학술논문

Genetic Sharing with Cardiovascular Disease Risk Factors and Diabetes Reveals Novel Bone Mineral Density Loci.
Document Type
article
Source
PloS one. 10(12)
Subject
GEFOS Consortium
Humans
Cardiovascular Diseases
Diabetes Mellitus
Type 1
Diabetes Mellitus
Type 2
Genetic Predisposition to Disease
Waist-Hip Ratio
Bone Density
Polymorphism
Single Nucleotide
Models
Genetic
Gene Regulatory Networks
Genome-Wide Association Study
Genetic Loci
Genetic Pleiotropy
Diabetes Mellitus
Type 1
Type 2
Polymorphism
Single Nucleotide
Models
Genetic
Osteoporosis
Diabetes
Human Genome
Prevention
Aging
Heart Disease
Cardiovascular
Genetics
2.1 Biological and endogenous factors
4.1 Discovery and preclinical testing of markers and technologies
Musculoskeletal
Metabolic and Endocrine
General Science & Technology
Language
Abstract
Bone Mineral Density (BMD) is a highly heritable trait, but genome-wide association studies have identified few genetic risk factors. Epidemiological studies suggest associations between BMD and several traits and diseases, but the nature of the suggestive comorbidity is still unknown. We used a novel genetic pleiotropy-informed conditional False Discovery Rate (FDR) method to identify single nucleotide polymorphisms (SNPs) associated with BMD by leveraging cardiovascular disease (CVD) associated disorders and metabolic traits. By conditioning on SNPs associated with the CVD-related phenotypes, type 1 diabetes, type 2 diabetes, systolic blood pressure, diastolic blood pressure, high density lipoprotein, low density lipoprotein, triglycerides and waist hip ratio, we identified 65 novel independent BMD loci (26 with femoral neck BMD and 47 with lumbar spine BMD) at conditional FDR < 0.01. Many of the loci were confirmed in genetic expression studies. Genes validated at the mRNA levels were characteristic for the osteoblast/osteocyte lineage, Wnt signaling pathway and bone metabolism. The results provide new insight into genetic mechanisms of variability in BMD, and a better understanding of the genetic underpinnings of clinical comorbidity.