148 research outputs found
Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
Lean body mass, consisting mostly of skeletal muscle, is important for healthy
aging. We performed a genome-wide association study for whole body (20 cohorts
of European ancestry with n = 38,292) and appendicular (arms and legs) lean
body mass (n = 28,330) measured using dual energy X-ray absorptiometry or
bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass.
Twenty-one single-nucleotide polymorphisms were significantly associated with
lean body mass either genome wide (p < 5 × 10−8) or suggestively genome wide
(p < 2.3 × 10−6). Replication in 63,475 (47,227 of European ancestry)
individuals from 33 cohorts for whole body lean body mass and in 45,090
(42,360 of European ancestry) subjects from 25 cohorts for appendicular lean
body mass was successful for five single-nucleotide polymorphisms in/near
HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three
single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for
appendicular lean body mass. Our findings provide new insight into the
genetics of lean body mass
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Candidate gene analysis of femoral neck trabecular and cortical volumetric bone mineral density in older men.
In contrast to conventional dual-energy X-ray absorptiometry, quantitative computed tomography separately measures trabecular and cortical volumetric bone mineral density (vBMD). Little is known about the genetic variants associated with trabecular and cortical vBMD in humans, although both may be important for determining bone strength and osteoporotic risk. In the current analysis, we tested the hypothesis that there are genetic variants associated with trabecular and cortical vBMD at the femoral neck by genotyping 4608 tagging and potentially functional single-nucleotide polymorphisms (SNPs) in 383 bone metabolism candidate genes in 822 Caucasian men aged 65 years or older from the Osteoporotic Fractures in Men Study (MrOS). Promising SNP associations then were tested for replication in an additional 1155 men from the same study. We identified SNPs in five genes (IFNAR2, NFATC1, SMAD1, HOXA, and KLF10) that were robustly associated with cortical vBMD and SNPs in nine genes (APC, ATF2, BMP3, BMP7, FGF18, FLT1, TGFB3, THRB, and RUNX1) that were robustly associated with trabecular vBMD. There was no overlap between genes associated with cortical vBMD and trabecular vBMD. These findings identify novel genetic variants for cortical and trabecular vBMD and raise the possibility that some genetic loci may be unique for each bone compartment
Meta-analysis of genome-wide studies identifies MEF2C SNPs associated with bone mineral density at forearm
Background: Forearm fractures affect 1.7 million individuals worldwide each year and most occur earlier in life than hip fractures. While the heritability of forearm bone mineral density (BMD) and fracture is high, their genetic determinants are largely unknown. Aim: To identify genetic variants associated with forearm BMD and forearm fractures. Methods: BMD at distal radius, measured by dualenergy x-ray absorptiometry, was tested for association with common genetic variants. We conducted a metaanalysis of genome-wide association studies for BMD in 5866 subjects of European descent and then selected the variants for replication in 715 Mexican American samples. Gene-based association was carried out to supplement the single-nucleotide polymorphism (SNP) association test. We then tested the BMD-associated SNPs for association with forearm fracture in 2023 cases and 3740 controls. Results: We found that five SNPs in the introns of MEF2C were associated with forearm BMD at a genome-wide significance level (
Insulin Resistance Exacerbates Genetic Predisposition to Nonalcoholic Fatty Liver Disease in Individuals Without Diabetes
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149741/1/hep41353.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149741/2/hep41353_am.pd
Candidate Gene Analysis of Femoral Neck Trabecular and Cortical Volumetric Bone Mineral Density in Older Men
In contrast to conventional dual-energy X-ray absorptiometry, quantitative computed tomography separately measures trabecular and cortical volumetric bone mineral density (vBMD). Little is known about the genetic variants associated with trabecular and cortical vBMD in humans, although both may be important for determining bone strength and osteoporotic risk. In the current analysis, we tested the hypothesis that there are genetic variants associated with trabecular and cortical vBMD at the femoral neck by genotyping 4608 tagging and potentially functional single-nucleotide polymorphisms (SNPs) in 383 bone metabolism candidate genes in 822 Caucasian men aged 65 years or older from the Osteoporotic Fractures in Men Study (MrOS). Promising SNP associations then were tested for replication in an additional 1155 men from the same study. We identified SNPs in five genes (IFNAR2, NFATC1, SMAD1, HOXA, and KLF10) that were robustly associated with cortical vBMD and SNPs in nine genes (APC, ATF2, BMP3, BMP7, FGF18, FLT1, TGFB3, THRB, and RUNX1) that were robustly associated with trabecular vBMD. There was no overlap between genes associated with cortical vBMD and trabecular vBMD. These findings identify novel genetic variants for cortical and trabecular vBMD and raise the possibility that some genetic loci may be unique for each bone compartment. © 2010 American Society for Bone and Mineral Researc
Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche.
Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 × 10(-8)) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and γ-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition
Meta-Analysis of Genomewide Association Studies Reveals Genetic Variants for Hip Bone Geometry
Hip geometry is an important predictor of fracture. We performed a meta-analysis of GWAS studies in adults to identify genetic variants that are associated with proximal femur geometry phenotypes. We analyzed four phenotypes: (i) femoral neck length; (ii) neck-shaft angle; (iii) femoral neck width, and (iv) femoral neck section modulus, estimated from DXA scans using algorithms of hip structure analysis. In the Discovery stage, 10 cohort studies were included in the fixed-effect meta-analysis, with up to 18,719 men and women ages 16 to 93 years. Association analyses were performed with ∼2.5 million polymorphisms under an additive model adjusted for age, body mass index, and height. Replication analyses of meta-GWAS significant loci (at adjusted genomewide significance [GWS], threshold p ≤ 2.6 × 10 –8 ) were performed in seven additional cohorts in silico. We looked up SNPs associated in our analysis, for association with height, bone mineral density (BMD), and fracture. In meta-analysis (combined Discovery and Replication stages), GWS associations were found at 5p15 (IRX1 and ADAMTS16); 5q35 near FGFR4; at 12p11 (in CCDC91); 11q13 (near LRP5 and PPP6R3 (rs7102273)). Several hip geometry signals overlapped with BMD, including LRP5 (chr. 11). Chr. 11 SNP rs7102273 was associated with any-type fracture (p = 7.5 × 10 –5 ). We used bone transcriptome data and discovered several significant eQTLs, including rs7102273 and PPP6R3 expression (p = 0.0007), and rs6556301 (intergenic, chr.5 near FGFR4) and PDLIM7 expression (p = 0.005). In conclusion, we found associations between several genes and hip geometry measures that explained 12% to 22% of heritability at different sites. The results provide a defined set of genes related to biological pathways relevant to BMD and etiology of bone fragility
Assessment of gene-by-sex interaction effect on bone mineral density
To access publisher's full text version of this article. Please click on the hyperlink in Additional Links field.Sexual dimorphism in various bone phenotypes, including bone mineral density (BMD), is widely observed; however, the extent to which genes explain these sex differences is unclear. To identify variants with different effects by sex, we examined gene-by-sex autosomal interactions genome-wide, and performed expression quantitative trait loci (eQTL) analysis and bioinformatics network analysis. We conducted an autosomal genome-wide meta-analysis of gene-by-sex interaction on lumbar spine (LS) and femoral neck (FN) BMD in 25,353 individuals from 8 cohorts. In a second stage, we followed up the 12 top single-nucleotide polymorphisms (SNPs; p < 1 × 10(-5) ) in an additional set of 24,763 individuals. Gene-by-sex interaction and sex-specific effects were examined in these 12 SNPs. We detected one novel genome-wide significant interaction associated with LS-BMD at the Chr3p26.1-p25.1 locus, near the GRM7 gene (male effect = 0.02 and p = 3.0 × 10(-5) ; female effect = -0.007 and p = 3.3 × 10(-2) ), and 11 suggestive loci associated with either FN- or LS-BMD in discovery cohorts. However, there was no evidence for genome-wide significant (p < 5 × 10(-8) ) gene-by-sex interaction in the joint analysis of discovery and replication cohorts. Despite the large collaborative effort, no genome-wide significant evidence for gene-by-sex interaction was found to influence BMD variation in this screen of autosomal markers. If they exist, gene-by-sex interactions for BMD probably have weak effects, accounting for less than 0.08% of the variation in these traits per implicated SNP. © 2012 American Society for Bone and Mineral Research.Medtronic
NIH R01 AG18728
R01HL088119
R01AR046838
U01 HL084756
R01 AR43351
P01-HL45522
R01-MH-078111
R01-MH-083824
Nutrition and Obesity Research Center of Maryland P30DK072488
NIAMS/NIH F32AR059469
Instituto de Salud Carlos III-FIS (Spanish Health Ministry) PI 06/0034
PI08/0183
Canadian Institutes of Health Research (CIHR)
NHLBI HHSN268201200036C
N01-HC-85239
N01-HC-85079
N01-HC-85086
N01-HC-35129
N01 HC15103
N01 HC-55222
N01-HC-75150
N01-HC-45133
HL080295
HL087652
HL105756
NIA AG-023629
AG-15928
AG-20098
AG-027058
N01AG62101
N01AG62103
N01AG62106
1R01AG032098-01A1
National Center of Advancing Translational Technologies CTSI UL1TR000124
National Institute of Diabetes and Digestive and Kidney Diseases DK063491
EUROSPAN (European Special Populations Research Network)
European Commission FP6 STRP grant 018947
LSHG-CT-2006-01947
Netherlands Organisation for Scientific Research
Erasmus MC
Centre for Medical Systems Biology (CMSB)
Netherlands Brain Foundation (HersenStichting Nederland)
US National Institute for Arthritis, Musculoskeletal and Skin Diseases
National Institute on Aging R01 AR/AG41398
R01 AR050066
R21 AR056405
National Heart, Lung, and Blood Institute's Framingham Heart Study N01-HC-25195
Affymetrix, Inc. N02-HL-6-4278
Canadian Institutes of Health Research from Institute of Aging 165446
Institute of Genetics 179433
Institute of Musculoskeletal health 221765
Intramural Research Program of the NIH, National Institute on Aging
National Institutes of Health HHSN268200782096C
Hong Kong Research Grant Council HKU 768610M
Bone Health Fund of HKU Foundation
KC Wong Education Foundation
Small Project Funding 201007176237
Matching Grant
CRCG Grant
Osteoporosis and Endocrine Research Fund
Genomics Strategic Research Theme of The University of Hong Kong
Netherlands Organisation of Scientific Research NWO Investments 175.010.2005.011
911-03-012
Research Institute for Diseases in the Elderly 014-93-015
Netherlands Genomics Initiative (NGI)/Netherlands Consortium for Healthy Aging (NCHA) 050-060-810
Erasmus Medical Center and Erasmus University, Rotterdam
Netherlands Organization for the Health Research and Development (ZonMw)
Research Institute for Diseases in the Elderly (RIDE)
Ministry of Education, Culture and Science
Ministry for Health, Welfare and Sports
European Commission (DG XII)
Municipality of Rotterdam
German Bundesministerium fur Forschung und Technology 01 AK 803 A-H
01 IG 07015
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