Reference genome explained

A reference genome (also known as a reference assembly) is a digital nucleic acid sequence database, assembled by scientists as a representative example of the set of genes in one idealized individual organism of a species. As they are assembled from the sequencing of DNA from a number of individual donors, reference genomes do not accurately represent the set of genes of any single individual organism. Instead, a reference provides a haploid mosaic of different DNA sequences from each donor. For example, one of the most recent human reference genomes, assembly GRCh38/hg38, is derived from >60 genomic clone libraries.[1] There are reference genomes for multiple species of viruses, bacteria, fungus, plants, and animals. Reference genomes are typically used as a guide on which new genomes are built, enabling them to be assembled much more quickly and cheaply than the initial Human Genome Project. Reference genomes can be accessed online at several locations, using dedicated browsers such as Ensembl or UCSC Genome Browser.[2]

Properties of reference genomes

Measures of length

The length of a genome can be measured in multiple different ways.

A simple way to measure genome length is to count the number of base pairs in the assembly.[3]

The golden path is an alternative measure of length that omits redundant regions such as haplotypes and pseudo autosomal regions.[4] [5] It is usually constructed by layering sequencing information over a physical map to combine scaffold information. It is a 'best estimate' of what the genome will look like and typically includes gaps, making it longer than the typical base pair assembly.[6]

Contigs and scaffolds

Reference genomes assembly requires reads overlapping, creating contigs, which are contiguous DNA regions of consensus sequences.[7] If there are gaps between contigs, these can be filled by scaffolding, either by contigs amplification with PCR and sequencing or by Bacterial Artificial Chromosome (BAC) cloning.[8] Filling these gaps is not always possible, in this case multiple scaffolds are created in a reference assembly.[9] Scaffolds are classified in 3 types: 1) Placed, whose chromosome, genomic coordinates and orientations are known; 2) Unlocalised, when only the chromosome is known but not the coordinates or orientation; 3) Unplaced, whose chromosome is not known.[10]

The number of contigs and scaffolds, as well as their average lengths are relevant parameters, among many others, for a reference genome assembly quality assessment since they provide information about the continuity of the final mapping from the original genome. The smaller the number of scaffolds per chromosome, until a single scaffold occupies an entire chromosome, the greater the continuity of the genome assembly.[11] [12] [13] Other related parameters are N50 and L50. N50 is the length of the contigs/scaffolds in which the 50% of the assembly is found in fragments of this length or greater, while L50 is the number of contigs/scaffolds whose length is N50. The higher the value of N50, the lower the value of L50, and vice versa, indicating high continuity in the assembly.[14] [15] [16]

Mammalian genomes

The human and mouse reference genomes are maintained and improved by the Genome Reference Consortium (GRC), a group of fewer than 20 scientists from a number of genome research institutes, including the European Bioinformatics Institute, the National Center for Biotechnology Information, the Sanger Institute and McDonnell Genome Institute at Washington University in St. Louis. GRC continues to improve reference genomes by building new alignments that contain fewer gaps, and fixing misrepresentations in the sequence.

Human reference genome

The original human reference genome was derived from thirteen anonymous volunteers from Buffalo, New York. Donors were recruited by advertisement in The Buffalo News, on Sunday, March 23, 1997. The first ten male and ten female volunteers were invited to make an appointment with the project's genetic counselors and donate blood from which DNA was extracted. As a result of how the DNA samples were processed, about 80 percent of the reference genome came from eight people and one male, designated RP11, accounts for 66 percent of the total. The ABO blood group system differs among humans, but the human reference genome contains only an O allele, although the others are annotated.[17] [18] [19] [20] As the cost of DNA sequencing falls, and new full genome sequencing technologies emerge, more genome sequences continue to be generated. In several cases people such as James D. Watson had their genome assembled using massive parallel DNA sequencing.[21] Comparison between the reference (assembly NCBI36/hg18) and Watson's genome revealed 3.3  million single nucleotide polymorphism differences, while about 1.4 percent of his DNA could not be matched to the reference genome at all.[22] [23] For regions where there is known to be large-scale variation, sets of alternate loci are assembled alongside the reference locus.The latest human reference genome assembly, released by the Genome Reference Consortium, was GRCh38 in 2017.[24] Several patches were added to update it, the latest patch being GRCh38.p14, published in March 2022.[25] [26] This build only has 349 gaps across the entire assembly, which implies a great improvement in comparison with the first version, which had roughly 150,000 gaps. The gaps are mostly in areas such as telomeres, centromeres, and long repetitive sequences, with the biggest gap along the long arm of the Y chromosome, a region of ~30 Mb in length (~52% of the Y chromosome's length).[27] The number of genomic clone libraries contributing to the reference has increased steadily to >60 over the years, although individual RP11 still accounts for 70% of the reference genome. Genomic analysis of this anonymous male suggests that he is of African-European ancestry. According to the GRC website, their next assembly release for the human genome (version GRCh39) is currently "indefinitely postponed".[28]

