Haematologica (Oct 2019)

Pathogenic mutations identified by a multimodality approach in 117 Japanese Fanconi anemia patients

  • Minako Mori,
  • Asuka Hira,
  • Kenichi Yoshida,
  • Hideki Muramatsu,
  • Yusuke Okuno,
  • Yuichi Shiraishi,
  • Michiko Anmae,
  • Jun Yasuda,
  • Shu Tadaka,
  • Kengo Kinoshita,
  • Tomoo Osumi,
  • Yasushi Noguchi,
  • Souichi Adachi,
  • Ryoji Kobayashi,
  • Hiroshi Kawabata,
  • Kohsuke Imai,
  • Tomohiro Morio,
  • Kazuo Tamura,
  • Akifumi Takaori-Kondo,
  • Masayuki Yamamoto,
  • Satoru Miyano,
  • Seiji Kojima,
  • Etsuro Ito,
  • Seishi Ogawa,
  • Keitaro Matsuo,
  • Hiromasa Yabe,
  • Miharu Yabe,
  • Minoru Takata

DOI
https://doi.org/10.3324/haematol.2018.207241
Journal volume & issue
Vol. 104, no. 10

Abstract

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Fanconi anemia is a rare recessive disease characterized by multiple congenital abnormalities, progressive bone marrow failure, and a predisposition to malignancies. It results from mutations in one of the 22 known FANC genes. The number of Japanese Fanconi anemia patients with a defined genetic diagnosis was relatively limited. In this study, we reveal the genetic subtyping and the characteristics of mutated FANC genes in Japan and clarify the genotype-phenotype correlations. We studied 117 Japanese patients and successfully subtyped 97% of the cases. FANCA and FANCG pathogenic variants accounted for the disease in 58% and 25% of Fanconi anemia patients, respectively. We identified one FANCA and two FANCG hot spot mutations, which are found at low percentages (0.04-0.1%) in the whole-genome reference panel of 3,554 Japanese individuals (Tohoku Medical Megabank). FANCB was the third most common complementation group and only one FANCC case was identified in our series. Based on the data from the Tohoku Medical Megabank, we estimate that approximately 2.6% of Japanese are carriers of disease-causing FANC gene variants, excluding missense mutations. This is the largest series of subtyped Japanese Fanconi anemia patients to date and the results will be useful for future clinical management.