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  • Ovid Technologies (Wolters Kluwer Health)  (10)
  • 1
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 129, No. suppl_1 ( 2014-03-25)
    Abstract: Central adiposity, assessed by waist-to-hip ratio (WHR), has been associated with increased risk for cardiovascular disease. Both genetic and lifestyle factors, including physical inactivity, have been independently associated with WHR adjusted for BMI (WHRadjBMI). Physical activity (PA) is an important component of interventions for reducing or preventing central adiposity and has been shown to attenuate genetic influences on adiposity. However, the influence of PA on loci associated with central fat, independent of total body fat, is unknown. Our objective was to identify genetic variants whose effects on WHRadjBMI are modified by PA. To this end, we performed a meta-analysis of 36 genome-wide association studies, including 94,779 individuals of European ancestry. PA was standardized within each study (physically active and inactive) with the lowest quintile being defined as inactive. WHR was adjusted for BMI, age, and age 2 in men and women separately. Each study tested the SNP x PA interaction alone, and also tested the joint effects of both the interaction and SNP main effect using a two degree of freedom (2df) test. We pooled the results from individual studies using fixed-effects inverse variance weighted meta-analysis in men and women combined and separately. The 2df joint test reached genome-wide significance (p 〈 5e -8 ) for 23 loci, which included 11 novel loci for WHRadjBMI. Of these 11 loci, 7 were identified in women only, and one in men only. For each of the 23 loci, the association of the joint test was primarily driven by the SNP main effect on WHRadjBMI, rather than its interaction with PA. When we examined the interaction effects of the 23 loci, separately from main effect, the interaction reached nominal significance for 11 loci (5 of these were novel): e.g. established loci in/near LYPLAL1 (p=1.0e -7 ), VEGFA (p=3.8e -4 ), TBX15 (p=2.1e -5 in women), and RSPO3 (p=5.5e -3 ), and novel (in women only), in/near TMEM131 (p =3.2e -4 ), FAM186A (p=4.1e -4 ), and FLJ45974 (p=1.9e -3 ). In each case, the effect of the WHRadjBMI-increasing allele was smaller in the active group than in the inactive group; e.g. for the SNP near LYPLAL1 , in the active versus inactive: β[SE] = 0.024(0.036) vs 0.215(0.084), respectively. For the interaction term alone, no loci reached genome-wide significance, but a search at P 〈 1e -6 revealed 3 additional novel loci; 2 in men and women combined (in/near MYO18B and COX11P ) and 1 in men only (in SNW1 ). Our findings suggest that joint tests of main and interaction effects help elucidate the genetic basis of abdominal obesity and that genetic effects are larger in physically inactive compared to active individuals. To follow-up our initial findings, we are currently collecting data from 25 additional studies with genome-wide or Metabochip data.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2014
    detail.hit.zdb_id: 1466401-X
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  • 2
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 53, No. 3 ( 2022-03), p. 875-885
    Abstract: Stroke is the leading cause of death and long-term disability worldwide. Previous genome-wide association studies identified 51 loci associated with stroke (mostly ischemic) and its subtypes among predominantly European populations. Using whole-genome sequencing in ancestrally diverse populations from the Trans-Omics for Precision Medicine (TOPMed) Program, we aimed to identify novel variants, especially low-frequency or ancestry-specific variants, associated with all stroke, ischemic stroke and its subtypes (large artery, cardioembolic, and small vessel), and hemorrhagic stroke and its subtypes (intracerebral and subarachnoid). Methods: Whole-genome sequencing data were available for 6833 stroke cases and 27 116 controls, including 22 315 European, 7877 Black, 2616 Hispanic/Latino, 850 Asian, 54 Native American, and 237 other ancestry participants. In TOPMed, we performed single variant association analysis examining 40 million common variants and aggregated association analysis focusing on rare variants. We also combined TOPMed European