Abstract:
:Mapping of the human genome has the potential to transform the traditional methods of genetic epidemiology. The complete draft sequence of the 3.3 billion nucleotides comprising the genome is now available over the Internet, including the location and nearly complete sequence of the 26,000 to 31,000 protein-encoding genes. However, aside from water, almost everything in the human body is either made of, or by, proteins. Although the DNA code provides the instructions for their amino acid sequence, there are an estimated 1.5 million proteins. Thus, the correlation between DNA sequence and protein is low, reflecting alternate splicing as well as post-translational modification. The purpose of this article is to explore ways in which the emerging field of proteomics, the study of proteins in a cell, may inform our approach to gene mapping. This article reviews the various technical approaches currently available for proteomics. Technologies are available to quantify protein expression (and compare normal versus disease states), identify proteins through comparison with sequence information in databases or direct sequencing (which can then be mapped to chromosomal locations to ensure appropriate markers), elucidate protein-protein interactions (which may underlie disease), determine localization of proteins within the cell (abnormal trafficking of proteins could have an inherited basis), and characterize modifications of proteins (which is relevant to modifier gene candidates). Several examples are presented to illustrate the potential application of proteomics to the field of genetic epidemiology, and we conclude with various considerations regarding design and analysis.
journal_name
Genet Epidemioljournal_title
Genetic epidemiologyauthors
Sellers TA,Yates JRdoi
10.1002/gepi.10226subject
Has Abstractpub_date
2003-02-01 00:00:00pages
83-98issue
2eissn
0741-0395issn
1098-2272journal_volume
24pub_type
杂志文章,评审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
pub_type: 杂志文章
doi:10.1002/gepi.20291
更新日期:2007-01-01 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
pub_type: 杂志文章
doi:10.1002/gepi.1370060108
更新日期:1989-01-01 00:00:00
abstract::We have analyzed allele frequency distribution at the hypervariable locus 3' to the apolipoprotein B gene in a healthy population sample (241 women and 246 men) from the Belgrade area. The bimodal distribution of sixteen different hypervariable region (HVR) alleles and the heterozygosity index (average 0.76) in both s...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/(SICI)1098-2272(1998)15:2<113::AID-GEPI1>3
更新日期:1998-01-01 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
pub_type: 杂志文章
doi:10.1002/gepi.20120
更新日期:2005-01-01 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
pub_type: 杂志文章,多中心研究
doi:10.1002/gepi.22020
更新日期:2017-01-01 00:00:00
abstract::A key aim for current genome-wide association studies (GWAS) is to interrogate the full spectrum of genetic variation underlying human traits, including rare variants, across populations. Deep whole-genome sequencing is the gold standard to fully capture genetic variation, but remains prohibitively expensive for large...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22326
更新日期:2020-09-01 00:00:00
abstract::The aim of this paper is to develop a functional-mixed effects modeling (FMEM) framework for the joint analysis of high-dimensional imaging data in a large number of locations (called voxels) of a three-dimensional volume with a set of genetic markers and clinical covariates. Our FMEM is extremely useful for efficient...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.21854
更新日期:2014-12-01 00:00:00
abstract::Emerging evidence suggests that a genetic variant can affect multiple phenotypes, especially in complex human diseases. Therefore, joint analysis of multiple phenotypes may offer new insights into disease etiology. Recently, many statistical methods have been developed for joint analysis of multiple phenotypes, includ...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22263
更新日期:2020-01-01 00:00:00
abstract::The univariate analysis of categorical twin data can be performed using either structural equation modeling (SEM) or logistic regression. This paper presents a comparison between these two methods using a simulation study. Dichotomous and ordinal (three category) twin data are simulated under two different sample size...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/(SICI)1098-2272(1996)13:1<79::AID-GEPI7>3.
