Relevance of the genes for bone mass variation to susceptibility to osteoporotic fractures and its implications to gene search for complex human diseases.

Abstract:

:We investigate the relevance of the genetic determination of bone mineral density (BMD) variation to that of differential risk to osteoporotic fractures (OF). The high heritability (h(2)) of BMD and the significant phenotypic correlations between high BMD and low risk to OF are well known. Little is reported on h(2) for OF. Extensive molecular genetic studies aimed at uncovering genes for differential risks to OF have focussed on BMD as a surrogate phenotype. However, the relevance of the genetic determination of BMD to that of OF is unknown. This relevance can be characterized by genetic correlation between BMD and OF. For 50 Caucasian pedigrees, we estimated that h(2) at the hip is 0.65 (P < 0.0001) for BMD and 0.53 (P < 0.05) for OF; however, the genetic correlation between BMD and OF is nonsignificant (P > 0.45) and less than 1% of additive genetic variance is shared between them. Hence, most genes found important for BMD may not be relevant to OF at the hip. The phenotypic correlation between high BMD and low risk to OF at the hip (approximately -0.30) is largely due to an environmental correlation (rho(E) = -0.73, P < 0.0001). The search for genes for OF should start with a significant h(2) for OF and should include risk factors (besides BMD) that are genetically correlated with OF. All genes found important for various risk factors must be tested for their relevance to OF. Ideally, employing OF per se as a direct phenotype for gene hunting and testing can ensure the importance and direct relevance of the genes found for the risk of OF. This study may have significant implications for the common practice of gene search for complex diseases through underlying risk factors (usually quantitative traits).

journal_name

Genet Epidemiol

journal_title

Genetic epidemiology

authors

Deng HW,Mahaney MC,Williams JT,Li J,Conway T,Davies KM,Li JL,Deng H,Recker RR

doi

10.1002/gepi.1040

subject

Has Abstract

pub_date

2002-01-01 00:00:00

pages

12-25

issue

1

eissn

0741-0395

issn

1098-2272

pii

10.1002/gepi.1040

journal_volume

22

pub_type

杂志文章
  • Major gene with sex-specific effects influences fat mass in Mexican Americans.

    abstract::Increased adiposity has repeatedly been identified as a major risk factor for a variety of chronic diseases. However, the question still remains whether the amount of adipose tissue itself is genetically mediated. To address this question, a segregation analysis, using maximum likelihood techniques as implemented in t...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370120505

    authors: Comuzzie AG,Blangero J,Mahaney MC,Mitchell BD,Hixson JE,Samollow PB,Stern MP,MacCluer JW

    更新日期:1995-01-01 00:00:00

  • Adjustment for competing risk in kin-cohort estimation.

    abstract::Kin-cohort design can be used to study the effect of a genetic mutation on the risk of multiple events, using the same study. In this design, the outcome data consist of the event history of the relatives of a sample of genotyped subjects. Existing methods for kin-cohort estimation allow estimation of the risk of one ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.10269

    authors: Chatterjee N,Hartge P,Wacholder S

    更新日期:2003-12-01 00:00:00

  • The role of environmental heterogeneity in meta-analysis of gene-environment interactions with quantitative traits.

    abstract::With challenges in data harmonization and environmental heterogeneity across various data sources, meta-analysis of gene-environment interaction studies can often involve subtle statistical issues. In this paper, we study the effect of environmental covariate heterogeneity (within and between cohorts) on two approache...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.21810

    authors: Li S,Mukherjee B,Taylor JM,Rice KM,Wen X,Rice JD,Stringham HM,Boehnke M

    更新日期:2014-07-01 00:00:00

  • Permutation-based adjustments for the significance of partial regression coefficients in microarray data analysis.

    abstract::The aim of this paper is to generalize permutation methods for multiple testing adjustment of significant partial regression coefficients in a linear regression model used for microarray data. Using a permutation method outlined by Anderson and Legendre [1999] and the permutation P-value adjustment from Simon et al. [...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.20255

    authors: Wagner BD,Zerbe GO,Mexal S,Leonard SS

    更新日期:2008-01-01 00:00:00

  • Epidemiologic analysis of gene-environment interaction in twins.

