scholarly journals Multi-ancestry fine mapping implicates OAS1 splicing in risk of severe COVID-19

2022 ◽  
Author(s):  
Jennifer E. Huffman ◽  
Guillaume Butler-Laporte ◽  
Atlas Khan ◽  
Erola Pairo-Castineira ◽  
Theodore G. Drivas ◽  
...  

AbstractThe OAS1/2/3 cluster has been identified as a risk locus for severe COVID-19 among individuals of European ancestry, with a protective haplotype of approximately 75 kilobases (kb) derived from Neanderthals in the chromosomal region 12q24.13. This haplotype contains a splice variant of OAS1, which occurs in people of African ancestry independently of gene flow from Neanderthals. Using trans-ancestry fine-mapping approaches in 20,779 hospitalized cases, we demonstrate that this splice variant is likely to be the SNP responsible for the association at this locus, thus strongly implicating OAS1 as an effector gene influencing COVID-19 severity.

2021 ◽  
Author(s):  
Jennifer Huffman ◽  
Guillaume Butler-Laporte ◽  
Atlas Khan ◽  
Theodore G. Drivas ◽  
Gina M. Peloso ◽  
...  

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.


2016 ◽  
Vol 41 (2) ◽  
pp. 324-331 ◽  
Author(s):  
S Yoneyama ◽  
◽  
J Yao ◽  
X Guo ◽  
L Fernandez-Rhodes ◽  
...  

Genes ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1047
Author(s):  
Héllen Fonseca ◽  
Thiago M. da Silva ◽  
Mariana Saraiva ◽  
Meddly L. Santolalla ◽  
Hanaisa P. Sant’Anna ◽  
...  

Accumulated evidence supports the contribution of genetic factors in modulating airway function, especially ancestry. We investigated whether genetic polymorphisms can affect lung function in a mixed Brazilian child population using the admixture mapping strategy through RFMix software version 1.5.4 (Stanford University, Stanford, CA, USA), followed by fine mapping, to identify regions whereby local African or European ancestry is associated with lung function measured by the forced expiratory volume in the first second (FEV1)/forced vital capacity (FVC) ratio, an indicator of airway obstruction. The research cohort included 958 individuals aged 4 to 11 years enrolled in the SCAALA (Social Change, Asthma, Allergy in Latin America) Program. We identified that African ancestry at 17q21.31, 10q22.2, and 2p23.1 regions was associated with lower lung function measured by FEV1/FVC p < 1.9 × 10−4. In contrast, European ancestry at 17q21.31 showed an opposite effect. Fine mapping pointed out 5 single nucleotide polymorphisms (SNPs) also associated in our replication cohort (rs10999948, rs373831475, rs8068257, rs6744555, and rs1520322). Our results suggest that genomic regions associated with ancestry may contribute to differences in lung function measurements in African American children in Brazil replicated in a cohort of Brazilian adults. The analysis strategy used in this work is especially important for phenotypes, such as lung function, which has considerable disparities in terms of measurements across different populations.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2030-2030
Author(s):  
Kristin A Rand ◽  
Chi Song ◽  
Amie E. Hwang ◽  
Carol A. Huff ◽  
Leon Bernal-Mizrachi ◽  
...  

