsunori, Harigai, Masayoshi, Gregersen, Peter K., Yamamoto, Kazuhiko, Louis Bridges, Jr, S., Padyukov, Leonid, Martin, Javier, Klareskog, Lars, Okada, Yukinori, and Raychaudhuri, Soumya
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- 2022
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5. Individualized decision aid for diverse women with lupus nephritis (IDEA-WON): A randomized controlled trial.
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Singh, Jasvinder A, Fraenkel, Liana, Green, Candace, Alarcón, Graciela S, Barton, Jennifer L, Saag, Kenneth G, Hanrahan, Leslie M, Raymond, Sandra C, Kimberly, Robert P, Leong, Amye L, Reyes, Elyse, Street, Richard L, Suarez-Almazor, Maria E, Eakin, Guy S, Marrow, Laura, Morgan, Charity J, Caro, Brennda, Sloan, Jeffrey A, Jandali, Bochra, Garcia, Salvador R, Grossman, Jennifer, Winthrop, Kevin L, Trupin, Laura, Dall'Era, Maria, Meara, Alexa, Rizvi, Tara, Chatham, W Winn, and Yazdany, Jinoos
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Humans ,Lupus Nephritis ,Immunosuppressive Agents ,Treatment Outcome ,Health Knowledge ,Attitudes ,Practice ,Choice Behavior ,Decision Support Techniques ,Pamphlets ,Adult ,Middle Aged ,Patient Participation ,United States ,Female ,Patient Education as Topic ,Health Literacy ,Health Knowledge ,Attitudes ,Practice ,General & Internal Medicine ,Medical and Health Sciences - Abstract
BackgroundTreatment decision-making regarding immunosuppressive therapy is challenging for individuals with lupus. We assessed the effectiveness of a decision aid for immunosuppressive therapy in lupus nephritis.Methods and findingsIn a United States multicenter, open-label, randomized controlled trial (RCT), adult women with lupus nephritis, mostly from racial/ethnic minority backgrounds with low socioeconomic status (SES), seen in in- or outpatient settings, were randomized to an individualized, culturally tailored, computerized decision aid versus American College of Rheumatology (ACR) lupus pamphlet (1:1 ratio), using computer-generated randomization. We hypothesized that the co-primary outcomes of decisional conflict and informed choice regarding immunosuppressive medications would improve more in the decision aid group. Of 301 randomized women, 298 were analyzed; 47% were African-American, 26% Hispanic, and 15% white. Mean age (standard deviation [SD]) was 37 (12) years, 57% had annual income of
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- 2019
6. Type 1 Diabetes Risk in African-Ancestry Participants and Utility of an Ancestry-Specific Genetic Risk Score
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Onengut-Gumuscu, Suna, Chen, Wei-Min, Robertson, Catherine C, Bonnie, Jessica K, Farber, Emily, Zhu, Zhennan, Oksenberg, Jorge R, Brant, Steven R, Bridges, S Louis, Edberg, Jeffrey C, Kimberly, Robert P, Gregersen, Peter K, Rewers, Marian J, Steck, Andrea K, Black, Mary H, Dabelea, Dana, Pihoker, Catherine, Atkinson, Mark A, Wagenknecht, Lynne E, Divers, Jasmin, Bell, Ronny A, Youth, SEARCH for Diabetes in, Consortium, Type 1 Diabetes Genetics, Erlich, Henry A, Concannon, Patrick, and Rich, Stephen S
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Biomedical and Clinical Sciences ,Genetics ,Diabetes ,Prevention ,Human Genome ,Clinical Research ,Autoimmune Disease ,Metabolic and endocrine ,Alleles ,Black People ,Case-Control Studies ,Diabetes Mellitus ,Type 1 ,Female ,Genetic Predisposition to Disease ,Genetic Testing ,Genome-Wide Association Study ,HLA-D Antigens ,HLA-DQ alpha-Chains ,HLA-DQ beta-Chains ,HLA-DRB1 Chains ,Haplotypes ,Humans ,Male ,Polymorphism ,Single Nucleotide ,Predictive Value of Tests ,Research Design ,Risk Factors ,White People ,SEARCH for Diabetes in Youth ,Type 1 Diabetes Genetics Consortium ,Medical and Health Sciences ,Endocrinology & Metabolism ,Biomedical and clinical sciences ,Health sciences - Abstract
ObjectiveGenetic risk scores (GRS) have been developed that differentiate individuals with type 1 diabetes from those with other forms of diabetes and are starting to be used for population screening; however, most studies were conducted in European-ancestry populations. This study identifies novel genetic variants associated with type 1 diabetes risk in African-ancestry participants and develops an African-specific GRS.Research design and methodsWe generated single nucleotide polymorphism (SNP) data with the ImmunoChip on 1,021 African-ancestry participants with type 1 diabetes and 2,928 control participants. HLA class I and class II alleles were imputed using SNP2HLA. Logistic regression models were used to identify genome-wide significant (P < 5.0 × 10-8) SNPs associated with type 1 diabetes in the African-ancestry samples and validate SNPs associated with risk in known European-ancestry loci (P < 2.79 × 10-5).ResultsAfrican-specific (HLA-DQA1*03:01-HLA-DQB1*02:01) and known European-ancestry HLA haplotypes (HLA-DRB1*03:01-HLA-DQA1*05:01-HLA-DQB1*02:01, HLA-DRB1*04:01-HLA-DQA1*03:01-HLA-DQB1*03:02) were significantly associated with type 1 diabetes risk. Among European-ancestry defined non-HLA risk loci, six risk loci were significantly associated with type 1 diabetes in subjects of African ancestry. An African-specific GRS provided strong prediction of type 1 diabetes risk (area under the curve 0.871), performing significantly better than a European-based GRS and two polygenic risk scores in independent discovery and validation cohorts.ConclusionsGenetic risk of type 1 diabetes includes ancestry-specific, disease-associated variants. The GRS developed here provides improved prediction of type 1 diabetes in African-ancestry subjects and a means to identify groups of individuals who would benefit from immune monitoring for early detection of islet autoimmunity.
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- 2019
7. Genetic associations of leptin-related polymorphisms with systemic lupus erythematosus
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Zhao, Jian, Wu, Hui, Langefeld, Carl D, Kaufman, Kenneth M, Kelly, Jennifer A, Bae, Sang-Cheol, networks, Marta E Alarcón-Riquelme for the BIOLUPUS and GENLES, Alarcón, Graciela S, Anaya, Juan-Manuel, Criswell, Lindsey A, Freedman, Barry I, Kamen, Diane L, Gilkeson, Gary S, Jacob, Chaim O, James, Judith A, Merrill, Joan T, Gaffney, Patrick M, Sivils, Kathy Moser, Niewold, Timothy B, Petri, Michelle A, Song, Seung Taek, Jeong, Hye-jin, Ramsey-Goldman, Rosalind, Reveille, John D, Scofield, R Hal, Stevens, Anne M, Boackle, Susan A, Vilá, Luis M, Chang, Deh-Ming, Song, Yeong Wook, Vyse, Timothy J, Harley, John B, Brown, Elizabeth E, Edberg, Jeffrey C, Kimberly, Robert P, Hahn, Bevra H, Grossman, Jennifer M, Tsao, Betty P, and La Cava, Antonio
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Biomedical and Clinical Sciences ,Immunology ,Clinical Research ,Autoimmune Disease ,Genetic Testing ,Genetics ,Lupus ,2.1 Biological and endogenous factors ,Aetiology ,Inflammatory and immune system ,Case-Control Studies ,Genetic Predisposition to Disease ,Genotype ,Humans ,Leptin ,Lupus Erythematosus ,Systemic ,Polymorphism ,Single Nucleotide ,Systemic lupus erythematosus ,Leptin pathway ,Gene polymorphisms ,Marta E. Alarcón-Riquelme for the BIOLUPUS and GENLES networks - Abstract
Leptin is abnormally elevated in the plasma of patients with systemic lupus erythematosus (SLE), where it is thought to promote and/or sustain pro-inflammatory responses. Whether this association could reflect an increased genetic susceptibility to develop SLE is not known, and studies of genetic associations with leptin-related polymorphisms in SLE patients have been so far inconclusive. Here we genotyped DNA samples from 15,706 SLE patients and healthy matched controls from four different ancestral groups, to correlate polymorphisms of genes of the leptin pathway to risk for SLE. It was found that although several SNPs showed weak associations, those associations did not remain significant after correction for multiple testing. These data do not support associations between defined leptin-related polymorphisms and increased susceptibility to develop SLE.