    abstract::Our aim was to develop a simple method for testing gene-environment interaction in twin data ascertained through affected twins (probands), with known exposure status of both cotwins. To this end we derived formulae for two epidemiologic measures, as a function of prevalence of an exposure and genotype, and disease ri...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370110108

    authors: Ottman R

    更新日期:1994-01-01 00:00:00

  • Effect of physical activity on lipid levels in a population-based sample of men with and without the Arg192 variant of the human paraoxonase gene.

    abstract::The prevalence of cardiovascular risk factors in Gerona, Spain, is high for the low myocardial infarction incidence and mortality rates in the province. Physical activity is a protective factor against coronary heart disease. We investigated whether the genetic variants Q and R of the paraoxonase Gln-Arg 192 polymorph...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/(SICI)1098-2272(200003)18:3<276::AID-GEPI6

    authors: Sentí M,Aubó C,Elosua R,Sala J,Tomás M,Marrugat J

    更新日期:2000-03-01 00:00:00

  • Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15.

    abstract::The research presented in group 11 of the Genetic Analysis Workshop 15 (GAW15) falls into two major themes: Model selection approaches for gene mapping (both Bayesian and Frequentist); and other Bayesian methods. These methods either allow relaxation of some of the common assumptions, such as mode of inheritance, for ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章,评审

    doi:10.1002/gepi.20285

    authors: Swartz MD,Thomas DC,Daw EW,Albers K,Charlesworth JC,Dyer TC,Fridley BL,Govil M,Kraft P,Kwon S,Logue MW,Oh C,Pique-Regi R,Saba L,Schumacher FR,Uh HW

    更新日期:2007-01-01 00:00:00

  • Major locus inheritance of apolipoprotein B in Utah pedigrees.

    abstract::A major locus that determines levels of apolipoprotein B (apoB) was revealed by likelihood analysis on 331 members of 36 pedigrees. The major locus explained 43.2% of the observed variance, with the remainder attributed to random environmental factors. Estimated mean apoB levels (mg/dl) were 110.5 +/- 2.5, 141.9 +/- 4...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370040202

    authors: Hasstedt SJ,Wu L,Williams RR

    更新日期:1987-01-01 00:00:00

  • Allelic association in large pedigrees.

    abstract::We subjected the first replication of the simulated isolated population data set to a novel analysis for association between marker alleles and either disease phenotypes or quantitative variable. The analysis depends on being able to reliably reconstruct all haplotypes in the pedigree. This was achieved using the MCLI...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.2001.21.s1.s571

    authors: Gutin A,Abkevich V,Camp NJ,Farnham JM,Cannon-Albright L,Thomas A

    更新日期:2001-01-01 00:00:00

  • Familial analysis of eosinophilia caused by helminthic parasites.

    abstract::A highly significant familial aggregation of eosinophil levels (X2(3) = 38.00) was detected in a sample from three Brazilian populations with a high incidence of helminthic parasitism. The data were unable to resolve genetic or common environment causation due to the lack of environmental concomitant variables. Result...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370090305

    authors: Moro-Furlani AM,Krieger H

    更新日期:1992-01-01 00:00:00

  • Hierarchical Bayesian model for rare variant association analysis integrating genotype uncertainty in human sequence data.

    abstract::Next-generation sequencing (NGS) has led to the study of rare genetic variants, which possibly explain the missing heritability for complex diseases. Most existing methods for rare variant (RV) association detection do not account for the common presence of sequencing errors in NGS data. The errors can largely affect ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.21871

    authors: He L,Pitkäniemi J,Sarin AP,Salomaa V,Sillanpää MJ,Ripatti S

    更新日期:2015-02-01 00:00:00

  • Constructing meiotic maps with known error probability.

    abstract::We propose methods to construct meiotic gene maps while controlling the probability of a decision-error. First, a single step gene ordering procedure is presented whose decision-error probability is bounded above by a prespecified threshold. The bound for the error probability is valid under quite general circumstance...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/(SICI)1098-2272(1999)16:3<274::AID-GEPI4>3

    authors: Rogatko A,Babb J,Jordan H,Zacks S

    更新日期:1999-01-01 00:00:00

  • Using case-control designs for genome-wide screening for associations between genetic markers and disease susceptibility loci.

    abstract::We used a case-control design to scan the genome for any associations between genetic markers and disease susceptibility loci using the first two replicates of the Mycenaean population from the GAW11 (Problem 2) data. Using a case-control approach, we constructed a series of 2-by-3 tables for each allele of every mark...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.13701707128

    authors: Yang Q,Khoury MJ,Atkinson M,Sun F,Cheng R,Flanders WD

    更新日期:1999-01-01 00:00:00

  • Analysis of bipolar disorder using affected relatives.

