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Biomedical subjects

L Tiret

Publications and source records attributed to L Tiret.

At least 19 recordsLinked to original sources
PubMed2007

Prognostic value of plasma tissue factor and tissue factor pathway inhibitor for cardiovascular death in patients with coronary artery disease: the AtheroGene study.

BACKGROUND: Tissue factor (TF) and its specific inhibitor, tissue factor pathway inhibitor (TFPI), are important contributors to the initiation of the coagulation process. OBJECTIVES: To compare plasma levels of soluble TF (sTF) and free-TFPI (f-TFPI) between patients with stable angina pectoris (SAP) and acute coronary syndrome (ACS) and to assess the impact of the two variables on long-term prognosis. PATIENTS/METHODS: Patients with SAPs (n = 1146) and acute coronary syndrome (n = 523) from the AtheroGene study were included and followed for 2.3 years. Because of the strong impact of unfractionated heparin (UFH) on f-TFPI levels, but not on sTF levels, patients having received UFH before blood drawing were excluded from the analyses on f-TFPI (n = 226). RESULTS: On admission, no significant differences in sTF levels were observed between SAP and ACS patients. By comparison to patients with stable angina, f-TFPI levels significantly increased in patients with acute unstable angina and further increased in patients presenting with non-ST-elevation myocardial infarction and ST-elevation myocardial infarction (P < 10(-4)). Among the 1669 individuals with a coronary artery disease, 56 died from a cardiovascular cause. In prospective analyses, high sTF levels were independently associated with an increased risk of cardiovascular death in individuals with ACS (fully adjusted hazard ratio associated with one quartile increase = 2.06; 95% confidence interval 1.24-3.45; P = 0.006) but not in those with SAP (hazard ratio = 1.07; 95% confidence interval 0.78-1.46; P = 0.67). In SAP and ACS patients, high f-TFPI levels were not independently associated with an increased risk of cardiovascular death. CONCLUSIONS: Plasma sTF levels were predictive of cardiovascular mortality in individuals with ACS, whereas f-TFPI levels were associated with the severity of myocardial damage on admission but were not independently related to outcome.

Aged↗
PubMed2006

Haemostatic factors and the risk of cardiovascular death in patients with coronary artery disease: the AtheroGene study.

OBJECTIVE: To get a better insight into the role of hemostasis in coronary artery disease (CAD), we assessed the impact of von Willebrand factor (vWF), fibrinogen, thrombin-antithrombin (TAT) complexes, D-dimers, and plasmin-antiplasmin (PAP) complexes on the risk of cardiovascular event in a prospective cohort of CAD patients. METHODS AND RESULTS: The prospective Atherogene cohort includes 1057 individuals with an angiographically proven coronary artery disease at baseline. After a median follow-up of 6.6 years, 135 individuals died from a cardiovascular cause and 97 had a nonfatal cardiovascular event. Higher levels of all 5 hemostatic markers at baseline were associated with an increased risk of cardiovascular death, but not of nonfatal event. Except for vWF, these associations remained significant after adjustment for conventional cardiovascular risk factors and C-reactive protein (CRP) levels (P for trend according to increasing tertiles=0.20, 0.011, 0.026, 0.019, and 0.01 for vWF, fibrinogen, TAT, D-Dimer, and PAP, respectively). When including the 5 hemostatic markers in a stepwise Cox regression analysis where conventional risk factors and CRP were forced into the model, fibrinogen and D-dimers remained independently associated with the risk of cardiovascular death. Adjusted hazard ratios (95% CI) associated with one SD increase of fibrinogen and D-dimers were 1.27 (1.04 to 1.55) and 1.29 (1.09 to 1.53), respectively. CONCLUSIONS: In patients with coronary artery disease, fibrinogen and D-dimer levels are independent predictors of subsequent cardiovascular death. Our data support a role of impaired coagulation/fibrinolysis process in the complications of coronary artery disease.

Aged↗
PubMed2005

Biological and genetic factors influencing plasma factor VIII levels in a healthy family population: results from the Stanislas cohort.

