Aubrey C. Annis

TL;DR: A genome-wide association study meta-analysis of up to 125,584 cases and over 2.5 million control individuals across 60 studies from 25 countries reveals compelling insights regarding disease susceptibility and severity.

TL;DR: The Genes for Good study uses social media to engage a large, diverse participant pool in genetics research and education and has replicated genome-wide association studies (GWASs) for exemplar traits, such as asthma, diabetes, body mass index (BMI), and pigmentation.

TL;DR: It is demonstrated that standard Bonferroni and permutation-based methods for multiple testing correction are inadequate for a holistic analysis of biobank data and a single-iteration permutation method is proposed that is computationally feasible and provides false discovery rate (FDR) estimates tailored to individual datasets and variant frequencies.

TL;DR: The phenotype-genotype reference map (PGRM), a set of 5,879 genetic associations from 523 GWAS publications that can be used for high-throughput replication experiments in biobank data, is introduced and factors associated with reproducibility of GWAS results are determined.