High-depth African genomes inform human migration and health

References 85

1. 1.

   Nielsen R, et al. Tracing the peopling of the world through genomics. Nature. 2017;541:302-310.

   Not in our library10.1038/nature21347

2. 2.

   The 1000 Genomes Project Consortium. A global reference for human genetic variation. Nature. 2015;526:68-74.

   Not in our library10.1038/nature15393

3. 3.

   Tishkoff SA, et al. The genetic structure and history of Africans and African Americans. Science. 2009;324:1035-1044.

   Not in our library10.1126/science.1172257

4. 4.

   Gurdasani D, et al. The African Genome Variation Project shapes medical genetics in Africa. Nature. 2015;517:327-332.

   Not in our library10.1038/nature13997

5. 5.
   Analysis of protein-coding genetic variation in 60,706 humans · 2016

   No notice
6. 6.

   Posey JE, et al. Insights into genetics, human biology and disease gleaned from family based genomic studies. Genet. Med. 2019;21:798-812.

   Not in our library10.1038/s41436-018-0408-7

7. 7.

   Landry LG, Ali N, Williams DR, Rehm HL, Bonham VL. Lack of diversity in genomic databases is a barrier to translating precision medicine research into practice. Health Aff. 2018;37:780-785.

   Not in our library10.1377/hlthaff.2017.1595

8. 8.

   H3Africa Consortium. Enabling the genomic revolution in Africa. Science. 2014;344:1345-1346.

   Not in our library10.1126/science.1251546

9. 9.

   Patin E, et al. Dispersals and genetic adaptation of Bantu-speaking populations in Africa and North America. Science. 2017;356:543-546.

   Not in our library10.1126/science.aal1988

10. 10.
    Classical sickle beta-globin haplotypes exhibit a high degree of long-range haplotype similarity in African and Afro-Caribbean populations · 2007

    Not checked
11. 11.

    Ranciaro A, et al. Genetic origins of lactase persistence and the spread of pastoralism in Africa. Am. J. Hum. Genet. 2014;94:496-510.

    Not in our library10.1016/j.ajhg.2014.02.009

12. 12.

    Genovese G, et al. Association of trypanolytic ApoL1 variants with kidney disease in African Americans. Science. 2010;329:841-845.

    Not in our library10.1126/science.1193032

13. 13.

    Sabeti PC, et al. Detecting recent positive selection in the human genome from haplotype structure. Nature. 2002;419:832-837.

    Not in our library10.1038/nature01140

14. 14.

    Schlebusch CM, et al. Genomic variation in seven Khoe-San groups reveals adaptation and complex African history. Science. 2012;338:374-379.

    Not in our library10.1126/science.1227721

15. 15.

    Scheinfeldt LB, et al. Genomic evidence for shared common ancestry of East African hunting-gathering populations and insights into local adaptation. Proc. Natl Acad. Sci. USA. 2019;116:4166-4175.

    Not in our library10.1073/pnas.1817678116

16. 16.

    Skoglund P, et al. Reconstructing prehistoric African population structure. Cell. 2017;171:59-71.

    Not in our library10.1016/j.cell.2017.08.049

17. 17.

    Choudhury A, et al. Whole-genome sequencing for an enhanced understanding of genetic variation among South Africans. Nat. Commun. 2017;8:2062.

    Not in our library10.1038/s41467-017-00663-9

18. 18.

    Ilboudo H, et al. Introducing the TrypanoGEN biobank: a valuable resource for the elimination of human African trypanosomiasis. PLoS Negl. Trop. Dis. 2017;11:e0005438.

    Not in our library10.1371/journal.pntd.0005438

19. 19.

    Alexander DH, Novembre J, Lange K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 2009;19:1655-1664.

    Not in our library10.1101/gr.094052.109

20. 20.

    Patterson N, et al. Ancient admixture in human history. Genetics. 2012;192:1065-1093.

    Not in our library10.1534/genetics.112.145037

21. 21.

    Semo A, et al. Along the Indian Ocean coast: genomic variation in Mozambique provides new insights into the Bantu expansion. Mol. Biol. Evol. 2020;37:406-416.

    Not in our library10.1093/molbev/msz224

22. 22.

    Loh P-R, et al. Inferring admixture histories of human populations using linkage disequilibrium. Genetics. 2013;193:1233-1254.

    Not in our library10.1534/genetics.112.147330

23. 23.

