Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality1. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation2,3, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P<5×10−8) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1/WDR25, MKRN3/MAGEL2 and KCNK9) demonstrating parent-of-origin specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and gamma-aminobutyric acid-B2 receptor signaling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.
In a systematic review and meta-analysis, Giovanni Musso and colleagues examine the association between non-alcoholic fatty liver disease and chronic kidney disease.
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To increase our understanding of the genetic basis of adiposity and its links to
cardiometabolic disease risk, we conducted a genome-wide association meta-analysis
of body fat percentage (BF%) in up to 100,716 individuals. Twelve loci
reached genome-wide significance (P<5 ×
10−8), of which eight were previously associated with
increased overall adiposity (BMI, BF%) and four (in or near
COBLL1/GRB14, IGF2BP1, PLA2G6, CRTC1) were novel
associations with BF%. Seven loci showed a larger effect on
BF% than on BMI, suggestive of a primary association with adiposity,
while five loci showed larger effects on BMI than on BF%, suggesting
association with both fat and lean mass. In particular, the loci more strongly
associated with BF% showed distinct cross-phenotype association
signatures with a range of cardiometabolic traits revealing new insights in the link
between adiposity and disease risk.
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