ArticleBone2017
Increased detection of genetic loci associated with risk predictors of osteoporotic fracture using a pleiotropic cFDR method.
Article in Bone, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Linking Alzheimer's disease and type 2 diabetes: Novel shared susceptibility genes detected by cFDR approach.Journal of the neurological sciences · 2017Pooled it
- Review
- Genome-wide association study for bone quality of ducks during the laying period.Poultry science · 2024Article
- Protocol for preliminary, multicenteric validation of "PoCOsteo device": A point of care tool for proteomic and genomic study of osteoporosis.Biology methods & protocols · 2024Article
- A Comprehensive Genome-Wide Association Study of Carotenoid and Capsaicinoid Contents inInternational journal of molecular sciences · 2023Article
- Genome-Wide Association Study of Phenolic Content and Antioxidant Properties in Eggplant Germplasm.Genes · 2023Article
- Identification of genetic loci shared between Alzheimer's disease and hypertension.Molecular genetics and genomics : MGG · 2022Article
- Identification of PDXDC1 as a novel pleiotropic susceptibility locus shared between lumbar spine bone mineral density and birth weight.Journal of molecular medicine (Berlin, Germany) · 2022Article
- Identification of novel functional CpG-SNPs associated with Type 2 diabetes and birth weight.Aging · 2021Article
- Enhanced Identification of Novel Potential Variants for Appendicular Lean Mass by Leveraging Pleiotropy With Bone Mineral Density.Frontiers in immunology · 2021Article
- Helicobacter pylori Related Diseases and Osteoporotic Fractures (Narrative Review).Journal of clinical medicine · 2020Review
- Genetic Pleiotropy of Bone-Related Phenotypes: Insights from Osteoporosis.Current osteoporosis reports · 2020Review
- Identification of pleiotropic genes between risk factors of stroke by multivariate metaCCA analysis.Molecular genetics and genomics : MGG · 2020Article
- A road map for understanding molecular and genetic determinants of osteoporosis.Nature reviews. Endocrinology · 2020Review
- Identifying Pleiotropic SNPs Associated With Femoral Neck and Heel Bone Mineral Density.Frontiers in genetics · 2020Article
- Improved detection of common variants in coronary artery disease and blood pressure using a pleiotropy cFDR method.Scientific reports · 2019Article
- Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method.Journal of diabetes and its complications · 2018Article
- Article
- Identifying potentially common genes between dyslipidemia and osteoporosis using novel analytical approaches.Molecular genetics and genomics : MGG · 2018Article
- Improved detection of genetic loci in estimated glomerular filtration rate and type 2 diabetes using a pleiotropic cFDR method.Molecular genetics and genomics : MGG · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Although GWAS have been successful in identifying some osteoporosis associated loci, the findings explain only a small fraction of the total genetic variance. In this study we use a recently developed novel pleiotropic conditional false discovery rate (cFDR) method to identify novel genetic loci associated with two risk traits for osteoporotic fracture (the clinical outcome and end result of osteoporosis), Height (HT) and Femoral Neck (FNK) BMD. The cFDR method allows us to improve the detection of associated variants by incorporating any potentially shared genetic mechanisms between the two associated traits. We analyzed the summary statistics from two GWAS meta-analyses for single nucleotide polymorphisms (SNPs) that are associated with HT and FNK BMD. Using the cFDR method, we show enrichment in the identification of SNPs associated with each trait conditioned on their strength of association with the second trait. The findings revealed 18 SNPs that are associated with both HT and FNK BMD, 4 of which had not previously been reported to play a role in bone health. The novel SNPs located at KIF1B and the intergenic region between FERD3L and TWISTNB are noteworthy as these genes may be associated with processes that are functionally important in bone metabolism. By leveraging GWAS results from related phenotypes we identified several novel loci that may contribute to the proportion of variability explained for each trait, although we cannot speculate about these potential contributions to heritability based on this analysis alone.
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.