此页面是自动翻译的,不保证翻译的准确性。请参阅 英文版 对于源文本。

Enhanced Linkage Maps From Family-Based Genetics Studies

2020年9月23日 更新者:Rutgers University
To develop genetic maps for the genome-wide screening markers used by multiple investigators and to investigate map differences between sexes and different ethnic groups.

研究概览

地位

完全的

详细说明

BACKGROUND:

Meiotic linkage maps are the foundation of both linkage and linkage disequilibrium studies for mapping disease genes. Despite the importance of precise maps, existing genome-wide linkage maps were built using only a small collection of pedigrees, and so have wide confidence intervals surrounding estimates of map distance. Incorrect marker order and map distances can have a profound effect on linkage analyses. Using a sex-averaged map instead of a sex-specific map biases the lod scores upward, markedly increasing the false positive rate. Since it is very costly to follow-up many false-positive results, there is a clear need for more precise and accurate sex-specific genetic maps. Accurate estimates of meiotic map distance cannot be obtained by any means other than by linkage analysis using genotype data.

The study is in response to a Request for Applications entitled "NHLBI Innovative Research Grant Program" released in July, 2001. The purpose of the initiative is to support new approaches to heart, lung, and blood diseases and sleep disorders that use existing data sets or existing biological specimen collections whether obtained through National Heart, Lung, and Blood Institute support or not.

DESIGN NARRATIVE:

The genetic epidemiology study will build improved highly-precise sex-specific linkage maps utilizing thousands of individuals who have previously been genotyped. After filtering out obvious relationship and genotype errors, the study will incorporate methods that properly model for genotyping errors. In addition to creating precise maps for the scientific community, the study will also use these genotype data to study how recombination may vary between ethnic groups. The genotypes generated by the NHLBI Mammalian Genotyping Service are precisely the type of data required to produce more accurate maps. These data collections contain over 3,400 pedigrees with more than a 100-fold increase in information compared to that contained in the 8 CEPH families that have been used to construct current genome-wide linkage maps. The new maps will be made publicly available and the genotype data from the study will be accessible by the MAP-0-MAT linkage mapping server. In the future, the study will be broadened to incorporate genotype data from additional genotyping centers such as the Center for Inherited Disease Research (CIDR).

研究类型

观察性的

注册 (实际的)

1

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

1秒 至 100年 (孩子、成人、年长者)

接受健康志愿者

有资格学习的性别

全部

描述

No eligibility criteria

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • Tara Matise、Rutgers, the State University of New Jersey

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始

2002年9月1日

研究完成

2005年8月1日

研究注册日期

首次提交

2002年11月14日

首先提交符合 QC 标准的

2002年11月14日

首次发布 (估计)

2002年11月15日

研究记录更新

最后更新发布 (实际的)

2020年9月25日

上次提交的符合 QC 标准的更新

2020年9月23日

最后验证

2020年9月1日

更多信息

与本研究相关的术语

其他相关的 MeSH 术语

其他研究编号

  • 1203 (PI)
  • R01HL071029 (美国 NIH 拨款/合同)

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

3
订阅