In 2022, the Telomere-to-Telomere (T2T) Consortium,[29] an open, community-based effort, published the first completely assembled reference genome (version T2T-CHM13), without any gaps in the assembly. It does not contain a Y-chromosome.[30] [31] This assembly allows for the examination of centromeric and pericentromeric sequence evolution. The consortium employed rigorous methods to assemble, clean, and validate complex repeat regions which are particularly difficult to sequence.[32] It used ultra-long–read (>100 kb) sequencing to accurately sequence segmental duplications.[33]

The T2T-CHM13 is sequenced from CHM13hTERT, a cell line from an essentially haploid hydatidiform mole. "CHM" stands for "Complete Hydatidiform Mole," and "13" is its line number. "hTERT" stands for "human Telomerase Reverse Transcriptase". The cell line has been transfected with the TERT gene, which is responsible for maintaining telomere length and thus contributes to the cell line's immortality.[34] A hydatidiform mole contains two copies of the same parental genome, and thus is essentially haploid. This eliminates allelic variation and allows better sequencing accuracy.

Recent genome assemblies are as follows:[35]

Release nameDate of releaseEquivalent UCSC version
GRCh39Indefinitely postponed-
T2T-CHM13January 2022hs1
GRCh38Dec 2013hg38
GRCh37Feb 2009hg19
NCBI Build 36.1Mar 2006hg18
NCBI Build 35May 2004hg17
NCBI Build 34Jul 2003hg16

Limitations

For much of a genome, the reference provides a good approximation of the DNA of any single individual. But in regions with high allelic diversity, such as the major histocompatibility complex in humans and the major urinary proteins of mice, the reference genome may differ significantly from other individuals.[36] [37] [38] Due to the fact that the reference genome is a "single" distinct sequence, which gives its utility as an index or locator of genomic features, there are limitations in terms of how faithfully it represents the human genome and its variability. Most of the initial samples used for reference genome sequencing came from people of European ancestry. In 2010, it was found that, by de novo assembling genomes from African and Asian populations with the NCBI reference genome (version NCBI36), these genomes had ~5Mb sequences that did not align against any region of the reference genome.[39]

Following projects to the Human Genome Project seek to address a deeper and more diverse characerization of the human genetic variability, which the reference genome is not able to represent. The HapMap Project, active during the period 2002 -2010, with the purpose of creating a haplotypes map and their most common variations among different human populations. Up to 11 populations of different ancestry were studied, such as individuals of the Han ethnic group from China, Gujaratis from India, the Yoruba people from Nigeria or Japanese people, among others.[40] [41] [42] [43] The 1000 Genomes Project, carried out between 2008 and 2015, with the aim of creating a database that includes more than 95% of the variations present in the human genome and whose results can be used in studies of association with diseases (GWAS) such as diabetes, cardiovascular or autoimmune diseases. A total of 26 ethnic groups were studied in this project, expanding the scope of the HapMap project to new ethnic groups such as the Mende people of Sierra Leone, the Vietnamese people or the Bengali people.[44] [45] [46] [47] The Human Pangenome Project, which started its initial phase in 2019 with the creation of the Human Pangenome Reference Consortium, seeks to create the largest map of human genetic variability taking the results of previous studies as a starting point.[48] [49]

Mouse reference genome

Recent mouse genome assemblies are as follows:

Release nameDate of releaseEquivalent UCSC version
GRCm39June 2020mm39
GRCm38Dec 2011mm10
NCBI Build 37Jul 2007mm9
NCBI Build 36Feb 2006mm8
NCBI Build 35Aug 2005mm7
NCBI Build 34Mar 2005mm6

