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1.
Guillaume Butler-Laporte; Gundula Povysil; Jack A Kosmicki; Elizabeth T Cirulli; Theodore Drivas; Simone Furini; Chadi Saad; Axel Schmidt; Pawel Olszewski; Urszula Korotko; Mathieu Quinodoz; Elifnaz Celik; Kousik Kundu; Klaudia Walter; Junghyung Jung; Amy D Stockwell; Laura G Sloofman; Daniel M Jordan; Ryan C Thompson; Diane Del Valle Del Valle; Nicole Simons Simons; Esther Cheng Cheng; Robert Sebra Sebra; Eric E Schadt; Seunghee Schulze-Kim Shulze-Kim; Sacha Gnjatic Gnjatic; Miriam Merad Merad; Joseph D Buxbaum; Noam D Beckmann; Alexander W Charney; Bartlomiej Przychodzen; Timothy Chang; Tess D Pottinger; Ning Shang; Fabian Brand; Francesca Fava; Francesca Mari; Karolina Chwialkowska; Magdalena Niemira; Szymon Pula; J Kenneth Baillie; Alex Stuckey; Antonio Salas; Xabier Bello; Jacobo Pardo-Seco; Alberto Gomez-Carballa; Irene Rivero-Calle; Federico Martinon-Torres; Andrea Ganna; Konrad J Karczewski; Kumar Veerapen; Mathieu Bourgey; Guillaume Bourque; Robert JM Eveleigh; Vincenzo Forgetta; David Morrison; David Langlais; Mark Lathrop; Vincent Mooser; Tomoko Nakanishi; Robert Frithiof; Michael Hultstrom; Miklos Lipcsey; Yanara Marincevic-Zuniga; Jessica Nordlund; Kelly M Schiabor Barrett; William Lee; Alexandre Bolze; Simon White; Stephen Riffle; Francisco Tanudjaja; Efren Sandoval; Iva Neveux; Shaun Dabe; Nicolas Casadei; Susanne Motameny; Manal Alaamery; Salam Massadeh; Nora Aljawini; Mansour S Almutairi; Yaseen M Arab; Saleh A Alqahtan; Fawz S Al Harthi; Amal Almutairi; Fatima Alqubaishi; Sarah Alotaibi; Albandari Binowayn; Ebtehal A Alsolm; Hadeel El Bardisy; Mohammad Fawzy; - COVID-19 Host Genetics Initiative; - DeCOI Host Genetics Group; - GEN-COVID Multicenter Study (Italy); - Mount Sinai Clinical Intelligence Center; - GEN-COVID consortium (Spain); - GenOMICC Consortium; - Japan COVID-19 Task Force; - Regeneron Genetics Center; Daniel H Geschwind; Stephanie Arteaga; Alexis Stephens; Manish J Butte; Paul C Boutros; Takafumi N Yamaguchi; Shu Tao; Stefan Eng; Timothy Sanders; Paul J Tung; Michael E Broudy; Yu Pan; Alfredo Gonzalez; Nikhil Chavan; Ruth Johnson; Bogdan Pasaniuc; Brian Yaspan; Sandra Smieszek; Carlo Rivolta; Stephanie Bibert; Pierre-Yves Bochud; Maciej Dabrowski; Pawel Zawadzki; Mateusz Sypniewski; Elzbieta Kaja; Pajaree Chariyavilaskul; Voraphoj Nilaratanakul; Nattiya Hirankarn; Vorasuk Shotelersuk; Monnat Pongpanich; Chureerat Phokaew; Wanna Chetruengchai; Katsuhi Tokunaga; Masaya Sugiyama; Yosuke Kawai; Takanori Hasegawa; Tatsuhiko Naito; Ho Namkoong; Ryuya Edahiro; Akinori Kimura; Seishi Ogawa; Takanori Kanai; Koichi Fukunaga; Yukinori Okada; Seiya Imoto; Satoru Miyano; Serghei Mangul; Malak S Abedalthagafi; Hugo Zeberg; Joseph J Grzymski; Nicole L Washington; Stephan Ossowski; Kerstin U Ludwig; Eva C Schulte; Olaf Riess; Marcin Moniuszko; Miroslaw Kwasniewski; Hamdi Mbarek; Said I Ismail; Anurag Verma; David B Goldstein; Krzysztof Kiryluk; Alessandra Renieri; Manuel AR Ferreira; J Brent Richards.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22273040

