Identification of Novel Candidate Genes for Type 2 Diabetes From a Genome-Wide Association Scan in the Old Order Amish | Zendy

Evadnie Rampersaud | Zendy; Coleen Damcott | Zendy; Mao Fu | Zendy; Haiqing Shen | Zendy; Patrick F. McArdle | Zendy; XiaoLian Shi | Zendy; John C. Shelton | Zendy; Jing Yin | Zendy; Yen-Pei C. Chang | Zendy; Sandra Ott | Zendy; Li Zhang | Zendy; Yiju Zhao | Zendy; Braxton D. Mitchell | Zendy; Jeffery R. O’Connell | Zendy; Alan R. Shuldiner | Zendy

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Identification of Novel Candidate Genes for Type 2 Diabetes From a Genome-Wide Association Scan in the Old Order Amish

Author(s) -

Evadnie Rampersaud,

Coleen Damcott,

Mao Fu,

Haiqing Shen,

Patrick F. McArdle,

XiaoLian Shi,

John C. Shelton,

Jing Yin,

Yen-Pei C. Chang,

Sandra Ott,

Li Zhang,

Yiju Zhao,

Braxton D. Mitchell,

Jeffery R. O’Connell,

Alan R. Shuldiner

Publication year - 2007

Publication title -

diabetes

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.219

H-Index - 330

eISSN - 1939-327X

pISSN - 0012-1797

DOI - 10.2337/db07-0457

Subject(s) - single nucleotide polymorphism , type 2 diabetes , genome wide association study , genetics , snp , tcf7l2 , genetic association , population , biology , diabetes mellitus , medicine , genotype , endocrinology , gene , environmental health

We sought to identify type 2 diabetes susceptibility genes through a genome-wide association scan (GWAS) in the Amish.

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