Other genomes

Since the Human Genome Project was finished, multiple international projects have started, focused on assembling reference genomes for many organisms. Model organisms (e.g., zebrafish (Danio rerio), chicken (Gallus gallus), Escherichia coli etc.) are of special interest to the scientific community, as well as, for example, endangered species (e.g., Asian arowana (Scleropages formosus) or the American bison (Bison bison)). As of August 2022, the NCBI database supports 71 886 partially or completely sequenced and assembled genomes from different species, such as 676 mammals, 590 birds and 865 fishes. Also noteworthy are the numbers of 1796 insects genomes, 3747 fungi, 1025 plants, 33 724 bacteria, 26 004 virus and 2040 archaea.[50] A lot of these species have annotation data associated with their reference genomes that can be publicly accessed and visualized in genome browsers such as Ensembl and UCSC Genome Browser.[51] [52]

Some examples of these international projects are: the Chimpanzee Genome Project, carried out between 2005 and 2013 jointly by the Broad Institute and the McDonnell Genome Institute of Washington University in St. Louis, which generated the first reference genomes for 4 subspecies of Pan troglodytes;[53] [54] the 100K Pathogen Genome Project, which started in 2012 with the main goal of creating a database of reference genomes for 100 000 pathogen microorganisms to use in public health, outbreaks detection, agriculture and environment;[55] the Earth BioGenome Project, which started in 2018 and aims to sequence and catalog the genomes of all the eukaryotic organisms on Earth to promote biodiversity conservation projects. Inside this big-science project there are up to 50 smaller-scale affiliated projects such as the Africa BioGenome Project or the 1000 Fungal Genomes Project.[56] [57] [58]