    abstract::We have analyzed the GAW10 data from several studies of bipolar affective disorder (BPAD) using the software packages SimIBD and SIMWALK2. SimIBD implements a simulation-based affected-pedigree-member (APM) statistic, called SimAPM, as well as an APM-like statistic, also called SimIBD, that measures identical-by-desce...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/(SICI)1098-2272(1997)14:6<605::AID-GEPI9>3

    authors: Davis S,Sobel E,Marinov M,Weeks DE

    更新日期:1997-01-01 00:00:00

  • Affected relative pairs and simultaneous search for two-locus linkage in the presence of epistasis.

    abstract::It is commonly believed that multiple interacting genes increase the susceptibility of genetically complex diseases, yet few linkage analyses of human diseases scan for more than one locus at a time. To overcome some of the statistical and computational limitations of a simultaneous search for two disease susceptibili...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.20223

    authors: Schaid DJ,McDonnell SK,Carlson EE,Thibodeau SN,Ostrander EA,Stanford JL

    更新日期:2007-07-01 00:00:00

  • Comparison of variance components, ANOVA and regression of offspring on midparent (ROMP) methods for SNP markers.

    abstract::An extension of the traditional regression of offspring on midparent (ROMP) method was used to estimate the heritability of the trait, test for marker association, and estimate the heritability attributable to a marker locus. The fifty replicates of the Genetic Analysis Workshop (GAW) 12 simulated general population d...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.2001.21.s1.s794

    authors: Pugh EW,Papanicolaou GJ,Justice CM,Roy-Gagnon MH,Sorant AJ,Kingman A,Wilson AF

    更新日期:2001-01-01 00:00:00

  • The power of iterated generalized least squares (GLS) method to detect direct relationships in the analysis of correlated quantitative traits.

    abstract::We examined the power of the stepwise iterated generalized least squares (GLS) method by modeling the relationship between quantitative traits and other variables using the simulated data for Problem 2A. The comparison between the generating model provided by the workshop and the results of the stepwise iterated GLS m...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/(SICI)1098-2272(1997)14:6<797::AID-GEPI39>

    authors: He Q,Nemesure BB,Mendell NR

    更新日期:1997-01-01 00:00:00

  • A two-locus model for familial Alzheimer's disease?

    abstract::The present findings for familial Alzheimer's disease suggest a possible linkage to gene(s) on chromosome 21 for the early onset form and to chromosome 19 for the late onset. Since these results are not unequivocal, possible alternative hypotheses include the effect of genetic heterogeneity or of an oligogenic model o...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370100618

    authors: Macciardi F,Cavallini MC

    更新日期:1993-01-01 00:00:00

  • Genetic heterogeneity in Alzheimer's disease: a grade of membership analysis.

    abstract::Grade of membership analysis (GoM) may have particular relevance for genetic epidemiology. The method can flexibly relate genetic markers, clinical features, and environmental exposures to possible subtypes of disease termed pure types even when population allele frequencies and penetrance functions are not known. Hen...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370100628

    authors: Corder EH,Woodbury MA

    更新日期:1993-01-01 00:00:00

  • Score tests for familial correlation in genotyped-proband designs.

    abstract::In the genotyped-proband design, a proband is selected based on an observed phenotype, the genotype of the proband is observed, and then the phenotypes of all first-degree relatives are obtained. The genotypes of these first-degree relatives are not observed. Gail et al. [(1999) Genet Epidemiol] discuss likelihood ana...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/(SICI)1098-2272(200004)18:4<293::AID-GEPI3

    authors: Carroll RJ,Gail MH,Benichou J,Pee D

    更新日期:2000-04-01 00:00:00

  • Heritability analysis of nontraditional glycemic biomarkers in the Atherosclerosis Risk in Communities Study.

    abstract::Nontraditional glycemic biomarkers, including fructosamine, glycated albumin, and 1,5-anhydroglucitol (1,5-AG) are potential alternatives or complement to traditional measures of hyperglycemia. Genetic variants are associated with these biomarkers, but the heritability, or extent to which genetics control their variat...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.22243

    authors: Loomis SJ,Tin A,Coresh J,Boerwinkle E,Pankow JS,Köttgen A,Selvin E,Duggal P

    更新日期:2019-10-01 00:00:00

  • Comparison of the QTDT analysis for IgE in the CSGA data set.

