Linkage analysis of candidate obesity genes among the Mexican-American population of Starr County, Texas.

abstract：:Large-scale meta-analyses of genome-wide association scans (GWAS) have been successful in discovering common risk variants with modest and small effects. The detection of lower frequency signals will undoubtedly require concerted efforts of at least similar scale. We investigate the sample size-dictated power limits o...

journal_title：Genetic epidemiology

authors： Chapman K,Ferreira T,Morris A,Asimit J,Zeggini E

更新日期：2011-12-01 00:00:00

abstract：:The potential importance of the joint action of genes, whether modeled with or without a statistical interaction term, has long been recognized. However, identifying such action has been a great challenge, especially when millions of genetic markers are involved. We propose a likelihood ratio-based Mann-Whitney test t...

journal_title：Genetic epidemiology

authors： Lu Q,Wei C,Ye C,Li M,Elston RC

更新日期：2012-09-01 00:00:00

abstract：:To evaluate the risk of a disease associated with the joint effects of genetic susceptibility and environmental exposures, epidemiologic researchers often test for non-multiplicative gene-environment effects from case-control studies. In this article, we present a comparative study of four alternative tests for intera...

journal_title：Genetic epidemiology

authors： Mukherjee B,Ahn J,Gruber SB,Rennert G,Moreno V,Chatterjee N

更新日期：2008-11-01 00:00:00

abstract：:In diseases with a complex mode of inheritance, families with multiple affected individuals are difficult to ascertain. The haplotype sharing statistic (HSS) uses (hidden) co-ancestry between affected individuals from a founder population. These affected individuals will likely not only share the same mutation(s), but...

journal_title：Genetic epidemiology

authors： Van der Meulen MA,te Meerman GJ

更新日期：1997-01-01 00:00:00

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

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

更新日期：2020-10-01 00:00:00

abstract：:This paper summarizes the analyses by participants in the insulin-dependent diabetes mellitus (IDDM) component of Genetic Analysis Workshop 5 (GAW5). The data were obtained from 94 families with two or more IDDM sibs. Topics treated in the Workshop analysis included the following: methods for detecting associations an...

journal_title：Genetic epidemiology

authors： Spielman RS,Baur MP,Clerget-Darpoux F

更新日期：1989-01-01 00:00:00

abstract：:Identifying gene-environment (G-E) interactions can contribute to a better understanding of disease etiology, which may help researchers develop disease prevention strategies and interventions. One big criticism of studying G-E interaction is the lack of power due to sample size. Studies often restrict the interaction...

journal_title：Genetic epidemiology

authors： Coombes B,Basu S,McGue M

更新日期：2017-07-01 00:00:00

abstract：:Genome-wide association studies (GWAS) have identified many single nucleotide polymorphisms (SNPs) associated with complex traits. However, the genetic heritability of most of these traits remains unexplained. To help guide future studies, we address the crucial question of whether future GWAS can detect new SNP assoc...

journal_title：Genetic epidemiology

authors： Lindquist KJ,Jorgenson E,Hoffmann TJ,Witte JS

更新日期：2013-05-01 00:00:00

abstract：:For most complex diseases, the fraction of heritability that can be explained by the variants discovered from genome-wide association studies is minor. Although the so-called "rare variants" (minor allele frequency [MAF] < 1%) have attracted increasing attention, they are unlikely to account for much of the "missing h...

journal_title：Genetic epidemiology

authors： Lin WY,Yi N,Lou XY,Zhi D,Zhang K,Gao G,Tiwari HK,Liu N

更新日期：2013-09-01 00:00:00

abstract：:Complex segregation analysis and linkage methods are mathematical techniques for the genetic dissection of complex diseases. They are used to delineate complex modes of familial transmission and to localize putative disease susceptibility loci to specific chromosomal locations. The computational problem of Bayesian li...

