The impact of data quality on the identification of complex disease genes: experience from the Family Blood Pressure Program-Reference-Cited by-同舟云学术

The impact of data quality on the identification of complex disease genes: experience from the Family Blood Pressure Program

Published:2006-02-22 Issue:4 Volume:14 Page:469-477
ISSN:1018-4813
Container-title:European Journal of Human Genetics
language:en
Short-container-title:Eur J Hum Genet

Author:

Chang Yen-Pei Christy,Kim James Dae-Ok,Schwander Karen,Rao Dabeeru C,Miller Mike B,Weder Alan B,Cooper Richard S,Schork Nicholas J,Province Michael A,Morrison Alanna C,Kardia Sharon L R,Quertermous Thomas,Chakravarti Aravinda

Publisher

Springer Science and Business Media LLC

Subject

Genetics(clinical),Genetics

Link

http://www.nature.com/articles/5201582.pdf

Reference44 articles.

1. Altmuller J, Palmer LJ, Fischer G, Scherb H, Wjst M : Genomewide scans of complex human diseases: true linkage is hard to find. Am J Hum Genet 2001; 69: 936–950.

2. Multi-center genetic study of hypertension: The Family Blood Pressure Program (FBPP). Hypertension 2002; 39: 3–9.

3. DeWan AT, Parrado AR, Matise TC, Leal SM : The map problem: a comparison of genetic and sequence-based physical maps. Am J Hum Genet 2002; 70: 101–107.

4. Daw EW, Thompson EA, Wijsman EM : Bias in multipoint linkage analysis arising from map misspecification. Genet Epidemiol 2000; 19: 366–380.

5. Broman KW, Murray JC, Sheffield VC, White RL, Weber JL : Comprehensive human genetic maps: individual and sex-specific variation in recombination. Am J Hum Genet 1998; 63: 861–869.

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Familial Analysis of Epistatic and Sex-Dependent Association of Genes of the Renin–Angiotensin–Aldosterone System and Blood Pressure;Circulation: Cardiovascular Genetics;2017-06

2. Design Considerations for Genetic Linkage and Association Studies;Methods in Molecular Biology;2017

3. Value of Mendelian Laws of Segregation in Families: Data Quality Control, Imputation, and Beyond;Genetic Epidemiology;2014-08-11

4. Detection of Mendelian Consistent Genotyping Errors in Pedigrees;Genetic Epidemiology;2014-04

5. PhenoMan: phenotypic data exploration, selection, management and quality control for association studies of rare and common variants;Bioinformatics;2013-12-12