    abstract::Over the past few years at least 13 transmission/disequilibrium test (TDT)-based tests have been developed for quantitative (Q) traits for the assessment of association or linkage in the presence of the other. A total of six of these QTDT methods were used to analyze log10IgE in the Collaborative Study on the Genetics...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.2001.21.s1.s312

    authors: Page GP,Wilcox MA,Occhiuto J,Adak S,Neuberg D,Bajorunaite R,George V

    更新日期:2001-01-01 00:00:00

  • Autoimmune thyroid disease in type I diabetic families.

    abstract::The prevalence rate for autoimmune thyroid disease (ATD) is about 30 times higher in the type I diabetic (IDDM) families that were ascertained for Genetic Analysis Workshop 5 (GAW5) than in the general population. Two approaches were used to study the clustering of ATD and IDDM in these families: 1) HLA haplotype shar...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370060126

    authors: Payami H,Joe S,Thomson G

    更新日期:1989-01-01 00:00:00

  • Lifestyle and blood pressure levels in male twins in Utah.

    abstract::Healthy male monozygotic (MZ) and dizygotic (DZ) twin pairs (MZ pairs = 77; DZ pairs = 88) were studied to assess the effect of dietary intake, physical activity, physical fitness, body mass index (BMI), sum of the triceps and subscapular skinfold measurements, alcohol and caffeine consumption, and smoking patterns on...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370050409

    authors: Slattery ML,Bishop DT,French TK,Hunt SC,Meikle AW,Williams RR

    更新日期:1988-01-01 00:00:00

  • Evaluation of genetic and environmental effects using GEE and APM methods.

    abstract::Two analytic methods were used in the Problem 2 data set. First, generalized estimating equations (GEE) modelling was developed to adjust for familial correlation in regressions evaluating candidate genes and an environmental factor. Second, the affected-pedigree-member (APM) method was used to identify chromosomal re...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370120633

    authors: Bull SB,Chapman NH,Greenwood CM,Darlington GA

    更新日期:1995-01-01 00:00:00

  • Progress toward resolving the possible linkage of multiple endocrine neoplasia type 2A to haptoglobin and group-specific loci: use of restriction fragment length polymorphisms extends exclusion region.

    abstract::In an earlier paper, positive but nonsignificant lod scores were found in pair-wise linkage tests between multiple endocrine neoplasia type 2A (MEN-2A) and both the haptoglobin (HP) locus on chromosome 16 and group-specific component (GC) locus on chromosome 4. Recently discovered restriction fragment length polymorph...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370030306

    authors: Kidd KK,Kidd JR,Castiglione CM,Pakstis AJ,Sparkes RS

    更新日期:1986-01-01 00:00:00

  • Propensity score-based nonparametric test revealing genetic variants underlying bipolar disorder.

    abstract::Association analysis has led to the identification of many genetic variants for complex diseases. While assessing the association between genes and a disease, other factors can play an important role. The consequence of not considering covariates (such as population stratification and environmental factors) is well-do...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.20558

    authors: Jiang Y,Zhang H

    更新日期:2011-02-01 00:00:00

  • Truncated tests for combining evidence of summary statistics.

    abstract::To date, thousands of genetic variants to be associated with numerous human traits and diseases have been identified by genome-wide association studies (GWASs). The GWASs focus on testing the association between single trait and genetic variants. However, the analysis of multiple traits and single nucleotide polymorph...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.22330

    authors: Bu D,Yang Q,Meng Z,Zhang S,Li Q

    更新日期:2020-10-01 00:00:00

  • Meta-analysis of linkage studies.

    abstract::Lander and Kruglyak [1995] gave guidelines for interpreting linkage results based on estimating how often a particular threshold for significance would be exceeded by chance in a single genome scan. What is unknown is how often two or more genome scans would exceed a particular threshold within the same region. We dev...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.1370170778

    authors: Badner JA,Goldin LR

    更新日期:1999-01-01 00:00:00

  • A new association test based on Chi-square partition for case-control GWA studies.

    abstract::In case-control genetic association studies, the robust procedure, Pearson's Chi-square test, is commonly used for testing association between disease status and genetic markers. However, this test does not take the possible trend of relative risks, which are due to genotype, into account. On the contrary, although Co...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章

    doi:10.1002/gepi.20615

    authors: Chen Z

    更新日期:2011-11-01 00:00:00