
Benjamin M. Neale
Articles
-
Oct 3, 2024 |
broadinstitute.org | Ari Navetta |Benjamin M. Neale
The largest and most diverse study to date of epilepsy’s genetic factors has revealed new potential targets for treatment, both shared by and unique to different subtypes of epilepsy. The findings point to factors involved in how neurons communicate and fire, suggesting potential targets for new therapies. In the future, the results could also help doctors tailor treatments to a patient’s genome. Epilepsy is one of the most common neurological disorders.
-
Oct 2, 2024 |
biorxiv.org | Wenhan Lu |Siwei Chen |Danielle Posthuma |Benjamin M. Neale
AbstractGenome-wide association studies (GWAS) and rare-variant association studies (RVAS) have identified thousands of genes and variants that affect multiple phenotypes. Here, using rare variant association results from the UK Biobank (UKB) data, we identify pervasive gene-level pleiotropy across diverse phenotypic domains and highlight genes with apparent allelic series that provide additional association support through disease pathways.
-
Aug 26, 2024 |
nature.com | Kai Yuan |Antonio F Pardiñas |Mingrui Yu |Tzu-Ting Chen |Max Lam |Mark Daly | +5 more
AbstractGenome-wide association studies (GWAS) of human complex traits or diseases often implicate genetic loci that span hundreds or thousands of genetic variants, many of which have similar statistical significance. While statistical fine-mapping in individuals of European ancestry has made important discoveries, cross-population fine-mapping has the potential to improve power and resolution by capitalizing on the genomic diversity across ancestries.
-
Jul 3, 2024 |
nature.com | Caitlin Carey |Robbee Wedow |Duncan Palmer |Masahiro Kanai |Konrad J Karczewski |Samuel Bryant | +6 more
AbstractData within biobanks capture broad yet detailed indices of human variation, but biobank-wide insights can be difficult to extract due to complexity and scale. Here, using large-scale factor analysis, we distill hundreds of variables (diagnoses, assessments and survey items) into 35 latent constructs, using data from unrelated individuals with predominantly estimated European genetic ancestry in UK Biobank.
-
Jun 3, 2024 |
nature.com | Rahul Gupta |Masahiro Kanai |Timothy Durham |Anna V. Kotrys |Wei Zhou |Konrad J Karczewski | +1 more
Correction to: Nature https://doi.org/10.1038/s41586-023-06426-5Published online 16 August 2023When performing a genome-wide association study (GWAS), the choice of which allele (reference vs. alternate) is considered the “effect allele” is arbitrary. In our computations, we chose the reference allele. For a small subset of our results, the effect sizes were erroneously attributed to the alternate allele.
Try JournoFinder For Free
Search and contact over 1M+ journalist profiles, browse 100M+ articles, and unlock powerful PR tools.
Start Your 7-Day Free Trial →