RESUMO

Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75-10.05, p=5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights. Author SummaryCOVID-19 clinical outcomes vary immensely, but a patients genetic make-up is an important determinant of how they will fare against the virus. While many genetic variants commonly found in the populations were previously found to be contributing to more severe disease by the COVID-19 Host Genetics Initiative, it isnt clear if more rare variants found in less individuals could also play a role. This is important because genetic variants with the largest impact on COVID-19 severity are expected to be rarely found in the population, and these rare variants require different technologies to be studies (usually whole-exome or whole-genome sequencing). Here, we combined sequencing results from 21 cohorts across 12 countries to perform a rare variant association study. In an analysis comprising 5,085 participants with severe COVID-19 and 571,737 controls, we found that the gene for toll-like receptor 7 (TLR7) on chromosome X was an important determinant of severe COVID-19. Importantly, despite being found on a sex chromosome, this observation was consistent across both sexes.

2.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21258638

RESUMO

BackgroundKidney injury is common in COVID-19 infection, but serum creatinine (SCr) is not a sensitive or specific marker of kidney injury. We hypothesized that molecular markers of tubular injury could diagnose COVID-19 associated kidney damage and predict its clinical course. MethodsThis is a prospective cohort study of 444 consecutive COVID-19 patients (43.9% females, 20.5% African American, 54.1% Latinx) in Columbia Universitys Emergency Department at the peak of the New York pandemic (March-April 2020). Urine and blood were collected simultaneously at admission (median time of day 0, IQR 0-2 days) and within 1 day of a positive SARS-CoV-2 test in 70% of patients. Biomarker assays were blinded to clinical data. ResultsUrinary NGAL (uNGAL) was strongly associated with AKI diagnosis (267{+/-}301 vs. 96{+/-}139 ng/mL, P=1.6x10-10). uNGAL >150ng/mL had 80% specificity and 75% sensitivity to diagnose AKIN stage 2 or higher. uNGAL quantitatively predicted the duration of AKI and outcomes, including death, dialysis, shock, and longer hospital stay. The risk of death increased 73% per standard deviation of uNGAL [OR (95%CI): 1.73 (1.29-2.33), P=2.8x10-4] and was independent of baseline SCr, co-morbidities, and proteinuria [adjusted OR (95%CI): 1.51 (1.10-2.11), P=1.2x10-2]. Proteinuria and uKIM-1 also indicated tubular injury but were not diagnostic of AKI. Typically, distal nephron segments transcribe NGAL, but in COVID-19 biopsies with widespread acute tubular injury (ATI), NGAL expression overlapped KIM-1 in proximal tubules. ConclusionuNGAL predicted diagnosis, duration, and severity of AKI and ATI, as well as hospital stay, dialysis, shock, and death in patients with acute COVID-19.

3.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21254005

RESUMO

A locus containing OAS1/2/3 has been identified as a risk locus for severe COVID-19 among Europeans ancestry individuals, with a protective haplotype of [~]75 kilobases derived from Neanderthals. Here, we show that among several potentially causal variants at this locus, a splice variant of OAS1 occurs in people of African ancestry independently of the Neanderthal haplotype and confers protection against COVID-19 of a magnitude similar to that seen in individuals without African ancestry.

