Publications by authors named "Shelly-Ann M Love"

Article Synopsis
  • - The study investigates the relationship between home radon exposure and stroke risk in middle-aged and older women in the U.S., using data from the Women's Health Initiative cohort of postmenopausal women.
  • - Results show that women exposed to radon levels of 2-4 pCi/L and over 4 pCi/L had increased risks of stroke compared to those with lower exposures, with specific risks associated with different types of strokes.
  • - The findings suggest that even radon levels below the EPA's mitigation threshold can pose a health risk, highlighting the need for further evaluation of radon exposure and its potential effects on stroke.
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  • The study investigates the potential link between radon exposure and clonal hematopoiesis of indeterminate potential (CHIP), which may increase the risk of blood cancers and heart diseases.
  • Researchers analyzed data from nearly 11,000 participants to assess the relationship between indoor radon levels and the presence of CHIP, noting varying risks based on radon concentration zones.
  • Results showed that higher radon exposure (in Zones 1 and 2) is associated with an increased risk of CHIP in individuals who have had ischemic strokes, whereas no significant risks were found in those with hemorrhagic strokes or those without stroke histories.
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  • Clonal hematopoiesis of indeterminate potential (CHIP) can lead to increased risks of cardiovascular diseases, cancer, and mortality among individuals, particularly affecting postmenopausal women.
  • The study assessed the influence of socioeconomic status (SES) at both individual and neighborhood levels on the prevalence of CHIP, incorporating factors like education, income, and personal resources.
  • Results indicate that better neighborhood SES correlates with a slight increase in CHIP risk, but high levels of optimism among women appear to reduce this risk, suggesting that positive psychological factors may mitigate the effects of socio-economic disadvantage on health.
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It has been reported that residents of low-socioeconomic-status (SES) neighborhoods have a higher risk of developing cardiovascular disease (CVD). However, most of the previous studies focused on 1-time measurement of neighborhood SES in middle-to-older adulthood and lacked demographic diversity to allow for comparisons across different race/ethnicity and sex groups. We examined neighborhood SES in childhood and young, middle, and older adulthood in association with CVD risk among Black and White men and women in the Atherosclerosis Risk in Communities Study (1996-2019).

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Central obesity is a leading health concern with a great burden carried by ethnic minority populations, especially Hispanics/Latinos. Genetic factors contribute to the obesity burden overall and to inter-population differences. We aimed to identify the loci associated with central adiposity measured as waist-to-hip ratio (WHR), waist circumference (WC) and hip circumference (HIP) adjusted for body mass index (adjBMI) by using the Hispanic Community Health Study/Study of Latinos (HCHS/SOL); determine if differences in associations differ by background group within HCHS/SOL and determine whether previously reported associations generalize to HCHS/SOL.

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Genome-wide association studies have revolutionized our understanding of the genetic underpinnings of cardiometabolic disease. Yet, the inadequate representation of individuals of diverse ancestral backgrounds in these studies may undercut their ultimate potential for both public health and precision medicine. The goal of this review is to describe the imperativeness of studying the populations who are most affected by cardiometabolic disease, to the aim of better understanding the genetic underpinnings of the disease.

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Faster rates of age-related cognitive decline might result in early onset of cognitive impairment and dementia. The relationship between ethanol intake and cognitive decline, although studied extensively, remains poorly understood. Previous studies used single measurements of ethanol, and few were conducted in diverse populations.

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Article Synopsis
  • Nearly 50% of U.S. adults with hypertension use medications, but individual responses to these drugs vary widely; researchers are using two methods to study how genes and medication interact to affect blood pressure.* -
  • The interaction model generally showed larger estimated effect sizes and a lower rate of false positives compared to the med-diff approach, especially with common genetic variants (MAF >5%).* -
  • While both methods performed similarly for common variants, the interaction model was more reliable for detecting true effects with less bias overall.*
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Background: There is great interindividual variation in systolic blood pressure (SBP) as a result of the influences of several factors, including sex, ancestry, smoking status, medication use, and, especially, age. The majority of genetic studies have examined SBP measured cross-sectionally; however, SBP changes over time, and not necessarily in a linear fashion. Therefore, this study conducted a genome-wide association (GWA) study of SBP change trajectories using data available through the Genetic Analysis Workshop 19 (GAW19) of 959 individuals from 20 extended Mexican American families from the San Antonio Family Studies with up to 4 measures of SBP.

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