HRS Bibliography

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Journal Article

Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract