Familial aggregation of breast cancer with early onset lung cancer.


: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 risk of breast cancer. Families were identified through population-based lung cancer cases and controls under 40 years of age. Cases were ascertained through the Metropolitan Detroit SEER registry; controls through random-digit dialing. Data were available for 384 female relatives of 118 cases and 465 female relatives of 161 controls. Breast cancer in relatives was evaluated after adjusting for age, race, sex, and smoking status of each family member and the sex and age of the probands. A positive family history of early onset lung cancer increased breast cancer risk among first-degree relatives 5. 1-fold (95% CI, 1.7-15.1). Relatives of cases with adenocarcinoma of the lung were at highest risk (RR = 6.3, 95% CI 2.0-20). Mean age of breast cancer diagnosis among relatives of cases was 52.2 years and not statistically different from relatives of controls. Three case families also reported early ovarian cancers (mean age of diagnosis of 35 years). These findings suggest that shared susceptibility genes may act to increase risk of early onset lung and breast cancer in families.


Genet Epidemiol


Genetic epidemiology


Schwartz AG,Siegfried JM,Weiss L




Has Abstract


1999-11-01 00:00:00














  • Extended HLA profile of an inbred isolate: the Schmiedeleut Hutterites of South Dakota.

    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

    pub_type: 杂志文章


    authors: Dawson DV,Ober C,Kostyu DD

    更新日期:1995-01-01 00:00:00

  • Genetic association with multiple traits in the presence of population stratification.

    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

    pub_type: 杂志文章


    authors: Yan T,Li Q,Li Y,Li Z,Zheng G

    更新日期:2013-09-01 00:00:00

  • Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15.

    abstract::The research presented in group 11 of the Genetic Analysis Workshop 15 (GAW15) falls into two major themes: Model selection approaches for gene mapping (both Bayesian and Frequentist); and other Bayesian methods. These methods either allow relaxation of some of the common assumptions, such as mode of inheritance, for ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章,评审


    authors: Swartz MD,Thomas DC,Daw EW,Albers K,Charlesworth JC,Dyer TC,Fridley BL,Govil M,Kraft P,Kwon S,Logue MW,Oh C,Pique-Regi R,Saba L,Schumacher FR,Uh HW

    更新日期:2007-01-01 00:00:00

  • Autoimmune thyroid disease in type I diabetic families.

    abstract::The prevalence rate for autoimmune thyroid disease (ATD) is about 30 times higher in the type I diabetic (IDDM) families that were ascertained for Genetic Analysis Workshop 5 (GAW5) than in the general population. Two approaches were used to study the clustering of ATD and IDDM in these families: 1) HLA haplotype shar...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Payami H,Joe S,Thomson G

    更新日期:1989-01-01 00:00:00

  • Data mining and computationally intensive methods: summary of Group 7 contributions to Genetic Analysis Workshop 13.

    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

    pub_type: 杂志文章


    authors: Costello TJ,Falk CT,Ye KQ

    更新日期:2003-01-01 00:00:00

  • How can maximum likelihood methods reveal candidate gene effects on a quantitative trait?

    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

    pub_type: 杂志文章


    authors: Martinez M,Abel L,Demenais F

    更新日期:1995-01-01 00:00:00

  • Equivalence of the mixed and regressive models for genetic analysis. I. Continuous traits.

    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

    pub_type: 杂志文章


    authors: Demenais FM,Bonney GE

    更新日期:1989-01-01 00:00:00

  • Segregation analysis of autosomal dominant polycystic kidney disease.

    abstract::The results of classical segregation analysis on 159 families with polycystic kidney disease (PKD) are presented. It had been previously estimated that about 95% of autosomal dominant PKD (ADPKD) families have PKD1, the gene localized to chromosome 16p. The main purpose of the study was to determine if PKD shows any s...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Dobin A,Kimberling WJ,Pettinger W,Bailey-Wilson JE,Shugart YY,Gabow P

    更新日期:1993-01-01 00:00:00

  • Robust inference for variance components models in families ascertained through probands: I. Conditioning on proband's phenotype.

    abstract::A robust approach for estimating standard errors of variance components by using quantitative phenotypes from families ascertained through a proband with an extreme phenotypic value is presented. Estimators that use the multivariate normal distribution as a "working likelihood" are obtained by computing conditional ln...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Beaty TH,Liang KY

    更新日期:1987-01-01 00:00:00

  • Relevance of the genes for bone mass variation to susceptibility to osteoporotic fractures and its implications to gene search for complex human diseases.

    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

    pub_type: 杂志文章


    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

  • Multiethnic polygenic risk scores improve risk prediction in diverse populations.

    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

    pub_type: 杂志文章


    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

  • Pleiotropy and principal components of heritability combine to increase power for association analysis.

    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

    pub_type: 杂志文章


    authors: Klei L,Luca D,Devlin B,Roeder K

    更新日期:2008-01-01 00:00:00

  • Haplotype kernel association test as a powerful method to identify chromosomal regions harboring uncommon causal variants.

    abstract::For most complex diseases, the fraction of heritability that can be explained by the variants discovered from genome-wide association studies is minor. Although the so-called "rare variants" (minor allele frequency [MAF] < 1%) have attracted increasing attention, they are unlikely to account for much of the "missing h...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Lin WY,Yi N,Lou XY,Zhi D,Zhang K,Gao G,Tiwari HK,Liu N

    更新日期:2013-09-01 00:00:00

  • Stratified false discovery control for large-scale hypothesis testing with application to genome-wide association studies.

