• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 2
  • Tagged with
  • 3
  • 3
  • 2
  • 2
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Definition of mechanisms of mutation generation in tissues and embryonic stem cellsof the constitutive Fhit knockout mouse

Paisie, Carolyn Anne 09 October 2015 (has links)
No description available.
2

Frequent germline mutations of HAVCR2 in sporadic subcutaneous panniculitis-like T-cell lymphoma / 孤発例の皮下脂肪織炎様T細胞リンパ腫でも高頻度でHAVCR2の胚細胞変異を認める

Takeuchi, Yasuhide 23 March 2020 (has links)
京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第22341号 / 医博第4582号 / 新制||医||1042(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 髙折 晃史, 教授 羽賀 博典, 教授 伊藤 貴浩 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM
3

Analysis of Whole Exome Sequence Data in Affected Cousin Pairs from High-Risk Alzheimer's Pedigrees

Staley, Lyndsay Ann 01 April 2018 (has links)
Genetic factors account for about half of Alzheimers Disease (AD) risk and only about a quarter of that heritability is accounted for by known variants. Family based approaches to understanding AD genetics may be an effective way to identify additional risk factors. Here we report the results of whole exome sequencing (WES) and analyses done on pairs of AD affected cousins from 19 families from the Utah Population Database (UPDB) with a statistical excess of AD risk. WES variants passing quality control were additionally filtered by population frequency (minor allele <<> 0.01) and concordance between cousin pairs, resulting in 564 variants shared by at least one pair of cousins. For each of these variants we conducted in depth annotations using Ingenuity Variant Analysis (IVA), Wellderly Data Allele Frequencies, and literature searches. To further aid in variant prioritization we analyzed each variant for association with Age at Onset of AD, AD Risk, CSF AB42, CSF Tau, CSF PTau and Rate of Disease Decline in data from the Alzheimers Disease Genetics Consortium (ADGC) and from the Knight Alzheimers disease research center. Statistical analyses were conducted using PLINK. Twelve variants (rs201665195, rs28933981, rs148294193, rs147599881, rs61729902, rs140129800, rs191804178, rs200290640, rs199752248, rs45541434, rs141402160 and rs140914494) in eight genes (ABCA7, TTR, PELI3, FCHO1, SNAP91, COX6A2, MUC16, PIDD1, SYT5 and NOTCH3) were prioritized using a clear pipeline of IVA filters and the additional analysis information. We propose that these genes and variants are the most interesting for follow-up based on current knowledge.This family-based approach to finding rare AD variants adds to a growing body of research suggesting a role for NOTCH3 in late-onset AD. This approach replicated two known AD risk variants and also implicated novel putative risk AD variants and genes. These results suggest that further application of this method of using pairs of cousins may result in additional insights into AD genetics and the ability to find novel rare, causal AD variants.

Page generated in 0.0712 seconds