83 research outputs found
The Multi-Ethnic Investigation of Gene and Gene-Environment Interactions for Biochemical Markers associated with Cardiovascular Disease
Cardiovascular disease (CVD) is the leading cause of illness and death worldwide with an estimated annual one million deaths occurring in the United States alone. Biomarkers of systemic inflammation, such as C-reactive protein (CRP), and metabolism, such as homocysteine, have been shown to be predictive of clinical CVD. CRP, an acute phase inflammatory protein, has been shown to have a moderate degree of heritability with estimates ranging between 25% and 40%. Previous reports have identified approximately twenty genetic loci to be associated with CRP. Homocysteine is a sulfur-containing nonessential amino acid derived from methionine and recently, evidence has elucidated a relationship between this amino acid and inflammation. Similar to CRP, elevated levels of homocysteine have been linked to cardiovascular complications, and heritability estimates are in the range of 47% to 70%. Further, while it has been well-demonstrated that environmental influences such as cigarette smoking significantly contribute to the development of CVD, it is less clear how genetic variants modify the effects of these risk factors on cardiovascular biomarkers. There are only few studies that have assessed gene-environment interaction effects on CVD-related biomarkers. Finally, most genetic studies of CVD-related biomarkers have focused on populations of non-European ancestry. Therefore, we assessed how common and less common gene variants influence CRP and homocysteine levels in a multi-ethnic setting, and investigated whether genetic variants in two glutathione-S-transferase genes, which play a detoxification role, modify the association between cigarette smoking and CRP level. We used African-American (AA), European-American (EA), and European (EU) participants from several cohort studies from the Candidate gene and Association Resource (CARe), the Women's Health Initiative (WHI), and Cooperative Health Research in the Region Augsburg (KORA) studies. We identified novel genetic risk factors for CRP and homocysteine levels as well as evidence for the interplay between genes and environment on CRP. Overall, our results provide important insight regarding the pathophysiology of CVD and atherosclerosis as well as place emphasis on the need to conduct more genome-wide and candidate gene association studies in non-European populations.Doctor of Philosoph
Uncoordinated Transcription and Compromised Muscle Function in the Lmna-Null Mouse Model of Emery-Dreifuss Muscular Dystrophy
LMNA encodes both lamin A and C: major components of the nuclear lamina. Mutations in LMNA underlie a range of tissue-specific degenerative diseases, including those that affect skeletal muscle, such as autosomal-Emery-Dreifuss muscular dystrophy (A-EDMD) and limb girdle muscular dystrophy 1B. Here, we examine the morphology and transcriptional activity of myonuclei, the structure of the myotendinous junction and the muscle contraction dynamics in the lmna-null mouse model of A-EDMD. We found that there were fewer myonuclei in lmna-null mice, of which âŒ50% had morphological abnormalities. Assaying transcriptional activity by examining acetylated histone H3 and PABPN1 levels indicated that there was a lack of coordinated transcription between myonuclei lacking lamin A/C. Myonuclei with abnormal morphology and transcriptional activity were distributed along the length of the myofibre, but accumulated at the myotendinous junction. Indeed, in addition to the presence of abnormal myonuclei, the structure of the myotendinous junction was perturbed, with disorganised sarcomeres and reduced interdigitation with the tendon, together with lipid and collagen deposition. Functionally, muscle contraction became severely affected within weeks of birth, with specific force generation dropping as low as âŒ65% and âŒ27% of control values in the extensor digitorum longus and soleus muscles respectively. These observations illustrate the importance of lamin A/C for correct myonuclear function, which likely acts synergistically with myotendinous junction disorganisation in the development of A-EDMD, and the consequential reduction in force generation and muscle wasting
Validated SNPs for eGFR and their associations with albuminuria
Albuminuria and reduced glomerular filtration rate are manifestations of chronic kidney disease (CKD) that predict end-stage renal disease, acute kidney injury, cardiovascular disease and death. We hypothesized that SNPs identified in association with the estimated glomerular filtration rate (eGFR) would also be associated with albuminuria. Within the CKDGen Consortium cohort (n= 31 580, European ancestry), we tested 16 eGFR-associated SNPs for association with the urinary albumin-to-creatinine ratio (UACR) and albuminuria [UACR >25 mg/g (women); 17 mg/g (men)]. In parallel, within the CARe Renal Consortium (n= 5569, African ancestry), we tested seven eGFR-associated SNPs for association with the UACR. We used a Bonferroni-corrected P-value of 0.003 (0.05/16) in CKDGen and 0.007 (0.05/7) in CARe. We also assessed whether the 16 eGFR SNPs were associated with the UACR in aggregate using a beta-weighted genotype score. In the CKDGen Consortium, the minor A allele