The genetic architecture of common traits, including the number,
frequency, and effect sizes of inherited variants that contribute to individual
risk, has been long debated. Genome-wide association studies have identified
scores of common variants associated with type 2 diabetes, but in aggregate,
these explain only a fraction of heritability. To test the hypothesis that
lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES
consortia performed whole genome sequencing in 2,657 Europeans with and without
diabetes, and exome sequencing in a total of 12,940 subjects from five ancestral
groups. To increase statistical power, we expanded sample size via genotyping
and imputation in a further 111,548 subjects. Variants associated with type 2
diabetes after sequencing were overwhelmingly common and most fell within
regions previously identified by genome-wide association studies. Comprehensive
enumeration of sequence variation is necessary to identify functional alleles
that provide important clues to disease pathophysiology, but large-scale
sequencing does not support a major role for lower-frequency variants in
predisposition to type 2 diabetes.
Background-Common polymorphisms of the transcription factor 7-like 2 gene (TCF7L2) have recently been associated with type 2 diabetes. We examined whether the two most strongly associated variants (rs12255372 and rs7903146) predict the progression to diabetes in persons with impaired glucose tolerance who were enrolled in the Diabetes Prevention Program, in which lifestyle intervention or treatment with metformin was compared with placebo.
Rationale: Results from 16S rDNA-encoding gene sequence-based, culture-independent techniques have led to conflicting conclusions about the composition of the lower respiratory tract microbiome. Objectives: To compare the microbiome of the upper and lower respiratory tract in healthy HIV-uninfected nonsmokers and smokers in a multicenter cohort. Methods: Participants were nonsmokers and smokers without significant comorbidities. Oral washes and bronchoscopic alveolar lavages were collected in a standardized manner. Sequence analysis of bacterial 16S rRNA-encoding genes was performed, and the neutral model in community ecology was used to identify bacteria that were the most plausible members of a lung microbiome. Measurements and Main Results: Sixty-four participants were enrolled. Most bacteria identified in the lung were also in the mouth, but specific bacteria such as Enterobacteriaceae, Haemophilus, Methylobacterium, and Ralstonia species were disproportionally represented in the lungs compared with values predicted by the neutral model. Tropheryma was also in the lung, but not the mouth. Mouth communities differed between nonsmokers and smokers in species such as Porphyromonas, Neisseria, and Gemella, but lung bacterial populations did not. Conclusions: This study is the largest to examine composition of the lower respiratory tract microbiome in healthy individuals and the first to use the neutral model to compare the lung to the mouth. Specific bacteria appear in significantly higher abundance in the lungs than would be expected if they originated from the mouth, demonstrating that the lung microbiome does not derive entirely from the mouth. The mouth microbiome differs in nonsmokers and smokers, but lung communities were not significantly altered by smoking.
BACKGROUND-In most patients with stable coronary artery disease, plasma cardiac troponin T levels are below the limit of detection for the conventional assay. The distribution and determinants of very low circulating troponin T levels, as well as their association with cardiovascular events, in such patients are unknown.
Ruth Loos and colleagues report findings from a meta-analysis of multiple studies examining the extent to which physical activity attenuates effects of a specific gene variant, FTO, on obesity in adults and children. They report a fairly substantial attenuation by physical activity on the effects of this genetic variant on the risk of obesity in adults.
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