Familial aggregation of breast cancer with early onset lung cancer.

abstract：:With challenges in data harmonization and environmental heterogeneity across various data sources, meta-analysis of gene-environment interaction studies can often involve subtle statistical issues. In this paper, we study the effect of environmental covariate heterogeneity (within and between cohorts) on two approache...

journal_title：Genetic epidemiology

authors： Li S,Mukherjee B,Taylor JM,Rice KM,Wen X,Rice JD,Stringham HM,Boehnke M

更新日期：2014-07-01 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：:Twin pairs are sometimes included in studies because at least one of them is a proband, and conventionally the analysis of the data is based on the conditional distribution of the co twin given the proband. In the case of more than one proband in each pair, an often used "ad hoc" method of analysis is to allow each tw...

journal_title：Genetic epidemiology

authors： Hindsberger C,Bryld LE

更新日期：2003-11-01 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：: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：: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：: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：: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：:Family data are useful for estimating disease risk in carriers of specific genotypes of a given gene (penetrance). Penetrance is frequently estimated assuming that relatives' phenotypes are independent, given their genotypes for the gene of interest. This assumption is unrealistic when multiple shared risk factors con...

journal_title：Genetic epidemiology

authors： Gong G,Hannon N,Whittemore AS

更新日期：2010-05-01 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：:Over the past few years, an increasing number of studies have identified rare variants that contribute to trait heritability. Due to the extreme rarity of some individual variants, gene-based association tests have been proposed to aggregate the genetic variants within a gene, pathway, or specific genomic region as op...

journal_title：Genetic epidemiology

authors： He Z,Lee S,Zhang M,Smith JA,Guo X,Palmas W,Kardia SLR,Ionita-Laza I,Mukherjee B

更新日期：2017-12-01 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

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：: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：: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：:Regressive models that incorporate measured variables and assumed genetic parameters were used to detect interactions between gene, research site, and environmental variables in GAW11 Problem 2. Replicates 1 to 5 were used in the analyses. Significant three-way gene x environment x site interactions were seen for all ...

journal_title：Genetic epidemiology

authors： Shin J,Corey M

更新日期：1999-01-01 00:00:00

abstract：:We investigate the relevance of the genetic determination of bone mineral density (BMD) variation to that of differential risk to osteoporotic fractures (OF). The high heritability (h(2)) of BMD and the significant phenotypic correlations between high BMD and low risk to OF are well known. Little is reported on h(2) f...

journal_title：Genetic epidemiology

authors： Deng HW,Mahaney MC,Williams JT,Li J,Conway T,Davies KM,Li JL,Deng H,Recker RR

更新日期：2002-01-01 00:00:00

abstract：:Meta-analysis has been little explored to make an overall assessment of linkage from different studies. In practice, it is likely that published linkage studies will only report p-values. We compared the performance of the widely used Fisher method for combining p-values with that of pooling raw data. More loci were c...

journal_title：Genetic epidemiology

authors： Guerra R,Etzel CJ,Goldstein DR,Sain SR

更新日期：1999-01-01 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：: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：: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：:The aim of this paper is to generalize permutation methods for multiple testing adjustment of significant partial regression coefficients in a linear regression model used for microarray data. Using a permutation method outlined by Anderson and Legendre [1999] and the permutation P-value adjustment from Simon et al. [...

journal_title：Genetic epidemiology

authors： Wagner BD,Zerbe GO,Mexal S,Leonard SS

更新日期：2008-01-01 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：: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：: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：: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：: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 contrast the pooling of multiple data sets with the compound HLOD (HLOD-C) and the posterior probability of linkage (PPL), two approaches that have been shown to have more power in the presence of genetic heterogeneity. We also propose and evaluate several multipoint extensions. ...

journal_title：Genetic epidemiology

authors： Van Eerdewegh P,Dowd M,Dupuis J,Falls K,Hayward B,Santangelo SL

更新日期：2001-01-01 00:00:00

abstract：:Imputation is widely used for obtaining information about rare variants. However, one issue concerning imputation is the low accuracy of imputed rare variants as the inaccurate imputed rare variants may distort the results of region-based association tests. Therefore, we developed a pre-collapsing imputation method (P...

journal_title：Genetic epidemiology

authors： Kim YJ,Lee J,Kim BJ,T2D-Genes Consortium.,Park T

更新日期：2017-01-01 00:00:00

abstract：:Bone mass may be so reduced in some individuals as to be characterized as osteoporotic, with resulting fracture, particularly of the proximal femur, vertebrae, or wrist. We identified 34 mother-daughter sets (n = 70) and 29 sibling sets (n = 59) from a community study of bone mass correlates to assess the degree of re...

journal_title：Genetic epidemiology

authors： Sowers MR,Burns TL,Wallace RB

更新日期：1986-01-01 00:00:00