External links

Notes and References

  1. Web site: How many individuals were sequenced for the human reference genome assembly? . Genome Reference Consortium . 7 April 2022.
  2. Flicek P, Aken BL, Beal K, Ballester B, Caccamo M, Chen Y, Clarke L, Coates G, Cunningham F, Cutts T, Down T, Dyer SC, Eyre T, Fitzgerald S, Fernandez-Banet J, Gräf S, Haider S, Hammond M, Holland R, Howe KL, Howe K, Johnson N, Jenkinson A, Kähäri A, Keefe D, Kokocinski F, Kulesha E, Lawson D, Longden I, Megy K, Meidl P, Overduin B, Parker A, Pritchard B, Prlic A, Rice S, Rios D, Schuster M, Sealy I, Slater G, Smedley D, Spudich G, Trevanion S, Vilella AJ, Vogel J, White S, Wood M, Birney E, Cox T, Curwen V, Durbin R, Fernandez-Suarez XM, Herrero J, Hubbard TJ, Kasprzyk A, Proctor G, Smith J, Ureta-Vidal A, Searle S . 6 . Ensembl 2008 . Nucleic Acids Research . 36 . Database issue . D707–D714 . January 2008 . 18000006 . 2238821 . 10.1093/nar/gkm988 .
  3. Web site: Help - Glossary - Homo sapiens - Ensembl genome browser 87. www.ensembl.org.
  4. Web site: Golden path length VectorBase . 2016-12-12 . www.vectorbase.org. https://web.archive.org/web/20200807004848/https://vectorbase.org/glossary/golden-path-length . 2020-08-07 .
  5. Web site: Help - Glossary - Homo sapiens - Ensembl genome browser 87. www.ensembl.org.
  6. Web site: Whole assembly vs Golden path length in Ensembl? - SEQanswers. seqanswers.com. 31 July 2014 . 2016-12-12.
  7. Book: Gibson. Greg. Muse. Spencer V.. A Primer of Genome Science. 3rd. 84. Sinauer Associates. 2009. 978-0-878-93236-8.
  8. Web site: Help - Glossary - Homo_sapiens - Ensembl genome browser 107 . 2022-09-26 . www.ensembl.org.
  9. Luo . Junwei . Wei . Yawei . Lyu . Mengna . Wu . Zhengjiang . Liu . Xiaoyan . Luo . Huimin . Yan . Chaokun . 2021-09-02 . A comprehensive review of scaffolding methods in genome assembly . Briefings in Bioinformatics . 22 . 5 . bbab033 . 10.1093/bib/bbab033 . 1477-4054 . 33634311.
  10. Web site: Chromosomes, scaffolds and contigs . 2022-09-26 . www.ensembl.org.
  11. Meader . Stephen . Hillier . LaDeana W. . Locke . Devin . Ponting . Chris P. . Lunter . Gerton . May 2010 . Genome assembly quality: Assessment and improvement using the neutral indel model . Genome Research . 20 . 5 . 675–684 . 10.1101/gr.096966.109 . 1088-9051 . 2860169 . 20305016.
  12. Rice . Edward S. . Green . Richard E. . 2019-02-15 . New Approaches for Genome Assembly and Scaffolding . Annual Review of Animal Biosciences . en . 7 . 1 . 17–40 . 10.1146/annurev-animal-020518-115344 . 30485757 . 54121772 . 2165-8102.
  13. Cao . Minh Duc . Nguyen . Son Hoang . Ganesamoorthy . Devika . Elliott . Alysha G. . Cooper . Matthew A. . Coin . Lachlan J. M. . 2017-02-20 . Scaffolding and completing genome assemblies in real-time with nanopore sequencing . Nature Communications . en . 8 . 1 . 14515 . 10.1038/ncomms14515 . 28218240 . 5321748 . 2017NatCo...814515C . 2041-1723. free .
  14. Mende . Daniel R. . Waller . Alison S. . Sunagawa . Shinichi . Järvelin . Aino I. . Chan . Michelle M. . Arumugam . Manimozhiyan . Raes . Jeroen . Bork . Peer . 2012-02-23 . Assessment of Metagenomic Assembly Using Simulated Next Generation Sequencing Data . PLOS ONE . 7 . 2 . e31386 . 10.1371/journal.pone.0031386 . 1932-6203 . 3285633 . 22384016. 2012PLoSO...731386M . free .
  15. Alhakami . Hind . Mirebrahim . Hamid . Lonardi . Stefano . 2017-05-18 . A comparative evaluation of genome assembly reconciliation tools . Genome Biology . 18 . 1 . 93 . 10.1186/s13059-017-1213-3 . 1474-7596 . 5436433 . 28521789 . free .