Abstract Multiple myeloma (MM) is 2-3 times more common among African-Americans compared to non-Hispanic whites. The 2-3-fold increased risk among family members of cases suggests a genetic contribution to risk. Genome-wide association studies (GWAS) in populations of European ancestry have identified seven novel risk loci at 2p23.3 (rs6746082), 3q26.2 (rs10936599), 3p22.1 (rs1052501), 6p21.32 (rs2285803), 7p15.3 (rs4487645), 17p11.2 (rs4273077) and 22q13.1 (rs877529) (Broderick, et al. Nat Genet, 2011, Chubb, et al. Nat Genet, 2013), three of which were replicated in another European series (Martino et al., Br J Haematol, 2012). Here we examined the index signals and conducted fine-mapping for each locus in a case-control study of 1,049 multiple myeloma cases and 7,084 controls of African ancestry to identify better markers of risk and novel independent loci in seven previously reported regions in this high risk population. Incident cases were recruited from 10 clinical centers and SEER cancer registries from 2011 to 2013 and genotyped using the Illumina HumanCore GWAS array. Control data were obtained from previous genome-wide studies of breast and prostate cancer, genotyped using the Illumina 1M-Duo in 4425 male controls from the African Ancestry Prostate Cancer Consortium (consisting of 14 independent studies) and 2632 female controls from a breast cancer GWAS of African-American women (consisting of 9 independent studies). Imputation to 1000 Genomes (March 2012 release) was conducted for regions around six of the previously identified single nucleotide polymorphisms [SNPs] (the HLA region harboring rs2285803 is still being imputed, results will be presented). A case-control analysis of SNPs/indels >1% frequency within 250 kb of each index variant was conducted using unconditional multivariable logistic regression adjusting for age, sex and five leading principal components. Region-specific alpha levels were determined through permutation tests. The minimum alpha level across the six regions was α=0.002. All previously reported risk variants were common in African-Americans (minor allele frequency [MAF] >0.05). For five of the six SNPs, we had ≥94% power to detect the same effect observed in non-Hispanic whites, and 64% power for the less common variant rs10936599 (MAF=0.07). We observed directionally consistent effects (odds ratio [OR]>1) for the six risk variants tested, with three replicating at p≤0.05 (7p15.3, p=1.4x10-7; 17p11.2, p=0.05; 22q13.1, p=0.02). For three of the six regions, we observed better markers of risk in African-Americans that were correlated with the index SNP in Europeans (7p15.3, rs56333627, p=1.5x10-5, r2=0.89; 17p11.2, rs34562254, p=2.9x10-3, r2=0.90; 22q13.1, rs2092410, p=1.1x10-4 r2=.71). The missense variant identified in the 17p11.2 region (rs34562254, Pro251Leu) is located in TNFRSF13B, which encodes the protein TACI, a B cell surface receptor which plays a role in B cell maturation, apoptosis and antibody production by inducing activation of transcription factors including NFAT and NFκβ. In addition, there is evidence suggesting that TACI is involved in MM pathogenesis. Our results demonstrate that many of the risk loci for MM found in European ancestry populations are also risk loci in men and women of African ancestry and that by fine-mapping, we are able to identify variants that better capture risk in populations of African ancestry. Disclosures Terebelo: Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Lonial:Millennium: The Takeda Oncology Company: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Noura S. Abul-Husn ◽  
Emily R. Soper ◽  
Giovanna T. Braganza ◽  
Jessica E. Rodriguez ◽  
Natasha Zeid ◽  
...  

Abstract Background Population-based genomic screening has the predicted ability to reduce morbidity and mortality associated with medically actionable conditions. However, much research is needed to develop standards for genomic screening and to understand the perspectives of people offered this new testing modality. This is particularly true for non-European ancestry populations who are vastly underrepresented in genomic medicine research. Therefore, we implemented a pilot genomic screening program in the BioMe Biobank in New York City, where the majority of participants are of non-European ancestry. Methods We initiated genomic screening for well-established genes associated with hereditary breast and ovarian cancer syndrome (HBOC), Lynch syndrome (LS), and familial hypercholesterolemia (FH). We evaluated and included an additional gene (TTR) associated with hereditary transthyretin amyloidosis (hATTR), which has a common founder variant in African ancestry populations. We evaluated the characteristics of 74 participants who received results associated with these conditions. We also assessed the preferences of 7461 newly enrolled BioMe participants to receive genomic results. Results In the pilot genomic screening program, 74 consented participants received results related to HBOC (N = 26), LS (N = 6), FH (N = 8), and hATTR (N = 34). Thirty-three of 34 (97.1%) participants who received a result related to hATTR were self-reported African American/African (AA) or Hispanic/Latinx (HL), compared to 14 of 40 (35.0%) participants who received a result related to HBOC, LS, or FH. Among the 7461 participants enrolled after the BioMe protocol modification to allow the return of genomic results, 93.4% indicated that they would want to receive results. Younger participants, women, and HL participants were more likely to opt to receive results. Conclusions The addition of TTR to a pilot genomic screening program meant that we returned results to a higher proportion of AA and HL participants, in comparison with genes traditionally included in genomic screening programs in the USA. We found that the majority of participants in a multi-ethnic biobank are interested in receiving genomic results for medically actionable conditions. These findings increase knowledge about the perspectives of diverse research participants on receiving genomic results and inform the broader implementation of genomic medicine in underrepresented patient populations.