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- 2015
8. Characterization of Genetic Loci That Affect Susceptibility to Inflammatory Bowel Diseases in African Americans
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Huang, Chengrui, Haritunians, Talin, Okou, David T, Cutler, David J, Zwick, Michael E, Taylor, Kent D, Datta, Lisa W, Maranville, Joseph C, Liu, Zhenqiu, Ellis, Shannon, Chopra, Pankaj, Alexander, Jonathan S, Baldassano, Robert N, Cross, Raymond K, Dassopoulos, Themistocles, Dhere, Tanvi A, Duerr, Richard H, Hanson, John S, Hou, Jason K, Hussain, Sunny Z, Isaacs, Kim L, Kachelries, Kelly E, Kader, Howard, Kappelman, Michael D, Katz, Jeffrey, Kellermayer, Richard, Kirschner, Barbara S, Kuemmerle, John F, Kumar, Archana, Kwon, John H, Lazarev, Mark, Mannon, Peter, Moulton, Dedrick E, Osuntokun, Bankole O, Patel, Ashish, Rioux, John D, Rotter, Jerome I, Saeed, Shehzad, Scherl, Ellen J, Silverberg, Mark S, Silverman, Ann, Targan, Stephan R, Valentine, John F, Wang, Ming-Hsi, Simpson, Claire L, Bridges, S Louis, Kimberly, Robert P, Rich, Stephen S, Cho, Judy H, Di Rienzo, Anna, Kao, Linda WH, McGovern, Dermot PB, Brant, Steven R, and Kugathasan, Subra
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Genetics ,Clinical Research ,Crohn's Disease ,Digestive Diseases ,Inflammatory Bowel Disease ,Autoimmune Disease ,Aetiology ,2.1 Biological and endogenous factors ,Oral and gastrointestinal ,Good Health and Well Being ,Adult ,Black or African American ,Aged ,Colitis ,Ulcerative ,Crohn Disease ,Female ,Genetic Loci ,Genetic Predisposition to Disease ,Humans ,Inflammatory Bowel Diseases ,Male ,Middle Aged ,Polymorphism ,Single Nucleotide ,Risk Factors ,United States ,White People ,Young Adult ,Race ,Ethnicity ,Genetic Variant ,Intestinal Inflammation ,Clinical Sciences ,Neurosciences ,Paediatrics and Reproductive Medicine ,Gastroenterology & Hepatology - Abstract
Background & aimsInflammatory bowel disease (IBD) has familial aggregation in African Americans (AAs), but little is known about the molecular genetic susceptibility. Mapping studies using the Immunochip genotyping array expand the number of susceptibility loci for IBD in Caucasians to 163, but the contribution of the 163 loci and European admixture to IBD risk in AAs is unclear. We performed a genetic mapping study using the Immunochip to determine whether IBD susceptibility loci in Caucasians also affect risk in AAs and identify new associated loci.MethodsWe recruited AAs with IBD and without IBD (controls) from 34 IBD centers in the United States; additional controls were collected from 4 other Immunochip studies. Association and admixture loci were mapped for 1088 patients with Crohn's disease, 361 with ulcerative colitis, 62 with IBD type unknown, and 1797 controls; 130,241 autosomal single-nucleotide polymorphisms (SNPs) were analyzed.ResultsThe strongest associations were observed between ulcerative colitis and HLA rs9271366 (P = 7.5 × 10(-6)), Crohn's disease and 5p13.1 rs4286721 (P = 3.5 × 10(-6)), and IBD and KAT2A rs730086 (P = 2.3 × 10(-6)). Additional suggestive associations (P < 4.2 × 10(-5)) were observed between Crohn's disease and IBD and African-specific SNPs in STAT5A and STAT3; between IBD and SNPs in IL23R, IL12B, and C2orf43; and between ulcerative colitis and SNPs near HDAC11 and near LINC00994. The latter 3 loci have not been previously associated with IBD, but require replication. Established Caucasian associations were replicated in AAs (P < 3.1 × 10(-4)) at NOD2, IL23R, 5p15.3, and IKZF3. Significant admixture (P < 3.9 × 10(-4)) was observed for 17q12-17q21.31 (IZKF3 through STAT3), 10q11.23-10q21.2, 15q22.2-15q23, and 16p12.2-16p12.1. Network analyses showed significant enrichment (false discovery rate
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- 2015
9. Lupus Risk Variant Increases pSTAT1 Binding and Decreases ETS1 Expression
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Lu, Xiaoming, Zoller, Erin E, Weirauch, Matthew T, Wu, Zhiguo, Namjou, Bahram, Williams, Adrienne H, Ziegler, Julie T, Comeau, Mary E, Marion, Miranda C, Glenn, Stuart B, Adler, Adam, Shen, Nan, Nath, Swapan K, Stevens, Anne M, Freedman, Barry I, Tsao, Betty P, Jacob, Chaim O, Kamen, Diane L, Brown, Elizabeth E, Gilkeson, Gary S, Alarcón, Graciela S, Reveille, John D, Anaya, Juan-Manuel, James, Judith A, Sivils, Kathy L, Criswell, Lindsey A, Vilá, Luis M, Alarcón-Riquelme, Marta E, Petri, Michelle, Scofield, R Hal, Kimberly, Robert P, Ramsey-Goldman, Rosalind, Bin Joo, Young, Choi, Jeongim, Bae, Sang-Cheol, Boackle, Susan A, Graham, Deborah Cunninghame, Vyse, Timothy J, Guthridge, Joel M, Gaffney, Patrick M, Langefeld, Carl D, Kelly, Jennifer A, Greis, Kenneth D, Kaufman, Kenneth M, Harley, John B, and Kottyan, Leah C
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Biotechnology ,Lupus ,Autoimmune Disease ,Human Genome ,2.1 Biological and endogenous factors ,Aetiology ,Inflammatory and immune system ,Alleles ,Animals ,Asian People ,Bayes Theorem ,Genetic Predisposition to Disease ,Genotype ,Haplotypes ,Humans ,Lupus Erythematosus ,Systemic ,Mice ,Protein Binding ,Proto-Oncogene Protein c-ets-1 ,STAT1 Transcription Factor ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Genetic variants at chromosomal region 11q23.3, near the gene ETS1, have been associated with systemic lupus erythematosus (SLE), or lupus, in independent cohorts of Asian ancestry. Several recent studies have implicated ETS1 as a critical driver of immune cell function and differentiation, and mice deficient in ETS1 develop an SLE-like autoimmunity. We performed a fine-mapping study of 14,551 subjects from multi-ancestral cohorts by starting with genotyped variants and imputing to all common variants spanning ETS1. By constructing genetic models via frequentist and Bayesian association methods, we identified 16 variants that are statistically likely to be causal. We functionally assessed each of these variants on the basis of their likelihood of affecting transcription factor binding, miRNA binding, or chromatin state. Of the four variants that we experimentally examined, only rs6590330 differentially binds lysate from B cells. Using mass spectrometry, we found more binding of the transcription factor signal transducer and activator of transcription 1 (STAT1) to DNA near the risk allele of rs6590330 than near the non-risk allele. Immunoblot analysis and chromatin immunoprecipitation of pSTAT1 in B cells heterozygous for rs6590330 confirmed that the risk allele increased binding to the active form of STAT1. Analysis with expression quantitative trait loci indicated that the risk allele of rs6590330 is associated with decreased ETS1 expression in Han Chinese, but not other ancestral cohorts. We propose a model in which the risk allele of rs6590330 is associated with decreased ETS1 expression and increases SLE risk by enhancing the binding of pSTAT1.
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- 2015
10. The IRF5–TNPO3 association with systemic lupus erythematosus has two components that other autoimmune disorders variably share
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Kottyan, Leah C, Zoller, Erin E, Bene, Jessica, Lu, Xiaoming, Kelly, Jennifer A, Rupert, Andrew M, Lessard, Christopher J, Vaughn, Samuel E, Marion, Miranda, Weirauch, Matthew T, Namjou, Bahram, Adler, Adam, Rasmussen, Astrid, Glenn, Stuart, Montgomery, Courtney G, Hirschfield, Gideon M, Xie, Gang, Coltescu, Catalina, Amos, Chris, Li, He, Ice, John A, Nath, Swapan K, Mariette, Xavier, Bowman, Simon, Rischmueller, Maureen, Lester, Sue, Brun, Johan G, Gøransson, Lasse G, Harboe, Erna, Omdal, Roald, Cunninghame-Graham, Deborah S, Vyse, Tim, Miceli-Richard, Corinne, Brennan, Michael T, Lessard, James A, Wahren-Herlenius, Marie, Kvarnström, Marika, Illei, Gabor G, Witte, Torsten, Jonsson, Roland, Eriksson, Per, Nordmark, Gunnel, Ng, Wan-Fai, Anaya, Juan-Manuel, Rhodus, Nelson L, Segal, Barbara M, Merrill, Joan T, James, Judith A, Guthridge, Joel M, Scofield, R Hal, Alarcon-Riquelme, Marta, Bae, Sang-Cheol, Boackle, Susan A, Criswell, Lindsey A, Gilkeson, Gary, Kamen, Diane L, Jacob, Chaim O, Kimberly, Robert, Brown, Elizabeth, Edberg, Jeffrey, Alarcón, Graciela S, Reveille, John D, Vilá, Luis M, Petri, Michelle, Ramsey-Goldman, Rosalind, Freedman, Barry I, Niewold, Timothy, Stevens, Anne M, Tsao, Betty P, Ying, Jun, Mayes, Maureen D, Gorlova, Olga Y, Wakeland, Ward, Radstake, Timothy, Martin, Ezequiel, Martin, Javier, Siminovitch, Katherine, Sivils, Kathy L Moser, Gaffney, Patrick M, Langefeld, Carl D, Harley, John B, and Kaufman, Kenneth M
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Biological Sciences ,Genetics ,Autoimmune Disease ,Biotechnology ,Lupus ,Aetiology ,2.1 Biological and endogenous factors ,Inflammatory and immune system ,Autoimmune Diseases ,Bayes Theorem ,Case-Control Studies ,Cohort Studies ,DNA-Binding Proteins ,Haplotypes ,Humans ,Interferon Regulatory Factors ,Lupus Erythematosus ,Systemic ,Male ,Polymorphism ,Single Nucleotide ,Promoter Regions ,Genetic ,beta Karyopherins ,UK Primary Sjögren's Syndrome Registry ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Exploiting genotyping, DNA sequencing, imputation and trans-ancestral mapping, we used Bayesian and frequentist approaches to model the IRF5-TNPO3 locus association, now implicated in two immunotherapies and seven autoimmune diseases. Specifically, in systemic lupus erythematosus (SLE), we resolved separate associations in the IRF5 promoter (all ancestries) and with an extended European haplotype. We captured 3230 IRF5-TNPO3 high-quality, common variants across 5 ethnicities in 8395 SLE cases and 7367 controls. The genetic effect from the IRF5 promoter can be explained by any one of four variants in 5.7 kb (P-valuemeta = 6 × 10(-49); OR = 1.38-1.97). The second genetic effect spanned an 85.5-kb, 24-variant haplotype that included the genes IRF5 and TNPO3 (P-valuesEU = 10(-27)-10(-32), OR = 1.7-1.81). Many variants at the IRF5 locus with previously assigned biological function are not members of either final credible set of potential causal variants identified herein. In addition to the known biologically functional variants, we demonstrated that the risk allele of rs4728142, a variant in the promoter among the lowest frequentist probability and highest Bayesian posterior probability, was correlated with IRF5 expression and differentially binds the transcription factor ZBTB3. Our analytical strategy provides a novel framework for future studies aimed at dissecting etiological genetic effects. Finally, both SLE elements of the statistical model appear to operate in Sjögren's syndrome and systemic sclerosis whereas only the IRF5-TNPO3 gene-spanning haplotype is associated with primary biliary cirrhosis, demonstrating the nuance of similarity and difference in autoimmune disease risk mechanisms at IRF5-TNPO3.
