The impact of improved microarray coverage and larger sample sizes on future genome-wide association studies.

abstract：:It is generally accepted that cancer is caused by environmental and inherited factors but these are only partially identified. Family studies can be informative but they do not separate shared lifestyles and genes. We estimate familial risks for concordant cancers between spouses in common cancers of both sexes in ord...

journal_title：Genetic epidemiology

authors： Hemminki K,Dong C,Vaittinen P

更新日期：2001-02-01 00:00:00

abstract：:A major locus influencing apolipoprotein AI (apo AI) serum levels was detected using data from the Donner Laboratory Family Study. This locus accounts for 46% of the phenotypic variability in apo AI levels. Multivariate segregation analysis revealed that this major locus also has significant pleiotropic effects on the...

journal_title：Genetic epidemiology

authors： Blangero J,Williams-Blangero S,Mahaney MC

更新日期：1993-01-01 00:00:00

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

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

abstract：:Testing for association between two random vectors is a common and important task in many fields, however, existing tests, such as Escoufier's RV test, are suitable only for low-dimensional data, not for high-dimensional data. In moderate to high dimensions, it is necessary to consider sparse signals, which are often ...

journal_title：Genetic epidemiology

authors： Xu Z,Xu G,Pan W,Alzheimer's Disease Neuroimaging Initiative.

更新日期：2017-11-01 00:00:00

abstract：:Genetic association studies of obstetric complications may genotype case and control mothers, or their respective newborns, or both case-control mothers and their children. The relatively high prevalence of many obstetric complications and the availability of both maternal and offspring's genotype data have provided m...

journal_title：Genetic epidemiology

authors： Chen J,Zheng H,Wilson ML,Kraft P

更新日期：2009-09-01 00:00:00

abstract：:Several methods have been proposed to increase power in rare variant association testing by aggregating information from individual rare variants (MAF < 0.005). However, how to best combine rare variants across multiple ethnicities and the relative performance of designs using different ethnic sampling fractions remai...

journal_title：Genetic epidemiology

authors： Mensah-Ablorh A,Lindstrom S,Haiman CA,Henderson BE,Marchand LL,Lee S,Stram DO,Eliassen AH,Price A,Kraft P

更新日期：2016-01-01 00:00:00

abstract：:The importance of haplotype analysis in the context of association fine mapping of disease genes has grown steadily over the last years. Since experimental methods to determine haplotypes on a large scale are not available, phase has to be inferred statistically. For individual genotype data, several reconstruction te...

journal_title：Genetic epidemiology

authors： Becker T,Knapp M

更新日期：2004-07-01 00:00:00

abstract：:High-throughput sequencing technologies have enabled large-scale studies of the role of the human microbiome in health conditions and diseases. Microbial community level association test, as a critical step to establish the connection between overall microbiome composition and an outcome of interest, has now been rout...

journal_title：Genetic epidemiology

authors： Zhan X,Tong X,Zhao N,Maity A,Wu MC,Chen J

更新日期：2017-04-01 00:00:00

abstract：:The large number of tests performed in analyzing data from genome-wide association studies has a large impact on the power of detecting risk variants, and analytic strategies specifying the optimal set of hypotheses to be tested are necessary. We propose a genome-wide strategy that is based on one degree of freedom te...

journal_title：Genetic epidemiology

authors： Nicolae DL

更新日期：2006-12-01 00:00:00

abstract：:Genetic studies are continuing to generate volumes and variety of data that can be used to examine the genetic effects. Often the effect of a genetic variant varies by nongenetic measures, what is traditionally defined as gene-environment interaction (G×E). If the G×E term is neglected, estimates of the main effects c...

journal_title：Genetic epidemiology

authors： Lobach I

更新日期：2018-12-01 00:00:00

abstract：:The participants of Presentation Group 18 of Genetic Analysis Workshop 14 analyzed the Collaborative Study on the Genetics of Alcoholism data set to investigate sex-specific effects for phenotypes related to alcohol dependence. In particular, the participants looked at imprinting (which is also known as parent-of-orig...

journal_title：Genetic epidemiology

authors： Strauch K,Baur MP

更新日期：2005-01-01 00:00:00

abstract：:There has been a great interest and a few successes in the identification of complex disease susceptibility genes in recent years. Association studies, where a large number of single-nucleotide polymorphisms (SNPs) are typed in a sample of cases and controls to determine which genes are associated with a specific dise...

journal_title：Genetic epidemiology

authors： Bureau A,Dupuis J,Falls K,Lunetta KL,Hayward B,Keith TP,Van Eerdewegh P

更新日期：2005-02-01 00:00:00

abstract：:The mixed model of segregation analysis specifies major gene effects and partitions the residual variance into polygenic and environmental components. The model explains familial correlations essentially in terms of genetic causation. The regressive model, on the other hand, is constructed by successively conditioning...

journal_title：Genetic epidemiology

authors： Demenais FM,Bonney GE

更新日期：1989-01-01 00:00:00

abstract：:A range of study designs, using unrelated or family controls, were used to investigate the pattern of association with disease of single nucleotide polymorphisms (SNPs) within candidate gene 1 (simulated data). Strong evidence of disease association at the functional locus was detected using all study designs, and in ...

