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Recommended reading

Textbooks

Year Category Reference
2020 Statistical Genetics An Introduction to Statistical Genetic Data Analysis By Melinda C. Mills, Nicola Barban and Felix C. Tropf https://mitpress.mit.edu/books/introduction-statistical-genetic-data-analysis
2019 Statistical Genetics Handbook of Statistical Genomics: Fourth Edition https://onlinelibrary.wiley.com/doi/book/10.1002/9781119487845
2009 Statistical Analysis and Machine Learning The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)introduction-statistical-genetic-data-analysis. Trevor Hastie, Robert Tibshirani, Jerome Friedman. https://hastie.su.domains/ElemStatLearn/ (PDF book is available)

Overview Reviews

Year Reference Link
2021 Uffelmann, E., Huang, Q. Q., Munung, N. S., De Vries, J., Okada, Y., Martin, A. R., … & Posthuma, D. (2021). Genome-wide association studies. Nature Reviews Methods Primers, 1(1), 1-21. Pubmed
2019 Tam, V., Patel, N., Turcotte, M., Bossé, Y., Paré, G., & Meyre, D. (2019). Benefits and limitations of genome-wide association studies. Nature Reviews Genetics, 20(8), 467-484. Pubmed
2017 Pasaniuc, B., & Price, A. L. (2017). Dissecting the genetics of complex traits using summary association statistics. Nature reviews genetics, 18(2), 117-127. Pubmed
2023 Abdellaoui, A., Yengo, L., Verweij, K. J., & Visscher, P. M. (2023). 15 years of GWAS discovery: Realizing the promise. The American Journal of Human Genetics. Pubmed
2017 Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A., & Yang, J. (2017). 10 years of GWAS discovery: biology, function, and translation. The American Journal of Human Genetics, 101(1), 5-22. Pubmed
2005 Hirschhorn, J. N., & Daly, M. J. (2005). Genome-wide association studies for common diseases and complex traits. Nature reviews genetics, 6(2), 95-108. Pubmed
2006 Balding, D. J. (2006). A tutorial on statistical methods for population association studies. Nature reviews genetics, 7(10), 781-791. Pubmed
2008 McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J., & Hirschhorn, J. N. (2008). Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nature reviews genetics, 9(5), 356-369. Pubmed
2010 Price, A. L., Zaitlen, N. A., Reich, D., & Patterson, N. (2010). New approaches to population stratification in genome-wide association studies. Nature reviews genetics, 11(7), 459-463. Pubmed
2009 Ioannidis, J., Thomas, G., & Daly, M. J. (2009). Validating, augmenting and refining genome-wide association signals. Nature Reviews Genetics, 10(5), 318-329. Pubmed

Topic-specific

LD

Year Reference Link
2008 Slatkin, M. (2008). Linkage disequilibrium—understanding the evolutionary past and mapping the medical future. Nature Reviews Genetics, 9(6), 477-485. Pubmed

Imputation

Year Reference Link
2010 Marchini, J., & Howie, B. (2010). Genotype imputation for genome-wide association studies. Nature Reviews Genetics, 11(7), 499-511. Pubmed
2018 Das S, Abecasis GR, Browning BL. (2018). Genotype Imputation from Large Reference Panels. Annu. Rev. Genomics Hum. Genet. link

Heritability

Year Reference Link
2017 Yang, J., Zeng, J., Goddard, M. E., Wray, N. R., & Visscher, P. M. (2017). Concepts, estimation and interpretation of SNP-based heritability. Nature genetics, 49(9), 1304-1310. Pubmed
2009 Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., … & Visscher, P. M. (2009). Finding the missing heritability of complex diseases. Nature, 461 (7265), 747-753. Pubmed

Genetic correlation

Year Reference Link
2019 Van Rheenen, W., Peyrot, W. J., Schork, A. J., Lee, S. H., & Wray, N. R. (2019). Genetic correlations of polygenic disease traits: from theory to practice. Nature Reviews Genetics, 20(10), 567-581. Pubmed

