Estimation of a significance threshold for epigenome-wide association studies.

abstract：:Genome-wide association studies of discrete traits generally use simple methods of analysis based on chi(2) tests for contingency tables or logistic regression, at least for an initial scan of the entire genome. Nevertheless, more power might be obtained by using various methods that analyze multiple markers in combin...

journal_title：Genetic epidemiology

authors： Thomas DC

更新日期：2009-01-01 00:00:00

abstract：:To better understand the contribution of major gene influences to individual differences in cardiovascular reactivity, we performed a segregation analysis on blood pressure responses to two laboratory tasks, mental arithmetic and bicycle exercise. The study population consisted of 1,451 adults (age > or = 18 years) wh...

journal_title：Genetic epidemiology

authors： Cheng LS,Carmelli D,Hunt SC,Williams RR

更新日期：1997-01-01 00:00:00

abstract：:Recent advances in the molecular basis of body fat regulation have identified several genes in which genetic variation may influence obesity and related measures in human populations. Genes that have been shown to have a regulatory function in the control of body fat utilization, eating behavior, and/or metabolic rate...

journal_title：Genetic epidemiology

authors： Bray MS,Boerwinkle E,Hanis CL

更新日期：1999-01-01 00:00:00

abstract：:Over the past few years at least 13 transmission/disequilibrium test (TDT)-based tests have been developed for quantitative (Q) traits for the assessment of association or linkage in the presence of the other. A total of six of these QTDT methods were used to analyze log10IgE in the Collaborative Study on the Genetics...

journal_title：Genetic epidemiology

authors： Page GP,Wilcox MA,Occhiuto J,Adak S,Neuberg D,Bajorunaite R,George V

更新日期：2001-01-01 00:00:00

abstract：:The aim of this population-based study was to determine whether asthma aggregates in families, and if so, whether aggregation was consistent with environmental and/or genetic etiologies. Data were from 7,394 nuclear families (41,506 individuals) from the 1968 Tasmanian Asthma Survey, in which all Tasmanian schoolchild...

journal_title：Genetic epidemiology

authors： Jenkins MA,Hopper JL,Giles GG

更新日期：1997-01-01 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：:The use of patterned covariance matrices in forming pedigree-based mixed models for quantitative traits is discussed. It is suggested that patterned covariance matrix models provide intuitive, theoretically appealing, and flexible genetic modeling devices for pedigree data. It is suggested further that the very great ...

journal_title：Genetic epidemiology

authors： Schork N

更新日期：1991-01-01 00:00:00

abstract：:Advances in high throughput technology have enabled the generation of unprecedented amounts of genomic data (e.g., next-generation sequence data, transcriptomics, metabolomics, and proteomics), which promises to unravel the genetic architecture of complex traits. These discoveries may lead to novel therapeutic targets...

journal_title：Genetic epidemiology

authors： Lee SM,Karrison TG,Cox NJ,Im HK

更新日期：2013-12-01 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：: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 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：:The study of the genetic component of early-onset diseases requires investigation into parental genetic effects, particularly those mediated by the mother who can influence the offspring's risk of disease through the effects of her genes acting directly on the intrauterine milieu or indirectly through maternal-gene ch...

journal_title：Genetic epidemiology

authors： Bourgey M,Healy J,Saint-Onge P,Massé H,Sinnett D,Roy-Gagnon MH

更新日期：2011-09-01 00:00:00

abstract：:This paper discusses the theory and implementation of a model for mapping X-linked quantitative trait loci (QTL). As a result of X inactivation, a female's body is subdivided into a number of patches. In each patch one of her two X chromosomes is randomly switched off. This smooths the allelic contributions in a heter...

journal_title：Genetic epidemiology

authors： Lange K,Sobel E

更新日期：2006-07-01 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：: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：:alpha 1-antitrypsin (alpha 1 AT) deficiency is variably associated with the development of pulmonary emphysema. To gain insight into the process which begins the Z point mutation at the Protease Inhibitor (Pi) locus and results in the variable development of emphysema, three quantitative phenotypes, including total al...

journal_title：Genetic epidemiology

authors： Silverman EK,Province MA,Campbell EJ,Pierce JA,Rao DC

更新日期：1990-01-01 00:00:00

abstract：:To explain the association between HLA-DRB1 gene and rheumatoid arthritis (RA), two main hypotheses have been proposed. The first, the shared epitope hypothesis, assumes a direct role of DRB1 in RA susceptibility. The second hypothesis assumes a recessive disease susceptibility gene in linkage disequilibrium with DRB1...

journal_title：Genetic epidemiology

authors： Génin E,Babron MC,McDermott MF,Mulcahy B,Waldron-Lynch F,Adams C,Clegg DO,Ward RH,Shanahan F,Molloy MG,O'Gara F,Clerget-Darpoux F

更新日期：1998-01-01 00:00:00

abstract：:Different maximum likelihood approaches were used to explore the role of candidate genes in the variability of quantitative trait Q1 while accounting for the effects of age, Q2, and Q3. Segregation analysis, under the class D regressive model, provides evidence for a Mendelian gene effect on the adjusted trait Q1. Res...

journal_title：Genetic epidemiology

authors： Martinez M,Abel L,Demenais F

更新日期：1995-01-01 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：: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：:We combined the five chromosome 18 bipolar affective disorder data sets provided by GAW10, totaling 185 families with 3,394 individuals, and performed analysis of differential parental transmission and chromosome 18 marker allele sharing in families with transmission through fathers vs those through mothers. Results i...

journal_title：Genetic epidemiology

authors： Lin JP,Bale SJ

更新日期：1997-01-01 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：: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：:Recently, Liang et al. ([2001b] Genet. Epidemiol. 21:105-122) proposed a conditional approach to assess linkage evidence on the target region by incorporating linkage information from an unlinked (reference) region using allele shared IBD (identity-by-decent) from affected sib pairs. This is carried out by conditionin...

journal_title：Genetic epidemiology

authors： Chiu YF,Liang KY

更新日期：2004-02-01 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：:Genetic Analysis Workshop 17 (GAW17) focused on the transition from genome-wide association study designs and methods to the study designs and statistical genetic methods that will be required for the analysis of next-generation sequence data including both common and rare sequence variants. In the 166 contributions t...

journal_title：Genetic epidemiology

authors： Wilson AF,Ziegler A

更新日期：2011-01-01 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：: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：: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：: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