of rs17319721 in the SHROOM3 gene, known to be associated with a lower eGFR, was associated with lower ln(UACR) levels (beta = â0.034, P-value = 0.0002). No additional eGFR-associated SNPs met the Bonferroni-corrected P-value threshold of 0.003 for either UACR or albuminuria. In the CARe Renal Consortium, there were no associations between SNPs and UACR with a P< 0.007. Although we found the genotype score to be associated with albuminuria (P= 0.0006), this result was driven almost entirely by the known SHROOM3 variant, rs17319721. Removal of rs17319721 resulted in a P-value 0.03, indicating a weak residual aggregate signal. No alleles, previously demonstrated to be associated with a lower eGFR, were associated with the UACR or albuminuria, suggesting that there may be distinct genetic components for these trait
Rare variant associations with waist-to-hip ratio in European-American and African-American women from the NHLBI-Exome Sequencing Project
Waist-to-hip ratio (WHR), a relative comparison of waist and hip circumferences, is an easily accessible measurement of body fat distribution, in particular central abdominal fat. A high WHR indicates more intra-abdominal fat deposition and is an established risk factor for cardiovascular disease and type 2 diabetes. Recent genome-wide association studies have identified numerous common genetic loci influencing WHR, but the contributions of rare variants have not been previously reported. We investigated rare variant associations with WHR in 1510 European-American and 1186 African-American women from the National Heart, Lung, and Blood Institute-Exome Sequencing Project. Association analysis was performed on the gene level using several rare variant association methods. The strongest association was observed for rare variants in IKBKB (P=4.0 Ă 10â8) in European-Americans, where rare variants in this gene are predicted to decrease WHRs. The activation of the IKBKB gene is involved in inflammatory processes and insulin resistance, which may affect normal food intake and body weight and shape. Meanwhile, aggregation of rare variants in COBLL1, previously found to harbor common variants associated with WHR and fasting insulin, were nominally associated (P=2.23 Ă 10â4) with higher WHR in European-Americans. However, these significant results are not shared between African-Americans and European-Americans that may be due to differences in the allelic architecture of the two populations and the small sample sizes. Our study indicates that the combined effect of rare variants contribute to the inter-individual variation in fat distribution through the regulation of insulin response
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CDK4/6 inhibition triggers anti-tumor immunity
Cyclin-dependent kinases 4 and 6 (CDK4/6) are fundamental drivers of the cell cycle and are required for the initiation and progression of various malignancies1,2. Pharmacologic inhibitors of CDK4/6 have shown significant activity against several solid tumors3,4. Their primary mechanism of action is thought to be the inhibition of phosphorylation of the retinoblastoma (RB) tumor suppressor, inducing G1 cell cycle arrest in tumor cells5. Here, we use murine models of breast carcinoma and other solid tumors to show that selective CDK4/6 inhibitors not only induce tumor cell cycle arrest, but also promote anti-tumor immunity. We confirm this phenomenon through transcriptomic analysis of serial biopsies from a clinical trial of CDK4/6 inhibitor treatment for breast cancer. The enhanced anti-tumor immune response has two underpinnings. First, CDK4/6 inhibitors activate tumor cell expression of endogenous retroviral elements, thus increasing intracellular levels of double-stranded RNA. This in turn stimulates production of type III interferons and hence enhances tumor antigen presentation. Second, CDK4/6 inhibitors markedly suppress the proliferation of regulatory T cells (Tregs). Mechanistically, the effects of CDK4/6 inhibitors on both tumor cells and Tregs are associated with reduced activity of the E2F target, DNA methyltransferase 1. Ultimately, these events promote cytotoxic T cell-mediated clearance of tumor cells, which is further enhanced by the addition of immune checkpoint blockade. Our findings indicate that CDK4/6 inhibitors increase tumor immunogenicity and provide rationale for new combination regimens comprising CDK4/6 inhibitors and immunotherapies as anti-cancer treatment
Uncoordinated Transcription and Compromised Muscle Function in the Lmna-Null Mouse Model of Emery-Dreifuss Muscular Dystrophy