  16. Castro . Christina J. . Ng . Terry Fei Fan . 2017-11-01 . U50: A New Metric for Measuring Assembly Output Based on Non-Overlapping, Target-Specific Contigs . Journal of Computational Biology . 24 . 11 . 1071–1080 . 10.1089/cmb.2017.0013 . 5783553 . 28418726.
  17. Book: A short guide to the human genome . Scherer S . 2008 . CSHL Press . 978-0-87969-791-4 . 135 .
  18. . E pluribus unum . Nature Methods . 7 . 5 . 331 . May 2010 . 20440876 . 10.1038/nmeth0510-331 . free .
  19. Ballouz S, Dobin A, Gillis JA . Is it time to change the reference genome? . Genome Biology . 20 . 1 . 159 . August 2019 . 31399121 . 6688217 . 10.1186/s13059-019-1774-4 . free .
  20. Rosenfeld JA, Mason CE, Smith TM . Limitations of the human reference genome for personalized genomics . PLOS ONE . 7 . 7 . e40294 . 11 July 2012 . 22811759 . 3394790 . 10.1371/journal.pone.0040294 . free . 2012PLoSO...740294R .
  21. The exception to this is J. Craig Venter whose DNA was sequenced and assembled using shotgun sequencing methods.
  22. News: Genome of DNA Pioneer Is Deciphered . Wade N . New York Times . May 31, 2007 . February 21, 2009 .
  23. Wheeler DA, Srinivasan M, Egholm M, Shen Y, Chen L, McGuire A, He W, Chen YJ, Makhijani V, Roth GT, Gomes X, Tartaro K, Niazi F, Turcotte CL, Irzyk GP, Lupski JR, Chinault C, Song XZ, Liu Y, Yuan Y, Nazareth L, Qin X, Muzny DM, Margulies M, Weinstock GM, Gibbs RA, Rothberg JM . 6 . The complete genome of an individual by massively parallel DNA sequencing . Nature . 452 . 7189 . 872–876 . April 2008 . 18421352 . 10.1038/nature06884 . free . 2008Natur.452..872W .
  24. Schneider VA, Graves-Lindsay T, Howe K, Bouk N, Chen HC, Kitts PA, Murphy TD, Pruitt KD, Thibaud-Nissen F, Albracht D, Fulton RS, Kremitzki M, Magrini V, Markovic C, McGrath S, Steinberg KM, Auger K, Chow W, Collins J, Harden G, Hubbard T, Pelan S, Simpson JT, Threadgold G, Torrance J, Wood JM, Clarke L, Koren S, Boitano M, Peluso P, Li H, Chin CS, Phillippy AM, Durbin R, Wilson RK, Flicek P, Eichler EE, Church DM . 6 . Evaluation of GRCh38 and de novo haploid genome assemblies demonstrates the enduring quality of the reference assembly . Genome Research . 27 . 5 . 849–864 . May 2017 . 28396521 . 5411779 . 10.1101/gr.213611.116 .
  25. Web site: GRCh38.p14 - hg38 - Genome - Assembly - NCBI . 2022-08-19 . www.ncbi.nlm.nih.gov.
  26. Web site: Genome Reference Consortium . 2022-05-09 . GenomeRef: GRCh38.p14 is now released! . 2022-08-19 . GRC Blog (GenomeRef).
  27. Web site: GRCh38.p14 - hg38 - Genome - Assembly - NCBI - Statistics Report . 2022-08-18 . www.ncbi.nlm.nih.gov.
  28. Web site: Genome Reference Consortium . 2022-08-18 . www.ncbi.nlm.nih.gov.
  29. Web site: Telomere-to-Telomere . 2022-08-16 . NHGRI . en.
  30. Nurk S, Koren S, Rhie A, Rautiainen M, Bzikadze AV, Mikheenko A, Vollger MR, Altemose N, Uralsky L, Gershman A, Aganezov S, Hoyt SJ, Diekhans M, Logsdon GA, Alonge M, Antonarakis SE, Borchers M, Bouffard GG, Brooks SY, Caldas GV, Chen NC, Cheng H, Chin CS, Chow W, de Lima LG, Dishuck PC, Durbin R, Dvorkina T, Fiddes IT, Formenti G, Fulton RS, Fungtammasan A, Garrison E, Grady PG, Graves-Lindsay TA, Hall IM, Hansen NF, Hartley GA, Haukness M, Howe K, Hunkapiller MW, Jain C, Jain M, Jarvis ED, Kerpedjiev P, Kirsche M, Kolmogorov M, Korlach J, Kremitzki M, Li H, Maduro VV, Marschall T, McCartney AM, McDaniel J, Miller DE, Mullikin JC, Myers EW, Olson ND, Paten B, Peluso P, Pevzner PA, Porubsky D, Potapova T, Rogaev EI, Rosenfeld JA, Salzberg SL, Schneider VA, Sedlazeck FJ, Shafin K, Shew CJ, Shumate A, Sims Y, Smit AF, Soto DC, Sović I, Storer JM, Streets A, Sullivan BA, Thibaud-Nissen F, Torrance J, Wagner J, Walenz BP, Wenger A, Wood JM, Xiao C, Yan SM, Young AC, Zarate S, Surti U, McCoy RC, Dennis MY, Alexandrov IA, Gerton JL, O'Neill RJ, Timp W, Zook JM, Schatz MC, Eichler EE, Miga KH, Phillippy AM . 6 . The complete sequence of a human genome . Science . 376 . 6588 . 44–53 . April 2022 . 35357919 . 9186530 . 10.1126/science.abj6987 . 247854936 . 2022Sci...376...44N .