populations with over 28 000 additional European participants from the UK BioBank genome-wide array data through meta-analysis. Results: In the single variant association analysis in TOPMed, we identified one novel locus 13q33 for large artery at whole-genome-wide significance ( P 〈 5.00×10 −9 ) and 4 novel loci at genome-wide significance ( P 〈 5.00×10 −8 ), all of which need confirmation in independent studies. Lead variants in all 5 loci are low-frequency but are more common in non-European populations. An aggregation of synonymous rare variants within the gene C6orf26 demonstrated suggestive evidence of association for hemorrhagic stroke ( P 〈 3.11×10 −6 ). By meta-analyzing European ancestry samples in TOPMed and UK BioBank, we replicated several previously reported stroke loci including PITX2 , HDAC9 , ZFHX3 , and LRCH1 . Conclusions: We represent the first association analysis for stroke and its subtypes using whole-genome sequencing data from ancestrally diverse populations. While our findings suggest the potential benefits of combining whole-genome sequencing data with populations of diverse genetic backgrounds to identify possible low-frequency or ancestry-specific variants, they also highlight the need to increase genome coverage and sample sizes.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1467823-8
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  • 3
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 129, No. suppl_1 ( 2014-03-25)
    Abstract: Visceral fat and smoking are important risk factors for CVD and other long-term poor health outcomes. Central adiposity is frequently assessed in population studies using waist-to-hip ratio adjusted for BMI (WHRadjBMI). Genome-wide association studies (GWAS) have discovered loci that influence WHRadjBMI, sometimes with sex-specific effects. However, we do not know whether and how smoking behavior influences the association between genetic variants and WHRadjBMI. Our study investigates the influence of smoking and genetic variants on WHRadjBMI, with particular consideration for differential effects by sex. Forty-one GIANT GWAS (108,397 participants) were used to investigate the influence of smoking on SNP WHRadjBMI associations using sex-stratified models considering SNP main effects adjusted for smoking status, and SNP main effects stratified by smoking status. Results from each study were meta-analyzed using an inverse-variance weighted fixed-effects model for men and women separately as well as combined. A total of 19 SNPs reached genome-wide significance (p 〈 5x10-8) having adjusted the SNP effect for smoking across strata (women, men, and combined), including 11 previously reported WHRadjBMI loci. For known WHRadjBMI loci, the influence of smoking varied by sex. In women, four known WHRadjBMI SNPs (TBX15, DNM3, RSPO3, and ADAMTS9) had a greater effect in smokers vs. nonsmokers (TBX15: β(SE) = 0.0506 (0.014), p = 3.84x10-4) vs. β(SE) = 0.0382 (0.0072), p = 1.14x10-7). Three of these (TBX15, DNM3, RSPO3) have been previously associated with tobacco use disorder (TUD). In men, three known WHRadjBMI loci (ADAMTS9, DNM3, ZNRF3) had a greater effect among smokers vs nonsmokers (ZNRF3: β(SE) = 0.0365 (0.0148), p = 1.37x10-2) vs β(SE) = 0.0192 (0.0088), p = 12.87x10-2). Eight of our 19 top SNPs have not been previously associated with WHRadjBMI (within 500 kb). Of these eight loci, distinct patterns of association by smoking and sex were again noted. In addition, one locus (ABCA1) has been previously associated with TUD. In addition to identifying novel loci associated with body fat distribution, these findings underscore the importance of considering the effect of smoking when investigating the genetics of obesity related phenotypes and emphasize the need to consider sex separately when studying the effects of smoking on body fat distribution.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2014
    detail.hit.zdb_id: 1466401-X
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  • 4
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 115, No. 23 ( 2007-06-12), p. 2917-2924