LMNA encodes both lamin A and C: major components of the nuclear lamina. Mutations in LMNA underlie a range of tissue-specific degenerative diseases, including those that affect skeletal muscle, such as autosomal-Emery-Dreifuss muscular dystrophy (A-EDMD) and limb girdle muscular dystrophy 1B. Here, we examine the morphology and transcriptional activity of myonuclei, the structure of the myotendinous junction and the muscle contraction dynamics in the lmna-null mouse model of A-EDMD. We found that there were fewer myonuclei in lmna-null mice, of which âŒ50% had morphological abnormalities. Assaying transcriptional activity by examining acetylated histone H3 and PABPN1 levels indicated that there was a lack of coordinated transcription between myonuclei lacking lamin A/C. Myonuclei with abnormal morphology and transcriptional activity were distributed along the length of the myofibre, but accumulated at the myotendinous junction. Indeed, in addition to the presence of abnormal myonuclei, the structure of the myotendinous junction was perturbed, with disorganised sarcomeres and reduced interdigitation with the tendon, together with lipid and collagen deposition. Functionally, muscle contraction became severely affected within weeks of birth, with specific force generation dropping as low as âŒ65% and âŒ27% of control values in the extensor digitorum longus and soleus muscles respectively. These observations illustrate the importance of lamin A/C for correct myonuclear function, which likely acts synergistically with myotendinous junction disorganisation in the development of A-EDMD, and the consequential reduction in force generation and muscle wasting
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Genome-Wide Association of Body Fat Distribution in African Ancestry Populations Suggests New Loci
Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly African ancestry (AA). We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1). Overall, 25 SNPs with single genomic control (GC)-corrected p-values<5.0Ă10â6 were followed-up (stage 2) in AA with WC and with WHR. Additionally, we interrogated genomic regions of previously identified European ancestry (EA) WHR loci among AA. In joint analysis of association results including both Stage 1 and 2 cohorts, 2 SNPs demonstrated association, rs2075064 at LHX2, pâ=â2.24Ă10â8 for WC-adjusted-for-BMI, and rs6931262 at RREB1, pâ=â2.48Ă10â8 for WHR-adjusted-for-BMI. However, neither signal was genome-wide significant after double GC-correction (LHX2: pâ=â6.5Ă10â8; RREB1: pâ=â5.7Ă10â8). Six of fourteen previously reported loci for waist in EA populations were significant (p<0.05 divided by the number of independent SNPs within the region) in AA studied here (TBX15-WARS2, GRB14, ADAMTS9, LY86, RSPO3, ITPR2-SSPN). Further, we observed associations with metabolic traits: rs13389219 at GRB14 associated with HDL-cholesterol, triglycerides, and fasting insulin, and rs13060013 at ADAMTS9 with HDL-cholesterol and fasting insulin. Finally, we observed nominal evidence for sexual dimorphism, with stronger results in AA women at the GRB14 locus (p for interactionâ=â0.02). In conclusion, we identified two suggestive loci associated with fat distribution in AA populations in addition to confirming 6 loci previously identified in populations of EA. These findings reinforce the concept that there are fat distribution loci that are independent of generalized adiposity
Development of Risk Prediction Equations for Incident Chronic Kidney Disease
IMPORTANCE â Early identification of individuals at elevated risk of developing chronic kidney diseaseÂ
could improve clinical care through enhanced surveillance and better management of underlying healthÂ
conditions.Â
OBJECTIVE â To develop assessment tools to identify individuals at increased risk of chronic kidneyÂ
disease, defined by reduced estimated glomerular filtration rate (eGFR).Â
DESIGN, SETTING, AND PARTICIPANTS â Individual level data analysis of 34 multinational cohorts fromÂ
the CKD Prognosis Consortium including 5,222,711 individuals from 28 countries. Data were collected from April, 1970 through January, 2017. A twoâstage analysis was performed, with each study firstÂ
analyzed individually and summarized overall using a weighted average. Since clinical variables were often differentially available by diabetes status, models were developed separately within participantsÂ
with diabetes and without diabetes. Discrimination and calibration were also tested in 9 externalÂ
cohorts (N=2,253,540).
EXPOSURE Demographic and clinical factors.Â
MAIN OUTCOMES AND MEASURES â Incident eGFR <60 ml/min/1.73 m2.Â
RESULTS â In 4,441,084 participants without diabetes (mean age, 54 years, 38% female), there wereÂ
660,856 incident cases of reduced eGFR during a mean followâup of 4.2 years. In 781,627 participantsÂ
with diabetes (mean age, 62 years, 13% female), there were 313,646 incident cases during a mean
followâup of 3.9 years. Equations for the 5âyear risk of reduced eGFR included age, sex, ethnicity, eGFR,
history of cardiovascular disease, ever smoker, hypertension, BMI, and albuminuria. For participantsÂ
with diabetes, the models also included diabetes medications, hemoglobin A1c, and the interactionÂ
between the two. The risk equations had a median C statistic for the 5âyear predicted probability ofÂ
0.845 (25th â 75th percentile, 0.789â0.890) in the cohorts without diabetes and 0.801 (25th â 75th
percentile, 0.750â0.819) in the cohorts with diabetes. Calibration analysis showed that 9 out of 13 (69%)
study populations had a slope of observed to predicted risk between 0.80 and 1.25. Discrimination wasÂ
similar in 18 study populations in 9 external validation cohorts; calibration showed that 16 out of 18
(89%) had a slope of observed to predicted risk between 0.80 and 1.25.
CONCLUSIONS AND RELEVANCE â Equations for predicting risk of incident chronic kidney disease
developed in over 5 million people from 34 multinational cohorts demonstrated high discrimination andÂ
variable calibration in diverse populations
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