The low body mass index (BMI) phenotype of less than 18.5 has been linked to medical and psychological morbidity as well as increased mortality risk. Although genetic factors have been shown to influence BMI across the entire BMI, the contribution of genetic factors to the low BMI phenotype is unclear. We hypothesized genetic factors would contribute to risk of a low BMI phenotype. To test this hypothesis, we conducted a genealogy data analysis using height and weight measurements from driver's license data from the Utah Population Data Base. The Genealogical Index of Familiality (GIF) test and relative risk in relatives were used to examine evidence for excess relatedness among individuals with the low BMI phenotype. The overall GIF test for excess relatedness in the low BMI phenotype showed a significant excess over expected (GIF 4.47 for all cases versus 4.10 for controls, overall empirical p-value<0.001). The significant excess relatedness was still observed when close relationships were ignored, supporting a specific genetic contribution rather than only a family environmental effect. This study supports a specific genetic contribution in the risk for the low BMI phenotype. Better understanding of the genetic contribution to low BMI holds promise for weight regulation and potentially for novel strategies in the treatment of leanness and obesity.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859471 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0080287 | PLOS |
Genes (Basel)
November 2024
Laboratory of Genetics of Aging and Longevity, Kazan State Medical University, 420012 Kazan, Russia.
Background: Obesity is a global health issue influenced primarily by genetic variants and environmental factors. This study aimed to examine the relationship between genetic and lifestyle factors and their interaction with obesity risk among university students.
Methods: A total of 658 students from the same university participated in this study, including 531 females (mean age (SD): 21.
Hum Reprod
January 2025
Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
Study Question: Are empirically derived adolescent overweight/obesity phenotypes differentially associated with polycystic ovary syndrome (PCOS) in young adulthood?
Summary Answer: Self-reported PCOS diagnosis risk in young adulthood varied by empirically derived adolescent overweight/obesity phenotypes, with the highest risk observed among those in the 'mothers with obesity' and 'early puberty' phenotypes.
What Is Known Already: Overweight and obesity during puberty are postulated to promote the development of PCOS. Much of the prior literature in this area is cross-sectional and defines weight status based solely on BMI, yet emerging research suggests that not all people with overweight/obesity have the same risk for chronic health conditions, including PCOS.
Acta Med Philipp
November 2024
Department of Physiology, College of Medicine, University of the Philippines Manila.
Objectives: To compare the effectiveness of different exercise interventions on improving adiposity-related inflammatory markers of metabolically healthy obese (MHO) adults.
Methods: This is a systematic review with meta-analysis of randomized controlled trials (RCTs) and quasi-experimental studies on the effects of exercise interventions in the inflammatory markers of sedentary adults with MHO phenotype. Systematic searches were performed in PubMed, Cochrane, CINAHL, and OVID from January 2021 to January 2022.
J Asthma Allergy
December 2024
Respiratory Medicine, University Hospital of Liège, Liège, Belgium.
Introduction: Physical inactivity due to shortness of breath is common among patients with uncontrolled asthma. We evaluated the body mass composition and exercise capacity of patients with poorly controlled asthma, despite maximal inhalation therapy.
Methods: We recruited 56 patients from the Asthma Clinic of the University Hospital of Liège between September 2020 and December 2023, and 14 healthy subjects.
Diabetol Metab Syndr
January 2025
First Central Clinical Medical Institute, Tianjin Medical University, Tianjin, China.
Background: To identify the relationship between BMI or lipid metabolism and diabetic neuropathy using a Mendelian randomization (MR) study.
Methods: Body constitution-related phenotypes, namely BMI (kg/m), total cholesterol (TC), and triglyceride (TG), were investigated in this study. Despite the disparate origins of these data, all were accessible through the IEU OPEN GWAS database ( https://gwas.
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