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- 2015
11. Harmonized Multisite MRI‐Based Quantification of Human Liver Fat and Stiffness: A Pilot Study.
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Carmichael, Owen T., Singh, Maninder, Bashir, Adil, Russell, Anne M., Bolding, Mark, Redden, David T., Storrs, Judd, Willoughby, William R., Howard‐Claudio, Candace, Hsia, Daniel S., Kimberly, Robert P., Gray, Meagan E., Ravussin, Eric, and Denney, Thomas S.
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NON-alcoholic fatty liver disease ,NUCLEAR magnetic resonance spectroscopy ,MAGNETIC resonance imaging ,THREE-dimensional imaging ,LIVER - Abstract
Background: Nonalcoholic fatty liver disease (NAFLD) is a leading cause of end‐stage liver disease. NAFLD diagnosis and follow‐up relies on a combination of clinical data, liver imaging, and/or liver biopsy. However, intersite imaging differences impede diagnostic consistency and reduce the repeatability of the multisite clinical trials necessary to develop effective treatments. Purpose/Hypothesis: The goal of this pilot study was to harmonize commercially available 3 T magnetic resonance imaging (MRI) measurements of liver fat and stiffness in human participants across academic sites and MRI vendors. Study Type: Cohort. Subjects: Four community‐dwelling adults with obesity. Field strength/Sequence: 1.5 and 3 T, multiecho 3D imaging, PRESS, and GRE. Assessment: Harmonized proton density fat fraction (PDFF) and magnetic resonance spectroscopy (MRS) protocols were used to quantify the FF of synthetic phantoms and human participants with obesity using standard acquisition parameters at four sites that had four different 3 T MRI instruments. In addition, a harmonized magnetic resonance elastography (MRE) protocol was used to quantify liver stiffness among participants at two different sites at 1.5 and 3 T field strengths. Data were sent to a single data coordinating site for postprocessing. Statistical Tests: Linear regression in MATLAB, ICC analyses using SAS 9.4, one‐sided 95% confidence intervals for the ICC. Results: PDFF and MRS FF measurements were highly repeatable among sites in both humans and phantoms. MRE measurements of liver stiffness in three individuals at two sites using one 1.5 T and one 3 T instrument showed repeatability that was high although lower than that of MRS and PDFF. Conclusions: We demonstrated harmonization of PDFF, MRS, and MRE‐based quantification of liver fat and stiffness through synthetic phantoms, traveling participants, and standardization of postprocessing analysis. Multisite MRI harmonization could contribute to multisite clinical trials assessing the efficacy of interventions and therapy for NAFLD. Level of Evidence: 2 Technical Efficacy Stage: 2 [ABSTRACT FROM AUTHOR]
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- 2024
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12. Returning to Growth: One Academic Medical Center’s Successful Five-Step Approach to Change Management
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Vickers, Selwyn M., Agarwal, Anupam, Patel, Nisha, Benveniste, Etty N., Bulgarella, Dawn, Fouad, Mona N., Hoesley, Craig, Jones, Keith, Kimberly, Robert P., Rogers, David A., Larson, Jean Ann, Leeth, Toni R., Mack, LaKisha, Dorman, Paige, Furgerson, Tyler, Longshore, Jane, and Watts, Ray L.
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- 2021
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13. Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months
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Karkanitsa, Maria, primary, Li, Yan, additional, Valenti, Shannon, additional, Spathies, Jacquelyn, additional, Kelly, Sophie, additional, Hunsberger, Sally, additional, Yee, Laura, additional, Croker, Jennifer A., additional, Wang, Jing, additional, Alfonso, Andrea Lucia, additional, Faust, Mondreakest, additional, Mehalko, Jennifer, additional, Drew, Matthew, additional, Denson, John-Paul, additional, Putman, Zoe, additional, Fathi, Parinaz, additional, Ngo, Tran B., additional, Siripong, Nalyn, additional, Baus, Holly Ann, additional, Petersen, Brian, additional, Ford, Eric W., additional, Sundaresan, Vanathi, additional, Josyula, Aditya, additional, Han, Alison, additional, Giurgea, Luca T., additional, Rosas, Luz Angela, additional, Bean, Rachel, additional, Athota, Rani, additional, Czajkowski, Lindsay, additional, Klumpp-Thomas, Carleen, additional, Cervantes-Medina, Adriana, additional, Gouzoulis, Monica, additional, Reed, Susan, additional, Graubard, Barry, additional, Hall, Matthew D., additional, Kalish, Heather, additional, Esposito, Dominic, additional, Kimberly, Robert P., additional, Reis, Steven, additional, Sadtler, Kaitlyn, additional, and Memoli, Matthew J, additional
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- 2023
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14. Genetic variants at the 16p13 locus confer risk for eosinophilic esophagitis
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Kottyan, Leah C., Maddox, Avery, Braxton, Julian R., Stucke, Emily M., Mukkada, Vince, Putnam, Philip E., Abonia, J. Pablo, Chehade, Mirna, Wood, Robert A., Pesek, Robbie D., Vickery, Brian P., Furuta, Glenn T., Dawson, Peter, Sampson, Hugh A., Martin, Lisa J., Kelly, Jennifer A., Kimberly, Robert P., Sivils, Kathy, Gaffney, Patrick M., Kaufman, Kenneth, Harley, John B., and Rothenberg, Marc E.
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- 2019
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15. The Pittman Scholar Program for junior faculty recognition at the University of Alabama at Birmingham Heersink School of Medicine.
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Hurst, Cayla, Leeth, Toni R., Benveniste, Etty N., Kimberly, Robert P., Hoesley, Craig, Mack, LaKisha, Fouad, Mona N., Rogers, David A., Vickers, Selwyn M., and Agarwal, Anupam
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CAREER development ,TEACHER development ,UNIVERSITY faculty ,SCHOLARS ,AWARDS - Abstract
The University of Alabama at Birmingham Heersink School of Medicine established the Pittman Scholars Program in 2015 to elevate scientific impact and to support the recruitment and retention of highly competitive junior faculty. The authors examined the impact of this program on research productivity and on faculty retention. The authors evaluated publications and extramural grant awards and available demographic data for the Pittman Scholars compared to all junior faculty in the Heersink School of Medicine. From 2015 to 2021, the program awarded a diverse group of 41 junior faculty members across the institution. For this cohort, ninety-four new extramural grants were awarded and 146 grant applications were submitted since the inception of the scholar award. Pittman Scholars published a total of 411 papers during the term of the award. The faculty retention rate of the scholars was 95%, comparable to that of all Heersink junior faculty, with 2 recipients being recruited to other institutions. The implementation of the Pittman Scholars Program has been an effective strategy to celebrate scientific impact and acknowledge junior faculty members as outstanding scientists at our institution. The Pittman Scholars award allows junior faculty to use funds for their research program, publications, collaborations, and career advancement. The Pittman Scholars are recognized at local, regional, and national levels for the work they are contributing to academic medicine. The program has served as an important pipeline faculty development program and an avenue for individual recognition for research-intensive faculty. [ABSTRACT FROM AUTHOR]
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- 2023
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16. Harmonized Multisite MRI ‐Based Quantification of Human Liver Fat and Stiffness: A Pilot Study
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Carmichael, Owen T., primary, Singh, Maninder, additional, Bashir, Adil, additional, Russell, Anne M., additional, Bolding, Mark, additional, Redden, David T., additional, Storrs, Judd, additional, Willoughby, William R., additional, Howard‐Claudio, Candace, additional, Hsia, Daniel S., additional, Kimberly, Robert P., additional, Gray, Meagan E., additional, Ravussin, Eric, additional, and Denney, Thomas S., additional
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- 2023
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17. Supplementary Figures and Tables from Discovery and Validation of Circulating Biomarkers of Colorectal Adenoma by High-Depth Small RNA Sequencing
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Roberts, Brian S., primary, Hardigan, Andrew A., primary, Moore, Dianna E., primary, Ramaker, Ryne C., primary, Jones, Angela L., primary, Fitz-Gerald, Meredith B., primary, Cooper, Gregory M., primary, Wilcox, C. Mel, primary, Kimberly, Robert P., primary, and Myers, Richard M., primary
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- 2023
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18. Supplementary Table 3 and Analysis Scripts from Discovery and Validation of Circulating Biomarkers of Colorectal Adenoma by High-Depth Small RNA Sequencing
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Roberts, Brian S., primary, Hardigan, Andrew A., primary, Moore, Dianna E., primary, Ramaker, Ryne C., primary, Jones, Angela L., primary, Fitz-Gerald, Meredith B., primary, Cooper, Gregory M., primary, Wilcox, C. Mel, primary, Kimberly, Robert P., primary, and Myers, Richard M., primary
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- 2023
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19. Supplemental Methods from Discovery and Validation of Circulating Biomarkers of Colorectal Adenoma by High-Depth Small RNA Sequencing
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Roberts, Brian S., primary, Hardigan, Andrew A., primary, Moore, Dianna E., primary, Ramaker, Ryne C., primary, Jones, Angela L., primary, Fitz-Gerald, Meredith B., primary, Cooper, Gregory M., primary, Wilcox, C. Mel, primary, Kimberly, Robert P., primary, and Myers, Richard M., primary
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- 2023
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20. 1401 A Genome Wide Association Scan of SLE genetic risk in a cohort of African-American persons
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Harley, Isaac TW, primary, Sun, Celi, additional, Williams, Adrienne H, additional, Ziegler, Julie T, additional, Comeau, Mary E, additional, Marion, Miranda C, additional, Glenn, Stuart B, additional, Adler, Adam, additional, Frank-Pearce, Summer G, additional, Shen, Nan, additional, Kelly, Jennifer A, additional, Namjou-Khales, Bahram, additional, Petri, Michelle, additional, Alarcon-Riquelme, Marta, additional, Joseph McCune, W, additional, Gaffney, Patrick, additional, Sivils, Kathy, additional, Salmon, Jane E, additional, Weisman, Michael H, additional, Edberg, Jeffrey C, additional, Brown, Elizabeth E, additional, Utset, Tammy, additional, Criswell, Lindsey A, additional, Jacob, Chaim O, additional, Tsao, Betty, additional, Vyse, Timothy J, additional, James, Judith A, additional, Gilkeson, Gary S, additional, Kamen, Diane L, additional, Montgomery, Courtney, additional, Merrill, Joan T, additional, Nath, Swapan K, additional, Laurynenka, Viktoryia, additional, Chepelev, Iouri, additional, Harris-Lewis, Valerie, additional, Hal Scofield, R, additional, Kimberly, Robert P, additional, Langefeld, Carl D, additional, Harley, John B, additional, and Kaufman, Kenneth M, additional
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- 2022
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21. Leveraging CTSA hubs for rapid, large-scale, high-impact research: A case study during a global public health emergency
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Croker, Jennifer A., primary, Valenti, Shannon, additional, Baus, Holly Ann, additional, Ford, Eric W., additional, Mathias, David, additional, Yasko, Laurel, additional, McGaughey, Dan, additional, Smith, Tony, additional, Underwood, Katherine, additional, Avolio, Jennifer, additional, Sadtler, Kaitlyn, additional, Memoli, Matthew J., additional, Kimberly, Robert P., additional, and Reis, Steven E., additional
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- 2022
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22. Clinical associations of anti-Smith antibodies in PROFILE: a multi-ethnic lupus cohort
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Arroyo-Ávila, Mariangelí, Santiago-Casas, Yesenia, McGwin, Jr, Gerald, Cantor, Ryan S., Petri, Michelle, Ramsey-Goldman, Rosalind, Reveille, John D., Kimberly, Robert P., Alarcón, Graciela S., Vilá, Luis M., and Brown, Elizabeth E.
