Similar articles for PMID: 24114349

Year	Number of Results
2007	2
2008	1
2009	7
2010	14
2011	8
2012	12
2013	10
2014	9
2015	8
2016	8
2017	6
2018	6
2019	5
2020	5
2021	4
2022	5
2023	2
2024	2

1

On individual genome-wide association studies and their meta-analysis.

Pei YF, Zhang L, Papasian CJ, Wang YP, Deng HW. Pei YF, et al. Hum Genet. 2014 Mar;133(3):265-79. doi: 10.1007/s00439-013-1366-4. Epub 2013 Oct 11. Hum Genet. 2014. PMID: 24114349 Free PMC article.

2

SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes.

Mägi R, Suleimanov YV, Clarke GM, Kaakinen M, Fischer K, Prokopenko I, Morris AP. Mägi R, et al. BMC Bioinformatics. 2017 Jan 11;18(1):25. doi: 10.1186/s12859-016-1437-3. BMC Bioinformatics. 2017. PMID: 28077070 Free PMC article.

3

Suicidal Ideation.

Harmer B, Lee S, Duong TVH, Saadabadi A. Harmer B, et al. 2024 Feb 5. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan–. 2024 Feb 5. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan–. PMID: 33351435 Free Books & Documents.

4

Prediction of cardiovascular disease outcomes and established cardiovascular risk factors by genome-wide association markers.

Ioannidis JP. Ioannidis JP. Circ Cardiovasc Genet. 2009 Feb;2(1):7-15. doi: 10.1161/CIRCGENETICS.108.833392. Epub 2009 Jan 23. Circ Cardiovasc Genet. 2009. PMID: 20031562 Review.

5

Genome-wide association study meta-analysis identifies three novel loci for circulating anti-Müllerian hormone levels in women.

Verdiesen RMG, van der Schouw YT, van Gils CH, Verschuren WMM, Broekmans FJM, Borges MC, Gonçalves Soares AL, Lawlor DA, Eliassen AH, Kraft P, Sandler DP, Harlow SD, Smith JA, Santoro N, Schoemaker MJ, Swerdlow AJ, Murray A, Ruth KS, Onland-Moret NC. Verdiesen RMG, et al. Hum Reprod. 2022 May 3;37(5):1069-1082. doi: 10.1093/humrep/deac028. Hum Reprod. 2022. PMID: 35274129 Free PMC article.

6

On genome-wide association studies and their meta-analyses: lessons learned from osteoporosis studies.

Liu YJ, Zhang L, Pei Y, Papasian CJ, Deng HW. Liu YJ, et al. J Clin Endocrinol Metab. 2013 Jul;98(7):E1278-82. doi: 10.1210/jc.2013-1637. Epub 2013 Jun 19. J Clin Endocrinol Metab. 2013. PMID: 23783100 Free PMC article.

7

Discovery properties of genome-wide association signals from cumulatively combined data sets.

Pereira TV, Patsopoulos NA, Salanti G, Ioannidis JP. Pereira TV, et al. Am J Epidemiol. 2009 Nov 15;170(10):1197-206. doi: 10.1093/aje/kwp262. Epub 2009 Oct 6. Am J Epidemiol. 2009. PMID: 19808636 Free PMC article.

8

The power of meta-analysis in genome-wide association studies.

Panagiotou OA, Willer CJ, Hirschhorn JN, Ioannidis JP. Panagiotou OA, et al. Annu Rev Genomics Hum Genet. 2013;14:441-65. doi: 10.1146/annurev-genom-091212-153520. Epub 2013 May 24. Annu Rev Genomics Hum Genet. 2013. PMID: 23724904 Free PMC article. Review.

9

Meta-analysis of genetic association studies: methodologies, between-study heterogeneity and winner's curse.

Nakaoka H, Inoue I. Nakaoka H, et al. J Hum Genet. 2009 Nov;54(11):615-23. doi: 10.1038/jhg.2009.95. Epub 2009 Oct 23. J Hum Genet. 2009. PMID: 19851339 Review.

10

Genome-wide association approaches for identifying loci for human height genes.

Perola M. Perola M. Best Pract Res Clin Endocrinol Metab. 2011 Feb;25(1):19-23. doi: 10.1016/j.beem.2010.10.013. Best Pract Res Clin Endocrinol Metab. 2011. PMID: 21396572

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