Email Limerick’s National Camogie League double header to be streamed live WATCH: “Everyone is fighting so hard to get on” – Pat Ryan on competitive camogie squads TAGSFine GaellimerickPatrick O’DonovanSenator Maria ByrneSports Capital Grantssports infrastructure Billy Lee names strong Limerick side to take on Wicklow in crucial Division 3 clash NewsCommunityLimerick clubs benefit from capital grant allocationsBy Editor – November 29, 2017 1745 Facebook Previous articleCCTV system expanded to 14 Limerick townsNext articleLimerick TD confirms Kilcornan road safety work Editor WhatsApp Print Predictions on the future of learning discussed at Limerick Lifelong Learning Festival Limerick Ladies National Football League opener to be streamed live Linkedin RELATED ARTICLESMORE FROM AUTHOR Twitter Limerick Artist ‘Willzee’ releases new Music Video – “A Dream of Peace” Advertisement Sports grants89 clubs and organisations in Limerick and Clare are to receive €2,465,629 of the €30 million available in Sports Capital Grants.Confirming the allocations, Limerick City Fine Gael Senator Maria Byrne said they will help to develop sports infrastructure in the city and county.She also paid tribute to former Minister of State with responsibility for Sport Patrick O’Donovan for simplifying the application process for clubs and organisations.Sign up for the weekly Limerick Post newsletter Sign Up “Minister O’Donovan significantly shortened the application form, and published a helpful guide to the application process.There were also a series of regional workshops to assist applicants. I know from speaking to local clubs and organisations these measures really helped with their applications,” she explained.“The Sports Capital Programme was re-instated by the last Fine Gael government in 2012, after it had been cut by Fianna Fáil in the wake of the economic crash. It represents an excellent value for money investment. It is crucial we invest in sport and the health of our population, particularly with obesity is on the rise. Investing in sport is good for the health of the nation, both literally and economically.“Fine Gael is using our economic progress to invest in communities around the country and ensure that everyone can benefit. Sport is just one important element of this. In 2016, more than €22.8 million was paid out to 680 organisations to support the development of sports facilities and the purchase of sports equipment through the excellent Sports Capital Programme,” Senator Byrne concluded.More news here
Genome-wide association studies (GWAS) have typically excluded diverse and minority individuals in the search for gene variants that confer risk of disease. Researchers at Harvard-affiliated Massachusetts General Hospital (MGH), the Broad Institute of MIT and Harvard, and other institutions around the world have now developed a free-access software package called Tractor that increases the discovery power of genomics in understudied populations. A study of Tractor’s performance and accuracy was published in Nature Genetics.Researchers perform GWAS to identify where genetic variants responsible for causing disease are located in the genome. Recently, geneticists have begun creating models from published GWAS data to predict risks of disease in individuals. But the clinical utility of these models is currently limited, since most are based on genomic studies of people with European ancestry. “If you build disease-risk models on available data and attempt to extrapolate them to diverse populations, the accuracy of predicting who will get sick is reduced,” said Elizabeth Atkinson, lead author of the paper and an investigator in the Analytic and Translational Genetics Unit (ATGU) at MGH. “These errors exacerbate existing health disparities, in part because we aren’t finding specific gene variants that may contribute to higher risk of a particular disease in diverse populations.”Another significant shortcoming of current GWAS is that “they leave many opportunities for genetic discovery on the table for all populations,” said Atkinson. People of African descent, for example, have a million more genetic variations on average than someone who doesn’t have African ancestry due to human migration patterns over the ages. Conducting a GWAS with diverse populations allows geneticists to pinpoint genetic associations to disease at many more spots across the genome, said Atkinson. “Within these genomic regions identified in a GWAS, the genetic mutation that actually causes disease is shared across ancestries most of the time,” she added. By studying admixed populations — people with recent ancestry from two or more previously isolated population groups, such as Africa and Europe — “we can get more powerful and precise genetic association signals and do a better job at pinpointing where the causal mutation is, which improves our understanding of disease for everyone.” Until now, there was no fine-scale way to control for ancestry composition in mixed groups being studied in a GWAS. “Different ancestry groups have gene variants that occur at different frequencies due to the populations’ demographic history,” explained Atkinson. “Not taking ancestry into account in a GWAS can lead to false-positive hits or to gene variants cancelling themselves out and dismissed as not important. So, until now, it’s been easier to exclude people with multiple ancestries from GWAS to avoid being confounded by different patterns of gene variants.” Tractor, however, allows researchers to account for ancestry in a precise manner so admixed individuals can be included in large-scale gene discovery efforts. The software colors pieces of each person’s chromosomes according to its ancestry origin, which researchers can infer from reference genome sequences, and uses this information in a new GWAS model. “Tractor takes into account the ancestry backbone of each genetic variant so we can correctly calibrate the GWAS results to find causal variants in specific population groups,” said Atkinson. Tractor also provides estimates of ancestry-specific effect sizes, which isn’t possible in a standard GWAS. “Instead of getting a weighted average of the disease-risk effect size for a particular gene variant, Tractor can determine how large or small the effect of a variant is in various ancestry groups,” said Atkinson. “This will be informative for building genetic risk scores in diverse populations.” Another advantage of Tractor is its ability to improve the power of GWAS by detecting risk gene variants across multiple ancestries. “With Tractor, we can get stronger disease-association signals by leveraging ancestral genomic differences,” added Atkinson.“Tractor advances the existing methodologies for studying the genetics of complex disorders in diverse and minority populations,” she said. “We hope that this method increases the inclusion of admixed participants in large-scale association studies going forward.” Major funding for this study was provided by the National Institute of Mental Health. Co-authors include Mark Daly, founding chief of the ATGU and associate professor of Medicine at Harvard Medical School (HMS); and Benjamin Neale, also of the ATGU, is associate professor of Medicine at HMS and director of Population Genetics, Stanley Center for Psychiatric Research, at the Broad Institute.