611 results on '"Barry I. Freedman"'
Search Results
2. Collaboration between Dialysis Providers
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Jeffrey Silberzweig, J. Ganesh Bhat, Mary O. Dittrich, Raghu Durvasula, Jeff Giullian, Jeffrey L. Hymes, Doug Johnson, Brigitte Schiller, Richard Spech, Leslie Spry, Geoffrey Scott Walker, Suzanne Watnick, Jerry Yee, and Barry I. Freedman
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Nephrology ,Renal Dialysis ,Humans ,Kidney Failure, Chronic ,General Medicine - Published
- 2023
3. Treatment potential in APOL1-associated nephropathy
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David J, Friedman, Lijun, Ma, and Barry I, Freedman
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Genotype ,Nephrology ,Internal Medicine ,Humans ,Genetic Predisposition to Disease ,HIV Infections ,Interferons ,Renal Insufficiency, Chronic ,Apolipoprotein L1 - Abstract
More than 5 million African-Americans, and millions more in Africa and worldwide, possess apolipoprotein L1 gene (APOL1) high-risk genotypes with an increased risk for chronic kidney disease. This manuscript reviews treatment approaches for slowing the progression of APOL1-associated nephropathy.Since the 2010 discovery of APOL1 as a cause of nondiabetic nephropathy in individuals with sub-Saharan African ancestry, it has become apparent that aggressive hypertension control, renin-angiotensin system blockade, steroids and conventional immunosuppressive agents are suboptimal treatments. In contrast, APOL1-mediated collapsing glomerulopathy due to interferon treatment and HIV infection, respectively, often resolve with cessation of interferon or antiretroviral therapy. Targeted therapies, including APOL1 small molecule inhibitors, APOL1 antisense oligonucleotides (ASO) and inhibitors of APOL1-associated inflammatory pathways, hold promise for these diseases. Evolving therapies and the need for clinical trials support the importance of increased use of APOL1 genotyping and kidney biopsy.APOL1-associated nephropathy includes a group of related phenotypes that are driven by the same two genetic variants in APOL1. Clinical trials of small molecule inhibitors, ASO, and inflammatory pathway inhibitors may improve outcomes in patients with primary forms of APOL1-associated nephropathy.
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- 2022
4. <scp>Acetyl‐coenzyme</scp> A carboxylase beta gene polymorphism does not predict cardiovascular risk susceptibility in Chinese type 2 diabetic individuals
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Gary C. W. Chan, Helen Zhi, Pamela J. Hicks, Barry I. Freedman, and Sydney C. W. Tang
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China ,General Medicine ,Middle Aged ,Polymorphism, Single Nucleotide ,Diabetes Mellitus, Type 2 ,Cardiovascular Diseases ,Risk Factors ,Nephrology ,Case-Control Studies ,Humans ,Coenzyme A ,Diabetic Nephropathies ,Genetic Predisposition to Disease ,Acetyl-CoA Carboxylase ,Aged - Abstract
Type 2 diabetes (T2D) is associated with significant cardiovascular (CV) morbidity and mortality. A single-nucleotide polymorphism (SNP) in the acetyl-coenzyme A carboxylase beta (ACACB) gene, rs2268388, reproducibly associates with diabetic nephropathy (DN). ACACB regulates fatty-acid oxidation. As such, we assessed whether ACACB SNP rs2268388 was associated with CV disease in Chinese individuals with T2D.Chinese individuals with T2D were genotyped for SNP rs2268388. Baseline demographics were recorded and clinical data regarding coronary, carotid, and peripheral arterial disease and congestive heart failure were retrieved from electronic patient records. Statistical analyses were performed to detect associations between the rs2268388 T risk allele with CV outcomes in the cohort.A total of 596 Chinese individuals with T2D were genotyped. Their mean age was 66.8 ± 10.9 years at the time of data extraction. Genotyping revealed 59.7%, 33.2% and 7.1% of the study population were non-carriers, heterozygous and homozygous carriers of the rs2268388 T risk allele in ACACB. No statistically significant correlations of the risk allele were observed with CV outcomes.These results did not demonstrate association between rs2268388 SNP in ACACB with CV outcomes in Chinese T2D patients. The ACACB gene and its role in CV risk susceptibility, via alterations in fatty acid oxidation, remains an interesting postulate and studies with larger cohort sizes and in different ethnic groups remain warranted.
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- 2022
5. Gene Set Enrichment Analsyes Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy
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Jie Jin Wang, Robert P. Igo, Barry I. Freedman, Jerome I. Rotter, Kathyrn P. Burdon, Alan D. Penman, Albert V. Smith, Xiaohui Li, Jamie E. Craig, Paul Mitchell, Brian L. Yaspan, Mary Frances Cotch, John M. Rouhana, Ayellet V. Segrè, Barbara E.K. Klein, Ashley Li, Richard A. Jensen, Gayatri Susarla, Lynn K. Stanwyck, Sudha K. Iyengar, Maggie C.Y. Ng, Ching J. Chen, Kent D. Taylor, Donald W. Bowden, Lucia Sobrin, Tien Yin Wong, Emily Y. Chew, Sharon G. Adler, Samuela Pollack, and Jane Z. Kuo
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Lipid catabolic process ,Clinical Sciences ,Genome-wide association study ,Type 2 diabetes ,Biology ,Ophthalmology & Optometry ,Polymorphism, Single Nucleotide ,Article ,Opthalmology and Optometry ,Risk Factors ,Diabetes Mellitus ,Genetics ,medicine ,2.1 Biological and endogenous factors ,Humans ,Interferon gamma ,Polymorphism ,Aetiology ,Eye Disease and Disorders of Vision ,Gene ,Metabolic and endocrine ,Lipid Transport ,Diabetic Retinopathy ,Catabolism ,Diabetes ,Human Genome ,Single Nucleotide ,medicine.disease ,Ophthalmology ,Diabetes Mellitus, Type 2 ,Public Health and Health Services ,Lipid digestion ,Type 2 ,Biotechnology ,Genome-Wide Association Study ,medicine.drug - Abstract
To identify functionally related genes associated with diabetic retinopathy (DR) risk using gene set enrichment analyses applied to genome-wide association study meta-analyses.MethodsWe analyzed DR GWAS meta-analyses performed on 3246 Europeans and 2611 African Americans with type 2 diabetes. Gene sets relevant to 5 key DR pathophysiology processes were investigated: tissue injury, vascular events, metabolic events and glial dysregulation, neuronal dysfunction, and inflammation. Keywords relevant to these processes were queried in 4 pathway and ontology databases. Two GSEA methods, Meta-Analysis Gene set Enrichment of variaNT Associations (MAGENTA) and Multi-marker Analysis of GenoMic Annotation (MAGMA), were used. Gene sets were defined to be enriched for gene associations with DR if the P value corrected for multiple testing (Pcorr) was
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- 2022
6. Rare genetic variants explain missing heritability in smoking
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Seon-Kyeong Jang, Luke Evans, Allison Fialkowski, Donna K. Arnett, Allison E. Ashley-Koch, Kathleen C. Barnes, Diane M. Becker, Joshua C. Bis, John Blangero, Eugene R. Bleecker, Meher Preethi Boorgula, Donald W. Bowden, Jennifer A. Brody, Brian E. Cade, Brenda W. Campbell Jenkins, April P. Carson, Sameer Chavan, L. Adrienne Cupples, Brian Custer, Scott M. Damrauer, Sean P. David, Mariza de Andrade, Carla L. Dinardo, Tasha E. Fingerlin, Myriam Fornage, Barry I. Freedman, Melanie E. Garrett, Sina A. Gharib, David C. Glahn, Jeffrey Haessler, Susan R. Heckbert, John E. Hokanson, Lifang Hou, Shih-Jen Hwang, Matthew C. Hyman, Renae Judy, Anne E. Justice, Robert C. Kaplan, Sharon L. R. Kardia, Shannon Kelly, Wonji Kim, Charles Kooperberg, Daniel Levy, Donald M. Lloyd-Jones, Ruth J. F. Loos, Ani W. Manichaikul, Mark T. Gladwin, Lisa Warsinger Martin, Mehdi Nouraie, Olle Melander, Deborah A. Meyers, Courtney G. Montgomery, Kari E. North, Elizabeth C. Oelsner, Nicholette D. Palmer, Marinelle Payton, Anna L. Peljto, Patricia A. Peyser, Michael Preuss, Bruce M. Psaty, Dandi Qiao, Daniel J. Rader, Nicholas Rafaels, Susan Redline, Robert M. Reed, Alexander P. Reiner, Stephen S. Rich, Jerome I. Rotter, David A. Schwartz, Aladdin H. Shadyab, Edwin K. Silverman, Nicholas L. Smith, J. Gustav Smith, Albert V. Smith, Jennifer A. Smith, Weihong Tang, Kent D. Taylor, Marilyn J. Telen, Ramachandran S. Vasan, Victor R. Gordeuk, Zhe Wang, Kerri L. Wiggins, Lisa R. Yanek, Ivana V. Yang, Kendra A. Young, Kristin L. Young, Yingze Zhang, Dajiang J. Liu, Matthew C. Keller, and Scott Vrieze
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Social Psychology ,Tobacco Smoke and Health ,Smoking ,Human Genome ,Experimental and Cognitive Psychology ,Single Nucleotide ,Polymorphism, Single Nucleotide ,Article ,Behavioral Neuroscience ,Phenotype ,Gene Frequency ,Tobacco ,Genetics ,Polymorphism ,Genome-Wide Association Study ,Cancer - Abstract
Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this 'missing heritability'. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74% of it attributable to rare variants with minor allele frequencies between 0.01% and 1%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60% to 100% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.
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- 2022
7. Recipient APOL1 Genotype Effects on Outcomes After Kidney Transplantation
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Alejandra M Mena-Gutierrez, Barry I. Freedman, and Lijun Ma
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medicine.medical_specialty ,Nephrology ,business.industry ,Internal medicine ,Genotype ,MEDLINE ,Medicine ,business ,medicine.disease ,Kidney transplantation - Published
- 2022
8. Diagnosis, Education, and Care of Patients with APOL1-Associated Nephropathy: A Delphi Consensus and Systematic Review
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Lucy Eberhard, Erika Blacksher, Michael E. Hall, Rasheed Gbadegesin, Glenda V. Roberts, John R. Sedor, Opeyemi A. Olabisi, Jasmin Divers, Jeffrey B. Kopp, Wylie Burke, Richard Knight, Tiffany Jones-Smith, Barry I. Freedman, Crystal A. Gadegbeku, Csaba P. Kovesdy, and Keith C. Norris
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medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,Best practice ,MEDLINE ,General Medicine ,Disease ,medicine.disease ,Health equity ,Nephropathy ,Clinical Research ,Nephrology ,Multidisciplinary approach ,Family medicine ,medicine ,business ,Genetic testing ,Kidney disease - Abstract
Background APOL1 variants contribute to the markedly higher incidence of ESKD in Blacks compared with Whites. Genetic testing for these variants in patients with African ancestry who have nephropathy is uncommon, and no specific treatment or management protocol for APOL1-associated nephropathy currently exists. Methods A multidisciplinary, racially diverse group of 14 experts and patient advocates participated in a Delphi consensus process to establish practical guidance for clinicians caring for patients who may have APOL1-associated nephropathy. Consensus group members took part in three anonymous voting rounds to develop consensus statements relating to the following: (1) counseling, genotyping, and diagnosis; (2) disease awareness and education; and (3) a vision for management of APOL1-associated nephropathy in a future when treatment is available. A systematic literature search of the MEDLINE and Embase databases was conducted to identify relevant evidence published from January 1, 2009 to July 14, 2020. Results The consensus group agreed on 55 consensus statements covering such topics as demographic and clinical factors that suggest a patient has APOL1-associated nephropathy, as well as key considerations for counseling, testing, and diagnosis in current clinical practice. They achieved consensus on the need to increase awareness among key stakeholders of racial health disparities in kidney disease and of APOL1-associated nephropathy and on features of a successful education program to raise awareness among the patient community. The group also highlighted the unmet need for a specific treatment and agreed on best practice for management of these patients should a treatment become available. Conclusions A multidisciplinary group of experts and patient advocates defined consensus-based guidance on the care of patients who may have APOL1-associated nephropathy.
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- 2021
9. APOL1 at 10 years: progress and next steps
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Barry I. Freedman, Matthew G. Sampson, Jeffrey B. Kopp, and Katalin Susztak
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0301 basic medicine ,Apolipoprotein L1 ,030232 urology & nephrology ,Disease ,Kidney ,Bioinformatics ,Article ,Nephropathy ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,Genotyping ,biology ,business.industry ,Glomerulosclerosis ,medicine.disease ,Phenotype ,030104 developmental biology ,medicine.anatomical_structure ,Haplotypes ,Nephrology ,biology.protein ,Kidney Diseases ,business ,Kidney disease - Abstract
APOL1 kidney risk variants (RVs) were identified in 2010 as major drivers of glomerular, tubulointerstitial and renal microvascular disease in individuals with sub-Saharan African ancestry. In December 2020, the “APOL1 at Ten” conference summarized the first decade of progress and discussed controversies and uncertainties that remain to be addressed. Topics included trypanosome infection and its role in the evolution of APOL1 kidney RVs, clinical phenotypes in APOL1-associated nephropathy, relationships between APOL1 RVs and background haplotypes on cell injury and molecular mechanisms initiating disease, the role of clinical APOL1 genotyping, and development of novel therapies for kidney disease. Future goals were defined, including improved characterization of various APOL1 RV phenotypes in patients and experimental pre-clinical models; further dissection of APOL1-mediated pathways to cellular injury and dysfunction in kidney (and other) cells; clarification of gene-gene and gene-environment interactions; and evaluation of the role for existing and novel therapies.
