Increasing the power of identifying gene x gene interactions in genome-wide association 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

authors： Badner JA,Goldin LR

更新日期：1999-01-01 00:00:00

abstract：:The etiology of complex traits likely involves the effects of genetic and environmental factors, along with complicated interaction effects between them. Consequently, there has been interest in applying genetic association tests of complex traits that account for potential modification of the genetic effect in the pr...

journal_title：Genetic epidemiology

authors： Broadaway KA,Duncan R,Conneely KN,Almli LM,Bradley B,Ressler KJ,Epstein MP

更新日期：2015-07-01 00:00:00

abstract：:We address the analytical problem of evaluating the evidence for linkage at a test locus while taking into account the effect of a known linked disease locus. The method we propose is a multimarker regression approach that models the identity-by-descent states for affected sib-pairs at a series of linked markers in te...

journal_title：Genetic epidemiology

authors： Barber MJ,Todd JA,Cordell HJ

更新日期：2006-04-01 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：: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 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

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

更新日期：2000-03-01 00:00:00

abstract：:For many clinical studies in cancer, germline DNA is prospectively collected for the purpose of discovering or validating single-nucleotide polymorphisms (SNPs) associated with clinical outcomes. The primary clinical endpoint for many of these studies are time-to-event outcomes such as time of death or disease progres...

journal_title：Genetic epidemiology

authors： Owzar K,Li Z,Cox N,Jung SH

更新日期：2012-09-01 00:00:00

abstract：:Contributions to Group 17 of the Genetic Analysis Workshop 15 considered dense markers in linkage disequilibrium (LD) in the context of either linkage or association analysis. Three contributions reported on methods for modeling LD or selecting a subset of markers in linkage equilibrium to perform linkage analysis. Wh...

journal_title：Genetic epidemiology

authors： Dupuis J,Albers K,Allen-Brady K,Cho K,Elston RC,Kappen HJ,Tang H,Thomas A,Thomson G,Tsung E,Yang Q,Zhang W,Zhao K,Zheng G,Ziegler JT

更新日期：2007-01-01 00:00:00

abstract：:The 4 allele of apolipoprotein E (APOE) is associated with increased risk of two major causes of death in low-mortality populations: ischemic heart disease and Alzheimer's disease. It is less common among centenarians than at younger ages. Therefore, it is likely that it is associated with excess risk of death. This a...

journal_title：Genetic epidemiology

authors： Ewbank DC

更新日期：2002-02-01 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：: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：:Our group studied the effects of genotyping errors, pedigree errors, and missing data on a wide range of techniques, with a focus on the role of single-nucleotide polymorphisms (SNPs). Half of our group used simulated data, and half of our group used data from the Collaborative Study on the Genetics of Alcoholism (COG...

journal_title：Genetic epidemiology

authors： Hinrichs AL,Suarez BK

更新日期：2005-01-01 00:00:00

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

authors： Chen Z

更新日期：2011-11-01 00:00:00

abstract：:Association tests of multilocus haplotypes are of interest both in linkage disequilibrium mapping and in candidate gene studies. For case-parent trios, I discuss the extension of existing multilocus methods to include ambiguous haplotypes in tests of models which distinguish between the cis and trans phase. A likeliho...

journal_title：Genetic epidemiology

authors： Dudbridge F

更新日期：2003-09-01 00:00:00

abstract：:Elevation in plasma total homocysteine (tHcy) is believed to be causally related to cardiovascular disease. Like age and sex, the thermolabile variant of methylenetetrahydrofolate reductase (MTHFR(C677T)) is an important nonmodifiable determinant of tHcy, which may be considered when describing normal ranges of tHcy i...

journal_title：Genetic epidemiology

authors： Husemoen LL,Thomsen TF,Fenger M,Jørgensen HL,Jørgensen T

更新日期：2003-05-01 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：:Population isolates may be particularly useful for association studies of complex traits. This utility, however, largely depends on the transferability of tag SNPs chosen from reference samples, such as HapMap, to samples from such populations. Factors that characterize population isolates, such as widespread genetic ...

journal_title：Genetic epidemiology

authors： Service S,International Collaborative Group on Isolated Populations.,Sabatti C,Freimer N

