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UCLA Scientists Develop New Algorithms to Study Genomic Data

UCLA Samueli Newsroom

UCLA computer scientists and genetics specialists in collaboration with their colleagues from several other institutions have developed a new genomic data computational method. Their improved algorithms can analyze genomic data up to 1,800 times faster than previous techniques, making it possible to analyze the genetic information of 1 million individuals in just one day.

UCLA SwabSeq funded by BARDA to develop “agnostic” virus test

Biomedical Advanced Research and Development Authority (BARDA)’s Division of Research, Innovation and Ventures (DRIVe) is collaborating with multiple industries and academic partners, including the University of California, Los Angeles, to advance the ability to quickly respond to public health emergencies with a new diagnostic capability that covers all existing and new respiratory RNA viruses in a single test.

UCLA Health researchers analyze LA’s ‘stunningly diverse’ genetic ancestry to bring ethnic equity to precision medicine

UCLA Health |

Analyzing genetic ancestry data from a large genomic repository – the UCLA ATLAS Precision Health Biobank – researchers have found a highly diverse patient population that’s consistent with the global diversity of Los Angeles – one of the most ethnically diverse cities in the world and an ideal location to pursue personalized, precision medicine for underrepresented populations.

Computational Medicine trainees at ASHG

Computational Medicine faculty and trainees are presenting their research as platform presentations at the American Society of Human Genetics 2022 annual meeting:

Kodi Taraszka et al. A comprehensive analysis of clinical and polygenic germline influences on somatic mutational burden with implications for survival, Wed Oct 26, 2.00 pm.

Yi Ding et al. Polygenic score performance varies across the continuum of genetic ancestry in all human populations, Wed Oct 26, 5.35 pm.

Study: Autism alters brain more broadly than previously thought

Judy Packer-Tursman | UPI

Brain changes in people with autism are more far-reaching than previously thought, occurring throughout the cerebral cortex rather than being confined to certain areas thought to affect social behavior and language.

That's according to a new study -- lasting more than a decade and led by the University of California-Los Angeles -- that explored how autism spectrum disorder affects the brain at the molecular level.

Successful Lange Symposium on Computational Statistics Held in February

Computational Medicine and Human Genetics at UCLA, with support from NIH, held the third Lange Symposium on Feb 3, 2023. The topic for this year’s symposium was Computational Statistics. This annual event celebrates the impact of Dr. Lange’s research, mentorship, and teaching over the course of an illustrious career spanning more than four decades. It features scientific talks by some of Dr. Lange’s esteemed colleagues and former trainees. 

Estimation of cross-ancestry genetic correlations within ancestry tracts of admixed samples

Elizabeth G. Atkinson | Nature Genetics

Quantifying whether different populations share similar effect sizes of common causal variants is vital to understand the genetic basis of disease and build better prediction models. A new study proposes a method leveraging admixture to estimate the correlation of causal genetic variants and finds they are largely similar across ancestry backgrounds.

Nature Genetics

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