The mechanisms underlying the variability of factor VIII (FVIII) levels are still poorly understood. The only receptor of FVIII identified so far is the lipoprotein receptor-related protein (LRP), which is thought to be involved in FVIII degradation. We aimed to characterize biological and genetic factors related to FVIII variability, focusing on coding polymorphisms of the LRP gene and polymorphisms potentially detected by molecular screening of the LRP-binding domains of the FVIII gene. Plasma FVIII coagulant activity (FVIII:C) and von Willebrand factor (VWF:Ag) antigen levels were measured in a sample of 100 healthy nuclear families (200 parents and 224 offspring). The ABO blood group and the three coding polymorphisms of the LRP gene (A217V, D2080N and C766T) were genotyped. Lipids and anthropometric factors poorly contributed to the variability of FVIII:C (<5%). A strong effect of ABO blood groups on FVIII:C levels was observed that remained significant after adjustment for VWF:Ag levels (P = 0.02). These two factors explained more than 50% of FVIII:C variability. After adjustment for VWF:Ag and ABO blood groups, a residual resemblance for FVIII:C persisted between biological relatives (rho = 0.13 +/- 0.06 between parents and offspring, rho = 0.24 +/- 0.09 between siblings) compatible with an additional genetic influence. The N allele of the LRP/D2080N polymorphism was associated with decreased levels of FVIII:C (90.4 +/- 8.7 vs. 102.2 +/- 3.5 IU/dl, P = 0.03) and VWF:Ag levels (109.1 +/- 11.2 vs. 125.4 +/- 4.4 IU/dl, P = 0.02). No polymorphism was detected in the LRP-binding domains of the FVIII gene. This study reinforces the hypothesis of a genetic influence of FVIII levels beyond the influence of VWF:Ag and ABO blood groups. The D2080N polymorphism of the LRP gene weakly contributed to the variability of FVIII:C levels in this healthy population.

ABO Blood-Group System↗
PubMed2005

TAFI gene haplotypes, TAFI plasma levels and future risk of coronary heart disease: the PRIME Study.

OBJECTIVES: To evaluate the association of thrombin-activatable fibrinolysis inhibitor (TAFI) gene polymorphisms with the risk of coronary heart disease (CHD) and with TAFI levels measured by a newly developed enzyme-linked immunosorbent assay (ELISA) (TAFI-1B1), shown to be a reliable method for detecting quantitative variations in circulating TAFI. PATIENTS/METHODS: Six polymorphisms (C-2599G, G-438A, Ala147Thr, Thr325Ile, C + 1542G and T + 1583A) were genotyped and baseline plasma concentrations of TAFI were measured in a nested case-control design as part of the Prospective Epidemiological Study of Myocardial Infarction (PRIME) Study. Participants from France and Northern Ireland who had developed a CHD event during a 5-year follow-up (n = 321) were compared with 645 population- and age-matched control subjects. RESULTS: In France, the Thr147 allele was more frequent in cases than in controls (0.41 vs. 0.32; P = 0.02), whereas the reverse was observed in Northern Ireland (0.33 vs. 0.38; P = 0.19) (P = 0.01 for interaction). No other polymorphism was associated with CHD risk. Consistent with the results derived from the single-locus analysis, haplotype analysis revealed that the haplotype carrying the Thr147 allele was associated with increased risk of CHD in France while the reverse tended to hold in the Northern Ireland population. Single-locus and haplotype analyses revealed that two polymorphisms, C-2599G and Ala147Thr (or T + 1583A that is in nearly complete association with it), had additive effects on TAFI levels and explained >18% of TAFI variability. This effect was homogeneous in France and Northern Ireland, and in cases and controls who exhibited similar TAFI levels. CONCLUSIONS: Thrombin-activatable fibrinolysis inhibitor gene polymorphisms are strongly associated to plasma TAFI levels, but the relation to CHD risk is less clear.

Alleles↗
PubMed2004

[Genetic variation of the cholesterol ester transfer protein gene and the prevalence of coronary artery disease. The AtheroGene case control study].

BACKGROUND: Various functional polymorphisms of the cholesteryl ester transfer protein ( CETP) gene influence CETP activity and the concentration of high-density lipoprotein (HDL) cholesterol. Beside other functional variants mainly the promoter polymorphism CETP/C-629A is currently discussed as a risk factor of coronary artery disease (CAD). We evaluated in a large case-control study the impact of various CETP genotypes and haplotypes on HDL concentration and the prevalence of CAD. METHODS AND RESULTS: In 1214 patients with documented CAD as well as 754 population controls we determined the CETP/C-629A, TaqIB, I405V, R451Q, and A373P polymorphisms. All genotypes have an impact on the HDL concentration; univariate genotype and haplotype analyses demonstrate a significant effect of A-allel carriers on the elevation of HDL concentration. In addition, among all genotypes determined, the C-629A polymorphism is associated with the prevalence of CAD in a codominant fashion. Homozygous A-allel carriers reveal a relative risk of 0.6 (95% CI 0.44-0.82; P = 0.005) compared to the wild type. Adjustment for classical risk factors did not alter this association significantly, whereas after controlling for HDL concentration no independent significance between CETP/C-629A genotype and prevalence of CAD was observed anymore. CONCLUSION: CETP genotypes have an significant but moderate impact on systemic HDL-cholesterol concentration. The A-allel of the CETP/C-629A polymorphism is associated with a reduced CAD risk. This risk reduction is probably mediated by elevated HDL-concentration. Whether genotyping of the CETP/C-629A polymorphism provides information over and above that obtained by HDL-cholesterol measurement has to be further investigated in various prospective studies.

Carrier Proteins↗
PubMed2004

Cox proportional hazards survival regression in haplotype-based association analysis using the Stochastic-EM algorithm.

It is now widely recognized that haplotype information inferred from genotypes can be of great interest to better characterize the role of a candidate gene in the etiology of a complex trait in the context of association studies. Several works have recently advocated the simultaneous estimation of haplotype frequencies and haplotype effects in order to get a better efficiency in parameter estimation. Most of the available models can deal with a binary or a quantitative phenotype, but none has yet discussed the application of haplotype-based association analysis to a survival outcome. We describe how the recently proposed Stochastic-EM (SEM) algorithm can be applied to estimate haplotype effects in censored data analysis using a standard Cox proportional hazards formulation. This model has been implemented in the THESIAS software freely available at http://www.genecanvas.org.

Algorithms↗
PubMed2004

TLR4/Asp299Gly, CD14/C-260T, plasma levels of the soluble receptor CD14 and the risk of coronary heart disease: The PRIME Study.

TLR4 and CD14 are two components of the LPS receptor complex, which are considered to play a key role in the pathogenesis of atherosclerosis. TLR4/Asp299Gly and CD14/C-260T polymorphisms are thought to modulate the activity of this complex. The aim of the study was to examine the association between the TLR4/Asp299Gly and CD14/C-260T polymorphisms, plasma levels of the soluble receptor CD14 (sCD14), and the incidence of coronary heart disease (CHD) in a prospective cohort (the PRIME Study) of 9758 healthy men aged 50-59 years recruited in France and Northern Ireland. A nested case-control design was used, comparing the 249 participants who developed a CHD event during the 5-year follow-up with 492 population- and age-matched control subjects. The two polymorphisms were genotyped and baseline plasma concentrations of sCD14 were measured. None of the two polymorphisms, or sCD14 levels, either considered alone or in combination, were associated with the risk of CHD. The CD14/C-260T allele was associated with increased plasma concentrations of soluble thrombomodulin and vascular cell adhesion molecule-1 and, to a lesser extent, sCD14. No relationship was observed between the TLR4 polymorphism and, any of the inflammatory and endothelial markers measured. The TLR4/Asp299Gly and CD14/C-260T polymorphisms and plasma sCD14 concentrations do not appear as significant predictors of the risk of CHD in healthy individuals.

Amino Acid Substitution↗
PubMed2004

A new algorithm for haplotype-based association analysis: the Stochastic-EM algorithm.

It is now widely accepted that haplotypic information can be of great interest for investigating the role of a candidate gene in the etiology of complex diseases. In the absence of family data, haplotypes cannot be deduced from genotypes, except for individuals who are homozygous at all loci or heterozygous at only one site. Statistical methodologies are therefore required for inferring haplotypes from genotypic data and testing their association with a phenotype of interest. Two maximum likelihood algorithms are often used in the context of haplotype-based association studies, the Newton-Raphson (NR) and the Expectation-Maximisation (EM) algorithms. In order to circumvent the limitations of both algorithms, including convergence to local minima and saddle points, we here described how a stochastic version of the EM algorithm, referred to as SEM, could be used for testing haplotype-phenotype association. Statistical properties of the SEM algorithm were investigated through a simulation study for a large range of practical situations, including small/large samples and rare/frequent haplotypes, and results were compared to those obtained by use of the standard NR algorithm. Our simulation study indicated that the SEM algorithm provides results similar to those of the NR algorithm, making the SEM algorithm of great interest for haplotype-based association analysis, especially when the number of polymorphisms is quite large.