  31. Web site: T2T-CHM13v2.0 - Genome - Assembly - NCBI . 2022-08-16 . www.ncbi.nlm.nih.gov.
  32. Altemose . Nicolas . Logsdon . Glennis A. . Bzikadze . Andrey V. . Sidhwani . Pragya . Langley . Sasha A. . Caldas . Gina V. . Hoyt . Savannah J. . Uralsky . Lev . Ryabov . Fedor D. . Shew . Colin J. . Sauria . Michael E. G. . Borchers . Matthew . Gershman . Ariel . Mikheenko . Alla . Shepelev . Valery A. . April 2022 . Complete genomic and epigenetic maps of human centromeres . Science . en . 376 . 6588 . eabl4178 . 10.1126/science.abl4178 . 0036-8075 . 9233505 . 35357911.
  33. Church . Deanna M. . April 2022 . A next-generation human genome sequence . Science . en . 376 . 6588 . 34–35 . 10.1126/science.abo5367 . 35357937 . 2022Sci...376...34C . 0036-8075.
  34. Steinberg . Karyn Meltz . Schneider . Valerie A. . Graves-Lindsay . Tina A. . Fulton . Robert S. . Agarwala . Richa . Huddleston . John . Shiryev . Sergey A. . Morgulis . Aleksandr . Surti . Urvashi . Warren . Wesley C. . Church . Deanna M. . Eichler . Evan E. . Wilson . Richard K. . December 2014 . Single haplotype assembly of the human genome from a hydatidiform mole . Genome Research . 24 . 12 . 2066–2076 . 10.1101/gr.180893.114 . 1088-9051 . 4248323 . 25373144.
  35. Web site: UCSC Genome Bioinformatics: FAQ. genome.ucsc.edu. 2016-08-18.
  36. MHC Sequencing Consortium . Complete sequence and gene map of a human major histocompatibility complex. The MHC sequencing consortium . Nature . 401 . 6756 . 921–923 . October 1999 . 10553908 . 10.1038/44853 . 186243515 . 1999Natur.401..921T .
  37. Logan DW, Marton TF, Stowers L . Species specificity in major urinary proteins by parallel evolution . PLOS ONE . 3 . 9 . e3280 . September 2008 . 18815613 . 2533699 . 10.1371/journal.pone.0003280 . Vosshall LB . free . 2008PLoSO...3.3280L .
  38. Book: Hurst J, Beynon RJ, Roberts SC, Wyatt TD . Urinary Lipocalins in Rodenta:is there a Generic Model? . Chemical Signals in Vertebrates 11 . Springer New York . October 2007 . 978-0-387-73944-1.
  39. Li R, Li Y, Zheng H, Luo R, Zhu H, Li Q, Qian W, Ren Y, Tian G, Li J, Zhou G, Zhu X, Wu H, Qin J, Jin X, Li D, Cao H, Hu X, Blanche H, Cann H, Zhang X, Li S, Bolund L, Kristiansen K, Yang H, Wang J, Wang J . 6 . Building the sequence map of the human pan-genome . Nature Biotechnology . 28 . 1 . 57–63 . January 2010 . 19997067 . 10.1038/nbt.1596 . 205274447 .
  40. The International HapMap Consortium . A haplotype map of the human genome . Nature . 437 . 7063 . 1299–1320 . October 2005 . 16255080 . 1880871 . 10.1038/nature04226 . 2005Natur.437.1299T .
  41. Frazer KA, Ballinger DG, Cox DR, Hinds DA, Stuve LL, Gibbs RA, Belmont JW, Boudreau A, Hardenbol P, Leal SM, Pasternak S, Wheeler DA, Willis TD, Yu F, Yang H, Zeng C, Gao Y, Hu H, Hu W, Li C, Lin W, Liu S, Pan H, Tang X, Wang J, Wang W, Yu J, Zhang B, Zhang Q, Zhao H, Zhao H, Zhou J, Gabriel SB, Barry R, Blumenstiel B, Camargo A, Defelice M, Faggart M, Goyette M, Gupta S, Moore J, Nguyen H, Onofrio RC, Parkin M, Roy J, Stahl E, Winchester E, Ziaugra L, Altshuler D, Shen Y, Yao Z, Huang W, Chu X, He Y, Jin L, Liu Y, Shen Y, Sun W, Wang H, Wang Y, Wang Y, Xiong X, Xu L, Waye MM, Tsui SK, Xue H, Wong JT, Galver LM, Fan JB, Gunderson K, Murray SS, Oliphant AR, Chee MS, Montpetit A, Chagnon F, Ferretti V, Leboeuf M, Olivier JF, Phillips MS, Roumy S, Sallée C, Verner A, Hudson TJ, Kwok PY, Cai D, Koboldt DC, Miller RD, Pawlikowska L, Taillon-Miller P, Xiao M, Tsui