4.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21252875

RESUMO

BackgroundThere is considerable variability in COVID-19 outcomes amongst younger adults--and some of this variation may be due to genetic predisposition. We characterized the clinical implications of the major genetic risk factor for COVID-19 severity, and its age-dependent effect, using individual-level data in a large international multi-centre consortium. MethodThe major common COVID-19 genetic risk factor is a chromosome 3 locus, tagged by the marker rs10490770. We combined individual level data for 13,424 COVID-19 positive patients (N=6,689 hospitalized) from 17 cohorts in nine countries to assess the association of this genetic marker with mortality, COVID-19-related complications and laboratory values. We next examined if the magnitude of these associations varied by age and were independent from known clinical COVID-19 risk factors. FindingsWe found that rs10490770 risk allele carriers experienced an increased risk of all-cause mortality (hazard ratio [HR] 1{middle dot}4, 95% confidence interval [CI] 1{middle dot}2-1{middle dot}6) and COVID-19 related mortality (HR 1{middle dot}5, 95%CI 1{middle dot}3-1{middle dot}8). Risk allele carriers had increased odds of several COVID-19 complications: severe respiratory failure (odds ratio [OR] 2{middle dot}0, 95%CI 1{middle dot}6-2{middle dot}6), venous thromboembolism (OR 1{middle dot}7, 95%CI 1{middle dot}2-2{middle dot}4), and hepatic injury (OR 1{middle dot}6, 95%CI 1{middle dot}2-2{middle dot}0). Risk allele carriers [≤] 60 years had higher odds of death or severe respiratory failure (OR 2{middle dot}6, 95%CI 1{middle dot}8-3{middle dot}9) compared to those > 60 years OR 1{middle dot}5 (95%CI 1{middle dot}3-1{middle dot}9, interaction p-value=0{middle dot}04). Amongst individuals [≤] 60 years who died or experienced severe respiratory COVID-19 outcome, we found that 31{middle dot}8% (95%CI 27{middle dot}6-36{middle dot}2) were risk variant carriers, compared to 13{middle dot}9% (95%CI 12{middle dot}6-15{middle dot}2%) of those not experiencing these outcomes. Prediction of death or severe respiratory failure among those [≤] 60 years improved when including the risk allele (AUC 0{middle dot}82 vs 0{middle dot}84, p=0{middle dot}016) and the prediction ability of rs10490770 risk allele was similar to, or better than, most established clinical risk factors. InterpretationThe major common COVID-19 risk locus on chromosome 3 is associated with increased risks of morbidity and mortality--and these are more pronounced amongst individuals [≤] 60 years. The effect on COVID-19 severity was similar to, or larger than most established risk factors, suggesting potential implications for clinical risk management. FundingFunding was obtained by each of the participating cohorts individually.

5.
Kidney Int Rep ; 6(1): 91-100, 2021 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-33426388

RESUMO

INTRODUCTION: Familial IgA nephropathy (IgAN) has been widely reported. However, its clinicohistologic characteristics and long-term prognosis are not clear. METHODS: A total of 348 familial IgAN cases from 167 independent families were recruited and their clinicohistologic characteristics as well as lifetime risk of end-stage renal disease (ESRD) were compared to 1116 sporadic IgAN patients from the same geographic region. RESULTS: Of all familial IgAN patients, 60 (17%) came from 32 single-generation (SG; all affected individuals are siblings) families, whereas 286 (82%) came from 134 multiple-generation (MG; affected individuals were present in at least 2 consecutive generations) families. The lifetime ESRD risk was significantly higher in familial patients than sporadic ones after adjusting by gender (hazard ratio [HR]=1.40, 95% confidence interval [CI]: 1.12-1.74, P = 0.004), with 5 years younger in median ESRD age (60 years vs. 65 years in familial and sporadic cases separately). Interestingly, among familial patients, we found cases from SG families (vs. MG families: HR = 2.62, 95% CI: 1.59-4.31, P < 0.001) or with early onset (onset age <30 years) (vs. late onset: HR = 4.79, 95% CI: 3.16-7.26, P < 0.001) had higher lifetime ESRD risk. Furthermore, among sporadic patients, men had lower estimated glomerular filtration rate (eGFR), higher urine protein, higher Oxford T score, and higher risk for life span ESRD compared with women (male vs. female, 25% vs. 17%, P = 0.003) whereas these gender differences were not seen in familial patients. CONCLUSION: Familial IgAN cases had poorer renal outcomes and less gender differences compared with sporadic cases. These findings provide evidence that familial disease represent a distinct subtype of more progressive IgAN. Early diagnosis could improve the prognosis of cases with familial IgAN.

