Accounting trends & techniques, employee benefit plans : financial statement reporting and disclosure practices, 2007

https://egrove.olemiss.edu/aicpa_att/1081/thumbnail.jp

Accounting trends & techniques: employee benefit plans: financial statement reporting and disclosure practices

https://egrove.olemiss.edu/aicpa_att/1058/thumbnail.jp

Accounting trends & techniques: employee benefit plans: financial statement reporting and disclosure practices

https://egrove.olemiss.edu/aicpa_att/1057/thumbnail.jp

SAS no. 70 reports and employee benefit plans; Statement on auditing standards, 021

https://egrove.olemiss.edu/aicpa_sas/1002/thumbnail.jp

Auditing estimates and other soft accounting information

https://egrove.olemiss.edu/aicpa_guides/1377/thumbnail.jp

Employee benefit plans : best practices in presentation and disclosure; Accounting Trends & Techniques

https://egrove.olemiss.edu/aicpa_att/1097/thumbnail.jp

Credit Union Audit Manual, Volume 2

https://egrove.olemiss.edu/aicpa_guides/2177/thumbnail.jp

Credit Union Audit Manual, Volume 1

https://egrove.olemiss.edu/aicpa_guides/2176/thumbnail.jp

Genetic Predictors of Weight Loss and Weight Regain After Intensive Lifestyle Modification, Metformin Treatment, or Standard Care in the Diabetes Prevention Program

OBJECTIVE: We tested genetic associations with weight loss and weight regain in the Diabetes Prevention Program, a randomized controlled trial of weight loss–inducing interventions (lifestyle and metformin) versus placebo. RESEARCH DESIGN AND METHODS: Sixteen obesity-predisposing single nucleotide polymorphisms (SNPs) were tested for association with short-term (baseline to 6 months) and long-term (baseline to 2 years) weight loss and weight regain (6 months to study end). RESULTS: Irrespective of treatment, the Ala12 allele at PPARG associated with short- and long-term weight loss (−0.63 and −0.93 kg/allele, P ≤ 0.005, respectively). Gene–treatment interactions were observed for short-term (LYPLAL1 rs2605100, P$_{lifestyle*SNP}$ = 0.032; GNPDA2 rs10938397, P$_{lifestyle*SNP}$ = 0.016; MTCH2 rs10838738, P$_{lifestyle*SNP}$ = 0.022) and long-term (NEGR1 rs2815752, P$_{metformin*SNP}$ = 0.028; FTO rs9939609, P$_{lifestyle*SNP}$ = 0.044) weight loss. Three of 16 SNPs were associated with weight regain (NEGR1 rs2815752, BDNF rs6265, PPARG rs1801282), irrespective of treatment. TMEM18 rs6548238 and KTCD15 rs29941 showed treatment-specific effects (P$_{lifestyle*SNP}$ < 0.05). CONCLUSIONS: Genetic information may help identify people who require additional support to maintain reduced weight after clinical intervention