Expressive

rs11063072 - CCND2

Magnitude 2.2 · 2 studies on file

Reported associations

  • Gene-by-environment interactions modulate the infant gut microbiota in asthma and atopy. - The Journal of allergy and clinical immunology (2025) · Stickley SA, Fang ZY, Ambalavanan A, Zhang Y, Zacharias AM, Petersen C, Dai D, Azad MB, Brook JR, Mandhane PJ, Simons E, Moraes TJ, Surette MG, Turvey SE, Subbarao P, Duan Q · PubMed 40187613

    Gut microbiota has been associated with health and susceptibility to childhood diseases, including asthma and allergies. However, the genomic factors contributing to interindividual variations in gut microbiota remain poorly understood. We sought to integrate host genomics with early-life exposures to investigate main and interaction effects on gut microbiota during the first year of life. In addition, we identified gut microbes associated with childhood respiratory (asthma, wheeze) and atopic (atopic dermatitis, food/inhalant sensitization) outcomes. We leveraged microbiome data from infant stool at ages 3 months (N = 779) and 1 year (N = 770) from the CHILD Cohort Study. We identified microbial taxa and co-occurring network clusters associated with asthma and atopy by age 5 years. Genome

  • Novel signals and polygenic score for height are associated with pubertal growth traits in Southwestern American Indians. - Human molecular genetics (2024) · Ramírez-Luzuriaga MJ, Kobes S, Hsueh WC, Baier LJ, Hanson RL · PubMed 38483351

    Most genetic variants associated with adult height have been identified through large genome-wide association studies (GWASs) in European-ancestry cohorts. However, it is unclear how these variants influence linear growth during adolescence. This study uses anthropometric and genotypic data from a longitudinal study conducted in an American Indian community in Arizona between 1965-2007. Growth parameters (i.e. height, velocity, and timing of growth spurt) were derived from the Preece-Baines growth model, a parametric growth curve fitted to longitudinal height data, in 787 participants with height measurements spanning the whole period of growth. Heritability estimates suggested that genetic factors could explain 25% to 71% of the variance of pubertal growth traits. We performed a GWAS of g

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