ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2014
Association analyses of insulin signaling pathway gene polymorphisms with healthy aging and longevity in Americans of Japanese ancestry.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed, 15 citations in OpenAlex.
- Genetic and epigenetic regulation of human aging and longevity.Biochimica et biophysica acta. Molecular basis of disease · 2019Review
- The Effect of Exercise on Glucoregulatory Hormones: A Countermeasure to Human Aging: Insights from a Comprehensive Review of the Literature.International journal of environmental research and public health · 2019Review
- Analysis of Polymorphisms in 59 Potential Candidate Genes for Association With Human Longevity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018Article
- FOXO3 and Exceptional Longevity: Insights From Hydra to Humans.Current topics in developmental biology · 2018Article
- Association of Polymorphisms in Connective Tissue Growth Factor and Epidermal Growth Factor Receptor Genes With Human Longevity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017Article
- Exome-wide Association Study Identifies CLEC3B Missense Variant p.S106G as Being Associated With Extreme Longevity in East Asian Populations.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017Article
- Who are the Okinawans? Ancestry, genome diversity, and implications for the genetic study of human longevity from a geographically isolated population.The journals of gerontology. Series A, Biological sciences and medical sciences · 2014Article
- Genetics of healthy aging and longevity.Human genetics · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
Evidence from model organisms suggests that the insulin/IGF-1 signaling pathway has an important, evolutionarily conserved influence over rate of aging and thus longevity. In humans, the FOXO3 gene is the only widely replicated insulin/IGF-1 signaling pathway gene associated with longevity across multiple populations. Therefore, we conducted a nested case-control study of other insulin/IGF-1 signaling genes and longevity, utilizing a large, homogeneous, long-lived population of American men of Japanese ancestry, well characterized for aging phenotypes. Genotyping was performed of single nucleotide polymorphisms, tagging most of the genetic variation across several genes in the insulin/IGF-1 signaling pathway or related gene networks that may be influenced by FOXO3, namely, ATF4, CBL, CDKN2, EXO1, and JUN. Two initial, marginal associations with longevity did not remain significant after correction for multiple comparisons, nor were they correlated with aging-related phenotypes.
Indexed as
Identifiers
What OpenQuestion holds
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.