Expressive

rs117206136 - C12orf56

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

  • Multi-trait GWAS for diverse ancestries: mapping the knowledge gap - Unknown journal (n.d.) · Unknown authors · PubMed 38627641

    ABSTRACT: Background Approximately 95% of samples analyzed in univariate genome-wide association studies (GWAS) are of European ancestry. This bias toward European ancestry populations in association screening also exists for other analyses and methods that are often developed and tested on European ancestry only. However, existing data in non-European populations, which are often of modest sample size, could benefit from innovative approaches as recently illustrated in the context of polygenic risk scores. Methods Here, we extend and assess the potential limitations and gains of our multi-trait GWAS pipeline, JASS (Joint Analysis of Summary Statistics), for the analysis of non-European ancestries. To this end, we conducted the joint GWAS of 19 hematological traits and glycemic traits acro

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