journal_title：Genetic epidemiology

authors： Matthysse S

更新日期：2000-01-01 00:00:00

abstract：:A family cancer database was constructed from the nationwide Swedish registries and includes approximately 6 million persons and >30,000 cancers in offspring diagnosed at ages 15-51 years and their parents. A particular advantage of the database is that the contribution of both parental lineages on cancer risk can be ...

journal_title：Genetic epidemiology

authors： Hemminki K,Vaittinen P

更新日期：1998-01-01 00:00:00

abstract：:The heritability of most complex traits is driven by variants throughout the genome. Consequently, polygenic risk scores, which combine information on multiple variants genome-wide, have demonstrated improved accuracy in genetic risk prediction. We present a new two-step approach to constructing genome-wide polygenic ...

journal_title：Genetic epidemiology

authors： Newcombe PJ,Nelson CP,Samani NJ,Dudbridge F

更新日期：2019-10-01 00:00:00

abstract：:Mantel statistics provide an additional step to standard approaches in the analysis of gene expression and covariate data, allow the calculation of standard statistics such as correlation, partial correlation, and regression coefficients, and, with permutation tests, provide P values for these statistics to relate the...

journal_title：Genetic epidemiology

authors： Shannon WD,Watson MA,Perry A,Rich K

更新日期：2002-06-01 00:00:00

abstract：:Apolipoprotein A-IV (APO A-IV) is a major protein component of mesenteric lymph chylomicrons and very-low-density lipoproteins. It is found in plasma predominantly unassociated with major lipoprotein fractions and in high density lipoproteins. APO A-IV exhibits structural heterogeneity owing to two codominant alleles,...

journal_title：Genetic epidemiology

authors： Eichner JE,Kuller LH,Ferrell RE,Kamboh MI

更新日期：1989-01-01 00:00:00

abstract：:When many correlated traits are measured the potential exists to discover the coordinated control of these traits via genotyped polymorphisms. A common statistical approach to this problem involves assessing the relationship between each phenotype and each single nucleotide polymorphism (SNP) individually (PHN); and t...

journal_title：Genetic epidemiology

authors： Klei L,Luca D,Devlin B,Roeder K

更新日期：2008-01-01 00:00:00

abstract：:The asymptotic distribution of [MOD] scores under the null hypothesis of no linkage is only known for affected sib pairs and other types of affected relative pairs. We have extended the GENEHUNTER-MODSCORE program to allow for simulations under the null hypothesis of no linkage to determine the empirical significance ...

journal_title：Genetic epidemiology

authors： Mattheisen M,Dietter J,Knapp M,Baur MP,Strauch K

更新日期：2008-01-01 00:00:00

abstract：:Construction of multifactorial disease models from epidemiological findings and their application to disease pedigrees for risk prediction is nontrivial for all but the simplest of cases. Multifactorial Disease Risk Calculator is a web tool facilitating this. It provides a user-friendly interface, extending a reported...

journal_title：Genetic epidemiology

authors： Campbell DD,Li Y,Sham PC

更新日期：2018-03-01 00:00:00

abstract：:GAW10 Problem 2 involves a simulated common disease defined by imposing a threshold, T, on a quantitative trait, Q1. Every individual with a value of Q1 > or = T (where T = 40) is defined as affected. Also thought to be associated with the disease as intervening variables are four other quantitative traits (Q2, Q3, Q4...

journal_title：Genetic epidemiology

authors： MacCluer JW,Blangero J,Dyer TD,Speer MC

更新日期：1997-01-01 00:00:00

abstract：:In this paper we investigate the power to identify gene x gene interactions in genome-wide association studies. In our analysis we focus on two-stage analyses: analyses in which we only test for interactions between single nucleotide polymorphisms that show some marginal effect. We give two algorithms to compute signi...

journal_title：Genetic epidemiology

authors： Kooperberg C,Leblanc M

更新日期：2008-04-01 00:00:00

abstract：:Inaccurate genetic (or linkage) maps can reduce the power to detect linkage, increase type I error, and distort haplotype and relationship inference. To improve the accuracy of existing maps, I propose a meta-analysis-based method that combines independent map estimates into a single estimate of the linkage map. The m...

