Literature DB >> 18852196

Genome-wide association studies: past, present and future.

Mark I McCarthy, Joel N Hirschhorn.   

Abstract

Mesh：

Year:  2008        PMID： 18852196     DOI： 10.1093/hmg/ddn298

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN： 0964-6906            Impact factor:   6.150


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  33 in total

1.  Efficiency of trans-ethnic genome-wide meta-analysis and fine-mapping.

Authors:  Rick Twee-Hee Ong; Xu Wang; Xuanyao Liu; Yik-Ying Teo
Journal:  Eur J Hum Genet       Date:  2012-05-23       Impact factor: 4.246

Review 2.  Implications of genome-wide association studies in cancer therapeutics.

Authors:  Jai N Patel; Howard L McLeod; Federico Innocenti
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

3.  GWA meta-analysis of personality in Korean cohorts.

Authors:  Bo-Hye Kim; Han-Na Kim; Seung-Ju Roh; Mi Kyeong Lee; Sarah Yang; Seung Ku Lee; Yeon-Ah Sung; Hye Won Chung; Nam H Cho; Chol Shin; Joohon Sung; Hyung-Lae Kim
Journal:  J Hum Genet       Date:  2015-05-21       Impact factor: 3.172

4.  Type 2 Diabetes Genetics: Beyond GWAS.

Authors:  Dharambir K Sanghera; Piers R Blackett
Journal:  J Diabetes Metab       Date:  2012-06-23

5.  Rapid assessment of genetic ancestry in populations of unknown origin by genome-wide genotyping of pooled samples.

Authors:  Charleston W K Chiang; Zofia K Z Gajdos; Joshua M Korn; Finny G Kuruvilla; Johannah L Butler; Rachel Hackett; Candace Guiducci; Thutrang T Nguyen; Rainford Wilks; Terrence Forrester; Christopher A Haiman; Katherine D Henderson; Loic Le Marchand; Brian E Henderson; Mark R Palmert; Colin A McKenzie; Helen N Lyon; Richard S Cooper; Xiaofeng Zhu; Joel N Hirschhorn
Journal:  PLoS Genet       Date:  2010-03-05       Impact factor: 5.917

6.  Varietas: a functional variation database portal.

Authors:  Jussi Paananen; Robert Ciszek; Garry Wong
Journal:  Database (Oxford)       Date:  2010-07-29       Impact factor: 3.451

Review 7.  Emerging risk factors and markers of chronic kidney disease progression.

Authors:  Florian Kronenberg
Journal:  Nat Rev Nephrol       Date:  2009-12       Impact factor: 28.314

8.  Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data.

Authors:  Mitsunori Kayano; Ichigaku Takigawa; Motoki Shiga; Koji Tsuda; Hiroshi Mamitsuka
Journal:  Bioinformatics       Date:  2009-09-07       Impact factor: 6.937

9.  Genome-wide association analysis of Framingham Heart Study data for the Genetics Analysis Workshop 16: effects due to medication use.

Authors:  Treva K Rice; Yun Ju Sung; Gang Shi; C Charles Gu; Dc Rao
Journal:  BMC Proc       Date:  2009-12-15

10.  Geographical affinities of the HapMap samples.

Authors:  Miao He; Jane Gitschier; Tatiana Zerjal; Peter de Knijff; Chris Tyler-Smith; Yali Xue
Journal:  PLoS One       Date:  2009-03-04       Impact factor: 3.240
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