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- 2021
10. Urine APOL1 Isoforms Reflect Plasma-Derived Liver-Synthesized Proteins
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Peter J. Greasley, Pamela J. Hicks, Michael D. Gautreaux, Magnus Althage, Iain MacPhee, Lijun Ma, Tasso Miliotis, Barry I. Freedman, Nicholette D. Palmer, Anna Bogstedt, Timothy M. Heinrich, and Judith Hartleib-Geschwindner
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Adult ,Male ,Gene isoform ,Pathology ,medicine.medical_specialty ,Genotype ,Urine ,Kidney ,End stage renal disease ,Focal segmental glomerulosclerosis ,Humans ,Protein Isoforms ,Medicine ,Postoperative Period ,Kidney transplantation ,Aged ,business.industry ,Genetic Variation ,General Medicine ,Middle Aged ,Apolipoprotein L1 ,medicine.disease ,Kidney Transplantation ,Research Letters ,Human genetics ,medicine.anatomical_structure ,Nephrology ,Female ,business ,Kidney disease - Published
- 2021
11. Intensive Blood Pressure Control, APOL1 Genotype, and Kidney Outcomes in Individuals With Type 2 Diabetes: A Post Hoc Analysis of the Action to Control Cardiovascular Risk in Diabetes-Blood Pressure (ACCORD-BP) Trial
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Charles E. McCulloch, Timothy P. Copeland, Elaine Ku, Barry I. Freedman, and Alex Dinh
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Blood pressure control ,medicine.medical_specialty ,Kidney ,business.industry ,Type 2 diabetes ,medicine.disease ,Diseases of the genitourinary system. Urology ,Blood pressure ,medicine.anatomical_structure ,Nephrology ,Internal medicine ,Diabetes mellitus ,Post-hoc analysis ,Genotype ,Internal Medicine ,Cardiology ,medicine ,RC870-923 ,business - Published
- 2021
12. Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
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Kshama R. Mehta, Catherine P. Jayapandian, Alessia Fornoni, John R. Sedor, Sangeeta Hingorani, Barry I. Freedman, M. Bray, M. Schachere, Christine B. Sethna, L. Barisoni, A. Cooper, Matthias Kretzler, Miroslav Sekulic, Anne Froment, Lawrence A. Greenbaum, J. Blake, Jeffrey B. Kopp, M. Toledo, Yijiang Chen, J. Lalli, Richard A. Lafayette, M. Romano, Duncan B. Johnstone, Katherine R. Tuttle, Katherine MacRae Dell, Kamal Sambandam, Matthew B. Palmer, Marie C. Hogan, J. LaVigne, Frederick J. Kaskel, E. Lim, M. Rogers, Z. Wang, J. Negrey, S. Boynton, Fernando C. Fervenza, Deb Gipson, Vimal K. Derebail, Anant Madabhushi, Sharon G. Adler, Stephen M. Hewitt, Jen Jar Lin, Cynthia C. Nast, John H. Stroger, Clarissa A. Cassol, S. Grubbs, Laura Barisoni, Kevin E.C. Meyers, C. Kang, Jeffrey B. Hodgin, Paula Toro, Ambarish M. Athavale, Frank Modersitzki, Mathew Itteera, Olga Zhdanova, John C. Lieske, Heather N. Reich, G B Appel, John F. O’Toole, Howard Trachtman, S. Quinn-Boyle, Andrew Janowczyk, Suzanne Vento, Alicia M. Neu, Vladimir Chernitskiy, A. Jefferson, M. Kelton, Dan Cattran, Crystal A. Gadegbeku, P. Flynn, N. Kumar, Krishna Kallem, C. Bidot, Michelle Hladunewich, Keisha L. Gibson, Kevin V. Lemley, J. LaPage, A. Garrett, Lawrence B. Holzman, A. Williams, Tarak Srivastava, P. Ling, Jarcy Zee, K. Laurent, and Chia-shi Wang
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0301 basic medicine ,Kidney Cortex ,Biopsy ,030232 urology & nephrology ,H&E stain ,Magnification ,Kidney ,Peritubular capillaries ,03 medical and health sciences ,Deep Learning ,0302 clinical medicine ,Trichrome ,Medicine ,Segmentation ,Tuft ,Coloring Agents ,medicine.diagnostic_test ,urogenital system ,business.industry ,Digital pathology ,Anatomy ,030104 developmental biology ,medicine.anatomical_structure ,Nephrology ,business - Abstract
The application of deep learning for automated segmentation (delineation of boundaries) of histologic primitives (structures) from whole slide images can facilitate the establishment of novel protocols for kidney biopsy assessment. Here, we developed and validated deep learning networks for the segmentation of histologic structures on kidney biopsies and nephrectomies. For development, we examined 125 biopsies for Minimal Change Disease collected across 29 NEPTUNE enrolling centers along with 459 whole slide images stained with Hematoxylin & Eosin (125), Periodic Acid Schiff (125), Silver (102), and Trichrome (107) divided into training, validation and testing sets (ratio 6:1:3). Histologic structures were manually segmented (30048 total annotations) by five nephropathologists. Twenty deep learning models were trained with optimal digital magnification across the structures and stains. Periodic Acid Schiff-stained whole slide images yielded the best concordance between pathologists and deep learning segmentation across all structures (F-scores: 0.93 for glomerular tufts, 0.94 for glomerular tuft plus Bowman's capsule, 0.91 for proximal tubules, 0.93 for distal tubular segments, 0.81 for peritubular capillaries, and 0.85 for arteries and afferent arterioles). Optimal digital magnifications were 5X for glomerular tuft/tuft plus Bowman's capsule, 10X for proximal/distal tubule, arteries and afferent arterioles, and 40X for peritubular capillaries. Silver stained whole slide images yielded the worst deep learning performance. Thus, this largest study to date adapted deep learning for the segmentation of kidney histologic structures across multiple stains and pathology laboratories. All data used for training and testing and a detailed online tutorial will be publicly available.
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- 2021
13. APOL1 Risk Variants Impair Multiple Mitochondrial Pathways in a Metabolomics Analysis
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Young A Choi, Barry I. Freedman, Carl D. Langefeld, John S. Parks, James A. Snipes, Nicholette D. Palmer, Lijun Ma, and Mariana Murea
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0303 health sciences ,biology ,business.industry ,Apolipoprotein L1 ,HEK 293 cells ,030232 urology & nephrology ,Original Investigations ,General Medicine ,Computational biology ,medicine.disease ,Nephropathy ,Citric acid cycle ,03 medical and health sciences ,0302 clinical medicine ,Metabolomics ,biology.protein ,Medicine ,business ,Inner mitochondrial membrane ,Gene ,Beta oxidation ,030304 developmental biology - Abstract
Background: Kidney risk variants (KRVs) in the apolipoprotein L1 gene (APOL1) are associated with mitochondrial dysfunction. However, the molecular spectrum of metabolites impacted by the G1 and G2 KRVs and the downstream mitochondrial pathways they affect remain unknown. Methods: We performed a metabolomics analysis using HEK293 Tet-on cells conditionally expressing APOL1 G0, and G1 and G2 KRVs to determine the patterns of metabolites and pathways potentially involved in nephropathy. Welch9s two-sample t-test, matched pairs t-test, and two-way repeated measures ANOVA were employed to identify differential metabolites. Random Forest, a supervised classification algorithm that uses an ensemble of decision trees, and the mean decrease accuracy (MDA) metric were applied to prioritize top metabolites. Results: Alterations in the tricarboxylic acid cycle, increased fatty acid oxidation, and compromised redox homeostasis were the major pathways impacted by overexpression of APOL1 KRVs. Conclusion: Impairment of mitochondrial membrane respiratory chain complex I appeared to account for critical metabolic consequences of APOL1 KRVs. This finding supports depletion of the mitochondrial membrane potential, as has been reported.
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- 2020
14. Effects of Intensive Systolic Blood Pressure Control on All-Cause Hospitalizations
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Michael V. Rocco, Amret T. Hawfield, Miranda C. Marion, Carl D. Langefeld, Barry I. Freedman, and Mary E. Comeau
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Male ,Blood pressure control ,medicine.medical_specialty ,Blood Pressure ,030204 cardiovascular system & hematology ,Article ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Post-hoc analysis ,Internal Medicine ,medicine ,Humans ,030212 general & internal medicine ,Intervention trial ,Antihypertensive Agents ,Aged ,business.industry ,Blood Pressure Determination ,Middle Aged ,Hospitalization ,Treatment Outcome ,Blood pressure ,Hypertension ,Cardiology ,Female ,business ,All cause mortality - Abstract
Intensive blood pressure control decreases the rate of cardiovascular events by >25% compared with standard blood pressure control. We sought to determine whether the decrease in cardiovascular events seen with intensive blood pressure control is associated with an increased rate of other causes of hospitalization. This is a post hoc analysis of SPRINT (Systolic Blood Pressure Intervention Trial) in 9361 adult participants with hypertension and elevated cardiovascular risk. Participants were randomly assigned to an intensive or standard systolic blood pressure goal (P =0.37). Equivalence testing shows that these hospitalization rates were statistically equivalent at the P =0.05 level. Of those with hospitalizations, >1 hospitalization was seen in 38.8% of intensive arm participants and 41.9% of standard arm participants ( P =0.08). The mean cumulative count of nonprimary event hospitalizations was comparable between the two arms. The most common causes of hospitalization were cardiovascular (23.6%) followed by injuries, including bone and joint therapeutic procedures (15.7%), infections (12.0%), and nervous systems disorders (10.7%). No categories of hospitalization were statistically more common in the intensive arm compared with the standard arm. Thus, the decrease in cardiovascular events seen with intensive blood pressure control is not associated with an increased rate of other causes of hospitalization. Registration— URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01206062.
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- 2020
15. Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential
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Tetsushi, Nakao, Alexander G, Bick, Margaret A, Taub, Seyedeh M, Zekavat, Md M, Uddin, Abhishek, Niroula, Cara L, Carty, John, Lane, Michael C, Honigberg, Joshua S, Weinstock, Akhil, Pampana, Christopher J, Gibson, Gabriel K, Griffin, Shoa L, Clarke, Romit, Bhattacharya, Themistocles L, Assimes, Leslie S, Emery, Adrienne M, Stilp, Quenna, Wong, Jai, Broome, Cecelia A, Laurie, Alyna T, Khan, Albert V, Smith, Thomas W, Blackwell, Veryan, Codd, Christopher P, Nelson, Zachary T, Yoneda, Juan M, Peralta, Donald W, Bowden, Marguerite R, Irvin, Meher, Boorgula, Wei, Zhao, Lisa R, Yanek, Kerri L, Wiggins, James E, Hixson, C Charles, Gu, Gina M, Peloso, Dan M, Roden, Muagututi'a S, Reupena, Chii-Min, Hwu, Dawn L, DeMeo, Kari E, North, Shannon, Kelly, Solomon K, Musani, Joshua C, Bis, Donald M, Lloyd-Jones, Jill M, Johnsen, Michael, Preuss, Russell P, Tracy, Patricia A, Peyser, Dandi, Qiao, Pinkal, Desai, Joanne E, Curran, Barry I, Freedman, Hemant K, Tiwari, Sameer, Chavan, Jennifer A, Smith, Nicholas L, Smith, Tanika N, Kelly, Bertha, Hidalgo, L Adrienne, Cupples, Daniel E, Weeks, Nicola L, Hawley, Ryan L, Minster, Ranjan, Deka, Take T, Naseri, Lisa, de Las Fuentes, Laura M, Raffield, Alanna C, Morrison, Paul S, Vries, Christie M, Ballantyne, Eimear E, Kenny, Stephen S, Rich, Eric A, Whitsel, Michael H, Cho, M Benjamin, Shoemaker, Betty S, Pace, John, Blangero, Nicholette D, Palmer, Braxton D, Mitchell, Alan R, Shuldiner, Kathleen C, Barnes, Susan, Redline, Sharon L R, Kardia, Gonçalo R, Abecasis, Lewis C, Becker, Susan R, Heckbert, Jiang, He, Wendy, Post, Donna K, Arnett, Ramachandran S, Vasan, Dawood, Darbar, Scott T, Weiss, Stephen T, McGarvey, Mariza, de Andrade, Yii-Der Ida, Chen, Robert C, Kaplan, Deborah A, Meyers, Brian S, Custer, Adolfo, Correa, Bruce M, Psaty, Myriam, Fornage, JoAnn E, Manson, Eric, Boerwinkle, Barbara A, Konkle, Ruth J F, Loos, Jerome I, Rotter, Edwin K, Silverman, Charles, Kooperberg, John, Danesh, Nilesh J, Samani, Siddhartha, Jaiswal, Peter, Libby, Patrick T, Ellinor, Nathan, Pankratz, Benjamin L, Ebert, Alexander P, Reiner, Rasika A, Mathias, Ron, Do, and Pradeep, Natarajan
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Multidisciplinary - Abstract
Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in the Trans-Omics for Precision Medicine (TOPMed) program ( n = 63,302) and UK Biobank ( n = 47,080). Bidirectional Mendelian randomization studies were consistent with longer genetically imputed LTL increasing propensity to develop CHIP, but CHIP then, in turn, hastens to shorten measured LTL (mLTL). We also demonstrated evidence of modest mediation between CHIP and CAD by mLTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD.
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- 2022
16. APOL1-associated kidney disease in northern Nigerians with treated HIV infection
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Barry I. Freedman and Opeyemi A. Olabisi
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0301 basic medicine ,Kidney ,medicine.medical_specialty ,Proteinuria ,biology ,business.industry ,Apolipoprotein L1 ,Nigerians ,Incidence (epidemiology) ,030232 urology & nephrology ,Renal function ,medicine.disease ,Article ,Nephropathy ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,medicine.anatomical_structure ,Nephrology ,Internal medicine ,medicine ,biology.protein ,medicine.symptom ,business ,Kidney disease - Abstract
Apolipoprotein L1 (APOL1) high-risk genotypes strongly associate with HIV-associated nephropathy, and antiretroviral therapy reduces the incidence of HIV-associated nephropathy and progression to end-stage kidney disease. Wudil et al. report cross-sectional APOL1 associations with proteinuria and estimated glomerular filtration rate in a northern Nigerian sample with HIV infection on antiretroviral therapy. Multiple ethnic groups with different APOL1 risk variant frequencies were included. Overall, APOL1 was associated with proteinuric chronic kidney disease; however, relationships with underlying causes of nephropathy and progression rates require further study.
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- 2021
17. Cerebral hemodynamics in peritoneal dialysis versus intermittent hemodialysis: A transcranial Doppler pilot study
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Nathaniel O'Connell, Shivani Ghoshal, Charles H. Tegeler, and Barry I. Freedman
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medicine.medical_specialty ,Mean arterial pressure ,business.industry ,Coefficient of variation ,medicine.medical_treatment ,Hemodynamics ,Pilot Projects ,General Medicine ,Peritoneal dialysis ,Transcranial Doppler ,Intermittent hemodialysis ,Renal Dialysis ,Nephrology ,Chronic dialysis ,Cerebral hemodynamics ,Internal medicine ,medicine ,Cardiology ,Humans ,Hemodialysis ,business ,Peritoneal Dialysis ,Blood Flow Velocity - Abstract
This study evaluated intradialytic cerebral hemodynamics measured by transcranial Doppler (TCD) in intermittent hemodialysis (iHD) versus nightly peritoneal dialysis (NIPD). Intradialytic TCD was serially performed in chronic dialysis patients receiving iHD ( n = 10) and NIPD ( n = 10). A linear mixed model was used to model mean flow velocity (MFV), pulsatility index (PI), and mean arterial pressure (MAP) as functions of time and treatment group. Intradialytic cerebral volatility (IDCV) was calculated using the coefficient of variation (CV) and mean absolute value of change (AVC) of each patient’s MFV, PI, and MAP values over time. Mixed model analyses found no significant difference between MFV, PI, and MAP treatment groups in change over time, though volatility differed significantly. Mean CV values for MFV, PI, and MAP were higher in iHD than NIPD (MFV 0.22 vs. 0.10, p = 0.005; PI 0.14 vs. 0.08, p = 0.003; MAP 0.057 vs. 0.032, p = 0.009). AVC values were similarly higher in iHD compared to NIPD (MFV 8.26 vs. 4.43, p = 0.04; PI 0.17 vs. 0.084, p < 0.001; MAP 6.05 vs. 2.9, p = 0.003). PI, MFV, and MAP were more stable in NIPD than iHD, as measured by intradialytic TCD monitoring. This study identifies IDCV as a unique TCD metric for intradialytic cerebral hemodynamics.