Algorithms↗
PubMed2004

Exploration of multilocus effects in a highly polymorphic gene, the apolipoprotein (APOB) gene, in relation to plasma apoB levels.

A detailed exploration of all the polymorphisms in candidate genes is required to better characterize the relationship between gene variability and complex traits. We propose a novel strategy for investigating the association between a highly polymorphic gene and a phenotype, by combining a multilocus genotype analysis and an haplotype analysis. For the multilocus genotype analysis, a data mining tool--termed DICE (Detection of Informative Combined Effects)--was developed to identify the best subset of polymorphisms that are associated--individually or in combination--with the phenotype. For the haplotype analysis, we used our recently developed method of haplotype-phenotype association to determine the most informative and parsimonious haplotype model fitting the data. We illustrate this strategy by investigating the association between twelve polymorphisms of the APOB gene and plasma apoB levels in 1442 European subjects. After exploring all main effects and interactions between polymorphisms, DICE identified the N4311S polymorphism as the most informative polymorphism in relation to apoB levels. Haplotype analysis led to the same conclusion. Additionally, DICE identified the E4154K (EcoRI) and the T2488T (XbaI) polymorphisms as potentially interesting. This selection was not modified by inclusion of the common APOE polymorphism in the analysis.

Adult↗
PubMed2003

SELPLG gene polymorphisms in relation to plasma SELPLG levels and coronary artery disease.

P-selectin and P-selectin glycoprotein ligand (SELPLG, selectin P ligand) constitute a receptor/ligand complex that is likely to be involved in the development of atherosclerosis and its complications. While the genetic variability of P-selectin has already been investigated in depth, that of the SELPLG gene has not yet been extensively explored. The coding and regulatory sequences of the SELPLG were screened and nine polymorphisms were identified. The identified polymorphisms were genotyped in the AtheroGene study, a case-control study of coronary artery disease (CAD). Haplotype analysis revealed that two polymorphisms of SELPLG, the M62I and the VNTR, independently influenced plasma SELPLG levels. Conversely, haplotypes of SELPLG were not associated with CAD risk.

Adult↗
PubMed2002

The TNF alpha/G-308A polymorphism influences insulin sensitivity in offspring of patients with coronary heart disease: the European Atherosclerosis Research Study II.

There is accumulating evidence for a role of tumor necrosis factor-alpha (TNF-alpha) in insulin resistance induced by obesity. The purpose of this study was to investigate whether the TNF alpha/G-308A polymorphism was associated with responses to oral glucose and fat tolerance tests in a case--control study comparing male offspring with a paternal history of premature myocardial infarction (cases, n=335) to age-matched controls (n=340) recruited from 14 European university populations. Genotype frequencies did not significantly differ between cases and controls. Among cases, those carrying the A allele exhibited a higher area under the curve for insulin (64.5 vs 55.9 mU h/l, P=0.009), a higher increment between baseline concentration and peak of insulin (63.1 vs 52.8 mU/l, P=0.005) and a greater decrease between peak and insulin at 120 min (49.1 vs 36.8 mU/l, P=0.003) than those with the GG genotype. No such effect was observed in control subjects. No association was observed with response to a fat tolerance test either in cases or in controls. The present results suggest that the TNF alpha/G-308A polymorphism might interact with other susceptibility factors to coronary heart disease to predispose to insulin resistance, and that the ability of TNF-alpha to induce insulin resistance may extend beyond obesity.

Adolescent↗
PubMed2002

Association of the hormone sensitive lipase -60C > G variant with fasting insulin levels in healthy young men.

BACKGROUND AND AIM: Hormone sensitive lipase (HSL) is the rate-limiting enzyme in triglyceride intracellular lipolysis, generating free fatty acids for energy utilisation. HSL is also expressed in pancreatic beta-cells where its activity may affect insulin secretion. We previously identified an HSL promoter variant, -60C > G, which in vitro exhibits 40% reduced promoter activity. METHODS AND RESULTS: In this study we examined the association of the HSL -60C > G on fasting lipid, insulin and glucose levels and the response to an oral fat tolerance test and an oral glucose tolerance test in 744 healthy young men participating in the second European Atherosclerosis Study. There was no case control difference in frequency of the rare -60G allele, however there was a North-to-South gradient in the frequency of the -60G allele, ranging from 0.037 (95% CI 0.01-0.07) in the Baltic regions to 0.087 (95% CI 0.05-0.12) in the South of Europe. When the group was analysed as a whole, there was no significant difference in fasting lipid or glucose values, body mass index, waist/hip ratio or blood pressure and no significant heterogeneity between cases and controls. There was, however, a significant association with fasting insulin measures [-60CC (n = 608) 11.95 mU/L vs -60 CG + GG (n = 79) 10.62 mU/L p = 0.01] and with the homeostasis model assessment of insulin resistance (HOMA-IR) (p = 0.04) and the homeostatic assessment of beta-cells function (HOMA-B); (p = 0.008). CONCLUSION: Even in these healthy young men, HSL-60 C > G allele was associated with effects on fasting insulin measures, and differences in insulin resistance and beta-cells function.