    Abstract: Background— The blood pressure (BP) and heart rate responses to exercise treadmill testing predict incidence of cardiovascular disease, but the genetic determinants of hemodynamic and chronotropic responses to exercise are largely unknown. Methods and Results— We assessed systolic BP, diastolic BP, and heart rate during the second stage of the Bruce protocol and at the third minute of recovery in 2982 Framingham Offspring participants (mean age 43 years; 53% women). With use of residuals from multivariable models adjusted for clinical correlates of exercise treadmill testing responses, we estimated the heritability (variance-components methods), genetic linkage (multipoint quantitative trait analyses), and association with 235 single-nucleotide polymorphisms in 14 candidate genes selected a priori from neurohormonal pathways for their potential role in exercise treadmill testing responses. Heritability estimates for heart rate during exercise and during recovery were 0.32 and 0.34, respectively. Heritability estimates for BP variables during exercise were 0.25 and 0.26 (systolic and diastolic BP) and during recovery, 0.16 and 0.13 (systolic and diastolic BP), respectively. Suggestive linkage was found for systolic BP during recovery from exercise (locus 1q43−44, log-of-the-odds score 2.59) and diastolic BP during recovery from exercise (locus 4p15.3, log-of-the-odds score 2.37). Among 235 single-nucleotide polymorphisms tested for association with exercise treadmill testing responses, the minimum nominal probability value was 0.003, which was nonsignificant after adjustment for multiple testing. Conclusions— Hemodynamic and chronotropic responses to exercise are heritable and demonstrate suggestive linkage to select loci. Genetic mapping with newer approaches such as genome-wide association may yield novel insights into the physiological responses to exercise.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2007
    detail.hit.zdb_id: 1466401-X
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  • 5
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 147, No. 20 ( 2023-05-16), p. 1556-1559
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 1466401-X
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  • 6
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 129, No. suppl_1 ( 2014-03-25)
    Abstract: Obesity, especially central obesity, and cigarette smoking (SMK) are both important risk factors for cardiovascular disease (CVD). Yet, smokers often exhibit lower body mass index (BMI) and higher waist circumference (WC) compared to non-smokers; also, smoking cessation leads to weight gain. Genome-wide association (GWA) studies have identified genetic loci that are associated with risk of overall and central obesity; yet little is known about whether and how SMK influences the genetic susceptibility to obesity. This study aims to discover genetic loci that are associated with obesity, measured as BMI and WC adjusted for BMI (WC a ), and where the effects are hidden by SMK. We used results from 42 studies including up to 126,767 subjects with GWA data available through the GIANT Consortium. Each study employed three association models while considering smoking status (current vs. not current smokers): 1) SNP effects adjusted for SMK (SNPadjSmk), 2) SNP by SMK interaction effects (SNPxSMK), and 3) joint effect of SNP and the SNP x SMK interaction effect (SNPxSMK J ). Study specific results were combined by inverse-variance weighted fixed-effects meta-analyses of the study specific results in men and women separately and then combined sexes. A total of 53 SNPs for WC a reached genome-wide significance (GWS) (p 〈 1E-8) by adjusting for and allowing for interaction with SMK (SNPadjSMK and SNPxSMK J ), 27 of these loci are novel for WC a . Additionally, SNPadjSMK and SNPxSMK J models identified a total of 49 SNPs associated with BMI that reached GWS, including 15 novel loci. While no loci reached GWS for SNPxSMK on BMI, one novel SNPxSMK association with WC a near PRNP reached GWS in women. PRNP is highly expressed throughout the CNS and especially the hippocampus, as are many obesity-related genes. PRNP also plays a role in the body’s response to oxidative stress, making it a likely candidate gene for interaction with smoking as well. Of the GWS SNPs, 47 WC a and 41 BMI loci are nearby ( 〈 500 kb) previously established loci for traits of interest (e.g. SMK, obesity, CVD, VAT, lipids, T2D, T1D and other anthropometrics). We identify one locus with strong evidence of interaction with SMK on obesity, and notably, we find several new loci associated with obesity by accounting for the influence of SMK. Our results highlight the importance of appropriately modeling genetic associations by considering known biological relationships between phenotypes and the environment.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2014