journal_title：Genetic epidemiology

authors： Saunders CL,Crockford GP,Bishop DT,Barrett JH

更新日期：2001-01-01 00:00:00

abstract：:In the analysis of gene expression data, dimension reduction techniques have been extensively adopted. The most popular one is perhaps the PCA (principal component analysis). To generate more reliable and more interpretable results, the SPCA (sparse PCA) technique has been developed. With the "small sample size, high ...

journal_title：Genetic epidemiology

authors： Liu M,Fan X,Fang K,Zhang Q,Ma S

更新日期：2017-12-01 00:00:00

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

authors： Hasstedt SJ,Wu L,Williams RR

更新日期：1987-01-01 00:00:00

abstract：:Multifactor dimensionality reduction (MDR) was developed as a nonparametric and model-free data mining method for detecting, characterizing, and interpreting epistasis in the absence of significant main effects in genetic and epidemiologic studies of complex traits such as disease susceptibility. The goal of MDR is to...

journal_title：Genetic epidemiology

authors： Pattin KA,White BC,Barney N,Gui J,Nelson HH,Kelsey KT,Andrew AS,Karagas MR,Moore JH

更新日期：2009-01-01 00:00:00

abstract：:In genetic association studies, a single marker is often associated with multiple, correlated phenotypes (e.g., obesity and cardiovascular disease, or nicotine dependence and lung cancer). A pervasive question is then whether that marker exerts independent effects on all phenotypes. In this paper, we address this ques...

journal_title：Genetic epidemiology

authors： Berzuini C,Vansteelandt S,Foco L,Pastorino R,Bernardinelli L

更新日期：2012-09-01 00:00:00

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

authors： Badner JA,Goldin LR

更新日期：1999-01-01 00:00:00

abstract：:Case-only studies are often used to identify interactions between a genetic factor and an environmental factor under the assumption both factors are independent in the population. However, interpreting a statistical association between the genetic and the environmental factors among the cases, as evidence of a mechani...

journal_title：Genetic epidemiology

authors： VanderWeele TJ,Hernández-Díaz S,Hernán MA

更新日期：2010-05-01 00:00:00

abstract：:Genetic epidemiology is a relatively new discipline that seeks to unravel the role of genetic factors and their interactions with environmental factors in the etiology of diseases, using population and family study approaches. To characterize the overall direction and emphasis of research strategies used in this field...

journal_title：Genetic epidemiology

authors： Khoury MJ,Beaty TH,Cohen BH

更新日期：1993-01-01 00:00:00

abstract：:We used variance-components analysis to investigate the additive genetic effects regulating some of the phenotypes included in the GAW11 data set. Variance-components models were fitted using Gibbs sampling methods in BUGS v 0.6. Linkage analyses for both multivariate normal (MvN) traits and right censored survival ti...

journal_title：Genetic epidemiology

authors： Palmer LJ,Tiller KJ,Burton PR

更新日期：1999-01-01 00:00:00

abstract：:Rheumatoid arthritis is an inflammatory disease for which positive associations have been described with some HLA-DRB1 alleles. The associated alleles share a similar amino acid sequence in the third hypervariable region, the shared epitope, but differ at position 71 and 86. It has been suggested that HLA susceptibili...

journal_title：Genetic epidemiology

authors： Tézenas du Montcel S,Reviron D,Genin E,Roudier J,Mercier P,Clerget-Darpoux F

更新日期：2000-12-01 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：:Site-specific familial aggregation and evidence supporting Mendelian codominant inheritance have been shown in lung cancer. In characterizing lung cancer families, a number of other cancers have been observed. The current study evaluates whether first-degree relatives of early onset lung cancer cases are at increased ...

journal_title：Genetic epidemiology

authors： Schwartz AG,Siegfried JM,Weiss L

更新日期：1999-11-01 00:00:00

abstract：:The univariate analysis of categorical twin data can be performed using either structural equation modeling (SEM) or logistic regression. This paper presents a comparison between these two methods using a simulation study. Dichotomous and ordinal (three category) twin data are simulated under two different sample size...

journal_title：Genetic epidemiology

authors： Ramakrishnan V,Meyer JM,Goldberg J,Henderson WG

更新日期：1996-01-01 00:00:00

abstract：:Orientals consisting of Japanese, Chinese, Koreans, and Filipinos are clearly at higher risk for cleft lip with or without cleft palate [CL(P)] than whites, Puerto Ricans, and Hawaiians/part-Hawaiians in Hawaii. Using the model of diallele cross, CL(P) incidences in incrosses and outcrosses involving 564,002 live birt...

journal_title：Genetic epidemiology

authors： Chung CS,Mi MP,Beechert AM

更新日期：1987-01-01 00:00:00

abstract：:We have analyzed allele frequency distribution at the hypervariable locus 3' to the apolipoprotein B gene in a healthy population sample (241 women and 246 men) from the Belgrade area. The bimodal distribution of sixteen different hypervariable region (HVR) alleles and the heterozygosity index (average 0.76) in both s...

journal_title：Genetic epidemiology

authors： Alavantić D,Glisić S,Kandić I

更新日期：1998-01-01 00:00:00

abstract：:Three characteristics of genetic epidemiology that distinguish it from its parent disciplines are a focus on population-based research, a focus on the joint effects of genes and the environment, and the incorporation of the underlying biology of the disease into its conceptual models. These principles are illustrated ...

journal_title：Genetic epidemiology

authors： Thomas DC

更新日期：2000-12-01 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