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- 2015
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23. X Chromosome Dose and Sex Bias in Autoimmune Diseases: Increased Prevalence of 47,XXX in Systemic Lupus Erythematosus and Sjögrenʼs Syndrome
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Liu, Ke, Kurien, Biji T., Zimmerman, Sarah L., Kaufman, Kenneth M., Taft, Diana H., Kottyan, Leah C., Lazaro, Sara, Weaver, Carrie A., Ice, John A., Adler, Adam J., Chodosh, James, Radfar, Lida, Rasmussen, Astrid, Stone, Donald U., Lewis, David M., Li, Shibo, Koelsch, Kristi A., Igoe, Ann, Talsania, Mitali, Kumar, Jay, Maier-Moore, Jacen S., Harris, Valerie M., Gopalakrishnan, Rajaram, Jonsson, Roland, Lessard, James A., Lu, Xianglan, Gottenberg, Jacques-Eric, Anaya, Juan-Manuel, Cunninghame-Graham, Deborah S., Huang, Andrew J. W., Brennan, Michael T., Hughes, Pamela, Illei, Gabor G., Miceli-Richard, Corinne, Keystone, Edward C., Bykerk, Vivian P., Hirschfield, Gideon, Xie, Gang, Ng, Wan-Fai, Nordmark, Gunnel, Eriksson, Per, Omdal, Roald, Rhodus, Nelson L., Rischmueller, Maureen, Rohrer, Michael, Segal, Barbara M., Vyse, Timothy J., Wahren-Herlenius, Marie, Witte, Torsten, Pons-Estel, Bernardo, Alarcón-Riquelme, Marta E., Guthridge, Joel M., James, Judith A., Lessard, Christopher J., Kelly, Jennifer A., Thompson, Susan D., Gaffney, Patrick M., Montgomery, Courtney G., Edberg, Jeffrey C., Kimberly, Robert P., Alarcón, Graciela S., Langefeld, Carl L., Gilkeson, Gary S., Kamen, Diane L., Tsao, Betty P., McCune, Joseph W., Salmon, Jane E., Merrill, Joan T., Weisman, Michael H., Wallace, Daniel J., Utset, Tammy O., Bottinger, Erwin P., Amos, Christopher I., Siminovitch, Katherine A., Mariette, Xavier, Sivils, Kathy L., Harley, John B., and Scofield, Hal R.
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- 2016
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24. Identification of a Systemic Lupus Erythematosus Risk Locus Spanning ATG16L2, FCHSD2, and P2RY2 in Koreans
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Lessard, Christopher J., Sajuthi, Satria, Zhao, Jian, Kim, Kwangwoo, Ice, John A., Li, He, Ainsworth, Hannah, Rasmussen, Astrid, Kelly, Jennifer A., Marion, Miranda, Bang, So-Young, Joo, Young Bin, Choi, Jeongim, Lee, Hye-Soon, Kang, Young Mo, Suh, Chang-Hee, Chung, Won Tae, Lee, Soo-Kon, Choe, Jung-Yoon, Shim, Seung Cheol, Oh, Ji Hee, Kim, Young Jin, Han, Bok-Ghee, Shen, Nan, Howe, Hwee Siew, Wakeland, Edward K., Li, Quan-Zhen, Song, Yeong Wook, Gaffney, Patrick M., Alarcón-Riquelme, Marta E., Criswell, Lindsey A., Jacob, Chaim O., Kimberly, Robert P., Vyse, Timothy J., Harley, John B., Sivils, Kathy L., Bae, Sang-Cheol, Langefeld, Carl D., and Tsao, Betty P.
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- 2016
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25. Genome-Wide Association Study in an Amerindian Ancestry Population Reveals Novel Systemic Lupus Erythematosus Risk Loci and the Role of European Admixture
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Alarcón-Riquelme, Marta E., Ziegler, Julie T., Molineros, Julio, Howard, Timothy D., Moreno-Estrada, Andrés, Sánchez-Rodríguez, Elena, Ainsworth, Hannah C., Ortiz-Tello, Patricia, Comeau, Mary E., Rasmussen, Astrid, Kelly, Jennifer A., Adler, Adam, Acevedo-Vázquez, Eduardo M., Mariano Cucho-Venegas, Jorge, García-De la Torre, Ignacio, Cardiel, Mario H., Miranda, Pedro, Catoggio, Luis J., Maradiaga-Ceceña, Marco, Gaffney, Patrick M., Vyse, Timothy J., Criswell, Lindsey A., Tsao, Betty P., Sivils, Kathy L., Bae, Sang-Cheol, James, Judith A., Kimberly, Robert P., Kaufman, Kenneth M., Harley, John B., Esquivel-Valerio, Jorge A., Moctezuma, José F., García, Mercedes A., Berbotto, Guillermo A., Babini, Alejandra M., Scherbarth, Hugo, Toloza, Sergio, Baca, Vicente, Nath, Swapan K., Aguilar Salinas, Carlos, Orozco, Lorena, Tusié-Luna, Teresa, Zidovetzki, Raphael, Pons-Estel, Bernardo A., Langefeld, Carl D., and Jacob, Chaim O.
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- 2016
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26. Preferential association of a functional variant in complement receptor 2 with antibodies to double-stranded DNA
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Zhao, Jian, Giles, Brendan M, Taylor, Rhonda L, Yette, Gabriel A, Lough, Kara M, Ng, Han Leng, Abraham, Lawrence J, Wu, Hui, Kelly, Jennifer A, Glenn, Stuart B, Adler, Adam J, Williams, Adrienne H, Comeau, Mary E, Ziegler, Julie T, Marion, Miranda, Alarcón-Riquelme, Marta E, Alarcón, Graciela S, Anaya, Juan-Manuel, Bae, Sang-Cheol, Kim, Dam, Lee, Hye-Soon, Criswell, Lindsey A, Freedman, Barry I, Gilkeson, Gary S, Guthridge, Joel M, Jacob, Chaim O, James, Judith A, Kamen, Diane L, Merrill, Joan T, Sivils, Kathy Moser, Niewold, Timothy B, Petri, Michelle A, Ramsey-Goldman, Rosalind, Reveille, John D, Scofield, R Hal, Stevens, Anne M, Vilá, Luis M, Vyse, Timothy J, Kaufman, Kenneth M, Harley, John B, Langefeld, Carl D, Gaffney, Patrick M, Brown, Elizabeth E, Edberg, Jeffrey C, Kimberly, Robert P, Ulgiati, Daniela, Tsao, Betty P, and Boackle, Susan A
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- 2016
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27. Leveraging CTSA hubs for rapid, large-scale, high-impact research: A case study during a global public health emergency.
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Croker, Jennifer A., Valenti, Shannon, Baus, Holly Ann, Ford, Eric W., Mathias, David, Yasko, Laurel, McGaughey, Dan, Smith, Tony, Underwood, Katherine, Avolio, Jennifer, Sadtler, Kaitlyn, Memoli, Matthew J., Kimberly, Robert P., and Reis, Steven E.
- Abstract
As the COVID-19 pandemic took hold in the USA in early 2020, it became clear that knowledge of the prevalence of antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among asymptomatic individuals could inform public health policy decisions and provide insight into the impact of the infection on vulnerable populations. Two Clinical and Translational Science Award (CTSA) Hubs and the National Institutes of Health (NIH) set forth to conduct a national seroprevalence survey to assess the infection's rate of spread. This partnership was able to quickly design and launch the project by leveraging established research capacities, prior experiences in large-scale, multisite studies and a highly skilled workforce of CTSA hubs and unique experimental capabilities at the NIH to conduct a diverse prospective, longitudinal observational cohort of 11,382 participants who provided biospecimens and participant-reported health and behavior data. The study was completed in 16 months and benefitted from transdisciplinary teamwork, information technology innovations, multimodal communication strategies, and scientific partnership for rigor in design and analytic methods. The lessons learned by the rapid implementation and dissemination of this national study is valuable in guiding future multisite projects as well as preparation for other public health emergencies and pandemics. [ABSTRACT FROM AUTHOR]
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- 2023
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28. Editorial: The Road Traveled: Genomics and Biomarkers in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis
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Kimberly, Robert P.