journal_title：Genetic epidemiology

authors： Stewart WC

更新日期：2007-07-01 00:00:00

abstract：:Path analysis of nuclear family data has been widely applied to resolve genetic and environmental sources of familial resemblance. Here we report the results of a systematic evaluation of the effects of departures from five modeling assumptions often made when analyzing nuclear family data; i) the observed environment...

journal_title：Genetic epidemiology

authors： McGue M,Wette R,Rao DC

更新日期：1989-01-01 00:00:00

abstract：:We describe an extension to the TDT (transmission/disequilibrium test) which allows for more than two marker alleles and for covariates measured on the parent or offspring. We also describe a systematic genomic search where the mod score (maximized lod score) is computed for each marker under constraints on the popula...

journal_title：Genetic epidemiology

authors： Rice JP,Neuman RJ,Hoshaw SL,Daw EW,Gu C

更新日期：1995-01-01 00:00:00

abstract：:The role of a gene in a disease may be hidden by the presence of another risk factor such as an environmental factor. In that case, stratifying the data according to this factor strengthens power to detect linkage or association. We followed this strategy on the simulated data provided by GAW11. The transmission/diseq...

journal_title：Genetic epidemiology

authors： Eichenbaum-Voline S,Baur MP,Knapp M

更新日期：1999-01-01 00:00:00

abstract：:Penalized regression methods offer an attractive alternative to single marker testing in genetic association analysis. Penalized regression methods shrink down to zero the coefficient of markers that have little apparent effect on the trait of interest, resulting in a parsimonious subset of what we hope are true perti...

journal_title：Genetic epidemiology

authors： Ayers KL,Cordell HJ

更新日期：2010-12-01 00:00:00

abstract：:Smoking has been observed to affect plasma sex hormones and body mass index. The relationship between smoking, body mass index, and plasma concentration of sex hormones was studied in normal adult male twins. The analyses were performed for between 150 and 159 twin pairs for whom hormonal data were available on both t...

journal_title：Genetic epidemiology

authors： Meikle AW,Bishop DT,Stringham JD,Ford MH,West DW

更新日期：1989-01-01 00:00:00

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

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

更新日期：1988-01-01 00:00:00

abstract：:The linkage between electronic health records (EHRs) and genotype data makes it plausible to study the genetic susceptibility of a wide range of disease phenotypes. Despite that EHR-derived phenotype data are subjected to misclassification, it has been shown useful for discovering susceptible genes, particularly in th...

journal_title：Genetic epidemiology

authors： Wang L,Damrauer SM,Zhang H,Zhang AX,Xiao R,Moore JH,Chen J

更新日期：2017-12-01 00:00:00

abstract：:Asthma and atopy are two closely related, common complex traits in which a number of genetic and environmental factors are suspected to play a role. We have performed parametric and nonparametric multi-marker linkage analysis for the Busselton data set, which is part of problem 1 of Genetic Analysis Workshop 12. In pa...

journal_title：Genetic epidemiology

authors： Strauch K,Bogdanow M,Fimmers R,Baur MP,Wienker TF

更新日期：2001-01-01 00:00:00

abstract：:We have used the unblinded MG1/Q1 Genetic Analysis Workshop 12 simulated data as a model system for investigating the use of linkage disequilibrium structure and simple genotype-phenotype associations to identify candidate functional mutations within a gene of interest. Analysis of the pattern of pairwise linkage dise...

journal_title：Genetic epidemiology

authors： Huang Q,Morrison AC,Boerwinkle E

更新日期：2001-01-01 00:00:00

abstract：:Human apolipoprotein A-IV (APO A-IV) exhibits a common protein polymorphism detectable by isoelectric focusing (IEF) due to a single base substitution at codon 360 which replaces the frequently occurring glutamine residue (allele 1) with histidine (allele 2). Recently, sequence analysis of the APO A-IV coding region h...

journal_title：Genetic epidemiology

authors： Kamboh MI,Hamman RF,Ferrell RE

更新日期：1992-01-01 00:00:00