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- 2020
18. Effects of Intensive Blood Pressure Control in Patients with and without Albuminuria
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Holly Kramer, Udayan Bhatt, Daniel E. Weiner, Donald E. Morisky, Alex R. Chang, Edward Horwitz, Barry M. Wall, Barry I. Freedman, Michael V. Rocco, William E. Haley, Vasilios Papademetriou, Amret T. Hawfield, Athena Zias, Debbie L. Cohen, Srinivasan Beddhu, Christopher J. McLouth, Dan R. Berlowitz, Morgan E. Grams, Henry Punzi, Paul E. Drawz, Robert Boucher, and Guo Wei
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Transplantation ,medicine.medical_specialty ,Post hoc ,Epidemiology ,business.industry ,Hazard ratio ,Critical Care and Intensive Care Medicine ,Confidence interval ,Clinical trial ,Blood pressure ,Sprint ,Nephrology ,Internal medicine ,medicine ,Albuminuria ,Cardiology ,In patient ,medicine.symptom ,business - Abstract
Background and objectives It is unclear whether the presence of albuminuria modifies the effects of intensive systolic BP control on risk of eGFR decline, cardiovascular events, or mortality. Design, setting, participants, & measurements The Systolic Blood Pressure Intervention Trial randomized nondiabetic adults ≥50 years of age at high cardiovascular risk to a systolic BP target of Results Over a median follow-up of 3.1 years, 69 of 1723 (4%) participants with baseline albuminuria developed ≥40% eGFR decline compared with 61 of 7162 (1%) participants without albuminuria. Incidence rates of ≥40% eGFR decline were higher in participants with albuminuria (intensive, 1.74 per 100 person-years; standard, 1.17 per 100 person-years) than in participants without albuminuria (intensive, 0.48 per 100 person-years; standard, 0.11 per 100 person-years). Although effects of intensive BP lowering on ≥40% eGFR decline varied by albuminuria on the relative scale (hazard ratio, 1.48; 95% confidence interval, 0.91 to 2.39 for albumin-creatinine ratio ≥30 mg/g; hazard ratio, 4.55; 95% confidence interval, 2.37 to 8.75 for albumin-creatinine ratio Conclusions Albuminuria did not modify the absolute benefits and risks of intensive systolic BP lowering.
- Published
- 2020
19. An Acidic Environment Induces APOL1-Associated Mitochondrial Fragmentation
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James A. Snipes, Anthony J.A. Molina, Jasmin Divers, Snezana Petrovic, Lijun Ma, Mariana Murea, DengFeng Li, and Barry I. Freedman
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Kidney ,biology ,business.industry ,Apolipoprotein L1 ,HEK 293 cells ,030232 urology & nephrology ,030204 cardiovascular system & hematology ,Mitochondrion ,medicine.disease ,Molecular biology ,Pathophysiology ,Nephropathy ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,Nephrology ,biology.protein ,Medicine ,Viability assay ,Fragmentation (cell biology) ,business - Abstract
Background: Apolipoprotein L1 gene (APOL1) G1 and G2 kidney-risk variants (KRVs) cause CKD in African Americans, inducing mitochondrial dysfunction. Modifying factors are required, because a minority of individuals with APOL1 high-risk genotypes develop nephropathy. Given that APOL1 function is pH-sensitive and the pH of the kidney interstitium is APOL1 KRV-induced mitochondrial dysfunction. Methods: Human embryonic kidney (HEK293) cells conditionally expressing empty vector (EV), APOL1-reference G0, and G1 or G2 KRVs were incubated in media pH 6.8 or 7.4 for 4, 6, or 8 h. Genotype-specific pH effects on mitochondrial length (µm) were assessed using confocal microscopy in live cells and Fiji derivative of ImageJ software with MiNA plug-in. Lower mitochondrial length indicated fragmentation and early dysfunction. Results: After 6 h doxycycline (Dox) induction in pH 6.8 media, G2-expressing cells had shorter mitochondria (6.54 ± 0.40) than cells expressing EV (7.65 ± 0.72, p = 0.02) or G0 (7.46 ± 0.31, p = 0.003). After 8 h Dox induction in pH 6.8 media, both G1- (6.21 ± 0.26) and G2-expressing cells had shorter mitochondria (6.46 ± 0.34) than cells expressing EV (7.13 ± 0.32, p = 0.002 and p = 0.008, respectively) or G0 (7.22 ± 0.45, p = 0.003 and p = 0.01, respectively). Mitochondrial length in cells incubated in pH 7.4 media were comparable after 8 h Dox induction regardless of genotype. APOL1 mRNA expression and cell viability were comparable regardless of pH or genotype after 8 h Dox induction. Conclusion: Acidic pH facilitates early mitochondrial dysfunction induced by APOL1 G1 and G2 KRVs in HEK293 cells. We propose that the acidic kidney interstitium may play a role in APOL1-mediated mitochondrial pathophysiology and nephropathy.
- Published
- 2020
20. Apolipoprotein L1 Gene Testing Comes of Age
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Christopher P. Larsen and Barry I. Freedman
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Nephrology ,medicine.medical_specialty ,Apolipoprotein L1 ,030232 urology & nephrology ,Lupus nephritis ,Disease ,030204 cardiovascular system & hematology ,Sickle cell nephropathy ,Nephropathy ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Genetic Testing ,biology ,business.industry ,Glomerulosclerosis ,General Medicine ,medicine.disease ,Kidney Transplantation ,Immunology ,biology.protein ,business ,Perspectives ,Kidney disease - Abstract
The landscape in nephrology changed dramatically in 2010 with the discovery of genetic association between two coding renal-risk variants (RRVs) in the apo L1 gene ( APOL1 ) and CKD (1). The APOL1 G1 and G2 nephropathy-associated variants arose
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- 2020
21. Employment status at transplant influences ethnic disparities in outcomes after deceased donor kidney transplantation
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Jasmin Divers, Sumit Mohan, W. Mark Brown, Stephen O. Pastan, Ajay K. Israni, Robert S. Gaston, Robert Bray, Shahidul Islam, Natalia V. Sakhovskaya, Alejandra M. Mena-Gutierrez, Amber M. Reeves-Daniel, Bruce A. Julian, and Barry I. Freedman
- Subjects
Allograft failure ,Adult ,Employment ,Male ,Kidney recipient mortality ,Outcome disparity ,Research ,Graft Survival ,Middle Aged ,Kidney Transplantation ,Diseases of the genitourinary system. Urology ,Tissue Donors ,United States ,Race Factors ,Black or African American ,Deceased donor kidney transplantation ,Employment status ,Nephrology ,Humans ,Kidney Failure, Chronic ,Transplantation, Homologous ,Female ,RC870-923 ,Proportional Hazards Models - Abstract
Background African American (AA) recipients of deceased-donor (DD) kidney transplants (KT) have shorter allograft survival than recipients of other ethnic groups. Reasons for this disparity encompass complex interactions between donors and recipients characteristics. Methods Outcomes from 3872 AA and 19,719 European American (EA) DDs who had one kidney transplanted in an AA recipient and one in an EA recipient were analyzed. Four donor/recipient pair groups (DRP) were studied, AA/AA, AA/EA, EA/AA, and EA/EA. Survival random forests and Cox proportional hazard models were fitted to rank and evaluate modifying effects of DRP on variables associated with allograft survival. These analyses sought to identify factors contributing to the observed disparities in transplant outcomes among AA and EA DDKT recipients. Results Transplant era, discharge serum creatinine, delayed graft function, and DRP were among the top predictors of allograft survival and mortality among DDKT recipients. Interaction effects between DRP with the kidney donor risk index and transplant era showed significant improvement in allograft survival over time in EA recipients. However, AA recipients appeared to have similar or poorer outcomes for DDKT performed after 2010 versus before 2001; allograft survival hazard ratios (95% CI) were 1.15 (0.74, 1.76) and 1.07 (0.8, 1.45) for AA/AA and EA/AA, compared to 0.62 (0.54, 0.71) and 0.5 (0.41, 0.62) for EA/EA and AA/EA DRP, respectively. Recipient mortality improved over time among all DRP, except unemployed AA/AAs. Relative to DDKT performed pre-2001, employed AA/AAs had HR = 0.37 (0.2, 0.69) versus 0.59 (0.31, 1.11) for unemployed AA/AA after 2010. Conclusion Relative to DDKT performed before 2001, similar or worse overall DCAS was observed among AA/AAs, while EA/EAs experienced considerable improvement regardless of employment status, KDRI, and EPTS. AA recipients of an AA DDKT, especially if unemployed, had worse allograft survival and mortality and did not appear to benefit from advances in care over the past 20 years.
- Published
- 2022
22. The impact of chronic kidney disease on cerebral hemodynamics: A transcranial Doppler study
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Barry I. Freedman, Charles H. Tegeler, Jonathan Gomez, Shivani Ghoshal, Sudhir Datar, and Aarti Sarwal
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medicine.medical_specialty ,Ultrasonography, Doppler, Transcranial ,030232 urology & nephrology ,Disease ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Renal Insufficiency, Chronic ,Stroke ,business.industry ,medicine.disease ,Transcranial Doppler ,Neurology ,Cerebral hemodynamics ,Cerebrovascular Circulation ,Cardiology ,Vascular Resistance ,Neurology (clinical) ,Small vessel ,Cardiology and Cardiovascular Medicine ,business ,Blood Flow Velocity ,Rapid Communication ,030217 neurology & neurosurgery ,Kidney disease - Abstract
Chronic kidney disease (CKD) independently increases the risk of stroke and small vessel disease (SVD). This study compared SVD and a transcranial Doppler (TCD)-based marker of intracranial vascular resistance (pulsatility index, PI) in post-stroke patients with and without CKD. Between January 2015 and December 2017, 118 individuals with stable eGFR (50 with CKD) had cerebral MRI and TCD within three months of a stroke. The means of bilateral PI in anterior (anterior cerebral [ACA] and middle cerebral arteries [MCA]) and posterior vessels (posterior cerebral [PCA] and vertebral arteries [VA]) were computed. CKD strongly correlated with higher distal resistance (median CKD ACA PI 1.2, IQR 1.0 to 1.35 vs. controls 0.91 IQR 0.79 to 1.1 [ p 4 IQR 2.66 to 7.76 × 104 voxels vs. controls median SVD 6.7 × 103 IQR 2.4 to 24.0 × 103 [ p
- Published
- 2019
23. Symptoms Suggestive of Gastroparesis in a Community-Based Cohort of European Americans and African Americans with Type 2 Diabetes Mellitus
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Kenneth L. Koch, Donald W. Bowden, Landon K. Brown, Jianzhao Xu, Fang-Chi Hsu, and Barry I. Freedman
- Subjects
Male ,medicine.medical_specialty ,Gastroparesis ,Physiology ,Population ,Severity of Illness Index ,White People ,Article ,Cohort Studies ,Quality of life ,Internal medicine ,Diabetes mellitus ,North Carolina ,Prevalence ,medicine ,Humans ,education ,Depression (differential diagnoses) ,Aged ,education.field_of_study ,business.industry ,Gastroenterology ,Type 2 Diabetes Mellitus ,Middle Aged ,medicine.disease ,Black or African American ,Diabetes Mellitus, Type 2 ,Cohort ,Anxiety ,Female ,medicine.symptom ,business - Abstract
BACKGROUND: Although gastroparesis is seen in patients with type 2 diabetes mellitus (T2DM), the prevalence of symptoms suggestive of gastroparesis in patients with T2DM is unknown, particularly among African Americans. AIMS: To determine the prevalence of symptoms associated with gastroparesis in a large community-based population of European Americans and African Americans with T2DM. METHODS: Individuals with T2DM in the Diabetes Heart Study were asked to complete the gastroparesis cardinal symptom index (GCSI) and other GI-related questionnaires. GCSI total score ≥ 18 represented moderate or worse symptoms suggestive of gastroparesis. RESULTS: A total of 1253 participants (700 female, 553 male) completed the GCSI: 750 were European American and 503 African American. GCSI scores ≥ 18 were recorded in 72 participants: 38 (5%) of European Americans and 34 (7%) of African Americans. The average GCSI was 24.1 in European Americans and 24.6 in African Americans, indicating moderate to severe symptoms. Compared to European Americans with GCSI scores ≥ 18, African Americans were younger (59.4 vs. 53.3 years, p = 0.004), had earlier onset of T2DM (46.3 vs. 40.1 years, p = 0.01), higher HbA1c (7.6 vs. 9.1, p = 0.0009), underwent fewer upper endoscopies (55.3% vs. 26.5%, p = 0.02), and had more anxiety and depression (p < 0.001). CONCLUSIONS: Moderate or greater symptoms suggestive of gastroparesis are present in 5–7% of European and African American patients with T2DM in community-based populations. Symptoms suggestive of gastroparesis may be underappreciated in patients with T2DM and account for upper gastrointestinal symptoms, unexplained glycemic control issues, and decreased quality of life.
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- 2019
24. Clonal hematopoiesis is driven by aberrant activation of TCL1A
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Joshua S. Weinstock, Jayakrishnan Gopakumar, Bala Bharathi Burugula, Md Mesbah Uddin, Nikolaus Jahn, Julia A. Belk, Bence Daniel, Nghi Ly, Taralyn M. Mack, Cecelia A. Laurie, Jai G. Broome, Kent D. Taylor, Xiuqing Guo, Moritz F. Sinner, Aenne S. von Falkenhausen, Stefan Kääb, Alan R. Shuldiner, Jeffrey R. O’Connell, Joshua P. Lewis, Eric Boerwinkle, Kathleen C. Barnes, Nathalie Chami, Eimear E. Kenny, Ruth J. Loos, Myriam Fornage, Lifang Hou, Donald M. Lloyd-Jones, Susan Redline, Brian E. Cade, Bruce M. Psaty, Joshua C. Bis, Jennifer A. Brody, Edwin K. Silverman, Jeong H. Yun, Dandi Qiao, Nicholette D. Palmer, Barry I. Freedman, Donald W. Bowden, Michael H. Cho, Dawn L. DeMeo, Ramachandran S. Vasan, Lisa R. Yanek, Lewis C. Becker, Sharon Kardia, Patricia A. Peyser, Jiang He, Michiel Rienstra, Pim Van der Harst, Robert Kaplan, Susan R. Heckbert, Nicholas L. Smith, Kerri L. Wiggins, Donna K. Arnett, Marguerite R. Irvin, Hemant Tiwari, Michael J. Cutler, Stacey Knight, J Brent. Muhlestein, Adolfo Correa, Laura M. Raffield, Yan Gao, Mariza de Andrade, Jerome I. Rotter, Stephen S. Rich, Russell P. Tracy, Barbara A. Konkle, Jill M. Johnsen, Marsha M. Wheeler, J. Gustav Smith, Olle Melander, Peter M. Nilsson, Brian S. Custer, Ravindranath Duggirala, Joanne E. Curran, John Blangero, Stephen McGarvey, L. Keoki Williams, Shujie Xiao, Mao Yang, C. Charles. Gu, Yii-Der Ida. Chen, Wen-Jane Lee, Gregory M. Marcus, John P. Kane, Clive R. Pullinger, M. Benjamin Shoemaker, Dawood Darbar, Dan Roden, Christine Albert, Charles Kooperberg, Ying Zhou, JoAnn E. Manson, Pinkal Desai, Andrew Johnson, Rasika Mathias, Thomas W. Blackwell, Goncalo R. Abecasis, Albert V. Smith, Hyun M. Kang, Ansuman T. Satpathy, Pradeep Natarajan, Jacob Kitzman, Eric Whitsel, Alexander P. Reiner, Alexander G. Bick, and Sidd Jaiswal
- Abstract
A diverse set of driver genes, such as regulators of DNA methylation, RNA splicing, and chromatin remodeling, have been associated with pre-malignant clonal expansion of hematopoietic stem cells (HSCs). The factors mediating expansion of these mutant clones remain largely unknown, partially due to a paucity of large cohorts with longitudinal blood sampling. To circumvent this limitation, we developed and validated a method to infer clonal expansion rate from single timepoint data called PACER (passenger-approximated clonal expansion rate). Applying PACER to 5,071 persons with clonal hematopoiesis accurately recapitulated the known fitness effects due to different driver mutations. A genome-wide association study of PACER revealed that a common inherited polymorphism in the TCL1A promoter was associated with slower clonal expansion. Those carrying two copies of this protective allele had up to 80% reduced odds of having driver mutations in TET2, ASXL1, SF3B1, SRSF2, and JAK2, but not DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 by CRISPR editing led to aberrant expression of TCL1A and expansion of HSCs in vitro. These effects were abrogated in HSCs from donors carrying the protective TCL1A allele. Our results indicate that the fitness advantage of multiple common driver genes in clonal hematopoiesis is mediated through TCL1A activation. PACER is an approach that can be widely applied to uncover genetic and environmental determinants of pre-malignant clonal expansion in blood and other tissues.