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- 2015
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29. Undiagnosed SARS-CoV-2 seropositivity during the first 6 months of the COVID-19 pandemic in the United States
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Kalish, Heather, primary, Klumpp-Thomas, Carleen, additional, Hunsberger, Sally, additional, Baus, Holly Ann, additional, Fay, Michael P., additional, Siripong, Nalyn, additional, Wang, Jing, additional, Hicks, Jennifer, additional, Mehalko, Jennifer, additional, Travers, Jameson, additional, Drew, Matthew, additional, Pauly, Kyle, additional, Spathies, Jacquelyn, additional, Ngo, Tran, additional, Adusei, Kenneth M., additional, Karkanitsa, Maria, additional, Croker, Jennifer A., additional, Li, Yan, additional, Graubard, Barry I., additional, Czajkowski, Lindsay, additional, Belliveau, Olivia, additional, Chairez, Cheryl, additional, Snead, Kelly R., additional, Frank, Peter, additional, Shunmugavel, Anandakumar, additional, Han, Alison, additional, Giurgea, Luca T., additional, Rosas, Luz Angela, additional, Bean, Rachel, additional, Athota, Rani, additional, Cervantes-Medina, Adriana, additional, Gouzoulis, Monica, additional, Heffelfinger, Brittany, additional, Valenti, Shannon, additional, Caldararo, Rocco, additional, Kolberg, Michelle M., additional, Kelly, Andrew, additional, Simon, Reid, additional, Shafiq, Saifullah, additional, Wall, Vanessa, additional, Reed, Susan, additional, Ford, Eric W., additional, Lokwani, Ravi, additional, Denson, John-Paul, additional, Messing, Simon, additional, Michael, Sam G., additional, Gillette, William, additional, Kimberly, Robert P., additional, Reis, Steven E., additional, Hall, Matthew D., additional, Esposito, Dominic, additional, Memoli, Matthew J., additional, and Sadtler, Kaitlyn, additional
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- 2021
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30. Mapping a Pandemic: SARS-CoV-2 Seropositivity in the United States
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Kalish, Heather, primary, Klumpp-Thomas, Carleen, additional, Hunsberger, Sally, additional, Baus, Holly Ann, additional, Fay, Michael P, additional, Siripong, Nalyn, additional, Wang, Jing, additional, Hicks, Jennifer, additional, Mehalko, Jennifer, additional, Travers, Jameson, additional, Drew, Matthew, additional, Pauly, Kyle, additional, Spathies, Jacquelyn, additional, Ngo, Tran, additional, Adusei, Kenneth M., additional, Karkanitsa, Maria, additional, Croker, Jennifer A, additional, Li, Yan, additional, Graubard, Barry I., additional, Czajkowski, Lindsay, additional, Belliveau, Olivia, additional, Chairez, Cheryl, additional, Snead, Kelly, additional, Frank, Peter, additional, Shunmugavel, Anandakumar, additional, Han, Alison, additional, Giurgea, Luca T., additional, Rosas, Luz Angela, additional, Bean, Rachel, additional, Athota, Rani, additional, Cervantes-Medina, Adriana, additional, Gouzoulis, Monica, additional, Heffelfinger, Brittany, additional, Valenti, Shannon, additional, Caldararo, Rocco, additional, Kolberg, Michelle M., additional, Kelly, Andrew, additional, Simon, Reid, additional, Shafiq, Saifullah, additional, Wall, Vanessa, additional, Reed, Susan, additional, Ford, Eric W, additional, Lokwani, Ravi, additional, Denson, John-Paul, additional, Messing, Simon, additional, Michael, Sam G., additional, Gillette, William, additional, Kimberly, Robert P., additional, Reis, Steven E., additional, Hall, Matthew D., additional, Esposito, Dominic, additional, Memoli, Matthew J., additional, and Sadtler, Kaitlyn, additional
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- 2021
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31. Building biorepositories in the midst of a pandemic
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Croker, Jennifer A., primary, Patel, Robin, additional, Campbell, Kenneth S., additional, Barton-Baxter, Marietta, additional, Wallet, Shannon, additional, Firestein, Gary S., additional, Kimberly, Robert P., additional, and Elemento, Olivier, additional
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- 2021
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32. Re-engineering The Clinical Research Enterprise in Response to COVID-19: The Clinical Translational Science Award (CTSA) experience and proposed playbook for future pandemics
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Coller, Barry S., primary, Buse, John B., additional, Kimberly, Robert P., additional, Powderly, William G., additional, and Zand, Martin S., additional
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- 2021
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33. Skewed allelic expression on X chromosome associated with aberrant expression of XIST on systemic lupus erythematosus lymphocytes
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Zhang, Yanfeng, primary, Li, Xinrui, additional, Gibson, Andrew, additional, Edberg, Jeffrey, additional, Kimberly, Robert P, additional, and Absher, Devin M, additional
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- 2020
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34. Population‐Specific Patterns of Epigenetic Defects in the B Cell Lineage in Patients With Systemic Lupus Erythematosus
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Breitbach, Megan E., primary, Ramaker, Ryne C., additional, Roberts, Kevin, additional, Kimberly, Robert P., additional, and Absher, Devin, additional
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- 2019
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35. IFNγ induces epigenetic programming of human T-bethi B cells and promotes TLR7/8 and IL-21 induced differentiation
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Zumaquero, Esther, primary, Stone, Sara L, additional, Scharer, Christopher D, additional, Jenks, Scott A, additional, Nellore, Anoma, additional, Mousseau, Betty, additional, Rosal-Vela, Antonio, additional, Botta, Davide, additional, Bradley, John E, additional, Wojciechowski, Wojciech, additional, Ptacek, Travis, additional, Danila, Maria I, additional, Edberg, Jeffrey C, additional, Bridges, S Louis, additional, Kimberly, Robert P, additional, Chatham, W Winn, additional, Schoeb, Trenton R, additional, Rosenberg, Alexander F, additional, Boss, Jeremy M, additional, Sanz, Ignacio, additional, and Lund, Frances E, additional
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- 2019
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36. Association of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for CD40 and CD39
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Spiliopoulou, Athina, primary, Colombo, Marco, additional, Plant, Darren, additional, Nair, Nisha, additional, Cui, Jing, additional, Coenen, Marieke JH, additional, Ikari, Katsunori, additional, Yamanaka, Hisashi, additional, Saevarsdottir, Saedis, additional, Padyukov, Leonid, additional, Bridges Jr., S Louis, additional, Kimberly, Robert P, additional, Okada, Yukinori, additional, van Riel, Piet L CM, additional, Wolbink, Gertjan, additional, van der Horst-Bruinsma, Irene E, additional, de Vries, Niek, additional, Tak, Paul P, additional, Ohmura, Koichiro, additional, Canhão, Helena, additional, Guchelaar, Henk-Jan, additional, Huizinga, Tom WJ, additional, Criswell, Lindsey A, additional, Raychaudhuri, Soumya, additional, Weinblatt, Michael E, additional, Wilson, Anthony G, additional, Mariette, Xavier, additional, Isaacs, John D, additional, Morgan, Ann W, additional, Pitzalis, Costantino, additional, Barton, Anne, additional, and McKeigue, Paul, additional
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- 2019
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37. Author response: IFNγ induces epigenetic programming of human T-bethi B cells and promotes TLR7/8 and IL-21 induced differentiation
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Zumaquero, Esther, primary, Stone, Sara L, additional, Scharer, Christopher D, additional, Jenks, Scott A, additional, Nellore, Anoma, additional, Mousseau, Betty, additional, Rosal-Vela, Antonio, additional, Botta, Davide, additional, Bradley, John E, additional, Wojciechowski, Wojciech, additional, Ptacek, Travis, additional, Danila, Maria I, additional, Edberg, Jeffrey C, additional, Bridges, S Louis, additional, Kimberly, Robert P, additional, Chatham, W Winn, additional, Schoeb, Trenton R, additional, Rosenberg, Alexander F, additional, Boss, Jeremy M, additional, Sanz, Ignacio, additional, and Lund, Frances E, additional
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- 2019
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38. Exploring COVID-19 Vaccine Hesitancy Among Stakeholders in African American and Latinx Communities in the Deep South Through the Lens of the Health Belief Model
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Bateman, Lori B., Hall, Allyson G., Anderson, William A., Cherrington, Andrea L., Helova, Anna, Judd, Suzanne, Kimberly, Robert, Oates, Gabriela R., Osborne, Tiffany, Ott, Corilyn, Ryan, Melissa, Strong, Christian, and Fouad, Mona N.
- Abstract
Purpose The purpose of this study was to qualitatively explore perceptions related to COVID-19 vaccination intention among African American and Latinx participants and suggest intervention strategies.Approach Ninety minute virtual focus groups (N = 8), segmented by county, race and ethnicity were conducted with stakeholders from 3 vulnerable Alabama counties.Participants Participants (N = 67) were primarily African American and Latinx, at least 19 years, and residents or stakeholders in Jefferson, Mobile, and Dallas counties.Setting Focus groups took place virtually over Zoom.Methods The semi-structured guide explored perceptions of COVID-19, with an emphasis on barriers and facilitators to vaccine uptake. Focus groups lasted approximately 90 minutes and were audio recorded, transcribed, and analyzed by a team of 3 investigators, according to the guidelines of Thematic Analysis using NVivo 12. To provide guidance in the development of interventions to decrease vaccine hesitancy, we examined how themes fit with the constructs of the Health Belief Model.Results We found that primary themes driving COVID-19 vaccine hesitancy, ordered from most to least discussed, are mistrust, fear, and lack of information. Additionally, interventions to decrease vaccine hesitancy should be multi-modal, community engaged, and provide consistent, comprehensive messages delivered by trusted sources.
