统计遗传学，基因组学，生物信息学

课题组主要致力于统计遗传学、多组学（如基因组、转录组、表观遗传组）研究以及人类复杂性状和疾病（如抑郁症、阿尔茨海默症、帕金森氏症、精神分裂症）的大数据分析。通过结合统计遗传学方法和组学大数据，祁婷博士在鉴定疾病易感基因及解析复杂性状和疾病的遗传调控机理等方面积累了丰富的研究经验。目前，课题组的主要研究方向包括但不限于如下几个方面：

1）在单细胞水平上进行分子表型(如基因表达， DNA甲基化)的遗传学研究，并探索其与复杂疾病的关联性；

2）多组学数据整合鉴定复杂疾病的治疗靶点和生物标记物；

3）统计遗传学分析方法和软件开发。

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2. Zhang R. #, Fang J. #, Qi T. # et al. Maternal aging drives offspring adult trait formation via aged mitochondria. Cell Research 33, 821-834 (2023) (#Co-first author; Cover story)

3. Qi T., Wu Y., Fang H., Zhang F., Liu S., Zeng J., Yang J. Genetic control of RNA splicing and its distinct role in complex trait variation. Nature Genetics 54, 1355-1363 (2022)

4. Wu Y.#, Qi T.#, Wang H., Zhang F., Zheng Z., Phillips-Cremins J.E., Deary I.J., McRae A.F., Wray N.R., Zeng J., Yang J. Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data. Nature Communications 11, 2061 (2020) (#Co-first author)

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6. Qi T., Cao Y., Cao L., Gao Y., Zhu S., Lou X., Xu H. Dissecting genetic architecture underlying seed trait in multiple environment. Genetics 199, 61-71 (2015)

7. Qi T., Jiang B., Zhu Z., Wei C., Gao Y., Zhu S., Xu H., Lou X. Mixed linear model approach for mapping quantitative trait loci underlying crop seed traits. Heredity 113, 224 (2014)

8. Trubetskoy V., Pardinas A., Qi T. et al. Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature 604, 502-508 (2022)

9. Sun X., Xue A., Qi T., Chen D., Shi D., Wu Y., Zheng Z., Zeng J., Yang J. Tumor mutational burden is polygenic and genetically associated with complex traits and diseases. Cancer Research 85, 1230-1239 (2021)

10. Jiang L., Zheng Z., Qi T., Kemper K., Wray N.R., Visscher P.M., Yang J. A resource-efficient tool for mixed model association analysis of large-scale data. Nature Genetics 51, 1749-1755 (2019)