ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2013
Candidate gene association study of BMI-related loci, weight, and adiposity in old age.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Polygenic scores and physical fitness prediction: a systematic review.Human genetics · 2026Pooled it
- The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.PLoS genetics · 2015Pooled it
- Meta-analysis of genome-wide association studies for circulating phylloquinone concentrations.The American journal of clinical nutrition · 2014Pooled it
- Genomics of body fat distribution.Journal of genetics · 2021Review
- Associations between body mass index-related genetic variants and adult body composition: The Fenland cohort study.International journal of obesity (2005) · 2017Article
- Associations of fat and muscle tissue with cognitive status in older adults: the AGES-Reykjavik Study.Age and ageing · 2017Article
- Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age.International journal of obesity (2005) · 2016Article
- Article
- Circadian clock genes and risk of fatal prostate cancer.Cancer causes & control : CCC · 2015Article
- Strong influence of dietary intake and physical activity on body fatness in elderly Japanese men: age-associated loss of polygenic resistance against obesity.Genes & nutrition · 2014Article
- Moderate to vigorous physical activity interactions with genetic variants and body mass index in a large US ethnically diverse cohort.Pediatric obesity · 2014Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Most genome-wide association studies are confined to middle-aged populations. It is unclear whether associations between single nucleotide polymorphisms (SNPs) and obesity persist in old age. We aimed to relate 10 body mass index (BMI)-associated SNPs to weight, BMI, % fat, visceral and subcutaneous adipose tissue in Health ABC and AGES-Reykjavik comprising 4,846 individuals of European Ancestry, and 1,139 African Americans over age 65. SNPs were scaled using effect estimates from candidate SNPs. In Health ABC, a SNP near GNPDA2 was modestly associated with weight and SAT area (p = .008, p = .001). Risk score (sum of scaled SNPs) was associated with weight, BMI, and SAT area (p < .0001 for all), but neither GNPDA2 nor risk score was associated with weight, BMI, visceral adippose tissue, subcutaneous adipose tissue, or % fat in AGES-Reykjavik. In African Americans, a SNP near SEC16B was weakly associated with weight (p = .04). In this sample of older adults, no BMI-associated SNPs were associated with weight or adiposity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.