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- 2022
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39. Transancestral mapping and genetic load in systemic lupus erythematosus
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Langefeld, C. D., Ainsworth, H. C., Kelly, J. A., Comeau, M. E., Marion, M. C., Howard, T. D., Ramos, P. S., Croker, J. A., Morris, D. L., Sandling, J. K., Almlöf, J. C., Pons-Estel, Bernardo A., Pope, Janet, Raj, Prithvi, Ramsey-Goldman, Rosalind, Reveille, John D., Russell, Laurie P., Sabio, José Mario, Aguilar-Salinas, Carlos A., Scherbarth, Hugo R., Scorza, Raffaella, Seldin, Michael F., Sjowall, Christopher, Svenungsson, Elisabet, Thompson, Susan D., Toloza, Sergio M. A., Truedsson, Lennart, Tusie-Luna, Teresa, Vasconcelos, C., Vilá, Luis M., Wallace, Daniel J., Weisman, Michael H., Wither, Joan E., Bhangale, Tushar, Oksenberg, Jorge R., Rioux, John D., Gregersen, Peter K., Syvanen, Ann-Christine, Ronnblom, Lars, Criswell, Lindsey A., Jacob, Chaim O., Sivils, Kathy L., Tsao, Betty P., Schanberg, Laura E., Behrens, Timothy W., Silverman, Earl D., Alarcón-Riquelme, M. E., Kimberly, Robert P., Harley, John B., Wakeland, Edward K., Graham, Robert R., Gaffney, P. M., Vyse, Timothy J., Acevedo-Vásquez, E. M., Alarcón, G. S., Babini, A. M., Baca, V., Bengtsson, A. A., Berbotto, G. A., Bij, l. M., Brown, E. E., Brunner, H.I., Cardiel, Mario H., Catoggio, Luis, Cervera, Ricard, Cucho-Venegas, Jorge M., Dahlqvist, Solbritt Rantapaa, D'Alfonso, Sandra, Da Silva, Berta Martins, de la Rua Figueroa, Inigo, Doria, Andrea, Edberg, Jeffrey C., Endreffy, Emoke, Esquivel-Valerio, Jorge A., Fortin, Paul R., Freedman, Barry I., Frostegård, Johan, García, Mercedes A., García de la Torre, Ignacio, Gilkeson, G. S., Gladman, Dafna D., Gunnarsson, Iva, Guthridge, Joel M., Huggins, Jennifer L., James, Judith A., Kallenberg, Cees G. M., Kamen, D. L., Karp, David R., Kaufman, Kenneth M, Kottyan, Leah C., Kovacs, Laszlo, Laustrup, Helle, Lauwerys, Bernard R., Li, Quan-Zhen, Maradiaga-Cecena, Marco A., Martín, J., McCune, Joseph M., McWilliams, David R, Merrill, Joan T, Miranda, Pedro, Moctezuma, Jose F., Nath, Swapan K., Niewold, Timothy B., Orozco, Lorena, Ortego-Centeno, N., Petri, Michelle, Pineau, Christian A., National Institute for Health Research (UK), Arthritis Research UK, Alliance for Lupus Research, Junta de Andalucía, National Institute of Arthritis and Musculoskeletal and Skin Diseases (US), National Institutes of Health (US), RILITE Foundation, and Genentech Foundation
- Subjects
skin and connective tissue diseases - Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify 58 distinct non-HLA regions in EA, 9 in AA and 16 in HA (similar to 50% of these regions have multiple independent associations); these include 24 novel SLE regions (P < 5 x 10(-8)), refined association signals in established regions, extended associations to additional ancestries, and a disentangled complex HLA multigenic effect. The risk allele count (genetic load) exhibits an accelerating pattern of SLE risk, leading us to posit a cumulative hit hypothesis for autoimmune disease. Comparing results across the three ancestries identifies both ancestry-dependent and ancestry-independent contributions to SLE risk. Our results are consistent with the unique and complex histories of the populations sampled, and collectively help clarify the genetic architecture and ethnic disparities in SLE., We gratefully acknowledge the Alliance for Lupus Research for funding and support. The research was supported in part by awards from the Arthritis Research UK Special Strategic Award (ref. 19289) and from George Koukis (T.J.V.). In addition, the research was funded/supported by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and King's College London (T.J.V.). The work would not be possible without funding from the NIH grants AR049084 (RPK, EEB); the International Consortium on the Genetics of Systemic Lupus Erythematosus (SLEGEN) AI083194 (J.B.H.); CA141700, AR058621 Proyecto de Excelencia, Consejeria de Andalucia (M.E.A.R.); AR043814 and AR-065626 (B.P.T.); AR060366, MD007909, AI107176 (S.K.N.); AR-057172 (C.O.J.); RC2 AR058959, U19 A1082714, R01 AR063124, P30 GM110766, R01 AR056360 (P.M.G.); P60 AR053308 (L.A.C.), MUSC part is from UL1RR029882 (G.S.G., D.L.K.) and 5P60AR062755 (G.S.G., D.L.K., P.R.R.). Oklahoma Samples U19AI082714, U01AI101934, P30GM103510, U54GM104938 and P30AR053483 (J.A.J., J.M.G.); Northwestern P60 AR066464 and 1U54TR001018 (R.R.G.); This study was supported by the US National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health (NIH) under Award Numbers K01 AR067280 and P60 AR062755 (PSR); N01AR22265 (funded collection of APPLE samples) (LES) and the APPLE Investigators; R01AR43727, NIH AR 043727 and 069572 (M.P.); NIAMS/NIH P50-AR055503 (D.R.K.). We would like to also thank the RILITE foundation for financial support (C.D.L.). Additional funding for Immunochip genotyping was provided by Genentech.
- Published
- 2017
40. Population‐Specific Patterns of Epigenetic Defects in the B Cell Lineage in Patients With Systemic Lupus Erythematosus.
- Author
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Breitbach, Megan E., Ramaker, Ryne C., Roberts, Kevin, Kimberly, Robert P., and Absher, Devin
- Subjects
ALGORITHMS ,B cells ,BLACK people ,CELL differentiation ,ETHNIC groups ,GENES ,INTERFERONS ,RACE ,REGRESSION analysis ,SYSTEMIC lupus erythematosus ,TRANSCRIPTION factors ,WHITE people ,RECEIVER operating characteristic curves ,DNA methylation ,EPIGENOMICS ,DISEASE risk factors - Abstract
Objective: To determine the stage of B cell development at which a systemic lupus erythematosus (SLE)–associated DNA methylation signature originates in African American (AA) and European American (EA) subjects, and to assess whether epigenetic defects in B cell development patterns could be predictive of SLE status in individual and mixed immune cell populations. Methods: B cells from AA patients (n = 31) and EA patients (n = 49) with or without SLE were sorted using fluorescence‐activated cell sorting into 5 B cell subsets. DNA methylation, measured at ~460,000 CpG sites, was interrogated in each subset. Enrichment analysis of transcription factor interaction at SLE‐associated methylation sites was performed. A random forests algorithm was used to identify an epigenetic signature of SLE in the B cell subsets, which was then validated in an independent cohort of AA and EA patients and healthy controls. Results: Regression analysis across all B cell stages resulted in identification of 60 CpGs that reached genome‐wide significance for SLE‐associated methylation differences (P ≤ 1.07 × 10−7). Interrogation of ethnicity‐specific CpGs associated with SLE revealed a hypomethylated pattern that was enriched for interferon (IFN)–regulated genes and binding of EBF1 in AA patients (each P < 0.001). AA patients with SLE could be distinguished from healthy controls when the predictive model developed with the transitional B cell subset was applied to other B cell subsets (mean receiver operating characteristic [ROC] area under the curve [AUC] 0.98), and when applied to CD19+ pan–B cells (mean ROC AUC 0.95) and CD4+ pan–T cells (mean ROC AUC 0.97) from the independent validation cohort. Conclusion: These results indicate that SLE‐specific methylation patterns are ethnicity dependent. A pattern of epigenetic changes near IFN‐regulated genes early in B cell development is a hallmark of SLE in AA female subjects. EBF1 binding sites are highly enriched for significant methylation changes, implying that this may be a potential regulator of SLE‐associated epigenetic changes. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
