Chinese Medical Sciences Journal ›› 2010, Vol. 25 ›› Issue (2): 105-108.doi: 10.1016/S1001-9294(10)60031-4

• Original Article • Previous Articles     Next Articles

Association between the Epidermal Growth Factor Gene and Intelligence in Major Depression Patients

Wen-min Tian1, Ke-rang Zhang2, Juan Zhang1, Yan Shen1, and Qi Xu1*   

  1. 1National Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China 2Department of Psychiatry, the First Hospital of Shanxi Medical University,
  • Received:2010-05-05 Online:2010-06-10 Published:2010-06-10
  • About author:Tel: 86-10-65296432

Abstract: Objective To study the association between the epidermal growth factor (EGF) gene and intelligence in patients with major depression. Methods Intelligence measurement using Wechsler Adult Intelligence Scale (WAIS) was perfor- med on 120 unrelated patients with major depression and 46 control subjects. Blood was collected from all subjects for extraction of genomic DNA. Four single nucleotide polymorphisms (SNPs) in the EGF gene were genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI- TOF-MS). Results Mean scores of both score lang and score task, two subtests in WAIS, differed significantly between major depression patients and controls (P<0.0001). Quantitative trait analysis showed that the genetype of rs2250724 was closely associated with score lang and score task in major depression patients. The associations were still significant after 10 000 permutations. Conclusions Although preliminary, our results provide evidence for association between the EGF gene and intelligence in patients with major depression. Genetic variation in the EGF gene may increase the susceptibility of major depression.

Key words: epidermal growth factor, intelligence, major depression


Supported by National High Technology Research and Development Program of China (863 Program) (2006AA02A407), National Basic Research Program of China (973 Program) (2010CB529603), and Beijing Natural Science Foundation (7102109)

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