Association of chromosome 9p21 SNPs with cardiovascular phenotypes in morbid obesity using electronic health record data

Wood, G. Craig; Still, Christopher D.; Chu, Xin; Susek, Meghan; Erdman, Robert; Hartman, Christina; Yeager, Stephanie; Krum, Wanda; Carey, David J.; Skelding, Kimberly A.; Benotti, Peter N.; Stewart, Walter F.; Gerhard, Glenn S.

doi:10.1007/s11568-008-9023-z

Cited by 20 publications

(21 citation statements)

References 24 publications

(24 reference statements)

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“…Patients underwent a preoperative assessment and preparation program of monthly visits during which a comprehensive set of clinical and laboratory measures were obtained along with blood samples for DNA isolation. Extensive clinical and survey data were extracted from the EpicCare EHR (Verona, WI) and read into SAS/STAT software (SAS Institute, Cary, NC) as described elsewhere (13). The preoperative assessment and preparation period included a diet‐induced weight loss target of 10% of body weight.…”

Section: Methods and Proceduresmentioning

confidence: 99%

High Allelic Burden of Four Obesity SNPs Is Associated With Poorer Weight Loss Outcomes Following Gastric Bypass Surgery

Still¹,

Wood²,

Chu

et al. 2011

Obesity

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Genome‐wide association and linkage studies have identified multiple susceptibility loci for obesity. We hypothesized that such loci may affect weight loss outcomes following dietary or surgical weight loss interventions. A total of 1,001 white individuals with extreme obesity (BMI >35 kg/m2) who underwent a preoperative diet/behavioral weight loss intervention and Roux‐en‐Y gastric bypass surgery were genotyped for single‐nucleotide polymorphisms (SNPs) in or near the fat mass and obesity‐associated (FTO), insulin induced gene 2 (INSIG2), melanocortin 4 receptor (MC4R), and proprotein convertase subtilisin/kexin type 1 (PCSK1) obesity genes. Association analysis was performed using recessive and additive models with pre‐ and postoperative weight loss data. An increasing number of obesity SNP alleles or homozygous SNP genotypes was associated with increased BMI (P < 0.0006) and excess body weight (P < 0.0004). No association between the amounts of weight lost from a short‐term dietary intervention and any individual obesity SNP or cumulative number of obesity SNP alleles or homozygous SNP genotypes was observed. Linear mixed regression analysis revealed significant differences in postoperative weight loss trajectories across groups with low, intermediate, and high numbers of obesity SNP alleles or numbers of homozygous SNP genotypes (P < 0.0001). Initial BMI interacted with genotype to influence weight loss with initial BMI <50 kg/m2, with evidence of a dosage effect, which was not present in individuals with initial BMI ≥50 kg/m2. Differences in metabolic rate, binge eating behavior, and other clinical parameters were not associated with genotype. These data suggest that response to a surgical weight loss intervention is influenced by genetic susceptibility and BMI.

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Section: Methods and Proceduresmentioning

confidence: 99%

High Allelic Burden of Four Obesity SNPs Is Associated With Poorer Weight Loss Outcomes Following Gastric Bypass Surgery

Still¹,

Wood²,

Chu

et al. 2011

Obesity

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“…Our group published the fi rst genomics paper based upon a comprehensive database of phenotypic information derived from an electronic medical record (Wood et al, 2008), supporting the feasibility of this approach and providing an initial example of an EMR-based genomic medicine research study. Our group published the fi rst genomics paper based upon a comprehensive database of phenotypic information derived from an electronic medical record (Wood et al, 2008), supporting the feasibility of this approach and providing an initial example of an EMR-based genomic medicine research study.…”

Section: Updatementioning

confidence: 85%

Electronic Medical Records in Genomic Medicine Practice and Research

Gerhard¹,

Langer²,

Carey³

et al. 2010

Essentials of Genomic and Personalized Medicine

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“…For example, EHR-derived data have helped identify single-nucleotide polymorphisms in 9p21 that are noted to be associated with early myocardial infarction and cardiovascular disease. 10 …”

Section: Genetic Findings In Cardiovascular Research: Historical Persmentioning

confidence: 99%

Merging Electronic Health Record Data and Genomics for Cardiovascular Research

Hall¹,

Ryan²,

Bray³

et al. 2016

Circ Cardiovasc Genet

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The process of scientific discovery is rapidly evolving. The funding climate has influenced a favorable shift in scientific discovery toward the use of existing resources such as the electronic health record. The electronic health record enables long-term outlooks on human health and disease, in conjunction with multidimensional phenotypes that include laboratory data, images, vital signs, and other clinical information. Initial work has confirmed the utility of the electronic health record for understanding mechanisms and patterns of variability in disease susceptibility, disease evolution, and drug responses. The addition of biobanks and genomic data to the information contained in the electronic health record has been demonstrated. The purpose of this statement is to discuss the current challenges in and the potential for merging electronic health record data and genomics for cardiovascular research.

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Association of chromosome 9p21 SNPs with cardiovascular phenotypes in morbid obesity using electronic health record data

Cited by 20 publications

References 24 publications

High Allelic Burden of Four Obesity SNPs Is Associated With Poorer Weight Loss Outcomes Following Gastric Bypass Surgery

High Allelic Burden of Four Obesity SNPs Is Associated With Poorer Weight Loss Outcomes Following Gastric Bypass Surgery

Electronic Medical Records in Genomic Medicine Practice and Research

Merging Electronic Health Record Data and Genomics for Cardiovascular Research

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