GWAS of Follicular Lymphoma Reveals Allelic Heterogeneity at 6p21.32 and Suggests Shared Genetic Susceptibility with Diffuse Large B-cell Lymphoma
2011

Genetic Study of Follicular Lymphoma

Sample size: 1428 publication 10 minutes Evidence: high

Author Information

Author(s): Karin E. Smedby, Foo Jia Nee, Skibola Christine F., Darabi Hatef, Conde Lucia, Hjalgrim Henrik, Kumar Vikrant, Chang Ellen T., Rothman Nathaniel, Cerhan James R., Brooks-Wilson Angela R., Rehnberg Emil, Irwan Ishak D., Ryder Lars P., Brown Peter N., Bracci Paige M., Agana Luz, Riby Jacques, Cozen Wendy, Davis Scott, Hartge Patricia, Morton Lindsay M., Severson Richard K., Wang Sophia S., Slager Susan L., Fredericksen Zachary S., Novak Anne J., Kay Neil E., Habermann Thomas M., Armstrong Bruce, Kricker Anne, Milliken Sam, Purdue Mark P., Vajdic Claire M., Boyle Peter, Lan Qing, Zahm Shelia H., Zhang Yawei, Zheng Tongzhang, Leach Stephen, Spinelli John J., Smith Martyn T., Chanock Stephen J., Padyukov Leonid, Alfredsson Lars, Klareskog Lars, Glimelius Bengt, Melbye Mads, Liu Edison T., Adami Hans-Olov, Humphreys Keith, Liu Jianjun

Hypothesis

Is there a genetic association between specific SNPs in the HLA region and the risk of follicular lymphoma?

Conclusion

The study identifies a second independent genetic marker associated with follicular lymphoma risk and suggests shared genetic susceptibility with diffuse large B-cell lymphoma.

Supporting Evidence

  • The study identified a second independent FL-associated locus on 6p21.32.
  • Associations at two SNPs remained genome-wide significant after mutual adjustment.
  • The findings suggest a complex role of the HLA class II region in NHL susceptibility.

Takeaway

Scientists found a new gene that can help explain why some people get a type of blood cancer called follicular lymphoma, and it might also be linked to another type of cancer.

Methodology

A three-stage genome-wide association study was conducted with 1,428 follicular lymphoma cases and 6,581 controls.

Potential Biases

Potential biases may arise from population stratification and selection of control groups.

Limitations

The study may not capture all genetic variants due to sample size limitations in earlier stages.

Participant Demographics

Participants included individuals from Denmark, Sweden, the US, Canada, and Australia.

Statistical Information

P-Value

2×10−21

Confidence Interval

0.64 (0.58–0.70)

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pgen.1001378

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