6.
PLoS One ; 15(12): e0244131, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33370368

RESUMO

INTRODUCTION: A large proportion of patients with COVID-19 develop acute kidney injury (AKI). While the most severe of these cases require renal replacement therapy (RRT), little is known about their clinical course. METHODS: We describe the clinical characteristics of COVID-19 patients in the ICU with AKI requiring RRT at an academic medical center in New York City and followed patients for outcomes of death and renal recovery using time-to-event analyses. RESULTS: Our cohort of 115 patients represented 23% of all ICU admissions at our center, with a peak prevalence of 29%. Patients were followed for a median of 29 days (2542 total patient-RRT-days; median 54 days for survivors). Mechanical ventilation and vasopressor use were common (99% and 84%, respectively), and the median Sequential Organ Function Assessment (SOFA) score was 14. By the end of follow-up 51% died, 41% recovered kidney function (84% of survivors), and 8% still needed RRT (survival probability at 60 days: 0.46 [95% CI: 0.36-0.56])). In an adjusted Cox model, coronary artery disease and chronic obstructive pulmonary disease were associated with increased mortality (HRs: 3.99 [95% CI 1.46-10.90] and 3.10 [95% CI 1.25-7.66]) as were angiotensin-converting-enzyme inhibitors (HR 2.33 [95% CI 1.21-4.47]) and a SOFA score >15 (HR 3.46 [95% CI 1.65-7.25). CONCLUSIONS AND RELEVANCE: Our analysis demonstrates the high prevalence of AKI requiring RRT among critically ill patients with COVID-19 and is associated with a high mortality, however, the rate of renal recovery is high among survivors and should inform shared-decision making.


Assuntos
Injúria Renal Aguda/etiologia , Injúria Renal Aguda/patologia , COVID-19/complicações , Rim/patologia , Injúria Renal Aguda/virologia , Idoso , Estado Terminal/mortalidade , Feminino , Humanos , Unidades de Terapia Intensiva , Rim/virologia , Masculino , Pessoa de Meia-Idade , Cidade de Nova Iorque , Modelos de Riscos Proporcionais , Terapia de Substituição Renal/métodos , Estudos Retrospectivos , SARS-CoV-2/patogenicidade , Sobreviventes
7.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20248226

RESUMO

A recent report found that rare predicted loss-of-function (pLOF) variants across 13 candidate genes in TLR3- and IRF7-dependent type I IFN pathways explain up to 3.5% of severe COVID-19 cases. We performed whole-exome or whole-genome sequencing of 1,934 COVID-19 cases (713 with severe and 1,221 with mild disease) and 15,251 ancestry-matched population controls across four independent COVID-19 biobanks. We then tested if rare pLOF variants in these 13 genes were associated with severe COVID-19. We identified only one rare pLOF mutation across these genes amongst 713 cases with severe COVID-19 and observed no enrichment of pLOFs in severe cases compared to population controls or mild COVID-19 cases. We find no evidence of association of rare loss-of-function variants in the proposed 13 candidate genes with severe COVID-19 outcomes.

8.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20221804

RESUMO

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease-19 (COVID-19), a respiratory illness that can result in hospitalization or death. We investigated associations between rare genetic variants and seven COVID-19 outcomes in 543,213 individuals, including 8,248 with COVID-19. After accounting for multiple testing, we did not identify any clear associations with rare variants either exome-wide or when specifically focusing on (i) 14 interferon pathway genes in which rare deleterious variants have been reported in severe COVID-19 patients; (ii) 167 genes located in COVID-19 GWAS risk loci; or (iii) 32 additional genes of immunologic relevance and/or therapeutic potential. Our analyses indicate there are no significant associations with rare protein-coding variants with detectable effect sizes at our current sample sizes. Analyses will be updated as additional data become available, with results publicly browsable at https://rgc-covid19.regeneron.com.

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