ArticleBone2018
Assessing the genetic correlations between early growth parameters and bone mineral density: A polygenic risk score analysis.
Article in Bone, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
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Who cites it
5 citing papers in PubMed.
- Novel SNP Combination for Predictive Osteoporotic Diagnosis.International journal of molecular sciences · 2025Article
- Genome-wide association study of osteoporosis identifies genetic risk and interactions with Dietary Approaches to Stop Hypertension diet and sugar-sweetened beverages in a Hispanic cohort of older adults.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024Article
- Article
- Twelve years of GWAS discoveries for osteoporosis and related traits: advances, challenges and applications.Bone research · 2021Review
- Genetics of early growth traits.Human molecular genetics · 2020Review
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
objectiveThe relationships between early growth parameters and bone mineral density (BMD) remain elusive now. In this study, we performed a large scale polygenic risk score (PRS) analysis to evaluate the potential impact of early growth parameters on the variations of BMD.
methodsWe used 2286 Caucasian subjects as cohort 1 and 3404 Framingham Heart Study (FHS) subjects as cohort 2 in this study. BMD at ulna & radius, hip and spine were measured using dual energy X-ray absorptiometry. BMD values were adjusted for age, sex, height and weight as covariates. Genome-wide single-nucleotide polymorphism (SNP) genotyping of the 2286 Caucasian subjects was performed using Affymetrix Human SNP Array 6.0. The GWAS datasets of early growth parameters were driven from the Early Growth Genetics Consortium, including birth weight (BW), birth head circumference (BHC), childhood body mass index (CBMI), pubertal height growth related indexes and tanner stage. Polygenic Risk Score (PRSice) and linkage disequilibrium (LD) score regression analysis were conducted to assess the genetic correlation between early growth parameters and BMD.
resultsWe detected significant genetic correlations in cohort 1, such as total spine BMD vs. CBMI (p value = 1.51 × 10
conclusionOur study results suggest that some early growth parameters could affect the variations of BMD.
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Registered trials
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