- Published
- 2021
25. Plasma metabolomic profiling in subclinical atherosclerosis: the Diabetes Heart Study
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Parag Anilkumar Chevli, Barry I. Freedman, Fang-Chi Hsu, Jianzhao Xu, Megan E. Rudock, Lijun Ma, John S. Parks, Nicholette D. Palmer, and Michael D. Shapiro
- Subjects
Male ,Spectrometry, Mass, Electrospray Ionization ,Endocrinology, Diabetes and Metabolism ,Coronary Artery Disease ,Risk Assessment ,Coronary artery calcium ,White People ,Diabetes mellitus ,Predictive Value of Tests ,Risk Factors ,Tandem Mass Spectrometry ,North Carolina ,Diseases of the circulatory (Cardiovascular) system ,Humans ,Metabolomics ,European Americans ,Aged ,Original Investigation ,African Americans ,Chromatography, Reverse-Phase ,Middle Aged ,Cardiovascular disease ,Black or African American ,Cross-Sectional Studies ,Diabetes Mellitus, Type 2 ,RC666-701 ,Asymptomatic Diseases ,Metabolome ,Female ,Cardiology and Cardiovascular Medicine ,Biomarkers - Abstract
Background Incidence rates of cardiovascular disease (CVD) are increasing, partly driven by the diabetes epidemic. Novel prediction tools and modifiable treatment targets are needed to enhance risk assessment and management. Plasma metabolite associations with subclinical atherosclerosis were investigated in the Diabetes Heart Study (DHS), a cohort enriched for type 2 diabetes (T2D). Methods The analysis included 700 DHS participants, 438 African Americans (AAs), and 262 European Americans (EAs), in whom coronary artery calcium (CAC) was assessed using ECG-gated computed tomography. Plasma metabolomics using liquid chromatography-mass spectrometry identified 853 known metabolites. An ancestry-specific marginal model incorporating generalized estimating equations examined associations between metabolites and CAC (log-transformed (CAC + 1) as outcome measure). Models were adjusted for age, sex, BMI, diabetes duration, date of plasma collection, time between plasma collection and CT exam, low-density lipoprotein cholesterol (LDL-C), and statin use. Results At an FDR-corrected p-value Conclusions Strikingly different metabolic signatures were associated with subclinical coronary atherosclerosis in AA and EA DHS participants.
- Published
- 2021
26. APOL1 Genetic Testing in Patients With Recent African Ancestry and Hypertension: A Pilot Study of Attitudes and Perceptions
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Krista L. Lentine, Anthony N. Muiru, Kathryn K. Lindsay, Yasar Caliskan, John C. Edwards, Aliza Anwar Memon, Amy K. Mosman, Kana N. Miyata, Than-Mai Vo, Barry I. Freedman, Amber Carriker, Chi-yuan Hsu, and Marie D. Philipneri
- Subjects
Nephrology ,Internal Medicine - Published
- 2022
27. A framework for detecting noncoding rare variant associations of large-scale whole-genome sequencing studies
- Author
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Adolfo Correa, Corbin Quick, Jennifer A. Brody, Daniel E. Weeks, Rounak Dey, Joanne E. Curran, Charles Kooperberg, Wei Zhao, Brian G. Kral, Lisa W. Martin, Christen J. Willer, Donald W. Bowden, Eric Boerwinkle, Theodore Arapoglou, Joshua C. Bis, Barry I. Freedman, Leslie A. Lange, Ryan Sun, James G. Wilson, Lawrence F. Bielak, May E. Montasser, Kent D. Taylor, Jerome I. Rotter, Ramachandran S. Vasan, L. Adrienne Cupples, Rita R. Kalyani, Hufeng Zhou, Ani Manichaikul, John Blangero, Han Chen, Patricia A. Peyser, Stephen S. Rich, Brian E. Cade, Sheila M. Gaynor, Paul S. de Vries, Xihong Lin, Susan Redline, Thomas W. Blackwell, Margaret Sunitha Selvaraj, Jeffrey R. O'Connell, Xihao Li, Bruce M. Psaty, Ravindranath Duggirala, Matthew P. Conomos, Kenneth Rice, Donna K. Arnett, Muagututi‘a Sefuiva Reupena, Alanna C. Morrison, Nicholette D. Palmer, Jennifer A. Smith, Harald H H Göring, Alexander P. Reiner, Lisa R. Yanek, Braxton D. Mitchell, Laura M. Raffield, Yaowu Liu, Xiuqing Guo, Gina M. Peloso, Zilin Li, Pradeep Natarajan, and Take Naseri
- Subjects
Whole genome sequencing ,Technology ,Genome ,Whole Genome Sequencing ,Human Genome ,Genetic Variation ,Scale (descriptive set theory) ,Computational biology ,Replicate ,TOPMed Lipids Working Group ,Biological Sciences ,Biology ,Medical and Health Sciences ,Annotation ,NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium ,Phenotype ,Good Health and Well Being ,Genetics ,Humans ,Generic health relevance ,Genome-Wide Association Study ,Biotechnology ,Developmental Biology ,Genetic association - Abstract
Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare variants’ (RVs) associations with complex human traits. Variant set analysis is a powerful approach to study RV association, and a key component of it is constructing RV sets for analysis. However, existing methods have limited ability to define analysis units in the noncoding genome. Furthermore, there is a lack of robust pipelines for comprehensive and scalable noncoding RV association analysis. Here we propose a computationally-efficient noncoding RV association-detection framework that uses STAAR (variant-set test for association using annotation information) to group noncoding variants in gene-centric analysis based on functional categories. We also propose SCANG (scan the genome)-STAAR, which uses dynamic window sizes and incorporates multiple functional annotations, in a non-gene-centric analysis. We furthermore develop STAARpipeline to perform flexible noncoding RV association analysis, including gene-centric analysis as well as fixed-window-based and dynamic-window-based non-gene-centric analysis. We apply STAARpipeline to identify noncoding RV sets associated with four quantitative lipid traits in 21,015 discovery samples from the Trans-Omics for Precision Medicine (TOPMed) program and replicate several noncoding RV associations in an additional 9,123 TOPMed samples.
- Published
- 2021
28. Intensive Blood Pressure Control
- Author
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Alex, Dinh, Timothy, Copeland, Barry I, Freedman, Charles E, McCulloch, and Elaine, Ku
- Subjects
Correspondence ,Research Letter - Published
- 2021
29. Whole genome sequence analysis of blood lipid levels in >66,000 individuals
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Akhil Pampana, Xiuqing Guo, Tanika N. Kelly, Yii-Der Ida Chen, Charles Kooperberg, Chii-Min Hwu, Mariaelisa Graff, Jiang He, Xihao Li, Patrick T. Ellinor, Joshua C. Bis, Kari E. North, Nancy L. Heard-Costa, Joseph Park, Stacey Gabriel, Joanne E. Curran, Braxton D. Mitchell, Lee-Ming Chuang, Ravindranath Duggirala, Jerome I. Rotter, Robert C. Kaplan, Soren Germer, Pradeep Natarajan, Take Naseri, Xihong Lin, Susan K. Dutcher, Stella Aslibekyan, Ryan W. Kim, Daniel J. Rader, Richard A. Gibbs, Myriam Fornage, Eric Boerwinkle, Bertha Hidalgo, Muagututi’a S. Reupena, Deborah A. Nickerson, Zhe Wang, Donald W. Bowden, Yuxuan Wang, Alanna C. Morrison, Stephen S. Rich, David Zhang, Gina M. Peloso, Xiaohui Li, Martin Lisa, Lisa de las Fuentes, Zilin Li, Alexander P. Reiner, Jennifer A. Brody, Lisa R. Yanek, Marguerite R. Irvin, Bruce M. Psaty, Bao Wei, Preuss Michael, Leslie A. Lange, John T. Wilkins, Russell P. Tracy, Paul S. de Vries, Wei Zhao, Rasika A. Mathias, Susan Redline, Xiao Sun, Kent D. Taylor, Barry I. Freedman, Ani Manichaikul, Donna K. Arnett, Nicholette D. Palmer, Cristen J. Willer, Steven A. Lubitz, Sharon L.R. Kardia, L. Adrienne Cupples, Ramachandran S. Vasan, May E. Montasser, Ren-Hua Chung, Margaret Sunitha Selvaraj, Jeffrey R. O'Connell, Ruth J. F. Loos, Jennifer A. Smith, John Blangero, Brian G. Kral, Karine A. Viaud Martinez, Stephen T. McGarvey, Adolfo Correa, Michael Y. Tsai, Patricia A. Peyser, and Brian E. Cade
- Subjects
Genetics ,Whole genome sequencing ,Genome Scan ,Blood lipids ,Biology ,medicine.disease ,Genome ,symbols.namesake ,Mendelian inheritance ,symbols ,medicine ,lipids (amino acids, peptides, and proteins) ,Allele ,Gene ,Dyslipidemia - Abstract
Plasma lipids are heritable modifiable causal factors for coronary artery disease, the leading cause of death globally. Despite the well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing, partly due to limited sample sizes, ancestral diversity, and interpretation of potential clinical significance. Increasingly larger whole genome sequence datasets with plasma lipids coupled with methodologic advances enable us to more fully catalog the allelic spectrum for lipids. Here, among 66,329 ancestrally diverse (56% non-European ancestry) participants, we associate 428M variants from deep-coverage whole genome sequences with plasma lipids. Approximately 400M of these variants were not studied in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with plasma lipids through analysis of common and rare coding variants. We additionally discover several significantly associated rare non-coding variants largely at Mendelian lipid genes. Notably, we detect rareLDLRintronic variants associated with markedly increased LDL-C, similar to rareLDLRexonic variants. In conclusion, we conducted a systematic whole genome scan for plasma lipids expanding the alleles linked to lipids for multiple ancestries and characterize a clinically-relevant rare non-coding variant model for lipids.
- Published
- 2021
30. Whole genome sequence analysis of blood lipid levels in66,000 individuals
- Author
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Margaret Sunitha, Selvaraj, Xihao, Li, Zilin, Li, Akhil, Pampana, David Y, Zhang, Joseph, Park, Stella, Aslibekyan, Joshua C, Bis, Jennifer A, Brody, Brian E, Cade, Lee-Ming, Chuang, Ren-Hua, Chung, Joanne E, Curran, Lisa, de Las Fuentes, Paul S, de Vries, Ravindranath, Duggirala, Barry I, Freedman, Mariaelisa, Graff, Xiuqing, Guo, Nancy, Heard-Costa, Bertha, Hidalgo, Chii-Min, Hwu, Marguerite R, Irvin, Tanika N, Kelly, Brian G, Kral, Leslie, Lange, Xiaohui, Li, Martin, Lisa, Steven A, Lubitz, Ani W, Manichaikul, Preuss, Michael, May E, Montasser, Alanna C, Morrison, Take, Naseri, Jeffrey R, O'Connell, Nicholette D, Palmer, Patricia A, Peyser, Muagututia S, Reupena, Jennifer A, Smith, Xiao, Sun, Kent D, Taylor, Russell P, Tracy, Michael Y, Tsai, Zhe, Wang, Yuxuan, Wang, Wei, Bao, John T, Wilkins, Lisa R, Yanek, Wei, Zhao, Donna K, Arnett, John, Blangero, Eric, Boerwinkle, Donald W, Bowden, Yii-Der Ida, Chen, Adolfo, Correa, L Adrienne, Cupples, Susan K, Dutcher, Patrick T, Ellinor, Myriam, Fornage, Stacey, Gabriel, Soren, Germer, Richard, Gibbs, Jiang, He, Robert C, Kaplan, Sharon L R, Kardia, Ryan, Kim, Charles, Kooperberg, Ruth J F, Loos, Karine A, Viaud-Martinez, Rasika A, Mathias, Stephen T, McGarvey, Braxton D, Mitchell, Deborah, Nickerson, Kari E, North, Bruce M, Psaty, Susan, Redline, Alexander P, Reiner, Ramachandran S, Vasan, Stephen S, Rich, Cristen, Willer, Jerome I, Rotter, Daniel J, Rader, Xihong, Lin, Gina M, Peloso, and Sebastian, Zoellner
- Subjects
Multidisciplinary ,Whole Genome Sequencing ,General Physics and Astronomy ,Humans ,General Chemistry ,Cholesterol, LDL ,Lipids ,General Biochemistry, Genetics and Molecular Biology ,Alleles ,Genome-Wide Association Study - Abstract
Blood lipids are heritable modifiable causal factors for coronary artery disease. Despite well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing (WGS), partly due to limited sample sizes, ancestral diversity, and interpretation of clinical significance. Among 66,329 ancestrally diverse (56% non-European) participants, we associate 428M variants from deep-coverage WGS with lipid levels; ~400M variants were not assessed in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with blood lipids through analysis of common and rare coding variants. We discover several associated rare non-coding variants, largely at Mendelian lipid genes. Notably, we observe rare LDLR intronic variants associated with markedly increased LDL-C, similar to rare LDLR exonic variants. In conclusion, we conducted a systematic whole genome scan for blood lipids expanding the alleles linked to lipids for multiple ancestries and characterize a clinically-relevant rare non-coding variant model for lipids.
- Published
- 2021
31. Factors Influencing Ethnic Disparities in Outcomes after Deceased Donor Kidney Transplantation
- Author
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Alejandra M Mena-Gutierrez, Bruce A. Julian, Amber Reeves-Daniel, Jasmin Divers, Shahidul Islam, W. M Brown, Robert S. Gaston, N. Sakhovskaya, Ajay K. Israni, Stephen O. Pastan, Sumit Mohan, Barry I. Freedman, and Robert A. Bray
- Subjects
Transplantation ,Deceased donor kidney ,medicine.medical_specialty ,business.industry ,medicine ,Ethnic group ,Intensive care medicine ,business - Abstract
Background: African American (AA) recipients of deceased-donor (DD) kidney transplants (KT) have shorter allograft survival than recipients of other ethnic groups. Reasons for this disparity encompass complex interactions between donors and recipients characteristics. Methods: Outcomes from 3,872 AA and 19,719 European American (EA) DDs who had one kidney transplanted in an AA recipient and one in an EA recipient were analyzed. Four donor/recipient pair groups (DRP) were studied, AA/AA, AA/EA, EA/AA, and EA/EA. Survival random forests and Cox proportional hazard models were fitted to rank and evaluate modifying effects of DRP on variables associated with allograft survival. These analyses sought to identify factors contributing to the observed disparities in transplant outcomes among AA and EA DDKT recipients. Results: Transplant era, discharge serum creatinine, delayed graft function, and DRP were among the top predictors of allograft survival and mortality among DDKT recipients. Interaction effects between DRP with the kidney donor risk index and transplant era showed significant improvement in allograft survival over time in EA recipients. However, AA recipients appeared to have similar or poorer outcomes for DDKT performed after 2010 versus before 2001; allograft survival hazard ratios (95% CI) were 1.15 (0.74, 1.76) and 1.07 (0.8, 1.45) for AA/AA and EA/AA, compared to 0.62 (0.54, 0.71) and 0.5 (0.41, 0.62) for EA/EA and AA/EA DRP, respectively. Recipient mortality improved over time among all DRP, except unemployed AA/AAs. Relative to DDKT performed pre-2001, employed AA/AAs had HR=0.37 (0.2, 0.69) versus 0.59 (0.31, 1.11) for unemployed AA/AA after 2010. Conclusion: Relative to DDKT performed before 2001, similar or worse overall DCAS was observed among AA/AAs, while EA/EAs experienced considerable improvement regardless of employment status, KDRI, and EPTS. AA recipients of an AA DDKT, especially if unemployed, had worse allograft survival and mortality and did not appear to benefit from advances in care over the past 20 years.