    Patin E, et al. The impact of agricultural emergence on the genetic history of African rainforest hunter-gatherers and agriculturalists. Nat. Commun. 2014;5:3163.

    Not in our library10.1038/ncomms4163

24. 24.

    Shriner D, Rotimi CN. Genetic history of Chad. Am. J. Phys. Anthropol. 2018;167:804-812.

    Not in our library10.1002/ajpa.23711

25. 25.

    Campbell IM, et al. Multiallelic positions in the human genome: challenges for genetic analyses. Hum. Mutat. 2016;37:231-234.

    Not in our library10.1002/humu.22944

26. 26.

    Campbell MC, Tishkoff SA. African genetic diversity: implications for human demographic history, modern human origins, and complex disease mapping. Annu. Rev. Genomics Hum. Genet. 2008;9:403-433.

    Not in our library10.1146/annurev.genom.9.081307.164258

27. 27.

    Pavlidis P, Živkovic D, Stamatakis A, Alachiotis N. SweeD: likelihood-based detection of selective sweeps in thousands of genomes. Mol. Biol. Evol. 2013;30:2224-2234.

    Not in our library10.1093/molbev/mst112

28. 28.

    Szpiech ZA, Hernandez RD. selscan: an efficient multithreaded program to perform EHH-based scans for positive selection. Mol. Biol. Evol. 2014;31:2824-2827.

    Not in our library10.1093/molbev/msu211

29. 29.

    Vitti JJ, Grossman SR, Sabeti PC. Detecting natural selection in genomic data. Annu. Rev. Genet. 2013;47:97-120.

    Not in our library10.1146/annurev-genet-111212-133526

30. 30.

    Yi X, et al. Sequencing of 50 human exomes reveals adaptation to high altitude. Science. 2010;329:75-78.

    Not in our library10.1126/science.1190371

31. 31.

    Retshabile G, et al. Whole-exome sequencing reveals uncaptured variation and distinct ancestry in the southern African population of Botswana. Am. J. Hum. Genet. 2018;102:731-743.

    Not in our library10.1016/j.ajhg.2018.03.010

32. 32.
    Distribution and Medical Impact of Loss-of-Function Variants in the Finnish Founder Population · 2014

    No notice
33. 33.

    World Health Organization. WHO Influenza (Seasonal): Fact Sheethttps://www.who.int/news-room/fact-sheets/detail/influenza-(seasonal) (2016).

    Not in our library

34. 34.

    Kalia SS, et al. Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics. Genet. Med. 2017;19:249-255.

    Not in our library10.1038/gim.2016.190

35. 35.

    Manjurano A, et al. African glucose-6-phosphate dehydrogenase alleles associated with protection from severe malaria in heterozygous females in Tanzania. PLoS Genet. 2015;11:e1004960.

    Not in our library10.1371/journal.pgen.1004960

36. 36.

    Howes RE, Battle KE, Satyagraha AW, Baird JK, Hay SI. G6PD deficiency: global distribution, genetic variants and primaquine therapy. Adv. Parasitol. 2013;81:133-201.

    Not in our library10.1016/b978-0-12-407826-0.00004-7

37. 37.

    Kimuda MP, et al. No evidence for association between APOL1 kidney disease risk alleles and human African trypanosomiasis in two Ugandan populations. PLoS Negl. Trop. Dis. 2018;12:e0006300.

    Not in our library10.1371/journal.pntd.0006300

38. 38.

    Rotimi CN, Jorde LB. Ancestry and disease in the age of genomic medicine. N. Engl. J. Med. 2010;363:1551-1558.

    Not in our library10.1056/nejmra0911564

39. 39.

    Phillipson DW. Iron Age history and archaeology in Zambia. J. Afr. Hist. 1974;15:1-25.

    Not in our library

40. 40.

    Schlebusch CM, Jakobsson M. Tales of human migration, admixture, and selection in Africa. Annu. Rev. Genomics Hum. Genet. 2018;19:405-428.

    Not in our library10.1146/annurev-genom-083117-021759

Cited by papers we hold 2

• Dissecting Generalizability and Actionability of Disease-Associated Genes From 20 Worldwide Ethnolinguistic Cultural Groups · 2022
  Not checked
• From GWAS to Gene: Transcriptome-Wide Association Studies and Other Methods to Functionally Understand GWAS Discoveries · 2021
  No notice

Reads

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.