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Frontiers of Medicine

ISSN 2095-0217

ISSN 2095-0225(Online)

CN 11-5983/R

Postal Subscription Code 80-967

2018 Impact Factor: 1.847

Front Med    2012, Vol. 6 Issue (4) : 444-450    https://doi.org/10.1007/s11684-012-0225-3
COMMENTARY
Genome-wide association studies: inherent limitations and future challenges
Yan Du, Jiaxin Xie, Wenjun Chang, Yifang Han, Guangwen Cao()
Department of Epidemiology, Second Military Medical University, Shanghai 200433, China
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Abstract

Genome-wide association studies (GWAS) have achieved great success in identifying genetic variants related to complex human diseases such as cancer and have provided valuable insights into their genetic architecture. Recently, GWAS is quite the fashion in China. However, there are issues related to its nature. Enormous work needs to be done in the post-GWAS era. Deep sequencing followed by functional studies will be needed to elucidate the underpinning biological mechanisms and further translate GWAS findings into medical practice. Along with pharmacogenomics, the success of GWAS in identifying genetic risk factors and genetic differences in drug response has been gradually enabling personalized medicine. In this article, we used hepatocellular carcinoma (HCC) as an example to demonstrate some of the inherent limitations and summarized future challenges of GWAS.

Keywords genome-wide association studies (GWAS)      genetic variant      cancer      limitation      challenge     
Corresponding Author(s): Cao Guangwen,Email:gcao@smmu.edu.cn   
Issue Date: 05 December 2012
 Cite this article:   
Yan Du,Jiaxin Xie,Wenjun Chang, et al. Genome-wide association studies: inherent limitations and future challenges[J]. Front Med, 2012, 6(4): 444-450.
 URL:  
https://academic.hep.com.cn/fmd/EN/10.1007/s11684-012-0225-3
https://academic.hep.com.cn/fmd/EN/Y2012/V6/I4/444
Author [year] [reference]Cancer typeSample size (cases vs. controls)Locus/lociMain findings (OR, 95%CIs or P)
Zhang H [2010] [2]Hepatocellular carcinoma (HCC)Stage 1: 355 chronic HBV carriers w/ HCC vs. 360 chronic HBV carriers w/o HCCConfirmation Stage: 1 962 w/ HCC vs. 1 430 controls and 159 family triosKIF1B(1p36.22): rs17401966 (intronic)Joint OR= 0.61, P = 1.7 × 10-18
Chan KY [2011] [3]Hepatocellular carcinoma (HCC)Stage 1: 95 HBV-infected HCC vs. 97 HBV-infected w/o HCCValidation Stage: 500 vs. 7288p12: rs12682266, rs7821974, rs2275959, rs1573266OR(combined) = 1.31–1.39; P(combined) = 2.71 × 10-5 to 5.19 × 10-4; PAR(combined) = 26%-31%
Abnet CC [2010] [4]Gastric adenocarcinoma & esophageal squamous cell carcinoma (ESCC)2 240 gastric cancer cases,2 115 ESCC cases and 3 302 controlsPLCE1(10q23): rs2274223 (non-synonymous)Gastric cancer (per-allele OR= 1.31, P = 8.40 × 10-9)ESCC (OR= 1.34, P = 3.85 × 10-9)
Wang LD [2010] [5]Esophageal squamous cell carcinoma (ESCC) &gastric cardia adenocarcinoma (GCA)ESCCStage 1: 1 077 vs. 1 733;Stage 2: 7 673 vs. 11 013 (Han) & 303 vs. 537 (Uygur-Kazakh)GCA2 766 vs. 11 013PLCE1 (10q23);C20orf54 (20p13).P(Han combined for ESCC) = 7.46 × 10-56, OR= 1.43; P(Uygur-Kazakh for ESCC) = 5.70 × 10-4, OR= 1.53;P(Han combined for ESCC) = 1.21 × 10-11, OR= 0.86; P(Uygur-Kazakh for ESCC) = 7.88 × 10-3, OR= 0.66.P(Han for GCA) = 1.74 × 10-39, OR= 1.55P(Han for GCA) = 3.02 × 10-3, OR= 0.91
Wu C [2011] [6]Esophageal squamous-cell carcinoma (ESCC)Stage 1: 2 031 vs. 2 044;Stage 2: 6 276 vs. 6 1655q11, 6p21, 10q23, 12q24 and 21q22P = 7.48 × 10-12 to P = 2.44 × 10-31
Shi Y [2011] [7]Non-cardia gastric cancerStage 1: 1 006 vs. 2 273;Stage 2: 3 288 vs. 3 6095p13.1 / PTGER4 & PRKAA1: rs13361707;3q13.31 / ZBTB20: rs9841504OR= 1.41, P = 7.6 × 10-29OR= 0.76, P = 1.7 × 10-9
Bei JX [2010] [8]Nasopharyngeal carcinoma (NPC)Stage 1: 1 583 vs. 1 894;Stage 2: 3 507 vs. 3 063;279 triosTNFRSF19(13q12): rs9510787;MDS1-EVI1(3q26): rs6774494;CDKN2A-CDKN2B gene cluster (9p21): rs1412829;HLA: rs2860580, rs2894207, rs28421666OR= 1.20, P(combined) = 1.53 × 10-9OR= 0.84, P(combined) = 1.34 × 10-8OR= 0.78, P(combined) = 4.84 × 10-7OR= 0.58, P(combined) = 4.88 × 10-67OR= 0.61, P(combined) = 3.42 × 10-33OR= 0.67, P(combined) = 2.49 × 10-18
Hu Z [2011] [9]Lung cancerStage 1: 2 331 vs. 3 077;Stage 2: 6 313 vs. 6 409TP63(3q28): rs4488809;TERT-CLPTM1L(5p15.33): rs465498, rs2736100;MIPEP-TNFRSF19(13q12.12): rs753955;MTMR3-HORMAD2-LIF(22q12.2): rs17728461, rs36600P = 7.2 × 10-26;P = 1.2 × 10-20, P = 1.0 × 10-27;P = 1.5 × 10-12;P = 1.1 × 10-11,P = 6.2 × 10-13
Wu C [2012] [10]Pancreatic cancerStage 1: 981 vs. 1 991;Stage 2: 2 603 vs. 2 87721q21.3, 5p13.1, 21q22.3, 22q13.32 and 10q26.11P = 2.24 × 10-13 to P = 4.18 × 10-10
Long J [2012] [1]Endometrial cancerStage 1: 832 vs. 2 682;Stage 2: 1 265 vs. 5 190;Stage 3a: 459 vs. 558;Stage 3b: 5 936 vs. 8 166near CAPN9(1q42.2): rs1202524OR= 1.09 (95% CI: 1.03-1.16) for the A/G genotype,OR= 1.17 (95% CI: 1.05-1.30) for the G/G genotype,P(combined) = 1.6 × 10-4
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