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Enhanced linkage maps from family ba...

He, Chunsheng.

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Enhanced linkage maps from family based studies.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Enhanced linkage maps from family based studies./
作者:	He, Chunsheng.
面頁冊數:	198 p.
附註:	Adviser: Tara Cox Matise.
Contained By:	Dissertation Abstracts International68-08B.
標題:	Biology, Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3277275
ISBN:	9780549193159

Enhanced linkage maps from family based studies.
He, Chunsheng.

Enhanced linkage maps from family based studies. - 198 p.

Adviser: Tara Cox Matise.

Thesis (Ph.D.)--Rutgers The State University of New Jersey - New Brunswick and University of Medicine and Dentistry of New Jersey, 2007.

Meiotic linkage maps are the foundation of linkage mapping for disease genes. Existing genome-wide linkage maps were built using only small collections of pedigrees, and so have wide confidence intervals (CIs). The 95% CI for a 10cM map distance is at least from 4 to 19cM with the sample size < 200 meioses. Inaccurate map distances and marker orders can lead to incorrect or imprecise results from linkage analyses, so there is a clear need for more accurate genetic maps for disease mapping studies. Accurate estimates of meiotic map distance cannot be obtained by any means other than by linkage analysis using more genotype data. The studies previously genotyped by the Mammalian Genotyping Service (MGS) at Marshfield, WI, provide just the kind of data required to generate more accurate maps.

ISBN: 9780549193159Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Enhanced linkage maps from family based studies.
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502 $a Thesis (Ph.D.)--Rutgers The State University of New Jersey - New Brunswick and University of Medicine and Dentistry of New Jersey, 2007.
520 $a Meiotic linkage maps are the foundation of linkage mapping for disease genes. Existing genome-wide linkage maps were built using only small collections of pedigrees, and so have wide confidence intervals (CIs). The 95% CI for a 10cM map distance is at least from 4 to 19cM with the sample size < 200 meioses. Inaccurate map distances and marker orders can lead to incorrect or imprecise results from linkage analyses, so there is a clear need for more accurate genetic maps for disease mapping studies. Accurate estimates of meiotic map distance cannot be obtained by any means other than by linkage analysis using more genotype data. The studies previously genotyped by the Mammalian Genotyping Service (MGS) at Marshfield, WI, provide just the kind of data required to generate more accurate maps.
520 $a We have collected a very large sample of genotype data from disease-mapping studies genotyped by the MGS. Our current sample includes genotypes for about 19,000 individuals from over 4,500 pedigrees for markers on the Weber screening sets 8-11. These sets have average map resolutions of 8-10 cM. Our data collection has a total of 6.81 million genotypes and several ethnic groups are represented. We have cleaned numerous pedigree structure and genotyping errors, as well as verified the marker orders. We have used this dataset to: (a) test for population-specific distribution of recombination; and (b) re-estimate the distances (including standard errors) on these screening set maps, both sex-averaged and sex-specific. The maps from Caucasian, Chinese, Hispanic samples are in quite good agreement with each other. We only found one map interval on chromosome 8p with significant difference between Caucasian and Chinese. The maps from the African-American sample have several significant differences with those from the Chinese population. However, many of them may be due to an apparently higher rate of genotyping errors present in the African-American study. When comparing Palauan with Caucasian samples, a significant difference was also detected for one map interval on the telomere region of chromosome 11. Comparisons between different Caucasian sub-populations have also been performed and no significant difference was found. Our analyses result in screening set maps with improved accuracy, which can in turn be used to improve the accuracy of disease-mapping studies. Taking advantage of our large sample size, the 95% CI for a 10 cM map interval is only about 2cM long.
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