    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

    pub_type: 杂志文章


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

    更新日期:2006-09-01 00:00:00

  • Improving estimates of genetic maps: a meta-analysis-based approach.

    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

    pub_type: 杂志文章


    authors: Stewart WC

    更新日期:2007-07-01 00:00:00

  • Optimizing the power of genome-wide association studies by using publicly available reference samples to expand the control group.

    abstract::Genome-wide association (GWA) studies have proved extremely successful in identifying novel genetic loci contributing effects to complex human diseases. In doing so, they have highlighted the fact that many potential loci of modest effect remain undetected, partly due to the need for samples consisting of many thousan...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Zhuang JJ,Zondervan K,Nyberg F,Harbron C,Jawaid A,Cardon LR,Barratt BJ,Morris AP

    更新日期:2010-05-01 00:00:00

  • Effect of physical activity on lipid levels in a population-based sample of men with and without the Arg192 variant of the human paraoxonase gene.

    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

    pub_type: 杂志文章


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

    更新日期:2000-03-01 00:00:00

  • A meta-analysis approach with filtering for identifying gene-level gene-environment interactions.

    abstract::There is a growing recognition that gene-environment interaction (G × E) plays a pivotal role in the development and progression of complex diseases. Despite a wealth of genetic data on various complex diseases/traits generated from association and sequencing studies, detecting G × E via genome-wide analysis remains c...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章,meta分析


    authors: Wang J,Liu Q,Pierce BL,Huo D,Olopade OI,Ahsan H,Chen LS

    更新日期:2018-07-01 00:00:00

  • National database of familial cancer in Sweden.

    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

    pub_type: 杂志文章


    authors: Hemminki K,Vaittinen P

    更新日期:1998-01-01 00:00:00

  • A new association test based on Chi-square partition for case-control GWA studies.

    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

    pub_type: 杂志文章


    authors: Chen Z

    更新日期:2011-11-01 00:00:00

  • Evaluation of path analysis through computer simulation: effect of incorrectly assuming independent distribution of familial correlations.

    abstract::Path analysis of family data has been widely applied to resolve genetic and environmental patterns of familial resemblance. A prevalent statistical approach in path analysis has been, first, to estimate the familial correlations and, second, by assuming these estimates to be independently distributed, define a likelih...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: McGue M,Wette R,Rao DC

    更新日期:1984-01-01 00:00:00

  • Region-based association tests for sequencing data on survival traits.

    abstract::Family-based designs enriched with affected subjects and disease associated variants can increase statistical power for identifying functional rare variants. However, few rare variant analysis approaches are available for time-to-event traits in family designs and none of them applicable to the X chromosome. We develo...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Chien LC,Bowden DW,Chiu YF

    更新日期:2017-09-01 00:00:00

  • Family-based association tests for qualitative and quantitative traits using single-nucleotide polymorphism and microsatellite data.

    abstract::Using the Genetic Analysis Workshop 12 simulated data, we contrasted results for association tests in nuclear families and extended pedigrees using single-nucleotide polymorphism (SNP) data, and we compared results for different trait definitions, for outbred and isolate populations, and for SNP and microsatellite dat...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Wilk JB,Volcjak JS,Myers RH,Maher NE,Knowlton BA,Heard-Costa NL,Demissie S,Cupples LA,DeStefano AL

    更新日期:2001-01-01 00:00:00

  • PANDA: Prioritization of autism-genes using network-based deep-learning approach.

    abstract::Understanding the genetic background of complex diseases and disorders plays an essential role in the promising precision medicine. The evaluation of candidate genes, however, requires time-consuming and expensive experiments given a large number of possibilities. Thus, computational methods have seen increasing appli...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Zhang Y,Chen Y,Hu T

    更新日期:2020-06-01 00:00:00

  • Integrative sparse principal component analysis of gene expression data.

    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

    pub_type: 杂志文章


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

    更新日期:2017-12-01 00:00:00

  • Segregation analysis of cardiovascular reactivity to laboratory stressors.

    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

    pub_type: 杂志文章


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

    更新日期:1997-01-01 00:00:00

  • Parent-of-origin, imprinting, mitochondrial, and X-linked effects in traits related to alcohol dependence: presentation Group 18 of Genetic Analysis Workshop 14.

    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

    pub_type: 杂志文章


    authors: Strauch K,Baur MP

    更新日期:2005-01-01 00:00:00

  • TDT with covariates and genomic screens with mod scores: their behavior on simulated data.

    abstract::We describe an extension to the TDT (transmission/disequilibrium test) which allows for more than two marker alleles and for covariates measured on the parent or offspring. We also describe a systematic genomic search where the mod score (maximized lod score) is computed for each marker under constraints on the popula...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Rice JP,Neuman RJ,Hoshaw SL,Daw EW,Gu C

    更新日期:1995-01-01 00:00:00

  • Bayesian variable and model selection methods for genetic association studies.

    abstract::Variable selection is growing in importance with the advent of high throughput genotyping methods requiring analysis of hundreds to thousands of single nucleotide polymorphisms (SNPs) and the increased interest in using these genetic studies to better understand common, complex diseases. Up to now, the standard approa...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Fridley BL

    更新日期:2009-01-01 00:00:00

  • Measuring the inflation of the lod score due to its maximization over model parameter values in human linkage analysis.

    abstract::A computer-simulation method is presented for determining and correcting for the effect of maximizing the lod score over disease definitions, penetrance values, and perhaps other model parameters. The method consists of simulating the complete analysis using marker genotypes randomly generated under the assumption of ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Weeks DE,Lehner T,Squires-Wheeler E,Kaufmann C,Ott J

    更新日期:1990-01-01 00:00:00