Fine-mapping

Year Reference Link
2019 Schaid, D. J., Chen, W., & Larson, N. B. (2018). From genome-wide associations to candidate causal variants by statistical fine-mapping. Nature Reviews Genetics, 19(8), 491-504. Pubmed
2023 王 青波, ゲノムワイド関連解析のその先へ:統計的fine-mappingの基礎と発展, JSBi Bioinformatics Review, 2023, 4 巻, 1 号, p. 35-51 J-STAGE
### Polygenic risk scores
Year Reference Link
2022 Wang, Y., Tsuo, K., Kanai, M., Neale, B. M., & Martin, A. R. (2022). Challenges and opportunities for developing more generalizable polygenic risk scores. Annual review of biomedical data science. link
2020 Choi, S. W., Mak, T. S. H., & O’Reilly, P. F. (2020). Tutorial: a guide to performing polygenic risk score analyses. Nature protocols, 15(9), 2759-2772. Pubmed
2019 Martin, A. R., Kanai, M., Kamatani, Y., Okada, Y., Neale, B. M., & Daly, M. J. (2019). Clinical use of current polygenic risk scores may exacerbate health disparities. Nature genetics, 51(4), 584-591. Pubmed

Rare variants

Year Reference Link
2014 Lee, S., Abecasis, G. R., Boehnke, M., & Lin, X. (2014). Rare-variant association analysis: study designs and statistical tests. The American Journal of Human Genetics, 95(1), 5-23. Pubmed
2015 Auer, P. L., & Lettre, G. (2015). Rare variant association studies: considerations, challenges and opportunities. Genome medicine, 7(1), 1-11. Pubmed

Genetic architecture

Year Reference Link
2018 Timpson, N. J., Greenwood, C. M., Soranzo, N., Lawson, D. J., & Richards, J. B. (2018). Genetic architecture: the shape of the genetic contribution to human traits and disease. Nature Reviews Genetics, 19(2), 110-124. Pubmed

Useful Websites

Description Link
A Bioinformatician's UNIX Toolbox http://lh3lh3.users.sourceforge.net/biounix.shtml
Osaka university, Department of Statistical Genetics Homepage http://www.sg.med.osaka-u.ac.jp/school_2021.html
Genome analysis wiki (Abecasis Group Wiki) https://genome.sph.umich.edu/wiki/Main_Page
EPI 511, Advanced Population and Medical Genetics
(Alkes Price, Harvard School of Public Health)
https://alkesgroup.broadinstitute.org/EPI511
fiveMinuteStats
(Matthew Stephens, Statistics and Human Genetics at the University of Chicago)
https://stephens999.github.io/fiveMinuteStats
Course homepage and digital textbook for Human Genome Variation with Computational Lab https://mccoy-lab.github.io/hgv_modules/

和文

Year Category Reference
2015 Linux 新しいLinuxの教科書 単行本 – 2015/6/6 三宅 英明 (著), 大角 祐介 (著)
2012 統計解析(と少し機械学習) はじめてのパターン認識 単行本(ソフトカバー) – 2012/7/31 平井 有三 (著)
1991 統計解析(と少し機械学習) 統計学入門 (基礎統計学Ⅰ) 単行本 – 1991/7/9 東京大学教養学部統計学教室 (編集)
1992 統計解析(と少し機械学習) 自然科学の統計学 (基礎統計学) 単行本 – 1992/8/1 東京大学教養学部統計学教室 (編集)
2012 統計解析(と少し機械学習) データ解析のための統計モデリング入門――一般化線形モデル・階層ベイズモデル・MCMC (確率と情報の科学) 単行本 – 2012/5/19 久保 拓弥 (著)
2015 遺伝統計学全般 (基礎から発展まで) 遺伝統計学入門 (岩波オンデマンドブックス) オンデマンド (ペーパーバック) – 2015/12/10 鎌谷 直之 (著)
2020 遺伝統計学全般 (基礎から発展まで) 実験医学 2020年3月 Vol.38 No.4 GWASで複雑形質を解くぞ! 〜多因子疾患・形質のバイオロジーに挑む次世代のゲノム医科学 単行本 – 2020/2/23 鎌谷 洋一郎 (著)
2020 遺伝統計学全般 (基礎から発展まで) ゼロから実践する 遺伝統計学セミナー〜疾患とゲノムを結びつける 単行本 – 2020/3/13 岡田 随象 (著)
~ 遺伝統計学全般 (基礎から発展まで) 遺伝子医学 シリーズ企画 Statistical Genetics 〈遺伝統計学の基礎〉 - 鎌谷 洋一郎 + α