rs1094038 - LINC02851

Magnitude 2.2 · 1 study on file

Reported associations

• A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context - Unknown journal (n.d.) · Unknown authors · PubMed 31636271

  ABSTRACT: Genetic studies of metabolites have identified thousands of variants, many of which are associated with downstream metabolic and obesogenic disorders. However, these studies have relied on univariate analyses, reducing power and limiting context-specific understanding. Here we aim to provide an integrated perspective of the genetic basis of metabolites by leveraging the Finnish Metabolic Syndrome In Men (METSIM) cohort, a unique genetic resource which contains metabolic measurements, mostly lipids, across distinct time points as well as information on statin usage. We increase effective sample size by an average of two-fold by applying the Covariates for Multi-phenotype Studies (CMS) approach, identifying 588 significant SNP-metabolite associations, including 228 new associations

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