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2014

C. Cruchaga, Karch, C. M., Jin, S. Chih, Benitez, B. A., Cai, Y., Guerreiro, R., Harari, O., Norton, J., Budde, J., Bertelsen, S., Jeng, A. T., Cooper, B., Skorupa, T., Carrell, D., Levitch, D., Hsu, S., Choi, J., Ryten, M., Sassi, C., Brás, J., Gibbs, R. J., Hernandez, D. G., Lupton, M. K., Powell, J., Forabosco, P., Ridge, P. G., Corcoran, C. D., Tschanz, J. A. T., Norton, M. C., Munger, R. G., Schmutz, C., Leary, M., F Demirci, Y., Bamne, M. N., Wang, X., Lopez, O. L., Ganguli, M., Medway, C., Turton, J., Lord, J., Braae, A., Barber, I., Brown, K., Pastor, P., Lorenzo-Betancor, O., Brkanac, Z., Scott, E., Topol, E., Morgan, K., Rogaeva, E., Singleton, A., Hardy, J., M Kamboh, I., St George-Hyslop, P., Cairns, N., Morris, J. C., Kauwe, J. S. K., and Goate, A. M., “Rare coding variants in the phospholipase D3 gene confer risk for Alzheimer's disease.”, Nature, vol. 505, no. 7484, pp. 550-554, 2014.

C. Cruchaga, Karch, C. M., Jin, S. Chih, Benitez, B. A., Cai, Y., Guerreiro, R., Harari, O., Norton, J., Budde, J., Bertelsen, S., Jeng, A. T., Cooper, B., Skorupa, T., Carrell, D., Levitch, D., Hsu, S., Choi, J., Ryten, M., Sassi, C., Brás, J., Gibbs, R. J., Hernandez, D. G., Lupton, M. K., Powell, J., Forabosco, P., Ridge, P. G., Corcoran, C. D., Tschanz, J. A. T., Norton, M. C., Munger, R. G., Schmutz, C., Leary, M., F Demirci, Y., Bamne, M. N., Wang, X., Lopez, O. L., Ganguli, M., Medway, C., Turton, J., Lord, J., Braae, A., Barber, I., Brown, K., Pastor, P., Lorenzo-Betancor, O., Brkanac, Z., Scott, E., Topol, E., Morgan, K., Rogaeva, E., Singleton, A., Hardy, J., M Kamboh, I., St George-Hyslop, P., Cairns, N., Morris, J. C., Kauwe, J. S. K., and Goate, A. M., “Rare coding variants in the phospholipase D3 gene confer risk for Alzheimer's disease.”, Nature, vol. 505, no. 7484, pp. 550-554, 2014.

P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.

P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.

P. Ryvkin, Leung, Y. Yee, Ungar, L. H., Gregory, B. D., and San Wang, L. -, “Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.”, Methods, vol. 67, no. 1, pp. 28-35, 2014.

2013

P. G. Ridge, Mukherjee, S., Crane, P. K., and Kauwe, J. S. K., “Alzheimer's disease: analyzing the missing heritability.”, PLoS One, vol. 8, no. 11, p. e79771, 2013.

P. G. Ridge, Mukherjee, S., Crane, P. K., and Kauwe, J. S. K., “Alzheimer's disease: analyzing the missing heritability.”, PLoS One, vol. 8, no. 11, p. e79771, 2013.

P. G. Ridge, Mukherjee, S., Crane, P. K., and Kauwe, J. S. K., “Alzheimer's disease: analyzing the missing heritability.”, PLoS One, vol. 8, no. 11, p. e79771, 2013.

P. G. Ridge, Mukherjee, S., Crane, P. K., and Kauwe, J. S. K., “Alzheimer's disease: analyzing the missing heritability.”, PLoS One, vol. 8, no. 11, p. e79771, 2013.

M. Thambisetty, An, Y., and Tanaka, T., “Alzheimer's disease risk genes and the age-at-onset phenotype.”, Neurobiol Aging, vol. 34, no. 11, pp. 2696.e1-5, 2013.

M. Thambisetty, An, Y., and Tanaka, T., “Alzheimer's disease risk genes and the age-at-onset phenotype.”, Neurobiol Aging, vol. 34, no. 11, pp. 2696.e1-5, 2013.

M. Thambisetty, An, Y., and Tanaka, T., “Alzheimer's disease risk genes and the age-at-onset phenotype.”, Neurobiol Aging, vol. 34, no. 11, pp. 2696.e1-5, 2013.

M. Thambisetty, An, Y., and Tanaka, T., “Alzheimer's disease risk genes and the age-at-onset phenotype.”, Neurobiol Aging, vol. 34, no. 11, pp. 2696.e1-5, 2013.

M. Thambisetty, An, Y., and Tanaka, T., “Alzheimer's disease risk genes and the age-at-onset phenotype.”, Neurobiol Aging, vol. 34, no. 11, pp. 2696.e1-5, 2013.

M. Thambisetty, An, Y., and Tanaka, T., “Alzheimer's disease risk genes and the age-at-onset phenotype.”, Neurobiol Aging, vol. 34, no. 11, pp. 2696.e1-5, 2013.

C. - F. Lin, Naj, A. C., and San Wang, L. -, “Analyzing copy number variation using SNP array data: protocols for calling CNV and association tests.”, Curr Protoc Hum Genet, vol. 79, p. Unit 1.27., 2013.

Y. Yee Leung, Ryvkin, P., Ungar, L. H., Gregory, B. D., and San Wang, L. -, “CoRAL: predicting non-coding RNAs from small RNA-sequencing data.”, Nucleic Acids Res, vol. 41, no. 14, p. e137, 2013.