    detail.hit.zdb_id: 1466401-X
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  • 7
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2004
    In:  Stroke Vol. 35, No. 7 ( 2004-07), p. 1609-1613
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 35, No. 7 ( 2004-07), p. 1609-1613
    Abstract: Background and Purpose— In a previous study of normal elderly male twins, the heritability of quantitative white matter hyperintensity (WMH) volume has been estimated to be high (0.73). We investigated heritability of WMH in a family-based sample of the Framingham Heart Study for sex differences and the impact of age. Methods— Brain magnetic resonance scans were performed on 2012 individuals in the cohort and offspring of the Framingham study. This report was limited to 1330 stroke-free and dementia-free members (mean age 61.0 years) of the Framingham offspring. Individuals with a history of multiple sclerosis, stroke, dementia, or other neurological condition including traumatic brain injury were excluded from this analysis. WMH volume and total cranial volume (TCV) were quantified using a previously published algorithm. Because of extreme skewing, measures of WMH were log-transformed before analysis. Variance components methods were used to estimate heritability of WMH after adjusting for sex, age, age 2 , and TCV. Results— In the full dataset, WMH heritability was 0.55 ( P 〈 0.0001). Heritability among women was 0.78 ( P 〈 0.0001) whereas heritability among men was 0.52 ( P 〈 0.0003). Heritability varied as average age increased, with a peak of 0.68 ( P 〈 0.0001) in individuals aged 55 or older. Conclusion— Using a family-based study design comprising generally healthy individuals, this study found high heritability of WMH overall and similar heritability for both men and women. In addition, the heritability of WMH remained high among individuals in whom the prevalence of cerebrovascular brain injury was generally low, suggesting that WMH is also likely to be an excellent genetic marker of brain aging.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2004
    detail.hit.zdb_id: 1467823-8
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  • 8
    In: Circulation: Cardiovascular Genetics, Ovid Technologies (Wolters Kluwer Health), Vol. 7, No. 3 ( 2014-06), p. 344-349
    Abstract: Genome-wide association studies for body mass index (BMI) previously identified a locus near TMEM18. We conducted targeted sequencing of this region to investigate the role of common, low-frequency, and rare variants influencing BMI. Methods and Results— We sequenced TMEM18 and regions downstream of TMEM18 on chromosome 2 in 3976 individuals of European ancestry from 3 community-based cohorts (Atherosclerosis Risk in Communities, Cardiovascular Health Study, and Framingham Heart Study), including 200 adults selected for high BMI. We examined the association between BMI and variants identified in the region from nucleotide position 586 432 to 677 539 (hg18). Rare variants (minor allele frequency, 〈 1%) were analyzed using a burden test and the sequence kernel association test. Results from the 3 cohort studies were meta-analyzed. We estimate that mean BMI is 0.43 kg/m 2 higher for each copy of the G allele of single-nucleotide polymorphism rs7596758 (minor allele frequency, 29%; P =3.46×10 −4 ) using a Bonferroni threshold of P 〈 4.6×10 −4 . Analyses conditional on previous genome-wide association study single-nucleotide polymorphisms associated with BMI in the region led to attenuation of this signal and uncovered another independent ( r 2 〈 0.2), statistically significant association, rs186019316 ( P =2.11×10 −4 ). Both rs186019316 and rs7596758 or proxies are located in transcription factor binding regions. No significant association with rare variants was found in either the exons of TMEM18 or the 3′ genome-wide association study region. Conclusions— Targeted sequencing around TMEM18 identified 2 novel BMI variants with possible regulatory function.