更新日期：2007-04-01 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：: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：:It is believed that interactions among genes (epistasis) may play an important role in susceptibility to common diseases (Moore and Williams [2002]. Ann Med 34:88-95; Ritchie et al. [2001]. Am J Hum Genet 69:138-147). To study the underlying genetic variants of diseases, genome-wide association studies (GWAS) that sim...

journal_title：Genetic epidemiology

authors： Jiang X,Barmada MM,Visweswaran S

更新日期：2010-09-01 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：:For the association analysis of whole-genome sequencing (WGS) studies, we propose an efficient and fast spatial-clustering algorithm. Compared to existing analysis approaches for WGS data, that define the tested regions either by sliding or consecutive windows of fixed sizes along variants, a meaningful grouping of ne...

journal_title：Genetic epidemiology

authors： Loehlein Fier H,Prokopenko D,Hecker J,Cho MH,Silverman EK,Weiss ST,Tanzi RE,Lange C

更新日期：2017-05-01 00:00:00

abstract：:Testing association between a genetic marker and multiple-dependent traits is a challenging task when both binary and quantitative traits are involved. The inverted regression model is a convenient method, in which the traits are treated as predictors although the genetic marker is an ordinal response. It is known tha...

journal_title：Genetic epidemiology

authors： Yan T,Li Q,Li Y,Li Z,Zheng G

更新日期：2013-09-01 00:00:00

abstract：:Epigenome-wide association studies (EWAS) are designed to characterise population-level epigenetic differences across the genome and link them to disease. Most commonly, they assess DNA-methylation status at cytosine-guanine dinucleotide (CpG) sites, using platforms such as the Illumina 450k array that profile a subse...

journal_title：Genetic epidemiology

authors： Saffari A,Silver MJ,Zavattari P,Moi L,Columbano A,Meaburn EL,Dudbridge F

更新日期：2018-02-01 00:00:00

abstract：:With new technologies, multiple types of genomic data are commonly collected on a single set of samples. However, standard analysis methods concentrate on a single data type at a time and ignore the relationships between genes, proteins, and biochemical reactions that give rise to complex phenotypes. In this paper, we...

journal_title：Genetic epidemiology

authors： Fridley BL,Lund S,Jenkins GD,Wang L

更新日期：2012-05-01 00:00:00

abstract：:Genome-wide association studies (GWAS) are a powerful tool for understanding the genetic basis of diseases and traits, but most studies have been conducted in isolation, with a focus on either a single or a set of closely related phenotypes. We describe MetABF, a simple Bayesian framework for performing integrative me...

journal_title：Genetic epidemiology

authors： Trochet H,Pirinen M,Band G,Jostins L,McVean G,Spencer CCA

更新日期：2019-07-01 00:00:00

abstract：:The following Gm and Km immunoglobulin allotypes were determined on the Genetic Analysis Workshop 5 insulin-dependent diabetes mellitus (GAW5 IDDM) families: G1m (1,2,3,17), G2m (23), G3m (5,10,11,13,14,21,28) and Km (1,3). Since the allotype G2m (23) has been rarely studied, due to paucity of typing reagents, it was ...

journal_title：Genetic epidemiology

authors： Field LL,Dugoujon JM

更新日期：1989-01-01 00:00:00

abstract：:Various statistical methods have been proposed to evaluate associations between measured genetic variants and disease, including some using family designs. For breast cancer and rare variants, we applied a modified segregation analysis method that uses the population cancer incidence and population-based case families...

journal_title：Genetic epidemiology

authors： Cui JS,Spurdle AB,Southey MC,Dite GS,Venter DJ,McCredie MR,Giles GG,Chenevix-Trench G,Hopper JL

更新日期：2003-04-01 00:00:00

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

authors： Chatterjee N,Hartge P,Wacholder S

更新日期：2003-12-01 00:00:00

abstract：:Sub-Saharan Africa has been identified as the part of the world with the greatest human genetic diversity. This high level of diversity causes difficulties for genome-wide association (GWA) studies in African populations-for example, by reducing the accuracy of genotype imputation in African populations compared to no...

journal_title：Genetic epidemiology

authors： Huang L,Jakobsson M,Pemberton TJ,Ibrahim M,Nyambo T,Omar S,Pritchard JK,Tishkoff SA,Rosenberg NA

更新日期：2011-12-01 00:00:00