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For: Bien SA, Wojcik GL, Hodonsky CJ, Gignoux CR, Cheng I, Matise TC, Peters U, Kenny EE, North KE. The Future of Genomic Studies Must Be Globally Representative: Perspectives from PAGE. Annu Rev Genomics Hum Genet 2019;20:181-200. [PMID: 30978304 DOI: 10.1146/annurev-genom-091416-035517] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Bowling KM, Thompson ML, Finnila CR, Hiatt SM, Latner DR, Amaral MD, Lawlor JMJ, East KM, Cochran ME, Greve V, Kelley WV, Gray DE, Felker SA, Meddaugh H, Cannon A, Luedecke A, Jackson KE, Hendon LG, Janani HM, Johnston M, Merin LA, Deans SL, Tuura C, Williams H, Laborde K, Neu MB, Patrick-Esteve J, Hurst ACE, Kandasamy J, Carlo W, Brothers KB, Kirmse BM, Savich R, Superneau D, Spedale SB, Knight SJ, Barsh GS, Korf BR, Cooper GM. Genome sequencing as a first-line diagnostic test for hospitalized infants. Genet Med 2021:S1098-3600(21)05400-9. [PMID: 34930662 DOI: 10.1016/j.gim.2021.11.020] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Shaw P. Editorial: Polygenic Risk Scores in Child Psychiatry, Research Promise, and Potential Clinical Pitfalls. J Am Acad Child Adolesc Psychiatry 2021:S0890-8567(21)01926-2. [PMID: 34695568 DOI: 10.1016/j.jaac.2021.10.010] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Pinzon Cortes JA, El-Osta A. Distinguishable DNA methylation defines disease susceptibility influenced by race and ethnicity. Clin Epigenetics 2021;13:189. [PMID: 34635160 DOI: 10.1186/s13148-021-01180-9] [Reference Citation Analysis]
4 Atkinson EG, Maihofer AX, Kanai M, Martin AR, Karczewski KJ, Santoro ML, Ulirsch JC, Kamatani Y, Okada Y, Finucane HK, Koenen KC, Nievergelt CM, Daly MJ, Neale BM. Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power. Nat Genet 2021;53:195-204. [PMID: 33462486 DOI: 10.1038/s41588-020-00766-y] [Cited by in Crossref: 8] [Cited by in F6Publishing: 26] [Article Influence: 8.0] [Reference Citation Analysis]
5 Biddanda A, Rice DP, Novembre J. A variant-centric perspective on geographic patterns of human allele frequency variation. Elife 2020;9:e60107. [PMID: 33350384 DOI: 10.7554/eLife.60107] [Cited by in Crossref: 3] [Cited by in F6Publishing: 12] [Article Influence: 1.5] [Reference Citation Analysis]
6 Green ED, Gunter C, Biesecker LG, Di Francesco V, Easter CL, Feingold EA, Felsenfeld AL, Kaufman DJ, Ostrander EA, Pavan WJ, Phillippy AM, Wise AL, Dayal JG, Kish BJ, Mandich A, Wellington CR, Wetterstrand KA, Bates SA, Leja D, Vasquez S, Gahl WA, Graham BJ, Kastner DL, Liu P, Rodriguez LL, Solomon BD, Bonham VL, Brody LC, Hutter CM, Manolio TA. Strategic vision for improving human health at The Forefront of Genomics. Nature 2020;586:683-92. [PMID: 33116284 DOI: 10.1038/s41586-020-2817-4] [Cited by in Crossref: 41] [Cited by in F6Publishing: 71] [Article Influence: 20.5] [Reference Citation Analysis]
7 Bowling KM, Thompson ML, Gray DE, Lawlor JMJ, Williams K, East KM, Kelley WV, Moss IP, Absher DM, Partridge EC, Hurst ACE, Edberg JC, Barsh GS, Korf BR, Cooper GM. Identifying rare, medically relevant variation via population-based genomic screening in Alabama: opportunities and pitfalls. Genet Med 2021;23:280-8. [PMID: 32989269 DOI: 10.1038/s41436-020-00976-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
8 Bentley AR, Callier SL, Rotimi CN. Evaluating the promise of inclusion of African ancestry populations in genomics. NPJ Genom Med 2020;5:5. [PMID: 32140257 DOI: 10.1038/s41525-019-0111-x] [Cited by in Crossref: 23] [Cited by in F6Publishing: 38] [Article Influence: 11.5] [Reference Citation Analysis]
9 Mostafavi H, Harpak A, Agarwal I, Conley D, Pritchard JK, Przeworski M. Variable prediction accuracy of polygenic scores within an ancestry group. Elife 2020;9:e48376. [PMID: 31999256 DOI: 10.7554/eLife.48376] [Cited by in Crossref: 69] [Cited by in F6Publishing: 90] [Article Influence: 34.5] [Reference Citation Analysis]
10 Jerves T, Beaton A, Kruszka P. The genetic workup for structural congenital heart disease. Am J Med Genet C Semin Med Genet 2020;184:178-86. [PMID: 31833661 DOI: 10.1002/ajmg.c.31759] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
11 Best LG, Balakrishnan P, Cole SA, Haack K, Kocarnik JM, Pankratz N, Anderson MZ, Franceschini N, Howard BV, Lee ET, North KE, Umans JG, Yracheta JM, Navas-Acien A, Voruganti VS. Genetic analysis of hsCRP in American Indians: The Strong Heart Family Study. PLoS One 2019;14:e0223574. [PMID: 31622379 DOI: 10.1371/journal.pone.0223574] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]