Adolescent↗
PubMed2001

Circulating cell adhesion molecules and death in patients with coronary artery disease.

BACKGROUND: Vascular cell adhesion molecule (VCAM)-1, intercellular adhesion molecule (ICAM)-1, and E-selectin mediate adhesion and transmigration of leukocytes to the vascular endothelial wall and may promote plaque growth and instability. In a prospective study, we evaluated the effect of soluble adhesion molecules on the risk of future cardiovascular events among patients with angiographically documented coronary artery disease (CAD). Methods and Results- -We obtained baseline samples from a prospective cohort of 1246 patients with CAD. Besides various markers of inflammation, soluble VCAM-1 (sVCAM-1), sICAM-1, and sE-selectin were determined. Follow-up information on cardiovascular events was obtained (mean, 2.7; maximum, 4.1 years). Independently higher levels of sVCAM-1 (1932 versus 1128 ng/mL; P<0.0001), sICAM-1 (353 versus 287 ng/mL; P=0.015), and sE-selectin (81 versus 63 ng/mL; P=0.003) were observed in patients with future death from cardiovascular causes. In a multivariate model, fatal risk was 2.1-fold (1.1 to 4.0) higher in patients within the top quartile of baseline sVCAM-1 concentrations compared with lower quartiles. This association was present independent of general inflammatory response as reflected by low or high C-reactive protein (hs-CRP) levels. In a model that simultaneously controlled for all inflammatory and soluble adhesion markers determined, only sVCAM-1 remained independently significant for future fatal cardiovascular events, with a 2.8-fold increase in risk (P=0.003). CONCLUSIONS: Soluble adhesion molecules sVCAM-1, sICAM-1, and sE-selectin were significantly related to future death from cardiovascular causes among patients with documented CAD. Especially sVCAM-1 added to the predictive value of classic risk factors and hs-CRP in determining the risk of future cardiovascular death.

Aged↗
PubMed2001

Identification of polymorphisms in the promoter and the 3' region of the TAFI gene: evidence that plasma TAFI antigen levels are strongly genetically controlled.

Thrombin-activable fibrinolysis inhibitor (TAFI) is a recently described carboxypeptidase that is potentially involved in the regulation of fibrinolysis by decreasing plasminogen binding to the fibrin surface. This role makes the TAFI gene a good candidate in atherothrombotic diseases. The great interindividual variability of plasma TAFI antigen levels is poorly explained by lifestyle characteristics, thus suggesting its genetic determination. To test this hypothesis, the promoter and the 3'-untranslated region of the TAFI gene were screened for polymorphisms, and their contribution to the variability of plasma TAFI antigen levels was evaluated. Seven new polymorphisms are described, 5 in the promoter (C-2599G, -2345 2G/1G, A-1690G, G-1102T, and G-438A) and 2 in the 3'UTR (C+1542G and T+1583A). All these polymorphisms were in strong linkage disequilibrium with each other and with the previously described Ala147Thr polymorphism. They generated 4 main haplotypes, accounting for 80% of all observed haplotypes. In univariate analyses, all polymorphisms were associated with plasma TAFI Ag levels and, individually, contributed to a large fraction of plasma TAFI Ag levels, ranging from 20% to 52%. In a stepwise regression analysis including all polymorphisms, several combinations remained significantly and independently associated with plasma TAFI Ag levels: C+1542G associated with Ala147Thr, T+1583A, or -2345 2G/1G explaining 61.6%, 60.2%, and 58.1% of the variance, respectively. These findings clearly demonstrate that circulating levels of TAFI are strongly determined by polymorphic variations in the promoter and the 3'UTR of the TAFI gene. (Blood. 2001;97:2053-2058)

3' Untranslated Regions↗
PubMed2001

Interleukin-6 gene polymorphisms and susceptibility to myocardial infarction: the ECTIM study. Etude Cas-Témoin de l'Infarctus du Myocarde.

