Frequencies of <i>C4B*Q0</i> carriers in healthy German individuals of different age-groups stratified for (a) smokers (current smokers and quitters <3 years) and (b) non-smokers (never smokers and quitters for ≥3 years).

<p>For abbreviations see legend to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086188#pone-0086188-g001" target="_blank">Figure 1</a>. Due to the small number of centenarians in the replication sample we did not subdivide the case sample into a nonagenarian and centenarian subgroup.</p

Replication study in additional German sample: Results of the comparison of Q0 carrier state for the <i>C4L</i> gene (absolute numbers are in parentheses).

<p>For abbreviations see legend to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086188#pone-0086188-t002" target="_blank">Table 2</a>.</p><p>p_trend: p value for trend test of <i>C4B*Q0</i> frequencies in all four age groups (Armitage trend test; secondary endpoint).</p>*<p>Due to the small number of centenarians in the replication sample we did not subdivide the case sample into a nonagenarian and centenarian subgroup.</p

Frequencies of <i>C4B*Q0</i> carriers (with zero or one <i>C4B</i> gene in the diploid genome) in healthy German individuals of different age-groups.

<p>p_case_contr: p value for the comparison of <i>C4B*Q0</i> carrier frequencies between long-lived cases and younger controls (Fisher's exact test; primary endpoint). p_contr_trend: p value for trend test of <i>C4B*Q0</i> carrier frequencies in the three control subgroups (Armitage trend test; secondary endpoint). p_case: p value for the comparison of <i>C4B*Q0</i> frequencies in the two case subgroups (Fisher's exact test; secondary endpoint). p_trend: p value for trend test of <i>C4B*Q0</i> frequencies in all five age groups (Armitage trend test; secondary endpoint).</p

Additional file 2: of Gestational diabetes is associated with change in the gut microbiota composition in third trimester of pregnancy and postpartum

Table S1. Supplementary third trimester characteristics between pregnant women with GDM and normoglycaemic pregnant women. Table S2. Indications for OGTT. Table S3. Supplementary descriptive postpartum. Table S4. Nutrient intake during pregnancy and postpartum. Table S5. Operational taxonomic units differentially abundant in women with and without gestational diabetes during pregnancy and postpartum. Table S6. Operational taxonomic units associated with glycaemic traits in pregnant women independent of GDM status and unadjusted for pre-pregnancy BMI. Table S7. Higher order taxa associated with high sensitivity CRP. Table S8. OTUs associated with high-sensitivity C-reactive protein in laten pregnancy and postpartum. Table S9. Spearman correlations between GDM discriminant taxa and pre-pregnancy BMI. Table S10. Operational taxonomic units differentially abundant in overweigt (n = 67) and obese women (n = 58) compared with lean women (n = 61). Table S11. Operational taxonomic units differentially abundant in women with and without gestational diabetes with available pre-pregnancy BMI. Table S12. Operational taxonomic units associated with weight gain during pregnancy adjusted for pre-pregnancy BMI and gestational age. Table S13. Higher order taxa associated with gestational weight gain. Table S14. OTUs exhibiting differential change from the third trimester to postpartum dependent on GDM status. Table S15. Higher order taxa exhibiting differential change from the third trimester to postpartum dependent on GDM status. (XLSX 152 kb

Additional file 1: of Gestational diabetes is associated with change in the gut microbiota composition in third trimester of pregnancy and postpartum

Figure S1. Flow chart. Figure S2. Bristol stool scale and bowel movement frequency in women with and without GDM during pregnancy. Figure S3. Bristol stool scale and bowel movement frequency postpartum in women with and without previous GDM. Figure S4. Third trimester alpha diversity. Figure S5. Relationship between glycaemic traits and alpha diversity. Figure S6. Phylum level composition in pregnant women with gestational diabetes and with normal glucose regulation. Figure S7. Family-level composition in pregnant women with gestational diabetes and with normal glucose regulation. Figure S8. Genus-level composition in pregnant women with gestational diabetes and with normal glucose regulation. Figure S9. Bacterial operational taxonomic units associated with glycaemic traits during pregnancy. Figure S10. Bacterial operational taxonomic units associated with glycaemic traits during pregnancy adjusted for pre-pregnancy BMI. Figure S11. Frequency of pre-pregnancy overweight and obesity according to GDM status. Figure S12. Taxonomic biomarkers of overweight and obesity. Figure S13. Operational taxonomic units differentially abundant in pregnant women with normal and above normal pre-pregnancy body mass index. Figure S14. Operational taxonomic units differentially abundant in pregnant women with GDM and normal glucose regulation adjusted for pre-pregnancy BMI. Figure S15. Relationship between glycaemic traits and alpha diversity adjusted for pre-pregnancy BMI. (PDF 3075 kb

Additional file 1: of The antibiotic resistome and microbiota landscape of refugees from Syria, Iraq and Afghanistan in Germany

Supplemental Material and Methods. (DOCX 1405 kb