- Published
- 2021
32. Research Priorities for Kidney-Related Research-An Agenda to Advance Kidney Care: A Position Statement From the National Kidney Foundation
- Author
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Nora Franceschini, John Cijiang He, Erich P. Ditschman, Jonathan Himmelfarb, Ryan Murray, Holly Mattix Kramer, Deidra C. Crews, Joe Ix, Silvia Ferrè, Jennifer E. Flythe, Robert Friedman, Steve L. Seliger, János Peti-Peterdi, Troy Zimmerman, Anne Rohall-Andrade, Precious McCowan, Bessie A. Young, Sylvia E. Rosas, Kerry Willis, Bryan Kestenbaum, Nisha Bansal, Janine Reed, Arlene B. Chapman, John David Spencer, Jay L. Koyner, Joseph A. Vassalotti, Barry I. Freedman, Samir M. Parikh, Susan E. Quaggin, Benjamin D. Humphreys, Opeyemi A. Olabisi, Julie J. Scialla, Mary Baliker, Holly Kramer, Shuta Ishibe, Sharon Pearce, Orlando M. Gutiérrez, Kevin J. Fowler, Mark J. Sarnak, Peter C. Harris, Katalin Susztak, Matthew D. Breyer, Nichole Jefferson, Paul M. Palevsky, Joseph V. Bonventre, Ian H. de Boer, Eddie Siew, and Glenda V. Roberts
- Subjects
Nephrology ,medicine.medical_specialty ,business.industry ,Research ,Psychological intervention ,Disease ,medicine.disease ,Kidney ,Health equity ,United States ,Clinical trial ,Clinical research ,Nursing ,Internal medicine ,Medicine ,Humans ,Diabetic Nephropathies ,Renal Insufficiency, Chronic ,business ,Kidney disease ,Pharmaceutical industry - Abstract
Despite the high prevalence and economic burden of chronic kidney disease (CKD) in the United States, federal funding for kidney-related research, prevention, and education activities under the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) remains substantially lower compared to other chronic diseases. More federal support is needed to promote critical research that will expand knowledge of kidney health and disease, develop new and effective therapies, and reduce health disparities. In 2021, the National Kidney Foundation (NKF) convened 2 Research Roundtables (preclinical and clinical research), comprising nephrology leaders from prominent US academic institutions and the pharmaceutical industry, key bodies with expertise in research, and including individuals with CKD and their caregivers and kidney donors. The goal of these roundtables was to identify priorities for preclinical and clinical kidney-related research. The research priorities identified by the Research Roundtables and presented in this position statement outline attainable opportunities for groundbreaking and critically needed innovations that will benefit patients with kidney disease in the next 5-10 years. Research priorities fall within 4 preclinical science themes (expand data science capability, define kidney disease mechanisms and utilize genetic tools to identify new therapeutic targets, develop better models of human disease, and test cell-specific drug delivery systems and utilize gene editing) and 3 clinical science themes (expand number and inclusivity of clinical trials, develop and test interventions to reduce health disparities, and support implementation science). These priorities in kidney-related research, if supported by additional funding by federal agencies, will increase our understanding of the development and progression of kidney disease among diverse populations, attract additional industry investment, and lead to new and more personalized treatments.
- Published
- 2021
33. The Impact of APOL1 on Chronic Kidney Disease and Hypertension
- Author
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Todd W. Robinson and Barry I. Freedman
- Subjects
medicine.medical_specialty ,Apolipoprotein L1 ,030232 urology & nephrology ,Lupus nephritis ,Black People ,Secondary hypertension ,030204 cardiovascular system & hematology ,Essential hypertension ,Sickle cell nephropathy ,Article ,Nephropathy ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Renal Insufficiency, Chronic ,Nephrosclerosis ,biology ,Glomerulosclerosis, Focal Segmental ,business.industry ,Glomerulosclerosis ,medicine.disease ,Lupus Nephritis ,Proteinuria ,Nephrology ,Hypertension ,Cardiology ,biology.protein ,Essential Hypertension ,business ,Kidney disease - Abstract
Essential hypertension is a clinical diagnosis based upon the presence of an elevated systemic blood pressure on physical examination without a clear inciting cause. It has multiple etiologies and is not a homogeneous disorder. Hypertension contributes to the development and progression of atherosclerotic cardiovascular disease and anti-hypertensive treatment reduces the risk of fatal and non-fatal myocardial infarction, stroke and congestive heart failure. Although hypertension is frequently present in non-diabetic individuals with low levels of proteinuria and chronic kidney disease, reducing blood pressures in this population does not reliably slow nephropathy progression. Many of these patients with recent African ancestry have the primary kidney disease “solidified glomerulosclerosis” that is strongly associated with apolipoprotein L1 gene (APOL1) renal-risk variants. This kidney disease contributes to secondarily elevated blood pressures. The APOL1-associated spectrum of non-diabetic nephropathy also includes proteinuric kidney diseases idiopathic focal segmental glomerulosclerosis (FSGS), collapsing glomerulopathy, severe lupus nephritis and sickle cell nephropathy. This article reviews relationships between mild-to-moderate essential hypertension and chronic kidney disease with a focus on the role of APOL1 in development of hypertension. Available evidence strongly supports that APOL1 renal-risk variants associate with glomerulosclerosis in African Americans which then causes secondary hypertension, not with essential hypertension per se.
- Published
- 2019
34. Mechanisms of Injury in APOL1-associated Kidney Disease
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Barry I. Freedman, Lijun Ma, and Jasmin Divers
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Risk ,Genotype ,Apolipoprotein L1 ,Mice, Transgenic ,030230 surgery ,Kidney ,Bioinformatics ,Article ,Nephropathy ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,medicine ,Animals ,Humans ,Renal Insufficiency ,Kidney surgery ,Renal Insufficiency, Chronic ,Kidney transplantation ,Transplantation ,biology ,business.industry ,Graft Survival ,Kidney metabolism ,medicine.disease ,Kidney Transplantation ,Tissue Donors ,Black or African American ,Treatment Outcome ,medicine.anatomical_structure ,Disease Progression ,biology.protein ,Kidney Failure, Chronic ,Gene-Environment Interaction ,030211 gastroenterology & hepatology ,Patient Safety ,business ,Kidney disease - Abstract
BACKGROUND: An improved understanding of the pathogenesis in apolipoprotein L1 gene (APOL1)-gene associated chronic kidney disease (CKD) arose from observations in kidney transplantation. APOL1 genotyping could soon improve the safety of living kidney donation in individuals with recent African ancestry and alter the allocation of deceased donor kidneys. METHODS: This manuscript reviews the potential mechanisms that underlie development of APOL1-associated nephropathy. Roles for circulating APOL1 protein versus intrinsic renal expression of APOL1 are discussed, as well as the requirement for modifying genetic and/or environmental factors. RESULTS: Abundant evidence supports local kidney production of APOL1 renal-risk variant protein in the development of nephropathy; this is true in both native kidney disease and after renal transplantation. Only a minority of kidneys from individuals with APOL1 high-risk genotypes will develop CKD or manifest shorter renal allograft survival after transplantation. Therefore, modifying factors that explain why only a subset of kidneys develops nephropathy remain critical to identify. It appears likely that environmental exposures, as opposed to major APOL1-second gene interactions, will prove to be stronger modifiers of the risk for nephropathy. CONCLUSIONS: The evolving understanding of the pathogenesis in APOL1-associated nephropathy will identify biomarkers predicting nephropathy in individuals at high genetic risk and lead to novel therapies to prevent or slow native CKD progression and prolong survival of transplanted kidneys. In the interim, the National Institutes of Health-sponsored “APOL1 Long-term Kidney Transplantation Outcomes” (APOLLO) Network will determine whether APOL1 genotyping in individuals with recent African ancestry improves outcomes and safety in kidney transplantation.
- Published
- 2019
35. Mechanisms of Stroke in Patients with Chronic Kidney Disease
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Shivani Ghoshal and Barry I. Freedman
- Subjects
medicine.medical_specialty ,medicine.medical_treatment ,030232 urology & nephrology ,Perfusion scanning ,030204 cardiovascular system & hematology ,Kidney ,Brain Ischemia ,Nephropathy ,03 medical and health sciences ,0302 clinical medicine ,Renal Dialysis ,Risk Factors ,Internal medicine ,medicine ,Humans ,Myocardial infarction ,Renal Insufficiency, Chronic ,Cerebral perfusion pressure ,Stroke ,Dialysis ,Cerebral Hemorrhage ,business.industry ,Hemodynamics ,Brain ,Ultrasonography, Doppler ,medicine.disease ,Perfusion ,Cerebral blood flow ,Nephrology ,Cardiology ,Kidney Failure, Chronic ,business ,Kidney disease - Abstract
Background: Given the increasing worldwide prevalence of chronic kidney disease (CKD), it is critical to decrease the associated risk of debilitating vascular complications, including stroke, congestive heart failure, myocardial infarction, and peripheral vascular disease. Treatment options for reducing the risk of all subtypes of stroke in patients with CKD remain limited. For patients with end-stage kidney disease (ESKD), novel applications of noninvasive imaging may help personalize the type of dialysis and dialysis prescription for patients at high-risk. Summary: This manuscript reviews the heightened risk of stroke in patients with nephropathy, including ischemic and hemorrhagic subtypes. Mechanisms associated with increased risk include alterations in cardiac output, platelet function, regional cerebral perfusion, accelerated systemic atherosclerosis, altered blood brain barrier, and disordered neurovascular coupling. There is great potential for noninvasive monitoring of the cerebral vasculature using transcranial Doppler (TCD) to reduce stroke risk, particularly in patients with ESKD. Key Messages: Compared to the general population, patients with CKD are at heightened risk for all subtypes of stroke. This is due to a multitude of mechanisms linking nephropathy with altered cerebral perfusion, cerebral neurovascular coupling, and blood vessel integrity. Intracranial imaging is not currently standard of care practice in patients with CKD or ESKD. TCD may provide clinicians real-time and noninvasive measurement of brain perfusion. This could be useful for assessing risk of stroke in patients’ initiating dialysis, individualizing dialysis prescriptions, and potentially reducing rates of cerebrovascular disease and stroke in high-risk patients.
- Published
- 2019
36. Genetic Architecture of Primary Open-Angle Glaucoma in Individuals of African Descent
- Author
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Rajendra Bansal, Swapan K Das, Christopher A. Girkin, Lama A. Al-Aswad, Radha Ayyagari, Felipe A. Medeiros, Xiuqing Guo, Joseph F. Panarelli, Jeffrey M. Liebmann, Harvey Dubiner, Yii-Der Ida Chen, Yang Hai, Jasmin Divers, Kent D. Taylor, Garvin H. Davis, Donald W. Bowden, Barry I. Freedman, Robert N. Weinreb, Celso Tello, Nicholas P. Bell, Jeremy Cotliar, Robert Ritch, Paul A Sidoti, John P Mitchell, Nicholette D. Palmer, George A. Cioffi, Lauren S. Blieden, Sung Chul Park, Maggie C.Y. Ng, Brian C Samuels, Jerome I. Rotter, Linda M. Zangwill, Dana M. Blumberg, Carl D. Langefeld, African Descent, and Robert M. Feldman
- Subjects
medicine.medical_specialty ,genetic structures ,Open angle glaucoma ,business.industry ,Glaucoma ,Single-nucleotide polymorphism ,Genome-wide association study ,medicine.disease ,Population stratification ,eye diseases ,Minor allele frequency ,Ophthalmology ,Internal medicine ,Medicine ,business ,Allele frequency ,Imputation (genetics) - Abstract
Purpose To find genetic contributions to glaucoma in African Americans. Design Cross-sectional, case-control study. Participants One thousand eight hundred seventy-five primary open-angle glaucoma (POAG) patients and 1709 controls, self-identified as being of African descent (AD), from the African Descent and Glaucoma Evaluation Study (ADAGES) III and Wake Forest School of Medicine. Methods MegaChip genotypes were imputed to Thousand Genomes data. Association of single nucleotide polymorphisms (SNPs) with POAG and advanced POAG was tested by linear mixed model correcting for relatedness and population stratification. Genetic risk scores were tested by receiver operator characteristic curves (ROC-AUCs). Main Outcome Measures Primary open-angle glaucoma defined by visual field loss without other nonocular conditions (n = 1875). Advanced POAG was defined by age-based mean deviation of visual field (n = 946). Results Eighteen million two hundred eighty-one thousand nine hundred twenty SNPs met imputation quality of r2 > 0.7 and minor allele frequency > 0.005. Association of a novel locus, EN04, was observed for advanced POAG (rs185815146 β, 0.36; standard error, 0.065; P Conclusions A novel association with advanced POAG in the EN04 locus was identified putatively in persons of AD. In addition to this finding, this genome-wide association study in POAG patients of AD contributes to POAG genetics by identification of novel signals in prior loci (9p21), as well as advancing the fine mapping of regions because of shorter average LD (FNDC3B). Although not useful without confirmation and clinical trials, the use of genetic risk scores demonstrated that considerable AD-specific genetic information remains in these data.