There is growing evidence that interleukin (IL) 6 plays an important role in the atherosclerotic process because of its role in mediating immune and inflammatory responses and inducing cell proliferation. The present study examined whether molecular variations at the IL-6 locus are involved in the predisposition to myocardial infarction. The entire coding region, 1,158 bp of the 5' flanking region and 237 bp of the 3' flanking region of the IL-6 gene were screened. We detected three nucleotide substitutions in the 5' region at positions -174 (G/C), -572 (G/C), and -596 (G/A) from the transcription start site, and one insertion/deletion in the 3' region at position +528 after the Stop codon. These polymorphisms were genotyped in the Etude Cas-Témoin de l'Infarctus du Myocarde study comparing male patients (n=640) and age-matched controls (n=719) from Northern Ireland and France. The IL-6/G-174C and IL-6/G-596A polymorphisms were in nearly complete association. Carriers of the IL-6/-174 C allele were more frequent in patients than in controls. The population-adjusted odds ratio for myocardial infarction associated with genotype CC+CG vs. GG was estimated as 1.34. In French patients the number of coronary arteries with greater than 50% stenosis was assessed by angiography. The IL-6/-174 C allele was more frequent in patients with two or fewer stenosed vessels than in patients with three-vessel lesions. These results suggest that genetic variation at the IL-6 locus is associated with susceptibility to myocardial infarction, especially events occurring on less extended lesions. These findings would be compatible with a lower IL-6 secretion associated with the IL-6/-174 C allele, itself or in combination with other promoter polymorphisms, leading to more unstable plaques.

Adult↗
PubMed2001

Combined segregation-linkage analysis of plasma thrombin activatable fibrinolysis inhibitor (TAFI) antigen levels with TAFI gene polymorphisms.

By decreasing plasminogen binding to fibrin surface, the thrombin activatable fibrinolysis inhibitor (TAFI) has been hypothesized to constitute an early marker for atherothrombotic diseases. Previous studies have shown that plasma TAFI levels exhibit a high interindividual variability that is only poorly explained by lifestyle factors. Several polymorphisms of the TAFI gene have been described, and a combination of a C+1542G substitution in the 3' untranslated region and an Ala147Thr amino acid change has been shown to explain 60% of TAFI variability in a sample of unrelated individuals. A segregation-linkage analysis was performed to determine whether these polymorphisms are directly involved in the genetic regulation of TAFI levels, or whether they are only markers in linkage disequilibrium (LD) with unmeasured TAFI-linked quantitative trait loci (QTLs). The sample consisted of 97 healthy nuclear families from the Stanislas Cohort. The C+1542G and Ala147Thr polymorphisms were in complete negative LD, with minor allele frequencies of 0.27 and 0.28, respectively. Results of the segregation-linkage analysis provided evidence of two TAFI-linked QTLs in LD with the two measured polymorphisms, which would explain 78% of the TAFI variance, as compared with 55% explained by the C+1542G and the Ala147Thr polymorphisms combined. The two putative QTLs would have minor allele frequencies of 0.45 and 0.32, respectively. The hypothesis that one of the measured polymorphisms is one of the QTLs was rejected. The putative QTLs also did not seem compatible with the other TAFI gene polymorphisms that we have previously described. More extensive sequencing of the TAFI gene is necessary to identify the functional variants.

Adolescent↗
PubMed2001

Sample size calculations for classical association and TDT-type methods using family data.

Transmission Disequilibrium Test (TDT)-based methods have been advocated by several authors for testing that a marker-phenotype association is actually due to linkage and not to uncontrolled stratification. As a pre-requisite of TDT-type methods is the presence of an association between marker and phenotype, one may wish to first investigate the association using a classical association study, and then to check by a TDT approach whether this association is actually due to linkage. We propose an estimating equation (EE) procedure, to compute analytically the minimum sample size of sibship data required to detect the association between a marker and a quantitative phenotype, and that required to confirm it by two TDT methods. We show that, when the marker allele frequency is low or high, the number of informative sibs needed in TDT-type methods can be lower than the number required in an association analysis, and even more so when the familial clustering is strong. However, in all cases, the number of sibs that need to be sampled to get the appropriate number of informative sibs for analysis is always larger for TDT methods than for an association study. In a phenotype-first strategy, this number may be critical when investigating costly phenotypes.

Alleles↗