41. MRLR: unraveling high-resolution meiotic recombination by linked reads.
- Author
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Xu, Peng, Kennell, Timothy, Gao, Min, Consortium, Human Genome Structural Variation, Kimberly, Robert P, and Chong, Zechen
- Subjects
GENETIC recombination ,INTERNET servers ,HOMOLOGOUS chromosomes ,GAMETES - Abstract
Motivation Meiotic recombination facilitates the transmission of exchanged genetic material between homologous chromosomes and plays a crucial role in increasing the genetic variations in eukaryotic organisms. In humans, thousands of crossover events have been identified by genotyping related family members. However, most of these crossover regions span tens to hundreds of kb, which is not sufficient resolution to accurately identify the crossover breakpoints in a typical trio family. Results We have developed MRLR, a software using 10X linked reads to identify crossover events at a high resolution. By reconstructing the gamete genome, MRLR only requires a trio family dataset and can efficiently discover the crossover events. Using MRLR, we revealed a fine-scale pattern of crossover regions in six human families. From the two closest heterozygous alleles around the crossovers, we determined that MRLR achieved a median resolution 4.5 kb. This method can delineate a genome-wide landscape of crossover events at a precise scale, which is important for both functional and genomic features analysis of meiotic recombination. Availability and implementation MRLR is freely available at https://github.com/ChongLab/MRLR , implemented in Perl. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
42. Genetic influences on susceptibility to rheumatoid arthritis in African-Americans
- Author
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Laufer, Vincent A, primary, Tiwari, Hemant K, additional, Reynolds, Richard J, additional, Danila, Maria I, additional, Wang, Jelai, additional, Edberg, Jeffrey C, additional, Kimberly, Robert P, additional, Kottyan, Leah C, additional, Harley, John B, additional, Mikuls, Ted R, additional, Gregersen, Peter K, additional, Absher, Devin M, additional, Langefeld, Carl D, additional, Arnett, Donna K, additional, and Bridges, Jr, S Louis, additional
- Published
- 2018
- Full Text
- View/download PDF
43. Genome-wide association studies suggest that APOL1-environment interactions more likely trigger kidney disease in African Americans with nondiabetic nephropathy than strong APOL1–second gene interactions
- Author
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Langefeld, Carl D., primary, Comeau, Mary E., additional, Ng, Maggie C.Y., additional, Guan, Meijian, additional, Dimitrov, Latchezar, additional, Mudgal, Poorva, additional, Spainhour, Mitzie H., additional, Julian, Bruce A., additional, Edberg, Jeffrey C., additional, Croker, Jennifer A., additional, Divers, Jasmin, additional, Hicks, Pamela J., additional, Bowden, Donald W., additional, Chan, Gary C., additional, Ma, Lijun, additional, Palmer, Nicholette D., additional, Kimberly, Robert P., additional, and Freedman, Barry I., additional
- Published
- 2018
- Full Text
- View/download PDF
44. Genetic fine mapping of systemic lupus erythematosus MHC associations in Europeans and African Americans
- Author
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Hanscombe, Ken B, primary, Morris, David L, additional, Noble, Janelle A, additional, Dilthey, Alexander T, additional, Tombleson, Philip, additional, Kaufman, Kenneth M, additional, Comeau, Mary, additional, Langefeld, Carl D, additional, Alarcon-Riquelme, Marta E, additional, Gaffney, Patrick M, additional, Jacob, Chaim O, additional, Sivils, Kathy L, additional, Tsao, Betty P, additional, Alarcon, Graciela S, additional, Brown, Elizabeth E, additional, Croker, Jennifer, additional, Edberg, Jeff, additional, Gilkeson, Gary, additional, James, Judith A, additional, Kamen, Diane L, additional, Kelly, Jennifer A, additional, McCune, Joseph, additional, Merrill, Joan T, additional, Petri, Michelle, additional, Ramsey-Goldman, Rosalind, additional, Reveille, John D, additional, Salmon, Jane E, additional, Scofield, Hal, additional, Utset, Tammy, additional, Wallace, Daniel J, additional, Weisman, Michael H, additional, Kimberly, Robert P, additional, Harley, John B, additional, Lewis, Cathryn M, additional, Criswell, Lindsey A, additional, and Vyse, Timothy J, additional
- Published
- 2018
- Full Text
- View/download PDF
45. Genetic variants at the 16p13 locus confer risk for eosinophilic esophagitis
- Author
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Kottyan, Leah C., primary, Maddox, Avery, additional, Braxton, Julian R., additional, Stucke, Emily M., additional, Mukkada, Vince, additional, Putnam, Philip E., additional, Abonia, J. Pablo, additional, Chehade, Mirna, additional, Wood, Robert A., additional, Pesek, Robbie D., additional, Vickery, Brian P., additional, Furuta, Glenn T., additional, Dawson, Peter, additional, Sampson, Hugh A., additional, Martin, Lisa J., additional, Kelly, Jennifer A., additional, Kimberly, Robert P., additional, Sivils, Kathy, additional, Gaffney, Patrick M., additional, Kaufman, Kenneth, additional, Harley, John B., additional, and Rothenberg, Marc E., additional
- Published
- 2018
- Full Text
- View/download PDF
46. Discovery and Validation of Circulating Biomarkers of Colorectal Adenoma by High-Depth Small RNA Sequencing
- Author
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Roberts, Brian S., primary, Hardigan, Andrew A., additional, Moore, Dianna E., additional, Ramaker, Ryne C., additional, Jones, Angela L., additional, Fitz-Gerald, Meredith B., additional, Cooper, Gregory M., additional, Wilcox, C. Mel, additional, Kimberly, Robert P., additional, and Myers, Richard M., additional
- Published
- 2018
- Full Text
- View/download PDF
47. A plausibly causal functional lupus-associated risk variant in the STAT1–STAT4 locus
- Author
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Patel, Zubin H, primary, Lu, Xiaoming, additional, Miller, Daniel, additional, Forney, Carmy R, additional, Lee, Joshua, additional, Lynch, Arthur, additional, Schroeder, Connor, additional, Parks, Lois, additional, Magnusen, Albert F, additional, Chen, Xiaoting, additional, Pujato, Mario, additional, Maddox, Avery, additional, Zoller, Erin E, additional, Namjou, Bahram, additional, Brunner, Hermine I, additional, Henrickson, Michael, additional, Huggins, Jennifer L, additional, Williams, Adrienne H, additional, Ziegler, Julie T, additional, Comeau, Mary E, additional, Marion, Miranda C, additional, Glenn, Stuart B, additional, Adler, Adam, additional, Shen, Nan, additional, Nath, Swapan K, additional, Stevens, Anne M, additional, Freedman, Barry I, additional, Pons-Estel, Bernardo A, additional, Tsao, Betty P, additional, Jacob, Chaim O, additional, Kamen, Diane L, additional, Brown, Elizabeth E, additional, Gilkeson, Gary S, additional, Alarcón, Graciela S, additional, Martin, Javier, additional, Reveille, John D, additional, Anaya, Juan-Manuel, additional, James, Judith A, additional, Sivils, Kathy L, additional, Criswell, Lindsey A, additional, Vilá, Luis M, additional, Petri, Michelle, additional, Scofield, R Hal, additional, Kimberly, Robert P, additional, Edberg, Jeffrey C, additional, Ramsey-Goldman, Rosalind, additional, Bang, So-Young, additional, Lee, Hye-Soon, additional, Bae, Sang-Cheol, additional, Boackle, Susan A, additional, Cunninghame Graham, Deborah, additional, Vyse, Timothy J, additional, Merrill, Joan T, additional, Niewold, Timothy B, additional, Ainsworth, Hannah C, additional, Silverman, Earl D, additional, Weisman, Michael H, additional, Wallace, Daniel J, additional, Raj, Prithvi, additional, Guthridge, Joel M, additional, Gaffney, Patrick M, additional, Kelly, Jennifer A, additional, Alarcón-Riquelme, Marta E, additional, Langefeld, Carl D, additional, Wakeland, Edward K, additional, Kaufman, Kenneth M, additional, Weirauch, Matthew T, additional, Harley, John B, additional, and Kottyan, Leah C, additional
- Published
- 2018
- Full Text
- View/download PDF
48. Transancestral mapping and genetic load in systemic lupus erythematosus
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Langefeld, Carl D., Ainsworth, Hannah C., Graham, Deborah S. Cunninghame, Kelly, Jennifer A., Comeau, Mary E., Marion, Miranda C., Howard, Timothy D., Ramos, Paula S., Croker, Jennifer A., Morris, David L., Sandling, Johanna K., Carlsson Almlöf, Jonas, Acevedo-Vasquez, Eduardo M., Alarcon, Graciela S., Babini, Alejandra M., Baca, Vicente, Bengtsson, Anders A., Berbotto, Guillermo A., Bijl, Marc, Brown, Elizabeth E., Brunner, Hermine I., Cardiel, Mario H., Catoggio, Luis, Cervera, Ricard, Cucho-Venegas, Jorge M., Dahlqvist, Solbritt Rantapaa, D'Alfonso, Sandra, Da Silva, Berta Martins, de la Rua Figueroa, Inigo, Doria, Andrea, Edberg, Jeffrey C., Endreffy, Emoke, Esquivel-Valerio, Jorge A., Fortin, Paul R., Freedman, Barry I., Frostegard, Johan, Garcia, Mercedes A., Garcia de la Torre, Ignacio, Gilkeson, Gary S., Gladman, Dafna D., Gunnarsson, Iva, Guthridge, Joel M., Huggins, Jennifer L., James, Judith A., Kallenberg, Cees G. M., Kamen, Diane L., Karp, David R., Kaufman, Kenneth M., Kottyan, Leah C., Kovacs, Laszlo, Laustrup, Helle, Lauwerys, Bernard R., Li, Quan-Zhen, Maradiaga-Cecena, Marco A., Martin, Javier, McCune, Joseph M., McWilliams, David R., Merrill, Joan T., Miranda, Pedro, Moctezuma, Jose F., Nath, Swapan K., Niewold, Timothy B., Orozco, Lorena, Ortego-Centeno, Norberto, Petri, Michelle, Pineau, Christian A., Pons-Estel, Bernardo A., Pope, Janet, Raj, Prithvi, Ramsey-Goldman, Rosalind, Reveille, John D., Russell, Laurie P., Sabio, Jose M., Aguilar-Salinas, Carlos A., Scherbarth, Hugo R., Scorza, Raffaella, Seldin, Michael F., Sjowall, Christopher, Svenungsson, Elisabet, Thompson, Susan D., Toloza, Sergio M. A., Truedsson, Lennart, Tusie-Luna, Teresa, Vasconcelos, Carlos, Vila, Luis M., Wallace, Daniel J., Weisman, Michael H., Wither, Joan E., Bhangale, Tushar, Oksenberg, Jorge R., Rioux, John D., Gregersen, Peter K., Syvänen, Ann-Christine, Rönnblom, Lars, Criswell, Lindsey A., Jacob, Chaim O., Sivils, Kathy L., Tsao, Betty P., Schanberg, Laura E., Behrens, Timothy W., Silverman, Earl D., Alarcon-Riquelme, Marta E., Kimberly, Robert P., Harley, John B., Wakeland, Edward K., Graham, Robert R., Gaffney, Patrick M., Vyse, Timothy J., Langefeld, Carl D., Ainsworth, Hannah C., Graham, Deborah S. Cunninghame, Kelly, Jennifer A., Comeau, Mary E., Marion, Miranda C., Howard, Timothy D., Ramos, Paula S., Croker, Jennifer A., Morris, David L., Sandling, Johanna K., Carlsson Almlöf, Jonas, Acevedo-Vasquez, Eduardo M., Alarcon, Graciela S., Babini, Alejandra M., Baca, Vicente, Bengtsson, Anders A., Berbotto, Guillermo A., Bijl, Marc, Brown, Elizabeth E., Brunner, Hermine I., Cardiel, Mario H., Catoggio, Luis, Cervera, Ricard, Cucho-Venegas, Jorge M., Dahlqvist, Solbritt Rantapaa, D'Alfonso, Sandra, Da Silva, Berta Martins, de la Rua Figueroa, Inigo, Doria, Andrea, Edberg, Jeffrey C., Endreffy, Emoke, Esquivel-Valerio, Jorge A., Fortin, Paul R., Freedman, Barry I., Frostegard, Johan, Garcia, Mercedes A., Garcia de la Torre, Ignacio, Gilkeson, Gary S., Gladman, Dafna D., Gunnarsson, Iva, Guthridge, Joel M., Huggins, Jennifer L., James, Judith A., Kallenberg, Cees G. M., Kamen, Diane L., Karp, David R., Kaufman, Kenneth M., Kottyan, Leah C., Kovacs, Laszlo, Laustrup, Helle, Lauwerys, Bernard R., Li, Quan-Zhen, Maradiaga-Cecena, Marco A., Martin, Javier, McCune, Joseph M., McWilliams, David R., Merrill, Joan T., Miranda, Pedro, Moctezuma, Jose F., Nath, Swapan K., Niewold, Timothy B., Orozco, Lorena, Ortego-Centeno, Norberto, Petri, Michelle, Pineau, Christian A., Pons-Estel, Bernardo A., Pope, Janet, Raj, Prithvi, Ramsey-Goldman, Rosalind, Reveille, John D., Russell, Laurie P., Sabio, Jose M., Aguilar-Salinas, Carlos A., Scherbarth, Hugo R., Scorza, Raffaella, Seldin, Michael F., Sjowall, Christopher, Svenungsson, Elisabet, Thompson, Susan D., Toloza, Sergio M. A., Truedsson, Lennart, Tusie-Luna, Teresa, Vasconcelos, Carlos, Vila, Luis M., Wallace, Daniel J., Weisman, Michael H., Wither, Joan E., Bhangale, Tushar, Oksenberg, Jorge R., Rioux, John D., Gregersen, Peter K., Syvänen, Ann-Christine, Rönnblom, Lars, Criswell, Lindsey A., Jacob, Chaim O., Sivils, Kathy L., Tsao, Betty P., Schanberg, Laura E., Behrens, Timothy W., Silverman, Earl D., Alarcon-Riquelme, Marta E., Kimberly, Robert P., Harley, John B., Wakeland, Edward K., Graham, Robert R., Gaffney, Patrick M., and Vyse, Timothy J.
- Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify 58 distinct non-HLA regions in EA, 9 in AA and 16 in HA (similar to 50% of these regions have multiple independent associations); these include 24 novel SLE regions (P < 5 x 10(-8)), refined association signals in established regions, extended associations to additional ancestries, and a disentangled complex HLA multigenic effect. The risk allele count (genetic load) exhibits an accelerating pattern of SLE risk, leading us to posit a cumulative hit hypothesis for autoimmune disease. Comparing results across the three ancestries identifies both ancestry-dependent and ancestry-independent contributions to SLE risk. Our results are consistent with the unique and complex histories of the populations sampled, and collectively help clarify the genetic architecture and ethnic disparities in SLE.
- Published
- 2017
- Full Text
- View/download PDF
49. Transancestral mapping and genetic load in systemic lupus erythematosus
- Author
-
National Institute for Health Research (UK), Arthritis Research UK, Alliance for Lupus Research, Junta de Andalucía, National Institute of Arthritis and Musculoskeletal and Skin Diseases (US), National Institutes of Health (US), RILITE Foundation, Genentech Foundation, Langefeld, C. D., Ainsworth, H. C., Kelly, J. A., Comeau, M. E., Marion, M. C., Howard, T. D., Ramos, P. S., Croker, J. A., Morris, D. L., Sandling, J. K., Almlöf, J. C., Pons-Estel, Bernardo A., Pope, Janet, Raj, Prithvi, Ramsey-Goldman, Rosalind, Reveille, John D., Russell, Laurie P., Sabio, José Mario, Aguilar-Salinas, Carlos A., Scherbarth, Hugo R., Scorza, Raffaella, Seldin, Michael F., Sjowall, Christopher, Svenungsson, Elisabet, Thompson, Susan D., Toloza, Sergio M. A., Truedsson, Lennart, Tusie-Luna, Teresa, Vasconcelos, C., Vilá, Luis M., Wallace, Daniel J., Weisman, Michael H., Wither, Joan E., Bhangale, Tushar, Oksenberg, Jorge R., Rioux, John D., Gregersen, Peter K., Syvanen, Ann-Christine, Ronnblom, Lars, Criswell, Lindsey A., Jacob, Chaim O., Sivils, Kathy L., Tsao, Betty P., Schanberg, Laura E., Behrens, Timothy W., Silverman, Earl D., Alarcón-Riquelme, M. E., Kimberly, Robert P., Harley, John B., Wakeland, Edward K., Graham, Robert R., Gaffney, P. M., Vyse, Timothy J., Acevedo-Vásquez, E. M., Alarcón, G. S., Babini, A. M., Baca, V., Bengtsson, A. A., Berbotto, G. A., Bij, l. M., Brown, E. E., Brunner, H.I., Cardiel, Mario H., Catoggio, Luis, Cervera, Ricard, Cucho-Venegas, Jorge M., Dahlqvist, Solbritt Rantapaa, D'Alfonso, Sandra, Da Silva, Berta Martins, de la Rua Figueroa, Inigo, Doria, Andrea, Edberg, Jeffrey C., Endreffy, Emoke, Esquivel-Valerio, Jorge A., Fortin, Paul R., Freedman, Barry I., Frostegård, Johan, García, Mercedes A., García de la Torre, Ignacio, Gilkeson, G. S., Gladman, Dafna D., Gunnarsson, Iva, Guthridge, Joel M., Huggins, Jennifer L., James, Judith A., Kallenberg, Cees G. M., Kamen, D. L., Karp, David R., Kaufman, Kenneth M, Kottyan, Leah C., Kovacs, Laszlo, Laustrup, Helle, Lauwerys, Bernard R., Li, Quan-Zhen, Maradiaga-Cecena, Marco A., Martín, J., McCune, Joseph M., McWilliams, David R, Merrill, Joan T, Miranda, Pedro, Moctezuma, Jose F., Nath, Swapan K., Niewold, Timothy B., Orozco, Lorena, Ortego-Centeno, N., Petri, Michelle, Pineau, Christian A., National Institute for Health Research (UK), Arthritis Research UK, Alliance for Lupus Research, Junta de Andalucía, National Institute of Arthritis and Musculoskeletal and Skin Diseases (US), National Institutes of Health (US), RILITE Foundation, Genentech Foundation, Langefeld, C. D., Ainsworth, H. C., Kelly, J. A., Comeau, M. E., Marion, M. C., Howard, T. D., Ramos, P. S., Croker, J. A., Morris, D. L., Sandling, J. K., Almlöf, J. C., Pons-Estel, Bernardo A., Pope, Janet, Raj, Prithvi, Ramsey-Goldman, Rosalind, Reveille, John D., Russell, Laurie P., Sabio, José Mario, Aguilar-Salinas, Carlos A., Scherbarth, Hugo R., Scorza, Raffaella, Seldin, Michael F., Sjowall, Christopher, Svenungsson, Elisabet, Thompson, Susan D., Toloza, Sergio M. A., Truedsson, Lennart, Tusie-Luna, Teresa, Vasconcelos, C., Vilá, Luis M., Wallace, Daniel J., Weisman, Michael H., Wither, Joan E., Bhangale, Tushar, Oksenberg, Jorge R., Rioux, John D., Gregersen, Peter K., Syvanen, Ann-Christine, Ronnblom, Lars, Criswell, Lindsey A., Jacob, Chaim O., Sivils, Kathy L., Tsao, Betty P., Schanberg, Laura E., Behrens, Timothy W., Silverman, Earl D., Alarcón-Riquelme, M. E., Kimberly, Robert P., Harley, John B., Wakeland, Edward K., Graham, Robert R., Gaffney, P. M., Vyse, Timothy J., Acevedo-Vásquez, E. M., Alarcón, G. S., Babini, A. M., Baca, V., Bengtsson, A. A., Berbotto, G. A., Bij, l. M., Brown, E. E., Brunner, H.I., Cardiel, Mario H., Catoggio, Luis, Cervera, Ricard, Cucho-Venegas, Jorge M., Dahlqvist, Solbritt Rantapaa, D'Alfonso, Sandra, Da Silva, Berta Martins, de la Rua Figueroa, Inigo, Doria, Andrea, Edberg, Jeffrey C., Endreffy, Emoke, Esquivel-Valerio, Jorge A., Fortin, Paul R., Freedman, Barry I., Frostegård, Johan, García, Mercedes A., García de la Torre, Ignacio, Gilkeson, G. S., Gladman, Dafna D., Gunnarsson, Iva, Guthridge, Joel M., Huggins, Jennifer L., James, Judith A., Kallenberg, Cees G. M., Kamen, D. L., Karp, David R., Kaufman, Kenneth M, Kottyan, Leah C., Kovacs, Laszlo, Laustrup, Helle, Lauwerys, Bernard R., Li, Quan-Zhen, Maradiaga-Cecena, Marco A., Martín, J., McCune, Joseph M., McWilliams, David R, Merrill, Joan T, Miranda, Pedro, Moctezuma, Jose F., Nath, Swapan K., Niewold, Timothy B., Orozco, Lorena, Ortego-Centeno, N., Petri, Michelle, and Pineau, Christian A.
- Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify 58 distinct non-HLA regions in EA, 9 in AA and 16 in HA (similar to 50% of these regions have multiple independent associations); these include 24 novel SLE regions (P < 5 x 10(-8)), refined association signals in established regions, extended associations to additional ancestries, and a disentangled complex HLA multigenic effect. The risk allele count (genetic load) exhibits an accelerating pattern of SLE risk, leading us to posit a cumulative hit hypothesis for autoimmune disease. Comparing results across the three ancestries identifies both ancestry-dependent and ancestry-independent contributions to SLE risk. Our results are consistent with the unique and complex histories of the populations sampled, and collectively help clarify the genetic architecture and ethnic disparities in SLE.
- Published
- 2017
50. Fosmid clonal library used to screen for a novel variant of FCGR2
- Author
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Howton, T.C., Ptacek, Travis, Redden, David T., Li, Xinrui, Ji, Chuanyi, Edberg, Jeffrey C., Mukhtar, Shahid, and Kimberly, Robert P.
- Subjects
Systemic lupus erythematosus -- Genetic aspects ,Genomic libraries -- Research ,Plasmids -- Research ,Science and technology - Abstract
FOSMID CLONAL LIBRARY USED TO SCREEN FOR A NOVEL VARIANT OF FCGR2B. T.C. HOWTON, TRAVIS PTACEK, DAVID T REDDEN, XINRUI LI, CHUANYI JI, JEFFREY C EDBERG, SHAHID MUKHTAR, ROBERT P [...]
- Published
- 2015
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