- Published
- 2019
37. Urinary Biomarkers of Tubular Damage Are Associated with Mortality but Not Cardiovascular Risk among Systolic Blood Pressure Intervention Trial Participants with Chronic Kidney Disease
- Author
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Barry I. Freedman, Joachim H. Ix, Walter T. Ambrosius, Michelle M. Estrella, Pranav S. Garimella, Suzanne Oparil, Kalani L. Raphael, Alexandra K. Lee, Ronit Katz, Javier A. Neyra, Vasantha Jotwani, Michael G. Shlipak, Henry Punzi, Rakesh Malhotra, Alfred K. Cheung, Dena E. Rifkin, and Paul E. Drawz
- Subjects
Male ,medicine.medical_specialty ,Urinary system ,030232 urology & nephrology ,Renal function ,Blood Pressure ,030204 cardiovascular system & hematology ,Gastroenterology ,Article ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Internal medicine ,medicine ,Risk of mortality ,Albuminuria ,Humans ,Renal Insufficiency, Chronic ,Antihypertensive Agents ,Aged ,Aged, 80 and over ,Creatinine ,Cardio-Renal Syndrome ,business.industry ,Hazard ratio ,Blood Pressure Determination ,Prognosis ,medicine.disease ,Fibrosis ,Kidney Tubules ,Blood pressure ,chemistry ,Cardiovascular Diseases ,Nephrology ,Hypertension ,Disease Progression ,Female ,medicine.symptom ,business ,Biomarkers ,Glomerular Filtration Rate ,Kidney disease - Abstract
Background: Kidney tubulointerstitial fibrosis on biopsy is a strong predictor of chronic kidney disease (CKD) progression, and CKD is associated with elevated risk of cardiovascular disease (CVD). Tubular health is poorly quantified by traditional kidney function measures, including estimated glomerular filtration rate (eGFR) and albuminuria. We hypothesized that urinary biomarkers of tubular injury, inflammation, and repair would be associated with higher risk of CVD and mortality in persons with CKD. Methods: We measured urinary concentrations of interleukin-18 (IL-18), kidney injury molecule-1, neutrophil gelatinase-associated lipocalin, monocyte chemoattractant protein-1, and chitinase-3-like protein-1 (YKL-40) at baseline among 2,377 participants of the Systolic Blood Pressure Intervention Trial who had an eGFR < 60 mL/min/1.73 m2. We used Cox proportional hazards models to evaluate biomarker associations with CVD events and all-cause mortality. Results: At baseline, the mean age of participants was 72 ± 9 years, and eGFR was 48 ± 11 mL/min/1.73 m2. Over a median follow-up of 3.8 years, 305 CVD events (3.6% per year) and 233 all-cause deaths (2.6% per year) occurred. After multivariable adjustment including eGFR, albuminuria, and urinary creatinine, none of the biomarkers showed statistically significant associations with CVD risk. Urinary IL-18 (hazard ratio [HR] per 2-fold higher value, 1.14; 95% CI 1.01–1.29) and YKL-40 (HR per 2-fold higher value, 1.08; 95% CI 1.02–1.14) concentrations were each incrementally associated with higher mortality risk. Associations were similar when stratified by randomized blood pressure arm. Conclusions: Among hypertensive trial participants with CKD, higher urinary IL-18 and YKL-40 were associated with higher risk of mortality, but not CVD.
- Published
- 2019
38. Apolipoprotein L1 Testing in African Americans: Involving the Community in Policy Discussions
- Author
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Stephanie M. Fullerton, Erika Blacksher, Barry I. Freedman, Apol Stakeholders, Kathleen M. West, Ebele M. Umeukeje, Wylie Burke, James G. Wilson, Bessie A. Young, Jeffrey B. Kopp, and Kerri L. Cavanaugh
- Subjects
Washington ,Community-Based Participatory Research ,medicine.medical_specialty ,Tissue and Organ Procurement ,Apolipoprotein L1 ,030232 urology & nephrology ,Stakeholder engagement ,030204 cardiovascular system & hematology ,Article ,Nephropathy ,Formative assessment ,03 medical and health sciences ,Mississippi ,0302 clinical medicine ,Humans ,Medicine ,Genetic Testing ,Prospective Studies ,Healthcare Disparities ,biology ,business.industry ,Health Policy ,Community Participation ,Health Status Disparities ,Congresses as Topic ,medicine.disease ,Kidney Transplantation ,Tennessee ,Black or African American ,Transplantation ,Treatment Outcome ,Increased risk ,Nephrology ,Family medicine ,Disease Progression ,biology.protein ,Kidney Failure, Chronic ,Interdisciplinary Communication ,Professional association ,business ,Kidney disease - Abstract
Background: Apolipoprotein A1 (APOL1) gene variants occurring in people of West African descent contribute to the greater burden of kidney disease among African Americans. These variants are associated with increased risk of nondiabetic nephropathy, more rapid progression of chronic kidney disease, and shorter survival of donor kidneys after transplantation. However, only a minority of people with APOL1-associated risk develops kidney disease and specific clinical measures to address APOL1-associated risk are lacking. Given these uncertainties, we sought to engage members of the African American public in discussions with other stakeholders about the appropriate use of APOL1 testing. Methods: Formative interviews with community members, researchers, and clinicians in Seattle WA, Nashville TN, and Jackson MS, provided baseline information about views toward APOL1 testing and informed the design of 3 community-based deliberations among African Americans. A national meeting held in March 2018 included 13 community members, 7 scientific advisors and 26 additional researchers, clinicians, bioethicists, patient advocates, and representatives from professional organizations and federal funding agencies. Using small break-out and plenary discussion, the group agreed on recommendations based on current knowledge about APOL1-associated risk. Results: Meeting outcomes included recommendations to develop educational materials about APOL1 for community members and clinicians; to offer APOL1 research results to participants; and on the use of APOL1testing in kidney transplant programs. The group recommended against the routine offer of APOL1 testing in clinical care. Areas of disagreement included whether kidney transplant programs should require APOL1 testing of prospective living donors or bar individuals with APOL1 risk from donating kidneys and whether testing should be available on request in routine clinical care. Conclusion: We recommend continued discussion among stakeholders and concerted efforts to ensure active and informed participation of members of the affected community to guide research on APOL1 and kidney disease.
- Published
- 2019
39. APOL1 and Mortality in Patients on Dialysis
- Author
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Mariana Murea, Barry I. Freedman, and Lijun Ma
- Subjects
medicine.medical_specialty ,biology ,Apolipoprotein L1 ,business.industry ,Extramural ,Urology ,MEDLINE ,Internal medicine ,biology.protein ,medicine ,In patient ,Cardiology and Cardiovascular Medicine ,Dialysis (biochemistry) ,business - Published
- 2019
40. PSOAS AND PARASPINOUS MUSCLE MEASUREMENTS ON COMPUTED TOMOGRAPHY PREDICT MORTALITY IN EUROPEAN AMERICANS WITH TYPE 2 DIABETES MELLITUS
- Author
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Leon Lenchik, Susan Carrie Smith, F. C. Hsu, Barry I. Freedman, Bryan M. Tucker, Thomas C. Register, J. Xu, Donald W. Bowden, and Mariana Murea
- Subjects
Male ,medicine.medical_specialty ,Paraspinal Muscles ,030209 endocrinology & metabolism ,Type 2 diabetes ,030204 cardiovascular system & hematology ,National Death Index ,White People ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Diabetes mellitus ,Humans ,Medicine ,Aged ,Psoas Muscles ,business.industry ,Proportional hazards model ,Hazard ratio ,Type 2 Diabetes Mellitus ,Skeletal muscle ,General Medicine ,Middle Aged ,medicine.disease ,medicine.anatomical_structure ,Diabetes Mellitus, Type 2 ,Cardiology ,Female ,Tomography, X-Ray Computed ,business ,Body mass index - Abstract
Background: Appendicular skeletal muscle mass index and muscle attenuation (density) are negatively associated with mortality in European-derived populations. Objectives: The present analyses assessed association between axial skeletal muscle density and muscle index with mortality in European Americans with type 2 diabetes mellitus (T2D). Design: Single-center observational study. Setting: Diabetes Heart Study. Participants: 839 European Americans with T2D. Methods: Computed tomography-measured psoas and paraspinous muscle mass index (cross sectional area/height2) and radiographic density (Hounsfield Units) were assessed in all participants. A Cox proportional hazards model was computed. The fully-adjusted model included covariates age, sex, body mass index, smoking, alcohol use, diabetes duration, insulin use, hormone replacement therapy (women), prevalent cardiovascular disease (CVD), hypertension, and coronary artery calcified atherosclerotic plaque mass score. Deaths were recorded in the National Death Index data through December 31, 2015. Results: Participants included 428 women and 411 men with median (25th, 75th quartile) age 62.8 (56.1, 69.1) years and diabetes duration 8.0 (5.0, 14.0) years. After 11.9 (9.4, 13.3) years of follow-up, 314 (37.4%) of participants were deceased. In the fully-adjusted model, psoas muscle density (hazard ratio [HR] 0.81, p
- Published
- 2019
41. Protective association between JC polyoma viruria and kidney disease
- Author
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Jasmin Divers, Douglas S. Lyles, Carl D. Langefeld, Barry I. Freedman, and Lijun Ma
- Subjects
Apolipoprotein L1 ,Secondary infection ,Urinary system ,030232 urology & nephrology ,JC virus ,Urine ,030204 cardiovascular system & hematology ,Virus Replication ,medicine.disease_cause ,Article ,Nephropathy ,03 medical and health sciences ,0302 clinical medicine ,Internal Medicine ,medicine ,Humans ,Human virome ,biology ,business.industry ,Glomerulosclerosis ,medicine.disease ,JC Virus ,Nephrology ,Urinary Tract Infections ,Immunology ,biology.protein ,Kidney Diseases ,business ,Kidney disease - Abstract
Purpose of review The presence of viruses in urine (urine virome) typically reflects infection in the kidneys and urinary tract. The urinary virome is associated with HIV-associated nephropathy and chronic glomerulosclerosis. There are many associations of this microbiome with human diseases that remain to be described. This manuscript reviews emerging data on relationships between kidney disease and urinary tract infection/colonization with JC polyomavirus (JCPyV). Recent findings Approximately 30% of the adult population sheds JCPyV in the urine. Further, urinary tract infection with one polyomavirus strain appears to inhibit secondary infections. The presence of urinary JCPyV and BK polyomavirus (BKPyV) replication were measured with polymerase chain reaction in African Americans to assess relationships with apolipoprotein L1 gene (APOL1)-associated nephropathy. Urinary JCPyV was associated with paradoxically lower rates of nephropathy in those with APOL1 high-risk genotypes. Subsequent studies revealed African Americans with JCPyV viruria had lower rates of nondiabetic nephropathy independent from APOL1. Summary Urinary tract JCPyV replication is common and associates with lower rates of nephropathy. This relationship is observed in diverse settings. Results support a host immune system that fails to eradicate nonnephropathic viruses and is also less likely to manifest renal parenchymal inflammation resulting in glomerulosclerosis.
- Published
- 2019
42. The African Descent and Glaucoma Evaluation Study (ADAGES) III
- Author
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Lama A. Al-Aswad, Xiuqing Guo, Yii-Der Ida Chen, Linda M. Zangwill, Swapan K Das, Paul A Sidoti, Sung Chul Park, Mark Christopher, Garvin H. Davis, Barry I. Freedman, Maggie C.Y. Ng, Robert N. Weinreb, Luke J. Saunders, Eunice Williams-Steppe, Nicholas P. Bell, Jeffrey M. Liebmann, Harvey Dubiner, Keri Dirkes, Nicholette D. Palmer, Rigby Slight, Daniel A. Auerbach, Kevin Sandow, Robert Ritch, Jasmin Divers, Lauren S. Blieden, Suzanne Vega, Brian C Samuels, Donald W. Bowden, Jeremy Cotliar, Matthew Holmann, Joseph F. Panarelli, Jerome I. Rotter, Kathryn Roll, Radha Ayyagari, African Descent, Robert M. Feldman, John P Mitchell, George A. Cioffi, Christopher A. Girkin, Dana M. Blumberg, Carl D. Langefeld, Naama Hammel, Celso Tello, Felipe A. Medeiros, Kent D. Taylor, and Rajendra Bansal
- Subjects
0301 basic medicine ,medicine.medical_specialty ,Intraocular pressure ,genetic structures ,Cross-sectional study ,medicine.medical_treatment ,Population ,Glaucoma ,03 medical and health sciences ,0302 clinical medicine ,Ophthalmology ,medicine ,Glaucoma surgery ,education ,education.field_of_study ,Glaucoma medication ,business.industry ,Diabetic retinopathy ,medicine.disease ,eye diseases ,030104 developmental biology ,Specimen collection ,030221 ophthalmology & optometry ,sense organs ,business - Abstract
PURPOSE:To describe the study protocol and baseline characteristics of the African Descent and Glaucoma Evaluation Study (ADAGES) III. DESIGN:Cross-sectional, case-control study. PARTICIPANTS:Three thousand two hundred sixty-six glaucoma patients and control participants without glaucoma of African or European descent were recruited from 5 study centers in different regions of the United States. METHODS:Individuals of African descent (AD) and European descent (ED) with primary open-angle glaucoma (POAG) and control participants completed a detailed demographic and medical history interview. Standardized height, weight, and blood pressure measurements were obtained. Saliva and blood samples to provide serum, plasma, DNA, and RNA were collected for standardized processing. Visual fields, stereoscopic disc photographs, and details of the ophthalmic examination were obtained and transferred to the University of California, San Diego, Data Coordinating Center for standardized processing and quality review. MAIN OUTCOME MEASURES:Participant gender, age, race, body mass index, blood pressure, history of smoking and alcohol use in POAG patients and control participants were described. Ophthalmic measures included intraocular pressure, visual field mean deviation, central corneal thickness, glaucoma medication use, or past glaucoma surgery. Ocular conditions, including diabetic retinopathy, age-related macular degeneration, and past cataract surgery, were recorded. RESULTS:The 3266 ADAGES III study participants in this report include 2146 AD POAG patients, 695 ED POAG patients, 198 AD control participants, and 227 ED control participants. The AD POAG patients and control participants were significantly younger (both, 67.4 years) than ED POAG patients and control participants (73.4 and 70.2 years, respectively). After adjusting for age, AD POAG patients had different phenotypic characteristics compared with ED POAG patients, including higher intraocular pressure, worse visual acuity and visual field mean deviation, and thinner corneas (all P < 0.001). Family history of glaucoma did not differ between AD and ED POAG patients. CONCLUSIONS:With its large sample size, extensive specimen collection, and deep phenotyping of AD and ED glaucoma patients and control participants from different regions in the United States, the ADAGES III genomics study will address gaps in our knowledge of the genetics of POAG in this high-risk population.
