Publications by authors named "Y Tanigawa"

Article Synopsis
  • * The study introduces "hypometric genetics" (hMG) analysis, revealing a significant genetic basis for BLQ flags, which represent an additional genetic signal useful for discovering associations related to extreme phenotypes.
  • * Analysis of data from 227,469 UK Biobank individuals shows over 5% heritability for BLQ flags, with strong associations found at key genetic loci, demonstrating the effectiveness of combining BLQ flags with quantitative measurements to enhance genetic research insights.
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Dominance heritability in complex traits has received increasing recognition. However, most polygenic score (PGS) approaches do not incorporate non-additive effects. Here, we present GenoBoost, a flexible PGS modeling framework capable of considering both additive and non-additive effects, specifically focusing on genetic dominance.

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Primary carcinoma of the duodenum, especially mucinous carcinoma of the duodenum, is extremely rare. We present a case of a long-term response to chemotherapy in mucinous carcinoma of the duodenum with multiple distant metastases. A 60-year-old man was admitted to our hospital with epigastric pain and jaundice.

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Rationale: Duodenal ulcer bleeding is a potentially life-threatening condition commonly caused by the erosion of the duodenal arteries.

Patient Concerns: A 55-year-old male was referred to our hospital with abdominal pain for the past 3 days. Contrast-enhanced computed tomography of the abdomen revealed wall thickening in the descending part of the duodenum and a cystic lesion (27 × 19 mm) contiguous with the duodenum, with an accumulation of fluid.

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Admixed individuals offer unique opportunities for addressing limited transferability in polygenic scores (PGSs), given the substantial trans-ancestry genetic correlation in many complex traits. However, they are rarely considered in PGS training, given the challenges in representing ancestry-matched linkage-disequilibrium reference panels for admixed individuals. Here we present inclusive PGS (iPGS), which captures ancestry-shared genetic effects by finding the exact solution for penalized regression on individual-level data and is thus naturally applicable to admixed individuals.

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