Literature DB >> 12610532

Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease.

David Botstein1, Neil Risch.   

Abstract

The past two decades have witnessed an explosion in the identification, largely by positional cloning, of genes associated with mendelian diseases. The roughly 1,200 genes that have been characterized have clarified our understanding of the molecular basis of human genetic disease. The principles derived from these successes should be applied now to strategies aimed at finding the considerably more elusive genes that underlie complex disease phenotypes. The distribution of types of mutation in mendelian disease genes argues for serious consideration of the early application of a genomic-scale sequence-based approach to association studies and against complete reliance on a positional cloning approach based on a map of anonymous single nucleotide polymorphism haplotypes.

Entities:  

Mesh:

Year:  2003        PMID: 12610532     DOI: 10.1038/ng1090

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  442 in total

Review 1.  Genetic epidemiology, genetic maps and positional cloning.

Authors:  Newton E Morton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-10-29       Impact factor: 6.237

2.  Enteroviruses in chronic fatigue syndrome: "now you see them, now you don't".

Authors:  M C Dalakas
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-10       Impact factor: 10.154

3.  Single nucleotide variation analysis in 65 candidate genes for CNS disorders in a representative sample of the European population.

Authors:  Yun Freudenberg-Hua; Jan Freudenberg; Nadine Kluck; Sven Cichon; Peter Propping; Markus M Nöthen
Journal:  Genome Res       Date:  2003-10       Impact factor: 9.043

4.  Inference on haplotype effects in case-control studies using unphased genotype data.

Authors:  Michael P Epstein; Glen A Satten
Journal:  Am J Hum Genet       Date:  2003-11-20       Impact factor: 11.025

5.  Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium.

Authors:  Christopher S Carlson; Michael A Eberle; Mark J Rieder; Qian Yi; Leonid Kruglyak; Deborah A Nickerson
Journal:  Am J Hum Genet       Date:  2003-12-15       Impact factor: 11.025

6.  Lack of association between gene variants in the ALMS1 gene and Type 2 diabetes mellitus.

Authors:  L M 't Hart; J A Maassen; J M Dekker; R J Heine; J A Maassen
Journal:  Diabetologia       Date:  2003-06-21       Impact factor: 10.122

Review 7.  Edgotype: a fundamental link between genotype and phenotype.

Authors:  Nidhi Sahni; Song Yi; Quan Zhong; Noor Jailkhani; Benoit Charloteaux; Michael E Cusick; Marc Vidal
Journal:  Curr Opin Genet Dev       Date:  2013-11-26       Impact factor: 5.578

8.  Genome-wide search for genes that modulate inflammatory arthritis caused by Ali18 mutation in mice.

Authors:  Koichiro Abe; Matthias Klaften; Akira Narita; Tetsuaki Kimura; Kenji Imai; Minoru Kimura; Isabel Rubio-Aliaga; Sibylle Wagner; Thilo Jakob; Martin Hrabé de Angelis
Journal:  Mamm Genome       Date:  2009-02-24       Impact factor: 2.957

9.  A survey of haplotype variants at several disease candidate genes: the importance of rare variants for complex diseases.

Authors:  P-Y Liu; Y-Y Zhang; Y Lu; J-R Long; H Shen; Lan-J Zhao; F-H Xu; P Xiao; D-H Xiong; Y-J Liu; R R Recker; H-W Deng
Journal:  J Med Genet       Date:  2005-03       Impact factor: 6.318

10.  Chip-based direct genotyping of coding variants in genome wide association studies: utility, issues and prospects.

Authors:  Caroline M Nievergelt; Nathan E Wineinger; Ondrej Libiger; Phillip Pham; Guangfa Zhang; Dewleen G Baker; Nicholas J Schork
Journal:  Gene       Date:  2014-02-09       Impact factor: 3.688

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.