- Published
- 2019
43. Erratum to Gene Set Enrichment Analyses Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy. Am J Ophthalmol 2022;233:111-123
- Author
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Lucia Sobrin, Gayatri Susarla, Lynn Stanwyck, John M. Rouhana, Ashley Li, Samuela Pollack, Robert P. Igo, Richard A. Jensen, Xiaohui Li, Maggie C.Y. Ng, Albert V. Smith, Jane Z. Kuo, Kent D. Taylor, Barry I. Freedman, Donald W. Bowden, Alan Penman, Ching J. Chen, Jamie E. Craig, Sharon G. Adler, Emily Y. Chew, Mary Frances Cotch, Brian Yaspan, Paul Mitchell, Jie Jin Wang, Barbara E.K. Klein, Tien Y. Wong, Jerome I. Rotter, Kathyrn P. Burdon, Sudha K. Iyengar, and Ayellet V. Segrè
- Subjects
Ophthalmology - Published
- 2022
44. Bidirectional Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of intermediate potential
- Author
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Dan M. Roden, John Blangero, Myriam Fornage, Kerri L. Wiggins, Benjamin L. Ebert, Gina M. Peloso, Tetsushi Nakao, John Lane, Russell P. Tracy, Lisa de las Fuentes, Ryan L. Minster, Donna K. Arnett, Seyedeh M. Zekavat, Laura M. Raffield, Akhil Pampana, Stephen S. Rich, Kathleen C. Barnes, R. Mathias, Alyna T. Khan, Lewis C. Becker, James E. Hixson, Gabriel K. Griffin, Nicholas L. Smith, JoAnn E. Manson, Robert C. Kaplan, Gonçalo R. Abecasis, Nathan Pankratz, Alexander P. Reiner, Donald M. Lloyd-Jones, Sharon L.R. Kardia, C. Charles Gu, Wendy Post, Lisa R. Yanek, Tanika N. Kelly, Hemant K. Tiwari, Jennifer A. Smith, Shoa L. Clarke, Ramachandran S. Vasan, Themistocles L. Assimes, Betty S. Pace, Jill M. Johnsen, Cara L. Carty, Pinkal Desai, Barry I. Freedman, Pradeep Natarajan, Margaret A. Taub, S Redline, Adrienne M. Stilp, Ranjan Deka, Alexander G. Bick, Donald W. Bowden, Mariza de Andrade, Abhishek Niroula, Joanne E. Curran, Quenna Wong, Siddhartha Jaiswal, Chii-Min Hwu, Michael Preuss, Christie M. Ballantyne, Shannon Kelly, Patrick T. Ellinor, Sameer Chavan, Dandi Qiao, Nicola L. Hawley, Charles Kooperberg, Juan M. Peralta, Braxton D. Mitchell, Solomon K. Musani, Jerome I. Rotter, Ruth J.F. Loos, Zachary T. Yoneda, Bruce M. Psaty, Christopher J. Gibson, Ron Do, Barbara A. Konkle, Marguerite R. Irvin, Jai G. Broome, Take Naseri, Alanna C. Morrison, L. Adrienne Cupples, Bertha A. Hildalgo, Jiang He, Mesbah Uddin, Dawood Darbar, Cecelia A. Laurie, Eric A. Whitsel, Patricia A. Peyser, Brian Custer, Michael H. Cho, Scott T. Weiss, Peter Libby, Susan R. Heckbert, Albert V. Smith, Joshua S. Weinstock, Meher Preethi Boorgula, M. Benjamin Shoemaker, Muagututi’a S. Reupena, Michael C. Honigberg, Nicholette D. Palmer, Wei Zhao, Paul S. Vries, Edwin K. Silverman, Daniel E. Weeks, Romit Bhattacharya, Joshua C. Bis, Kari E. North, Thomas W. Blackwell, Dawn L. DeMeo, Stephen T. McGarvey, Leslie S. Emery, A. R. Shuldiner, Yii-Der Ida Chen, Eric Boerwinkle, Adolfo Correa, Deborah A. Meyers, and Eimear E. Kenny
- Subjects
Mendelian randomization ,Locus (genetics) ,Telomerase reverse transcriptase ,CAD ,Computational biology ,Biology ,Causality ,Germline ,Telomere ,Genetic association - Abstract
Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in Trans-Omics for Precision Medicine (TOPMed) program (N=63,302) and UK Biobank (N=48,658). Bidirectional Mendelian randomization studies were consistent with LTL lengthening increasing propensity to develop CHIP, but CHIP then in turn hastening LTL shortening. We also demonstrated evidence of modest mediation between CHIP and CAD by LTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD.
- Published
- 2021
45. Renal Replacement Therapy and Dialysis-associated Neurovascular Injury (DANI) in the Neuro ICU: a Review of Pathophysiology and Preventative Options
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Shivani Ghoshal and Barry I. Freedman
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medicine.medical_specialty ,Neurology ,business.industry ,medicine.medical_treatment ,Neurointensive care ,medicine.disease ,Cerebral edema ,03 medical and health sciences ,0302 clinical medicine ,Cerebrospinal fluid ,Cerebral blood flow ,030220 oncology & carcinogenesis ,Diabetes mellitus ,medicine ,Neurology (clinical) ,Renal replacement therapy ,Intensive care medicine ,business ,030217 neurology & neurosurgery ,Dialysis - Abstract
Dialysis-associated neurovascular injury (DANI) is a significant contributor to secondary neurologic injury for patients with acute brain injury undergoing renal replacement therapy (RRT). This manuscript reviews the multi-faceted pathophysiologic aspects of DANI and focuses on options for neuro-monitoring and RRT prescription modification to prevent DANI. We consider DANI a clinical syndrome encompassing cerebral edema, impaired cerebral blood flow, and cerebrospinal fluid metabolic alterations during RRT, all of which may lead to secondary brain injury. Neurological monitoring in dialysis, particularly non-invasive methods such as near-infrared spectroscopy and transcranial Doppler ultrasonography, are emerging tools for dialysis medicine in acute brain injury and DANI prevention. Treatment options such as dialysate sodium modeling, limited solute clearance, weight-based ultrafiltration rates, cooled dialysate, and combination ultrafiltration and dialysis treatments may be helpful in limiting secondary neurologic injury from DANI. This manuscript is intended to inform neurocritical care providers about components of DANI pathophysiology, and potential preventative and treatment strategies for at-risk patients.
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- 2021
46. Rare coding variants in 35 genes associate with circulating lipid levels – a multi-ancestry analysis of 170,000 exomes
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Marju Orho-Melander, Humberto García-Ortiz, Xueling Sim, Amp-T D-Genes, Cheol Joo Park, Gina M. Peloso, Jason Flannick, Brian Tomlinson, Hyun Min Kang, Emilio J. Cordova, Stephen S. Rich, Richard A. Gibbs, Angélica Martínez-Hernández, Lorena Orozco, Harsha Doddapaneni, Lisa R. Yanek, Jiwon Lee, Namrata Gupta, Valeriya Lyssenko, Sohee Han, James B. Meigs, Bong-Jo Kim, Bruce M. Psaty, Leslie S. Emery, Kerrin S. Small, Pradeep Natarajan, May E. Montasser, Christian Gieger, Sharon L.R. Kardia, Sarah C. Nelson, Craig L. Hanis, Heikki A. Koistinen, María Elena González-Villalpando, Edmund Chan, Michael Y. Tsai, Benjamin Glaser, Thomas Meitinger, Matthew J. Bown, Mariaelisa Graff, John Danesh, Sekar Kathiresan, Tiinamaija Tuomi, Ramachandran S. Vasan, Gil Atzmon, Alyna T. Khan, Diego Ardissino, Yii-Der Ida Chen, David Zhang, Rob M. van Dam, Wendy S. Post, Barry I. Freedman, D. C. Rao, Michael Preuss, Donna M. Lehman, L. Adrienne Cupples, Colin N. A. Palmer, Claudia H. T. Tam, Hortensia Moreno-Macías, Markku Laakso, Peter Dornbos, Teresa Tusié-Luna, Stella Aslibekyan, Marguerite R. Irvin, Daniel J. Rader, Jee-Young Moon, Eimear E. Kenny, Lisa W. Martin, Jennifer A. Brody, Amit Khera, Erwin P. Bottinger, Sarah E. Graham, Myriam Fornage, Ruth McPherson, Nancy L. Heard-Costa, Michael Boehnke, Clicerio Gonzalez, Ryan W. Kim, Yi-Cheng Chang, Peter M. Nilsson, Yik Ying Teo, Robert Sladek, Cristen J. Willer, Fei Fei Wang, Donna K. Arnett, Mark Chaffin, Karine A. Viaud Martinez, Alanna C. Morrison, Leslie A. Lange, Ravindranath Duggirala, Donna M. Muzny, Kent D. Taylor, Niels Grarup, Soren Germer, Patricia A. Peyser, Brian E. Cade, Lewis C. Becker, Steven A. Lubitz, Nicholette D. Palmer, Susan K. Dutcher, Ronald C.W. Ma, Xuenan Mi, Xiuqing Guo, Hugh Watkins, Eric Boerwinkle, Qibin Qi, Johanna Kuusisto, Christie M. Ballantyne, Tanika N. Kelly, Rajiv Chowdhury, Elvia Mendoza-Caamal, Wing-Yee So, Tien Yin Wong, Torben Hansen, Cecilia Contreras-Cubas, Jeong-Sun Seo, Mi Yeong Hwang, Daekwan Seo, Dajiang J. Liu, Cristina Revilla-Monsalve, Paul S. de Vries, Daniel R. Witte, Yi-Jen Hung, Olle Melander, Karen L. Mohlke, Lucinda Antonacci-Fulton, Francisco Barajas-Olmos, Soo Heon Kwak, Daniel E. Weeks, Claudia Schurmann, Ginger A. Metcalf, Young-Jin Kim, Adrienne M. Stilp, Lori L. Bonnycastle, John Blangero, Ralph A. DeFronzo, Donald W. Bowden, Rasika A. Mathias, Oluf Pedersen, Rozenn N. Lemaitre, Stephen T. McGarvey, Heribert Schunkert, Jaakko Tuomilehto, Farook Thameem, Valentin Fuster, Joshua C. Bis, George Hindy, Allan Linneberg, James G. Wilson, Kyong Soo Park, Sergio A. Islas-Andrade, Ching-Yu Cheng, Won Jung Choi, Minxian X. Wang, Xuzhi Wang, Adolfo Correa, Jai G. Broome, Gail P. Jarvik, Alexander P. Reiner, E. Shyong Tai, Juyoung Lee, Mark I. McCarthy, Nilesh J. Samani, Susan Redline, Carlos A. Aguilar-Salinas, Jerome I. Rotter, Ma. Eugenia Garay-Sevilla, Jiang He, Patrick T. Ellinor, Joseph Park, Joanne E. Curran, Nir Barzilai, Federico Centeno-Cruz, Seonwook Lee, Lawrence F. Bielak, Jianjun Liu, Charles Kooperberg, Juan M. Peralta, Jose C. Florez, Leif Groop, Noël P. Burtt, Margaret Sunitha Selvaraj, Jeffrey R. O'Connell, and Ruth J. F. Loos
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Genetics ,0303 health sciences ,education.field_of_study ,Population ,Single-nucleotide polymorphism ,Genome-wide association study ,Biology ,DNA sequencing ,Minor allele frequency ,03 medical and health sciences ,0302 clinical medicine ,SNP ,education ,Gene ,030217 neurology & neurosurgery ,Exome sequencing ,030304 developmental biology - Abstract
Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels. Ten of these: ALB, SRSF2, JAK2, CREB3L3, TMEM136, VARS, NR1H3, PLA2G12A, PPARG and STAB1 have not been implicated for lipid levels using rare coding variation in population-based samples. We prioritize 32 genes identified in array-based genome-wide association study (GWAS) loci based on gene-based associations, of which three: EVI5, SH2B3, and PLIN1, had no prior evidence of rare coding variant associations. Most of the associated genes showed evidence of association in multiple ancestries. Also, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes, and for genes closest to GWAS index single nucleotide polymorphisms (SNP). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.
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- 2020
47. Rare Non-coding Variation Identified by Large Scale Whole Genome Sequencing Reveals Unexplained Heritability of Type 2 Diabetes
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Heming Wang, Lu-Chen Weng, Ryan W. Kim, May E. Montasser, Stephen T. McGarvey, Anubha Mahajan, Robert Sladek, Marcio Almeida, Dan M. Roden, Deepti Jain, Barry I. Freedman, Jeffrey R. O'Connell, Donna K. Arnett, Alanna C. Morrison, Susan R. Heckbert, Nicholette D. Palmer, Jie Yao, Jorge Ferrer, Timothy D. Majarian, Wei Zhao, JoAnn E. Manson, Mark I. McCarthy, Sharon L.R. Kardia, James A. Perry, Nicholas L. Smith, Alain G. Bertoni, James G. Wilson, Mark O. Goodarzi, Leslie A. Lange, Donald W. Bowden, L. Adrienne Cupples, Laura J. Rasmussen-Torvik, Yii-Der Ida Chen, Jennifer A. Smith, James S. Floyd, Sílvia Bonàs-Guarch, Zachary T. Yoneda, Rita R. Kalyani, Won Jung Choi, Ramachandran S. Vasan, Eric Boerwinkle, Ching-Ti Liu, Stephen C. J. Parker, Susan Redline, Paul S. de Vries, Huichun Xu, Daniel DiCorpo, Adolfo Correa, James S. Pankow, Stephen S. Rich, Heather M. Highland, Ravindranath Duggirala, Elizabeth Selvin, Kent D. Taylor, Dawood Darbar, Tanika N. Kelly, Bruce M. Psaty, Simin Liu, Xianyong Yin, Michael H. Cho, Abigail S. Baldridge, Alexander P. Reiner, Patricia A. Peyser, Seung Hoan Choi, Brian E. Cade, Chloé Sarnowski, Aladdin H. Shadyab, Gregory L Kinney, Daniel E. Weeks, Braxton D. Mitchell, Alisa K. Manning, Douglas Loesch, Steven A. Lubitz, Josée Dupuis, Ryan Irvin, Samantha Lent, Sridharan Raghavan, Bertha Hidalgo, Arushi Varshney, Ricardo D’Oliveira Albanus, Xiuqing Guo, Jennifer Wessel, Rasika A. Mathias, Jennifer A. Brody, Aaron Leong, John Blangero, James B. Meigs, Chung-Shiuan Chen, Lawrence F. Bielak, Lisa R. Yanek, Stella Aslibekyan, Rami Nassir, Karine A. Viaud-Martinez, Natalie R Hasbani, Irene Miguel-Escalada, Alvaro Alonso, Charles Kooperberg, Juan M. Peralta, Jose C. Florez, M. Benjamin Shoemaker, Seonwook Lee, Peitao Wu, Jerome I. Rotter, Jiang He, Patrick T. Ellinor, Mindy D. Szeto, and Joanne E. Curran
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Whole genome sequencing ,Genetics ,Minor allele frequency ,medicine ,Type 2 diabetes ,Biology ,Heritability ,medicine.disease ,Scale (music) - Abstract
Type 2 diabetes is increasing in all ancestry groups1. Part of its genetic basis may reside among the rare (minor allele frequency 2. We analyzed high-coverage (mean depth 38.2x) whole genome sequencing from 9,639 individuals with T2D and 34,994 controls in the NHLBI’s Trans-Omics for Precision Medicine (TOPMed) program2 to show that rare, non-coding variants that are poorly captured by genotyping arrays or imputation panels contribute h2=53% (P=4.2×10−5) to the genetic component of risk in the largest (European) ancestry subset. We coupled sequence variation with islet epigenomic signatures3 to annotate and group rare variants with respect to gene expression4, chromatin state5 and three-dimensional chromatin architecture6, and show that pancreatic islet regulatory elements contribute to T2D genetic risk (h2=8%, P=2.4×10−3). We used islet annotation to create a non-coding framework for rare variant aggregation testing. This approach identified five loci containing rare alleles in islet regulatory elements that suggest novel biological mechanisms readily linked to hypotheses about variant-to-function. Large scale whole genome sequence analysis reveals the substantial contribution of rare, non-coding variation to the genetic architecture of T2D and highlights the value of tissue-specific regulatory annotation for variant-to-function discovery.