Antioxidants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 622
Author(s):  
Pamela A. Nono Nankam ◽  
Télesphore B. Nguelefack ◽  
Julia H. Goedecke ◽  
Matthias Blüher

Adipose tissue (AT) storage capacity is central in the maintenance of whole-body homeostasis, especially in obesity states. However, sustained nutrients overflow may dysregulate this function resulting in adipocytes hypertrophy, AT hypoxia, inflammation and oxidative stress. Systemic inflammation may also contribute to the disruption of AT redox equilibrium. AT and systemic oxidative stress have been involved in the development of obesity-associated insulin resistance (IR) and type 2 diabetes (T2D) through several mechanisms. Interestingly, fat accumulation, body fat distribution and the degree of how adiposity translates into cardio-metabolic diseases differ between ethnicities. Populations of African ancestry have a higher prevalence of obesity and higher T2D risk than populations of European ancestry, mainly driven by higher rates among African women. Considering the reported ethnic-specific differences in AT distribution and function and higher levels of systemic oxidative stress markers, oxidative stress is a potential contributor to the higher susceptibility for metabolic diseases in African women. This review summarizes existing evidence supporting this hypothesis while acknowledging a lack of data on AT oxidative stress in relation to IR in Africans, and the potential influence of other ethnicity-related modulators (e.g., genetic-environment interplay, socioeconomic factors) for consideration in future studies with different ethnicities.


Author(s):  
Jessica D Faul ◽  
Minjung Kho ◽  
Wei Zhao ◽  
Kalee E Rumfelt ◽  
Miao Yu ◽  
...  

Abstract Background Later-life cognitive function is influenced by genetics as well as early- and later-life socioeconomic context. However, few studies have examined the interaction between genetics and early childhood factors. Methods Using gene-based tests (interaction sequence kernel association test [iSKAT]/iSKAT optimal unified test), we examined whether common and/or rare exonic variants in 39 gene regions previously associated with cognitive performance, dementia, and related traits had an interaction with childhood socioeconomic context (parental education and financial strain) on memory performance or decline in European ancestry (EA, N = 10 468) and African ancestry (AA, N = 2 252) participants from the Health and Retirement Study. Results Of the 39 genes, 22 in EA and 19 in AA had nominally significant interactions with at least one childhood socioeconomic measure on memory performance and/or decline; however, all but one (father’s education by solute carrier family 24 member 4 [SLC24A4] in AA) were not significant after multiple testing correction (false discovery rate [FDR] &lt; .05). In trans-ethnic meta-analysis, 2 genes interacted with childhood socioeconomic context (FDR &lt; .05): mother’s education by membrane-spanning 4-domains A4A (MS4A4A) on memory performance, and father’s education by SLC24A4 on memory decline. Both interactions remained significant (p &lt; .05) after adjusting for respondent’s own educational attainment, apolipoprotein-ε4 allele (APOE ε4) status, lifestyle factors, body mass index, and comorbidities. For both interactions in EA and AA, the genetic effect was stronger in participants with low parental education. Conclusions Examination of common and rare variants in genes discovered through genome-wide association studies shows that childhood context may interact with key gene regions to jointly impact later-life memory function and decline. Genetic effects may be more salient for those with lower childhood socioeconomic status.


2021 ◽  
Author(s):  
Holly Long ◽  
Alexandra Klales

The optimized summed scored attributes (OSSA) method was first developed for cranial ancestry estimation (Hefner & Ousley 2014). Tallman and Go (2018) adapted this method for sex estimation with the five skull traits described by Buikstra and Ubelaker (1994) and Walker (2008). Using an Asian sample, Tallman and Go (2018) achieved moderate accuracy rates (83.7% calibration; 81.9% validation) but also high sex bias (29.1% calibration; 34.5% validation), possibly due to lower levels of sexual dimorphism in Asian populations. To further explore this novel approach to sex estimation, the OSSA method was applied to a U.S. Black/African ancestry and White/European ancestry calibration sample (N = 700). Accuracy rates were 77.4% in Black individuals and 77.2% in White individuals. Despite generally higher levels of sexual dimorphism in these groups, a high sex bias still occurred (15.4% Black individuals; –20.5% White individuals) using OSSA. The method was tested in a separate validation sample (N = 200) with accuracy of 78.0% in Black individuals (8.0% sex bias) and 70.0% in White individuals (–56.0% sex bias). When these same traits were tested with Walker’s (2008) logistic regression and in the MorphoPASSE Program (Klales 2018) using random forest modeling, accuracy rates varied ,with OSSA (77.3% correct), performing slightly better than Walker’s (2008) method (75.6% correct) but worse than MorphoPASSE (85.3% correct). The higher accuracy and lower sex bias in MorphoPASSE suggests that the Walker (2008) traits can be used to accurately estimate sex with statistical approaches more appropriate and robust than OSSA.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Stacy C Brown ◽  
Cameron Both ◽  
Julian N Acosta ◽  
Natalia Szejko ◽  
Victor Torres ◽  
...  

