Genetic epidemiology of breast cancer: segregation analysis of 389 Icelandic pedigrees.

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：:Methods for genetic risk prediction have been widely investigated in recent years. However, most available training data involves European samples, and it is currently unclear how to accurately predict disease risk in other populations. Previous studies have used either training data from European samples in large sam...

journal_title：Genetic epidemiology

authors： Márquez-Luna C,Loh PR,South Asian Type 2 Diabetes (SAT2D) Consortium.,SIGMA Type 2 Diabetes Consortium.,Price AL

更新日期：2017-12-01 00:00:00

abstract：:The Framingham Heart Study data, as well as a related simulated data set, were generously provided to the participants of the Genetic Analysis Workshop 13 in order that newly developed and emerging statistical methodologies could be tested on that well-characterized data set. The impetus driving the development of nov...

journal_title：Genetic epidemiology

authors： Costello TJ,Falk CT,Ye KQ

更新日期：2003-01-01 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：:High-throughput sequencing data can be used to predict phenotypes from genotypes, and this corresponds to establishing a prognostic model. In extended pedigrees the relatedness of subjects provides additional information so that genetic values, fixed or random genetic components, and heritability can be estimated. At ...

journal_title：Genetic epidemiology

authors： Ziegler A,Bohossian N,Diego VP,Yao C

更新日期：2014-09-01 00:00:00

abstract：:The recent successes of genome-wide association studies (GWAS) have renewed interest in genome environment wide interaction studies (GEWIS) to discover genetic factors that modulate penetrance of environmental exposures to human diseases. Indeed, gene-environment interactions (G × E), which have not been emphasized in...

journal_title：Genetic epidemiology

authors： Zhao LP,Fan W,Goodman G,Radich J,Martin P

更新日期：2015-07-01 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：:We have conducted a simulation study in small pedigrees to investigate the power to detect linkage and heterogeneity for a disorder due to either one of two independent disease loci. We have considered a highly polymorphic marker locus (PIC = 70%) linked to one disease locus and unlinked to the second. The power to de...

journal_title：Genetic epidemiology

authors： Martinez M,Goldin LR

更新日期：1990-01-01 00:00:00

abstract：:When testing for genetic effects, failure to account for a gene-environment interaction can mask the true association effects of a genetic marker with disease. Family-based association tests are popular because they are completely robust to population substructure and model misspecification. However, when testing for ...

journal_title：Genetic epidemiology

authors： Hoffmann TJ,Lange C,Vansteelandt S,Laird NM

更新日期：2009-12-01 00:00:00

abstract：:The purpose of this commentary is to provide a framework for using the well-known sib-pair methodology in the context of epidemiologic study designs. Using examples from the Pittsburgh family studies of insulin-dependent diabetes mellitus, we illustrate that the sib-pair method can be used in family-based epidemiologi...

journal_title：Genetic epidemiology

authors： Khoury MJ,Flanders WD,Lipton RB,Dorman JS

更新日期：1991-01-01 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 transmission disequilibrium test (TDT), originally developed for mapping disease genes, has recently been extended to identify quantitative trait loci (QTL). For quantitative traits important for human health, generally multiple QTLs are involved. In the investigation of the statistical properties of the TDT, back...

journal_title：Genetic epidemiology

authors： Deng HW,Li J,Recker RR

更新日期：2001-11-01 00:00:00

abstract：:Complex traits have been modeled under various modes of two-locus inheritance. One example of a two-locus threshold model is the situation where an individual is susceptible to a disease trait if he or she carries three or more disease alleles. Under this model, if each locus is examined individually the inheritance a...

journal_title：Genetic epidemiology

authors： Leal SM,Ott J

更新日期：1997-01-01 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：: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

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

更新日期：2015-02-01 00:00:00

abstract：:Several approaches were taken to identify the loci contributing to the quantitative and qualitative phenotypes in the Genetic Analysis Workshop 12 simulated data set. To identify possible quantitative trait loci (QTL), the quantitative traits were analyzed using SOLAR. The four replicates identified as the "best repli...

journal_title：Genetic epidemiology

authors： Pankratz N,Kirkwood SC,Flury L,Koller DL,Foroud T

更新日期：2001-01-01 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：:Population stratification (PS) can lead to an inflated rate of false-positive findings in genome-wide association studies (GWAS). The commonly used approach of adjustment for a fixed number of principal components (PCs) could have a deleterious impact on power when selected PCs are equally distributed in cases and con...

journal_title：Genetic epidemiology

authors： Li Q,Wacholder S,Hunter DJ,Hoover RN,Chanock S,Thomas G,Yu K

更新日期：2009-07-01 00:00:00

abstract：:This paper describes a general genetic model which encompasses both autosomal and X-linked inheritance as submodels. It allows one to test for X-linked inheritance of a trait by comparing the likelihood of X-linked inheritance to the likelihood of the general genetic model. The general model is formulated as two loci,...

journal_title：Genetic epidemiology

authors： Hasstedt SJ,Skolnick M

更新日期：1984-01-01 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

abstract：:HLA-A, -B, -C, -DR, and -DQ typings of the Schmiedeleut Hutterites of South Dakota were collected as part of an ongoing genetic-epidemiologic study of HLA and fertility. A total of 1,082 individuals, including 852 married adults representative of the reproductive population of this isolate, were characterized for five...

journal_title：Genetic epidemiology

authors： Dawson DV,Ober C,Kostyu DD

更新日期：1995-01-01 00:00:00

abstract：:The multiplicity problem has become increasingly important in genetic studies as the capacity for high-throughput genotyping has increased. The control of False Discovery Rate (FDR) (Benjamini and Hochberg. [1995] J. R. Stat. Soc. Ser. B 57:289-300) has been adopted to address the problems of false positive control an...

journal_title：Genetic epidemiology

authors： Sun L,Craiu RV,Paterson AD,Bull SB

更新日期：2006-09-01 00:00:00

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

authors： Ottman R

更新日期：1994-01-01 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：:Multipoint linkage analysis using sibpair designs remains a common approach to help investigators to narrow chromosomal regions for traits (either qualitative or quantitative) of interest. Despite its popularity, the success of this approach depends heavily on how issues such as genetic heterogeneity, gene-gene, and g...

journal_title：Genetic epidemiology

authors： Chiou JM,Liang KY,Chiu YF

更新日期：2005-01-01 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：:Jewish women have been reported to have a higher risk for familial breast cancer than non-Jewish women and to be more likely to carry mutations in breast cancer genes such as BRCA1. Because BRCA1 mutations also increase women's risk for ovarian cancer, we asked whether Jewish women are at higher risk for familial ovar...

journal_title：Genetic epidemiology

authors： Steinberg KK,Pernarelli JM,Marcus M,Khoury MJ,Schildkraut JM,Marchbanks PA

更新日期：1998-01-01 00:00:00

abstract：:Meta-analyses of genetic association studies are usually performed using a single polymorphism at a time, even though in many cases the individual studies report results from partially overlapping sets of polymorphisms. We present here a multipoint (or multilocus) method for multivariate meta-analysis of published pop...

journal_title：Genetic epidemiology

authors： Bagos PG,Liakopoulos TD

更新日期：2010-11-01 00:00:00

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

authors： Jiang Y,Zhang H

更新日期：2011-02-01 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