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- 2020
48. Primary care referrals to nephrology in patients with advanced kidney disease
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Ajay Dharod, Barry I. Freedman, Cameron E Golightly, Richa Bundy, William Y Rice, Gregory B. Russell, and Gary E. Rosenthal
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Nephrology ,medicine.medical_specialty ,Referral ,medicine.medical_treatment ,Renal function ,Kidney ,Physicians, Primary Care ,Article ,chemistry.chemical_compound ,Internal medicine ,Health care ,medicine ,Humans ,Renal replacement therapy ,Referral and Consultation ,Creatinine ,Primary Health Care ,business.industry ,Vascular disease ,Health Policy ,medicine.disease ,chemistry ,Kidney Diseases ,business ,Kidney disease - Abstract
OBJECTIVES: Optimizing care for patients with advanced kidney disease requires close collaboration between primary care physicians (PCPs) and nephrologists. Factors associated with PCP referral to nephrology were assessed in patients with estimated glomerular filtration rates (eGFRs) less than 30 mL/min/1.73 m(2). STUDY DESIGN: Electronic health record review at an integrated health care network. METHODS: Factors associated with referral status were identified using Fisher’s exact tests, t tests, and multivariable logistic regression. RESULTS: Of 133,913 patients regularly seeing PCPs between October 2017 and September 2019, 1119 had a final eGFR less than 30 mL/min/1.73 m(2) and were not on renal replacement therapy. Care was provided by 185 PCPs (61 practices). Analyses were restricted to the 97.1% (n = 1087) of patients who were African American or European American. Of these, 54.6% had not been referred to nephrology. Nonreferred patients had higher numbers of PCP visits (P = .004). In contrast, referred patients were younger, were more often African American, and had PCPs at the academic medical center (all P
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- 2020
49. Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
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Anubha Mahajan, Cassandra N Spracklen, Weihua Zhang, Maggie CY Ng, Lauren E Petty, Hidetoshi Kitajima, Grace Z Yu, Sina Rüeger, Leo Speidel, Young Jin Kim, Momoko Horikoshi, Josep M Mercader, Daniel Taliun, Sanghoon Moon, Soo-Heon Kwak, Neil R Robertson, Nigel W Rayner, Marie Loh, Bong-Jo Kim, Joshua Chiou, Irene Miguel-Escalada, Pietro della Briotta Parolo, Kuang Lin, Fiona Bragg, Michael H Preuss, Fumihiko Takeuchi, Jana Nano, Xiuqing Guo, Amel Lamri, Masahiro Nakatochi, Robert A Scott, Jung-Jin Lee, Alicia Huerta-Chagoya, Mariaelisa Graff, Jin-Fang Chai, Esteban J Parra, Jie Yao, Lawrence F Bielak, Yasuharu Tabara, Yang Hai, Valgerdur Steinthorsdottir, James P Cook, Mart Kals, Niels Grarup, Ellen M Schmidt, Ian Pan, Tamar Sofer, Matthias Wuttke, Chloe Sarnowski, Christian Gieger, Darryl Nousome, Stella Trompet, Jirong Long, Meng Sun, Lin Tong, Wei-Min Chen, Meraj Ahmad, Raymond Noordam, Victor JY Lim, Claudia HT Tam, Yoonjung Yoonie Joo, Chien-Hsiun Chen, Laura M Raffield, Cécile Lecoeur, Nisa M Maruthur, Bram Peter Prins, Aude Nicolas, Lisa R Yanek, Guanjie Chen, Richard A Jensen, Salman Tajuddin, Edmond Kabagambe, Ping An, Anny H Xiang, Hyeok Sun Choi, Brian E Cade, Jingyi Tan, Fernando Abaitua, Linda S Adair, Adebowale Adeyemo, Carlos A Aguilar-Salinas, Masato Akiyama, Sonia S Anand, Alain Bertoni, Zheng Bian, Jette Bork-Jensen, Ivan Brandslund, Jennifer A Brody, Chad M Brummett, Thomas A Buchanan, Mickaël Canouil, Juliana CN Chan, Li-Ching Chang, Miao-Li Chee, Ji Chen, Shyh-Huei Chen, Yuan-Tsong Chen, Zhengming Chen, Lee-Ming Chuang, Mary Cushman, Swapan K Das, H. Janaka de Silva, George Dedoussis, Latchezar Dimitrov, Ayo P Doumatey, Shufa Du, Qing Duan, Kai-Uwe Eckardt, Leslie S Emery, Daniel S Evans, Michele K Evans, Krista Fischer, James S Floyd, Ian Ford, Myriam Fornage, Oscar H Franco, Timothy M Frayling, Barry I Freedman, Christian Fuchsberger, Pauline Genter, Hertzel C Gerstein, Vilmantas Giedraitis, Clicerio González-Villalpando, Maria Elena González-Villalpando, Mark O Goodarzi, Penny Gordon-Larsen, David Gorkin, Myron Gross, Yu Guo, Sophie Hackinger, Sohee Han, Andrew T Hattersley, Christian Herder, Annie-Green Howard, Willa Hsueh, Mengna Huang, Wei Huang, Yi-Jen Hung, Mi Yeong Hwang, Chii-Min Hwu, Sahoko Ichihara, Mohammad Arfan Ikram, Martin Ingelsson, Md. Tariqul Islam, Masato Isono, Hye-Mi Jang, Farzana Jasmine, Guozhi Jiang, Jost B Jonas, Marit E Jørgensen, Torben Jørgensen, Yoichiro Kamatani, Fouad R Kandeel, Anuradhani Kasturiratne, Tomohiro Katsuya, Varinderpal Kaur, Takahisa Kawaguchi, Jacob M Keaton, Abel N Kho, Chiea-Chuen Khor, Muhammad G Kibriya, Duk-Hwan Kim, Katsuhiko Kohara, Jennifer Kriebel, Florian Kronenberg, Johanna Kuusisto, Kristi Läll, Leslie A Lange, Myung-Shik Lee, Nanette R Lee, Aaron Leong, Liming Li, Yun Li, Ruifang Li-Gao, Symen Ligthart, Cecilia M Lindgren, Allan Linneberg, Ching-Ti Liu, Jianjun Liu, Adam E Locke, Tin Louie, Jian’an Luan, Andrea O Luk, Xi Luo, Jun Lv, Valeriya Lyssenko, Vasiliki Mamakou, K Radha Mani, Thomas Meitinger, Andres Metspalu, Andrew D Morris, Girish N. Nadkarni, Jerry L Nadler, Michael A Nalls, Uma Nayak, Ioanna Ntalla, Yukinori Okada, Lorena Orozco, Sanjay R Patel, Mark A Pereira, Annette Peters, Fraser J Pirie, Bianca Porneala, Gauri Prasad, Sebastian Preissl, Laura J Rasmussen-Torvik, Alexander P Reiner, Michael Roden, Rebecca Rohde, Katheryn Roll, Charumathi Sabanayagam, Maike Sander, Kevin Sandow, Naveed Sattar, Sebastian Schönherr, Claudia Schurmann, Mohammad Shahriar, Jinxiu Shi, Dong Mun Shin, Daniel Shriner, Jennifer A Smith, Wing Yee So, Alena Stančáková, Adrienne M Stilp, Konstantin Strauch, Ken Suzuki, Atsushi Takahashi, Kent D Taylor, Barbara Thorand, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Brian Tomlinson, Jason M Torres, Fuu-Jen Tsai, Jaakko Tuomilehto, Teresa Tusie-Luna, Miriam S Udler, Adan Valladares-Salgado, Rob M van Dam, Jan B van Klinken, Rohit Varma, Marijana Vujkovic, Niels Wacher-Rodarte, Ellie Wheeler, Eric A Whitsel, Ananda R Wickremasinghe, Konstantin Willems van Dijk, Daniel R Witte, Chittaranjan S Yajnik, Ken Yamamoto, Toshimasa Yamauchi, Loïc Yengo, Kyungheon Yoon, Canqing Yu, Jian-Min Yuan, Salim Yusuf, Liang Zhang, Wei Zheng, null FinnGen, Leslie J Raffel, Michiya Igase, Eli Ipp, Susan Redline, Yoon Shin Cho, Lars Lind, Michael A Province, Craig L Hanis, Patricia A Peyser, Erik Ingelsson, Alan B Zonderman, Bruce M Psaty, Ya-Xing Wang, Charles N Rotimi, Diane M Becker, Fumihiko Matsuda, Yongmei Liu, Eleftheria Zeggini, Mitsuhiro Yokota, Stephen S Rich, Charles Kooperberg, James S Pankow, James C Engert, Yii-Der Ida Chen, Philippe Froguel, James G Wilson, Wayne HH Sheu, Sharon LR Kardia, Jer-Yuarn Wu, M Geoffrey Hayes, Ronald CW Ma, Tien-Yin Wong, Leif Groop, Dennis O Mook-Kanamori, Giriraj R Chandak, Francis S Collins, Dwaipayan Bharadwaj, Guillaume Paré, Michèle M Sale, Habibul Ahsan, Ayesha A Motala, Xiao-Ou Shu, Kyong-Soo Park, J Wouter Jukema, Miguel Cruz, Roberta McKean-Cowdin, Harald Grallert, Ching-Yu Cheng, Erwin P Bottinger, Abbas Dehghan, E-Shyong Tai, Josee Dupuis, Norihiro Kato, Markku Laakso, Anna Köttgen, Woon-Puay Koh, Colin NA Palmer, Simin Liu, Goncalo Abecasis, Jaspal S Kooner, Ruth JF Loos, Kari E North, Christopher A Haiman, Jose C Florez, Danish Saleheen, Torben Hansen, Oluf Pedersen, Reedik Mägi, Claudia Langenberg, Nicholas J Wareham, Shiro Maeda, Takashi Kadowaki, Juyoung Lee, Iona Y Millwood, Robin G Walters, Kari Stefansson, Simon R Myers, Jorge Ferrer, Kyle J Gaulton, James B Meigs, Karen L Mohlke, Anna L Gloyn, Donald W Bowden, Jennifer E Below, John C Chambers, Xueling Sim, Michael Boehnke, Jerome I Rotter, Mark I McCarthy, and Andrew P Morris
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0303 health sciences ,Transferability ,Translation (biology) ,Type 2 diabetes ,Biology ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,Evolutionary biology ,Global health ,medicine ,Genetic risk ,Gene ,030217 neurology & neurosurgery ,030304 developmental biology ,Genetic association - Abstract
We assembled an ancestrally diverse collection of genome-wide association studies of type 2 diabetes (T2D) in 180,834 cases and 1,159,055 controls (48.9% non-European descent). We identified 277 loci at genome-wide significance (p-8), including 237 attaining a more stringent trans-ancestry threshold (p-9), which were delineated to 338 distinct association signals. Trans-ancestry meta-regression offered substantial enhancements to fine-mapping, with 58.6% of associations more precisely localised due to population diversity, and 54.4% of signals resolved to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying foundations for functional investigations. Trans-ancestry genetic risk scores enhanced transferability across diverse populations, providing a step towards more effective clinical translation to improve global health.
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- 2020
50. Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices
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Pradeep Natarajan, Akhil Pampana, Sarah E. Graham, Sanni E. Ruotsalainen, James A. Perry, Paul S. de Vries, Jai G. Broome, James P. Pirruccello, Michael C. Honigberg, Krishna Aragam, Brooke Wolford, Jennifer A. Brody, Lucinda Antonacci-Fulton, Moscati Arden, Stella Aslibekyan, Themistocles L. Assimes, Christie M. Ballantyne, Lawrence F. Bielak, Joshua C. Bis, Brian E. Cade, Ron Do, Harsha Doddapaneni, Leslie S. Emery, Yi-Jen Hung, Marguerite R. Irvin, Alyna T. Khan, Leslie Lange, Jiwon Lee, Rozenn N. Lemaitre, Lisa W. Martin, Ginger Metcalf, May E. Montasser, Jee-Young Moon, Donna Muzny, Jeffrey R. O’Connell, Nicholette D. Palmer, Juan M. Peralta, Patricia A. Peyser, Adrienne M. Stilp, Michael Tsai, Fei Fei Wang, Daniel E. Weeks, Lisa R. Yanek, James G. Wilson, Goncalo Abecasis, Donna K. Arnett, Lewis C. Becker, John Blangero, Eric Boerwinkle, Donald W. Bowden, Yi-Cheng Chang, Yii-Der I. Chen, Won Jung Choi, Adolfo Correa, Joanne E. Curran, Mark J. Daly, Susan K. Dutcher, Patrick T. Ellinor, Myriam Fornage, Barry I. Freedman, Stacey Gabriel, Soren Germer, Richard A. Gibbs, Jiang He, Kristian Hveem, Gail P. Jarvik, Robert C. Kaplan, Sharon L. R. Kardia, Eimear Kenny, Ryan W. Kim, Charles Kooperberg, Cathy C. Laurie, Seonwook Lee, Don M. Lloyd-Jones, Ruth J. F. Loos, Steven A. Lubitz, Rasika A. Mathias, Karine A. Viaud Martinez, Stephen T. McGarvey, Braxton D. Mitchell, Deborah A. Nickerson, Kari E. North, Aarno Palotie, Cheol Joo Park, Bruce M. Psaty, D. C. Rao, Susan Redline, Alexander P. Reiner, Daekwan Seo, Jeong-Sun Seo, Albert V. Smith, Russell P. Tracy, Ramachandran S. Vasan, Sekar Kathiresan, L. Adrienne Cupples, Jerome I. Rotter, Alanna C. Morrison, Stephen S. Rich, Samuli Ripatti, Cristen Willer, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, FinnGen, Gina M. Peloso, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, Centre of Excellence in Complex Disease Genetics, Research Programs Unit, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, Department of Public Health, Biostatistics Helsinki, Department of Clinical Chemistry and Hematology, Doctoral Programme in Social Sciences, HYKS erva, Päijät-Häme Welfare Consortium, Department of Medicine, HUS Inflammation Center, Clinicum, HUS Heart and Lung Center, Marja-Riitta Taskinen Research Group, Tiinamaija Tuomi Research Group, HUS Abdominal Center, Department of Oncology, Heikki Joensuu / Principal Investigator, HUS Comprehensive Cancer Center, Department of Medical and Clinical Genetics, Lauri Antti Aaltonen / Principal Investigator, HUS Head and Neck Center, Silmäklinikka, Department of Dermatology, Allergology and Venereology, Department of Food and Nutrition, Medicum, Data Science Genetic Epidemiology Lab, HUSLAB, Department of Mathematics and Statistics, University Management, Biosciences, Pregnancy and Genes, and HUS Gynecology and Obstetrics
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0301 basic medicine ,Male ,Apolipoprotein B ,General Physics and Astronomy ,Blood lipids ,Adipose tissue ,Genome-wide association study ,030204 cardiovascular system & hematology ,Genome-wide association studies ,PCSK9 ,0302 clinical medicine ,Subcutaneous Tissue ,GENETIC-VARIANTS ,Phenomics ,X chromosome ,RISK ,Multidisciplinary ,biology ,1184 Genetics, developmental biology, physiology ,Middle Aged ,Lipids ,X-CHROMOSOME ,CORONARY-ARTERY-DISEASE ,Female ,medicine.medical_specialty ,CHOLESTEROL/APOLIPOPROTEIN-B RATIO ,APOLIPOPROTEIN-B ,Genotype ,Science ,Nerve Tissue Proteins ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,Diabetes mellitus ,Internal medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,Allele ,Eye Proteins ,Genetic Association Studies ,Chromosomes, Human, X ,DENSITY-LIPOPROTEIN-CHOLESTEROL ,Whole Genome Sequencing ,business.industry ,Cardiometabolic Risk Factors ,FAT DISTRIBUTION ,General Chemistry ,Cardiovascular genetics ,medicine.disease ,030104 developmental biology ,Endocrinology ,Gene Expression Regulation ,Genetic Loci ,biology.protein ,business - Abstract
Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10−72), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 × 10−4), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 × 10−5). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids., The influence of X chromosome genetic variation on blood lipids and coronary heart disease (CHD) is not well understood. Here, the authors analyse X chromosome sequencing data across 65,322 multi-ancestry individuals, identifying associations of the Xq23 locus with lipid changes and reduced risk of CHD and diabetes mellitus.
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- 2020
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