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University of Wisconsin–Madison

Lab members are highlighted in boldface
* junior author with equal contribution
† senior author with equal contribution


[15] Li B.*, Lu Q.*, Zhao H. Evaluations of different non-coding genome annotation tools through enrichment analysis of fifteen genome-wide association studies. (submitted)

[14] Lu Q., Li B., Ou D., Erlendsdottir M., Powles R., Jiang T., Hu Y., Chang D., Jin C., Dai W., He Q., Liu Z., Mukherjee S., Crane P., Zhao H. A powerful approach to estimating annotation-stratified genetic covariance using GWAS summary statistics. (submitted)

[13] Jin S.*, Homsy J.*, Zaidi S.*, Lu Q., Morton S., DePalma S., Zeng X., Qi H., Chang W., Hung W., Sierant M., Haider S., Zhang J., Knight J., Bjornson R., Castaldi C., Tikhonoa I., Bilguvar K., Mane S., Sanders S., Mital S., Russell M., Gaynor W., Deanfield J., Giardini A., Porter G., Srivastava D., Lo C., Shen Y., Watkins S., Yandell M., Yost J., Tristani-Firouzi M., Newburger J., Roberts A., Kim R., Zhao H., Kaltman J., Goldmuntz E., Chung W., Seidman J., Gelb B., Seidman C., Lifton R., Brueckner M. Contribution of rare transmitted and de novo variants among 2,871 congenital heart disease probands. (submitted)

[12] Lu Q.*, Powles R.*, Abdallah S., Ou D., Wang Q., Hu Y., Lu Y., Liu W., Li B., Mukherjee S., Crane P., Zhao H. (2017). Systematic tissue-specific functional annotation of the human genome highlights immune-related DNA elements for late-onset Alzheimer's disease. PLOS Genetics, 13(7): e1006933.

[11] Hu Y., Lu Q., Liu W., Zhang Y., Li M., Zhao H. (2017). Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction. PLOS Genetics, 13(6): e1006836.

[10] Hu Y.*, Lu Q.*, Powles R., Yao X., Yang C., Fang F., Xu X., Zhao H. (2017). Leveraging functional annotations in genetic risk prediction for human complex diseases. PLOS Computational Biology, 13(6): e1005589.

[9] Lu Q., Jin C., Sun J., Bowler R., Kechris K., Kaminski N., Zhao H. (2017). Post-GWAS prioritization through data integration provides novel insights on chronic obstructive pulmonary disease. Statistics in Biosciences, in press.

[8] Li M., Foli Y., Liu Z., Wang G., Hu Y., Lu Q., Selvaraj S., Lam W., Paintsil E. (2017). High frequency of mitochondrial DNA mutations in HIV-infected treatment-experienced individuals. HIV Medicine, 18(1), 45-55.

[7] Zhao B., Lu Q., Cheng Y., Belcher J., Siew E., Leaf D., Body S., Fox A., Waikar S., Collard C., Thiessen-Philbrook H., Ikizler T., Ware L., Edelstein C., Garg A., Choi M., Schaub J., Zhao H., Lifton R., Parikh C. for the TRIBE-AKI Consortium. (2017). A genome-wide association study to identify single nucleotide polymorphisms for acute kidney injury. American Journal of Respiratory and Critical Care Medicine, 195(4), 482-490.


[6] Timberlake A., Choi J., Zaidi S., Lu Q., Nelson-Williams C., Brooks E., Bilguvar K., Tikhonova I., Mane S., Yang J., Sawh-Martinez R., Persing S., Zellner E., Loring E., Chuang C., Galm A., Hashim P., Steinbacher D., DiLuna M., Duncan C., Pelphrey K., Zhao H., Persing J., Lifton R. (2016). Two locus inheritance of non-syndromic midline craniosynostosis via rare SMAD6 and common BMP2 alleles. eLife, 5: e20125.

[5] Lu Q.*, Powles R.*, Wang Q., He B., Zhao H. (2016). Integrative tissue-specific functional annotations in the human genome provide novel insights on many complex traits and improve signal prioritization in genome wide association studies. PLOS Genetics, 12(4): e1005947.

[4] Lu Q., Yao X., Hu Y., Zhao H. (2016). GenoWAP: GWAS signal prioritization through integrated analysis of genomic functional annotation. Bioinformatics, 32(4), 542-548.

2013 – 2015

[3] Lu Q., Hu Y., Sun J., Cheng Y., Cheung K., Zhao H. (2015). A statistical framework to predict functional non-coding regions in the human genome through integrated analysis of annotation data. Scientific Reports, 5, 10576.

[2] Wang Q.*, Lu Q.*, Zhao H. (2015). A review of study designs and statistical methods for genomic epidemiology studies using next generation sequencing. Frontiers in Genetics, 6:149.

[1] Lu Q., Ren S., Lu M., Zhang Y., Zhu D., Zhang X., Li T. (2013). Computational prediction of associations between long non-coding RNAs and proteins. BMC Genomics, 14(1), 651.