Human Genetics: Linkage analysis and disease genetics

Short Course, 31 July - 4 August 2017

Organized by Profs. Liping Wei, Peking University, Beijing, and Jurg Ott, Rockefeller University, New York, a short course on Genetic Linkage and Association Analysis will be held at Peking University. Instructors will be Profs. Marcella Devoto (University of Pennsylvania, Philadelphia USA), Dawei Li (University of Vermont, Burlington USA), Yaning Yang (University of Science and Technology of China, Hefei, Anhui), and Jurg Ott (Rockefeller University, New York USA). Supported by the School of Life Sciences at Peking University and an NSFC grant, project number 31470070 (JO). This course is restricted to members and affiliates of Peking University. Note that presentations by Yaning Yang will be given in Chinese.

Photos: Class1 Class2 Class3 Lunch1 Lunch2

Detailed information and application instructions may be obtained from Xiaoxu Yang (yangxx@mail.cbi.pku.edu.cn, Peking U, Beijing). Updated 16 May 2017.

Monday 31 July 2017

Morning

01 Lecture: Introduction to Linkage and Association Analysis (J. Ott)
02 Lecture: Gene mapping approaches for complex traits (J. Ott)

Afternoon

03 Lecture: SNP genotyping array and genome-wide association study (D. Li)
04 Exercise: Whole-genome SNP data processing using plink2 (D. Li)

Tuesday 1 August 2017

Morning

05 Lecture: Imputing unobserved variants (M. Devoto)
06 Exercise: Imputing unobserved variants (M. Devoto)

Afternoon

07Lecture: Copy number variation and detection methods (D. Li)
08 Exercise: CNV data processing using GenomeStudio and PennCNV (D. Li)

Wednesday 2 August 2017

Morning

09 Lecture: Polygenic risk scores (M. Devoto)
10 Exercise: Polygenic risk scores (M. Devoto)

Afternoon

11 Lecture: Meta-analysis in genetic association studies (D. Li)
12 Exercise: Meta-analysis from data collection to statistical tests (D. Li)

Thursday 3 August 2017

Morning

13 Lecture: Quantitative trait analysis (J. Ott)
14 Exercise: Analyzing mixture of two distributions (J. Ott)

Afternoon

15 Lecture: An introduction to Principal Component Analysis (Y. Yang; in Chinese)
16 Exercise: Apply PCA to genome data in R (Y. Yang; in Chinese)

Friday 4 August 2017

Morning

17 Lecture: Correcting for biases of marginal association tests by PCA and LD Score Regression method (Y. Yang; in Chinese)
18 Exercise: Implement Genomic Control, EIGENSTRAT and  LD score regression in R (Y. Yang; in Chinese)

Afternoon

19 Lecture:  Visualization of human genetic data by the stochastic neighbor embedding method (Y. Yang; in Chinese)