    Type of Medium: Online Resource
    ISSN: 1942-325X , 1942-3268
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2014
    detail.hit.zdb_id: 2927603-2
    detail.hit.zdb_id: 2457085-0
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  • 9
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 133, No. suppl_1 ( 2016-03)
    Abstract: Central adiposity is a leading risk factor for cardiovascular disease, and genetic factors contribute both to fat distribution, measured as waist-to-hip ratio adjusted for BMI (WHRa), and to differences in central adiposity prevalence. To date, 49 loci have been associated with WHRa, based on studies of common [minor allele frequency (MAF) ≥5%] single nucleotide variants (SNVs), primarily in European descent populations. Our aim was to identify low frequency (LFV: MAF 〈 5%) and rare (RV: MAF 〈 1%) coding variants associated with WHRa using Exome-Chip data from 344,369 individuals of European (84%), South Asian (8%), African (5%), East Asian(2%), and Hispanic/Latino (1%) ancestry. We performed fixed effects meta-analyses of study-specific WHRa associations stratified by sex and ancestry and then combined across strata for both SNV and gene-based results. We used a strict definition of variants annotated as damaging by 5 algorithms to perform gene-based analyses using the sequence kernel association test (SKAT). Analyses included up to 284,499 SNVs (218,195 with MAF 〈 5%), and 15,063 genes with at least one SNV that met our inclusion criteria. Five LFVs reached chip-wide significance (CWS: P 〈 2.5E-7) in our all ancestry sex-combined analyses, including one novel non-synonymous LFV in RAPGEF3 [MAF=0.01, β (SE) = -0.09 (0.012), P=1.28E-13]. In addition, one novel RV reached CWS in men for UGGT2 [MAF 〈 0.01, β (SE) = -0.142 (0.025), P=9.71E-9], and one RV reached CWS in women for ACVR1C [MAF 〈 0.01, β (SE) = -0.09 (0.018), P=1.09E-7]. Gene-based analyses identified RAPGEF3 (P=1.18E-11) as significantly associated with WHRa in the all ancestry sex combined analyses after correction for multiple tests (P 〈 2.5E-6), though conditional analysis revealed that this result is driven by the top SV identified in this region. RAPGEF3 also shows a significant association (p=4.68E-12) in all ancestry, sex combined gene-based analysis of BMI. RAPGEF3 is expressed in subcutaneous and visceral adipose tissue, and has been implicated in insulin regulation. RAPGEF3 plays a role in the GLP1 pathway, which controls insulin secretion in response to blood glucose concentration. Our results highlight the importance of large-scale genomic studies for identifying LFV and RV influencing central fat distribution. Understanding these genetic effects may provide insights into the progression of central adiposity and highlight potential population-specific variants that increase susceptibility.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2016
    detail.hit.zdb_id: 1466401-X
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  • 10
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2006
    In:  Stroke Vol. 37, No. 1 ( 2006-01), p. 77-81
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 37, No. 1 ( 2006-01), p. 77-81
    Abstract: Background and Purpose— White matter hyperintensity (WMH) volume is associated with aging and cerebrovascular disease and has been demonstrated to have a high heritability in the Framingham Heart Study as well as in other studies. We performed a genome-wide linkage analysis to identify chromosomal regions that may harbor genes influencing WMH in a family-based sample of the Framingham Heart Study. Methods— Brain magnetic resonance scans were performed, and WMH and total cranial volume (TCV) were quantified as previously described on 2259 cohort and offspring participants. The outcome used for linkage analysis was an age specific (within 10-year age groups) z-score for the natural logarithm of the ratio of WMH to TCV. This z-score was based on 2230 individuals after excluding 26 participants with neurological conditions other than stroke and 3 individuals whose ages were out of range. Variance component linkage analysis included 747 individuals (mean age=62.16±12.43 years) with both magnetic resonance measure and genotype information in 237 families. Mean percent WMH to TCV was 0.098±0.175 with a range of 0.00025% to 1.37% in the linkage analysis subjects. Results— A maximum multipoint logarithm of the odds (LOD) score=3.69, which indicates significant evidence of linkage, was observed at 4 cM on chromosome 4. A suggestive peak with LOD=1.78 was observed at 95 cM on chromosome 17. Conclusion— We have significant evidence that a gene influencing WMH volume is located on chromosome 4 of the human genome.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2006
    detail.hit.zdb_id: 1467823-8
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