Y. Yee Leung, Ryvkin, P., Ungar, L. H., Gregory, B. D., and San Wang, L. -, “CoRAL: predicting non-coding RNAs from small RNA-sequencing data.”, Nucleic Acids Res, vol. 41, no. 14, p. e137, 2013.

S. Barral, Cosentino, S., Costa, R., Andersen, S. L., Christensen, K., Eckfeldt, J. H., Newman, A. B., Perls, T. T., Province, M. A., Hadley, E. C., Rossi, W. K., and Mayeux, R., “Exceptional memory performance in the Long Life Family Study.”, Neurobiol Aging, vol. 34, no. 11, pp. 2445-8, 2013.

C. Cruchaga, Kauwe, J. S. K., Harari, O., Jin, S. Chih, Cai, Y., Karch, C. M., Benitez, B. A., Jeng, A. T., Skorupa, T., Carrell, D., Bertelsen, S., Bailey, M., McKean, D., Shulman, J. M., De Jager, P. L., Chibnik, L., Bennett, D. A., Arnold, S. E., Harold, D., Sims, R., Gerrish, A., Williams, J., Van Deerlin, V. M., Lee, V. M. - Y., Shaw, L. M., Trojanowski, J. Q., Haines, J. L., Mayeux, R., Pericak-Vance, M. A., Farrer, L. A., Schellenberg, G. D., Peskind, E. R., Galasko, D., Fagan, A. M., Holtzman, D. M., Morris, J. C., and Goate, A. M., “GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer's disease.”, Neuron, vol. 78, no. 2, pp. 256-68, 2013.

C. Cruchaga, Kauwe, J. S. K., Harari, O., Jin, S. Chih, Cai, Y., Karch, C. M., Benitez, B. A., Jeng, A. T., Skorupa, T., Carrell, D., Bertelsen, S., Bailey, M., McKean, D., Shulman, J. M., De Jager, P. L., Chibnik, L., Bennett, D. A., Arnold, S. E., Harold, D., Sims, R., Gerrish, A., Williams, J., Van Deerlin, V. M., Lee, V. M. - Y., Shaw, L. M., Trojanowski, J. Q., Haines, J. L., Mayeux, R., Pericak-Vance, M. A., Farrer, L. A., Schellenberg, G. D., Peskind, E. R., Galasko, D., Fagan, A. M., Holtzman, D. M., Morris, J. C., and Goate, A. M., “GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer's disease.”, Neuron, vol. 78, no. 2, pp. 256-68, 2013.

C. Cruchaga, Kauwe, J. S. K., Harari, O., Jin, S. Chih, Cai, Y., Karch, C. M., Benitez, B. A., Jeng, A. T., Skorupa, T., Carrell, D., Bertelsen, S., Bailey, M., McKean, D., Shulman, J. M., De Jager, P. L., Chibnik, L., Bennett, D. A., Arnold, S. E., Harold, D., Sims, R., Gerrish, A., Williams, J., Van Deerlin, V. M., Lee, V. M. - Y., Shaw, L. M., Trojanowski, J. Q., Haines, J. L., Mayeux, R., Pericak-Vance, M. A., Farrer, L. A., Schellenberg, G. D., Peskind, E. R., Galasko, D., Fagan, A. M., Holtzman, D. M., Morris, J. C., and Goate, A. M., “GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer's disease.”, Neuron, vol. 78, no. 2, pp. 256-68, 2013.

C. Cruchaga, Kauwe, J. S. K., Harari, O., Jin, S. Chih, Cai, Y., Karch, C. M., Benitez, B. A., Jeng, A. T., Skorupa, T., Carrell, D., Bertelsen, S., Bailey, M., McKean, D., Shulman, J. M., De Jager, P. L., Chibnik, L., Bennett, D. A., Arnold, S. E., Harold, D., Sims, R., Gerrish, A., Williams, J., Van Deerlin, V. M., Lee, V. M. - Y., Shaw, L. M., Trojanowski, J. Q., Haines, J. L., Mayeux, R., Pericak-Vance, M. A., Farrer, L. A., Schellenberg, G. D., Peskind, E. R., Galasko, D., Fagan, A. M., Holtzman, D. M., Morris, J. C., and Goate, A. M., “GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer's disease.”, Neuron, vol. 78, no. 2, pp. 256-68, 2013.

C. Cruchaga, Kauwe, J. S. K., Harari, O., Jin, S. Chih, Cai, Y., Karch, C. M., Benitez, B. A., Jeng, A. T., Skorupa, T., Carrell, D., Bertelsen, S., Bailey, M., McKean, D., Shulman, J. M., De Jager, P. L., Chibnik, L., Bennett, D. A., Arnold, S. E., Harold, D., Sims, R., Gerrish, A., Williams, J., Van Deerlin, V. M., Lee, V. M. - Y., Shaw, L. M., Trojanowski, J. Q., Haines, J. L., Mayeux, R., Pericak-Vance, M. A., Farrer, L. A., Schellenberg, G. D., Peskind, E. R., Galasko, D., Fagan, A. M., Holtzman, D. M., Morris, J. C., and Goate, A. M., “GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer's disease.”, Neuron, vol. 78, no. 2, pp. 256-68, 2013.

Y. - C. Hwang, Zheng, Q., Gregory, B. D., and San Wang, L. -, “High-throughput identification of long-range regulatory elements and their target promoters in the human genome.”, Nucleic Acids Res, vol. 41, no. 9, pp. 4835-46, 2013.