更新日期:1996-01-01 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
pub_type: 杂志文章
doi:10.1002/gepi.1370060207
更新日期:1989-01-01 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
pub_type: 杂志文章
doi:10.1002/gepi.1370110108
更新日期:1994-01-01 00:00:00
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
doi:10.1002/gepi.20353
更新日期:2009-01-01 00:00:00
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
doi:10.1002/gepi.1370100305
更新日期:1993-01-01 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
pub_type: 杂志文章
doi:10.1002/gepi.20659
更新日期:2011-01-01 00:00:00
abstract::In an earlier paper, positive but nonsignificant lod scores were found in pair-wise linkage tests between multiple endocrine neoplasia type 2A (MEN-2A) and both the haptoglobin (HP) locus on chromosome 16 and group-specific component (GC) locus on chromosome 4. Recently discovered restriction fragment length polymorph...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370030306
更新日期:1986-01-01 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
pub_type: 杂志文章
doi:10.1002/gepi.20493
更新日期:2010-05-01 00:00:00
abstract::We have used the unblinded MG1/Q1 Genetic Analysis Workshop 12 simulated data as a model system for investigating the use of linkage disequilibrium structure and simple genotype-phenotype associations to identify candidate functional mutations within a gene of interest. Analysis of the pattern of pairwise linkage dise...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.2001.21.s1.s620
更新日期:2001-01-01 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
pub_type: 杂志文章
doi:10.1002/gepi.10253
更新日期:2003-11-01 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
pub_type: 杂志文章
doi:10.1002/gepi.20137
更新日期:2006-04-01 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
pub_type: 杂志文章
doi:10.1002/gepi.20531
更新日期:2010-11-01 00:00:00
abstract::Clinical trial results have recently demonstrated that inhibiting inflammation by targeting the interleukin-1β pathway can offer a significant reduction in lung cancer incidence and mortality, highlighting a pressing and unmet need to understand the benefits of inflammation-focused lung cancer therapies at the genetic...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22358
更新日期:2021-02-01 00:00:00
abstract::Increased adiposity has repeatedly been identified as a major risk factor for a variety of chronic diseases. However, the question still remains whether the amount of adipose tissue itself is genetically mediated. To address this question, a segregation analysis, using maximum likelihood techniques as implemented in t...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370120505
更新日期:1995-01-01 00:00:00
abstract::An extension of the traditional regression of offspring on midparent (ROMP) method was used to estimate the heritability of the trait, test for marker association, and estimate the heritability attributable to a marker locus. The fifty replicates of the Genetic Analysis Workshop (GAW) 12 simulated general population d...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.2001.21.s1.s794
更新日期:2001-01-01 00:00:00
abstract::The asymptotic distribution of [MOD] scores under the null hypothesis of no linkage is only known for affected sib pairs and other types of affected relative pairs. We have extended the GENEHUNTER-MODSCORE program to allow for simulations under the null hypothesis of no linkage to determine the empirical significance ...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20264
更新日期:2008-01-01 00:00:00
abstract::Grade of membership analysis (GoM) may have particular relevance for genetic epidemiology. The method can flexibly relate genetic markers, clinical features, and environmental exposures to possible subtypes of disease termed pure types even when population allele frequencies and penetrance functions are not known. Hen...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370100628
更新日期:1993-01-01 00:00:00
abstract::Variance component linkage analysis is commonly used to map quantitative trait loci (QTLs) in general pedigrees. Large pedigrees are especially attractive for these studies because they provide greater power per genotyped individual than small pedigrees. We propose accurate and computationally efficient methods to cal...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20160
更新日期:2006-09-01 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
pub_type: 杂志文章
doi:10.1002/gepi.21871
更新日期:2015-02-01 00:00:00
abstract::A method is described for estimating excess relative risks of a disease from familial factors. Beginning with population-based series of cases and controls, a cohort of each subject's relatives is formed and checked for disease against a population based registry. The disease experience of the cohort formed from each ...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370120306
更新日期:1995-01-01 00:00:00
abstract::High-throughput sequencing technologies have enabled large-scale studies of the role of the human microbiome in health conditions and diseases. Microbial community level association test, as a critical step to establish the connection between overall microbiome composition and an outcome of interest, has now been rout...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22030
更新日期:2017-04-01 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
pub_type: 杂志文章
doi:10.1002/gepi.2001.21.s1.s732
更新日期:2001-01-01 00:00:00