A fully adjusted two-stage procedure for rank-normalization in genetic association studies.

TL;DR: Evidence is shown supporting more reliable protein target specificity and a higher number of phenotypic associations for the Olink platform, while the Soma platforms benefit from greater measurement precision and analytic breadth across the proteome.

TL;DR: In this paper, the authors cleaned lab traits extracted from the EHR performed lab-wide association scans (LabWAS) of the lipids and CAD polygenic risk scores across 315 heritable lab tests then replicated the pipeline and analyses in the Massachusetts General Brigham Biobank.

TL;DR: The findings document the genetic architecture of circulating metabolites in an underrepresented Hispanic/Latino community, shedding light on disease etiology.

TL;DR: In this article , the authors used an ensemble method of SNP selection followed by gradient boosted trees (XGBoost) to allow for non-linearities and interaction effects between single nucleotide polymorphisms (SNPs).

TL;DR: The performance of the genomic control method is quite good for plausible effects of liability genes, which bodes well for future genetic analyses of complex disorders.

TL;DR: The sequence kernel association test (SKAT) is proposed, a supervised, flexible, computationally efficient regression method to test for association between genetic variants (common and rare) in a region and a continuous or dichotomous trait while easily adjusting for covariates.

TL;DR: A genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.

TL;DR: A meta-analysis of associations between BMI and approximately 2.4 million SNPs in 27,715 east Asians and three additional loci nearly reached the genome-wide significance threshold may shed light on new pathways involved in obesity and demonstrate the value of conducting genetic studies in non-European populations.