Researching Genetic Versus Nongenetic Determinants of Disease: A Comparison and Proposed Unification

被引：61

作者：

Ioannidis, John P. A. ^{[1
,2
,3
]}

Loy, En Yun ^{[4
]}

Poulton, Richie ^{[5
]}

Chia, Kee Seng ^{[4
,6
,7
]}

机构：

[1] Univ Ioannina, Sch Med, Clin & Mol Epidemiol Unit, Dept Hyg & Epidemiol, GR-45110 Ioannina, Greece

[2] Tufts Univ, Sch Med, Dept Med, Ctr Genet Epidemiol & Modeling,Tufts Med Ctr, Boston, MA 02111 USA

[3] Fdn Res & Technol Hellas, Biomed Res Inst, Ioannina, Greece

[4] Natl Univ Singapore, Ctr Mol Epidemiol, Singapore 117548, Singapore

[5] Univ Otago, Dunedin Sch Med, Dunedin, New Zealand

[6] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Epidemiol & Publ Hlth, Singapore 117595, Singapore

[7] Karolinska Inst, Dep Med Epidemiol & Biostat, S-10401 Stockholm, Sweden

来源：

SCIENCE TRANSLATIONAL MEDICINE | 2009年 / 1卷 / 07期

关键词：

GENOME-WIDE ASSOCIATION; CANCER; EPIDEMIOLOGY; RISK; VEGETABLES; OBESITY; FRUITS;

D O I：

10.1126/scitranslmed.3000247

中图分类号：

Q2 [细胞生物学];

学科分类号：

071013 [干细胞生物学];

摘要：

Research standards deviate in genetic versus nongenetic epidemiology. Besides some immutable differences, such as the correlation pattern between variables, these divergent research standards can converge considerably. Current research designs that dissociate genetic and nongenetic measurements are reaching their limits. Studies are needed that massively measure genotypes, nongenetic exposures, and outcomes concurrently.

引用

页数：6

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