👤 Eveliina Jakkula

Fetal akinesia deformation sequence (FADS) and lethal multiple pterygium syndrome (LMPS) are clinically overlapping syndromes manifesting with reduced or absent fetal movement, arthrogryposis, and several anomalies during fetal life. The etiology of these syndromes is heterogeneous, and in many cases it remains unknown. In order to determine the genetic etiology of FADS in two fetuses with fetal akinesia, arthrogryposis, edema, and partial cleft palate, we utilized exome sequencing. Our investigations revealed a homozygous nonsense variant [c.1116C>A, p.(Cys372Ter)] in the SLC18A3 gene, which encodes for the vesicular acetylcholine transporter (VAChT) responsible for active transport of acetylcholine in the neuromuscular junction. This is the first description of a nonsense variant in the SLC18A3 gene, as only missense variants and whole gene deletions have been previously identified in patients. The previously detected SLC18A3 defects have been associated with congenital myasthenic syndromes, and therefore our findings extend the clinical spectrum of SLC18A3 defects to severe prenatal phenotypes. Our findings suggest that nonsense variants in SLC18A3 cause a more severe phenotype than missense variants and are in line with previous studies showing a lethal phenotype in VAChT knockout mice. Our results underline the importance of including SLC18A3 sequencing in the differential diagnostics of fetuses with arthrogryposis, FADS, or LMPS of unknown etiology. Show less

Genome-wide association studies (GWAS) of longitudinal birth cohorts enable joint investigation of environmental and genetic influences on complex traits. We report GWAS results for nine quantitative metabolic traits (triglycerides, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, body mass index, and systolic and diastolic blood pressure) in the Northern Finland Birth Cohort 1966 (NFBC1966), drawn from the most genetically isolated Finnish regions. We replicate most previously reported associations for these traits and identify nine new associations, several of which highlight genes with metabolic functions: high-density lipoprotein with NR1H3 (LXRA), low-density lipoprotein with AR and FADS1-FADS2, glucose with MTNR1B, and insulin with PANK1. Two of these new associations emerged after adjustment of results for body mass index. Gene-environment interaction analyses suggested additional associations, which will require validation in larger samples. The currently identified loci, together with quantified environmental exposures, explain little of the trait variation in NFBC1966. The association observed between low-density lipoprotein and an infrequent variant in AR suggests the potential of such a cohort for identifying associations with both common, low-impact and rarer, high-impact quantitative trait loci. Show less