Background: Several genetic susceptibility risk loci for ischemic stroke have been identified. However, the relative dearth of genetic data from populations of non-European ancestry has the potential to create disparities in access to genomics-based precision medicine strategies. Individuals of Native Hawaiian ancestry represent a particularly understudied group in stroke genomics research despite facing high rates of cerebrovascular disease. Hypothesis: Genetic variants associated with stroke differ between Native Hawaiians and previously studied groups of predominantly European ancestry. Methods: We conducted a genome-wide (GW) association study of stroke and myocardial infarction (MI) in an adult population of Native Hawaiian ancestry, using data from the Multiethnic Cohort study (MEC). Genetic information was ascertained via genome-wide array genotyping using the AB OpenArray and TaqMan platforms followed by imputation to 1000 Genomes reference panels. We pursued replication of variants that were GW significant (p<5x10 -8 ) or yielded suggestive associations (p<5x10 -7 ) in the prior stroke GW association study MEGASTROKE. Results: We identified 2,104 individuals (1,089 [51.8%] female) of Native Hawaiian ancestry, including 173 cases and 1,931 controls. We identified one novel susceptibility risk locus at a narrow intronic region located at chromosome q26.2 (top associated SNP 3:169096251, OR 2.48, 95%CI 1.81-3.41; p=1.93x10 -8 ), overlying the MECOM gene. We also identified 9 other suggestive risk loci at p<5x10 -7 . When replicating in MEGASTROKE, q26.2 did not have available counterpart variants to analyze, and 3 out of 9 suggestive signals were associated with ischemic stroke subtypes at p<0.05. Conclusions: We report the first GW association study of ischemic stroke and myocardial infarction in a Native Hawaiian population. We identified one susceptibility risk locus at q26.2, located in a narrow intronic region of MECOM, a gene that codes for a histone-lysine N-methyltransferase that has transcriptional regulation and oncoprotein functions. The lack of available replication data for this locus in the large MEGASTROKE collaboration emphasizes the importance of developing genomic resources across ancestral groups.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Christy L Avery ◽  
Praveen Sethupathy ◽  
Steven Buyske ◽  
Q. C He ◽  
Dan Y Lin ◽  
...  

The QT interval (QT) is a heritable trait and its prolongation is an established risk factor for ventricular tachyarrhythmia and sudden cardiac death. Most genetic studies of QT have examined populations of European ancestry, although the increased genetic diversity in populations of African descent provides opportunity for fine-mapping, which can help narrow association signals and identify candidates for functional characterization. We examined whether eleven previously identified QT loci comprising 6,681 variants on the Illumina Metabochip array were associated with QT in 7,516 African American participants from the Atherosclerosis Risk in Communities study and Women’s Health Initiative clinical trial. Among associated loci, we used conditional analyses and queried bioinformatics databases to identify and functionally categorize signals. We identified nine of the eleven QT loci in African American populations ( P <0.0045 under an additive genetic model adjusting for ancestry and demographic characteristics: NOS1AP, ATP1B1, SCN5A, SLC35F1, KCNH2, KCNQ1, LITAF, NDRG4, and RFFL ). We also identified two independent secondary signals in NOS1AP and ATP1B1 ( P < 7.4x10 −6 ). Conditional analyses adjusting for published loci in European populations demonstrated that eight of these eleven SNPs (nine primary; two secondary) were independent of previously reported SNPs. We then performed the first bioinformatics-based functional characterization of QT loci using the eleven primary and secondary variants and SNPs in strong LD (r 2 > 0.5) among these African American participants. Only the SCN5A locus included a non-synonymous coding variant (rs1805124, H558R, r 2 = 0.7 with primary SNP rs9871385, P = 4.7x10 −4 ). The remaining ten loci harbored variants located exclusively within non-coding regions. Specifically, three contained SNPs within candidate long-range regulatory elements in human cardiomyocytes, five were in or near annotated promoter regions, and the remaining two were in un-annotated, but highly conserved non-coding elements. Several of the QT risk alleles at these SNPs significantly alter the predicted binding affinity for transcription factors, such as TBX5 and AhR, which have been previously implicated in cardiac formation and function. In summary, the findings provide compelling evidence that the same genes influence variation in QT across global populations and that additional, independent signals exist in African Americans. Moreover, of those SNPs identified as strong candidates for functional evaluation, the majority implicate gene regulatory dysfunction in QT prolongation.


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