LC, Mak W, Song YQ, Tam PK, Nakamura Y, Kawaguchi T, Kitamoto T, Morizono T, Nagashima A, Ohnishi Y, Sekine A, Tanaka T, Tsunoda T, Deloukas P, Bird CP, Delgado M, Dermitzakis ET, Gwilliam R, Hunt S, Morrison J, Powell D, Stranger BE, Whittaker P, Bentley DR, Daly MJ, de Bakker PI, Barrett J, Chretien YR, Maller J, McCarroll S, Patterson N, Pe'er I, Price A, Purcell S, Richter DJ, Sabeti P, Saxena R, Schaffner SF, Sham PC, Varilly P, Altshuler D, Stein LD, Krishnan L, Smith AV, Tello-Ruiz MK, Thorisson GA, Chakravarti A, Chen PE, Cutler DJ, Kashuk CS, Lin S, Abecasis GR, Guan W, Li Y, Munro HM, Qin ZS, Thomas DJ, McVean G, Auton A, Bottolo L, Cardin N, Eyheramendy S, Freeman C, Marchini J, Myers S, Spencer C, Stephens M, Donnelly P, Cardon LR, Clarke G, Evans DM, Morris AP, Weir BS, Tsunoda T, Mullikin JC, Sherry ST, Feolo M, Skol A, Zhang H, Zeng C, Zhao H, Matsuda I, Fukushima Y, Macer DR, Suda E, Rotimi CN, Adebamowo CA, Ajayi I, Aniagwu T, Marshall PA, Nkwodimmah C, Royal CD, Leppert MF, Dixon M, Peiffer A, Qiu R, Kent A, Kato K, Niikawa N, Adewole IF, Knoppers BM, Foster MW, Clayton EW, Watkin J, Gibbs RA, Belmont JW, Muzny D, Nazareth L, Sodergren E, Weinstock GM, Wheeler DA, Yakub I, Gabriel SB, Onofrio RC, Richter DJ, Ziaugra L, Birren BW, Daly MJ, Altshuler D, Wilson RK, Fulton LL, Rogers J, Burton J, Carter NP, Clee CM, Griffiths M, Jones MC, McLay K, Plumb RW, Ross MT, Sims SK, Willey DL, Chen Z, Han H, Kang L, Godbout M, Wallenburg JC, L'Archevêque P, Bellemare G, Saeki K, Wang H, An D, Fu H, Li Q, Wang Z, Wang R, Holden AL, Brooks LD, McEwen JE, Guyer MS, Wang VO, Peterson JL, Shi M, Spiegel J, Sung LM, Zacharia LF, Collins FS, Kennedy K, Jamieson R, Stewart J . 6 . A second generation human haplotype map of over 3.1 million SNPs . Nature . 449 . 7164 . 851–861 . October 2007 . 17943122 . 2689609 . 10.1038/nature06258 . 2007Natur.449..851F .
  42. Altshuler DM, Gibbs RA, Peltonen L, Altshuler DM, Gibbs RA, Peltonen L, Dermitzakis E, Schaffner SF, Yu F, Peltonen L, Dermitzakis E, Bonnen PE, Altshuler DM, Gibbs RA, de Bakker PI, Deloukas P, Gabriel SB, Gwilliam R, Hunt S, Inouye M, Jia X, Palotie A, Parkin M, Whittaker P, Yu F, Chang K, Hawes A, Lewis LR, Ren Y, Wheeler D, Gibbs RA, Muzny DM, Barnes C, Darvishi K, Hurles M, Korn JM, Kristiansson K, Lee C, McCarrol SA, Nemesh J, Dermitzakis E, Keinan A, Montgomery SB, Pollack S, Price AL, Soranzo N, Bonnen PE, Gibbs RA, Gonzaga-Jauregui C, Keinan A, Price AL, Yu F, Anttila V, Brodeur W, Daly MJ, Leslie S, McVean G, Moutsianas L, Nguyen H, Schaffner SF, Zhang Q, Ghori MJ, McGinnis R, McLaren W, Pollack S, Price AL, Schaffner SF, Takeuchi F, Grossman SR, Shlyakhter I, Hostetter EB, Sabeti PC, Adebamowo CA, Foster MW, Gordon DR, Licinio J, Manca MC, Marshall PA, Matsuda I, Ngare D, Wang VO, Reddy D, Rotimi CN, Royal CD, Sharp RR, Zeng C, Brooks LD, McEwen JE . 6 . Integrating common and rare genetic variation in diverse human populations . Nature . 467 . 7311 . 52–58 . September 2010 . 20811451 . 3173859 . 10.1038/nature09298 . 2010Natur.467...52T .
  43. Web site: International HapMap Project . 2022-08-18 . Genome.gov . en.
  44. Abecasis GR, Altshuler D, Auton A, Brooks LD, Durbin RM, Gibbs RA, Hurles ME, McVean GA . 6 . A map of human genome variation from population-scale sequencing . Nature . 467 . 7319 . 1061–1073 . October 2010 . 20981092 . 3042601 . 10.1038/nature09534 . 2010Natur.467.1061T .
  45. Abecasis GR, Auton A, Brooks LD, DePristo MA, Durbin RM, Handsaker RE, Kang HM, Marth GT, McVean GA . 6 . An integrated map of genetic variation from 1,092 human genomes . Nature . 491 . 7422 . 56–65 . November 2012 . 23128226 . 3498066 . 10.1038/nature11632 . 2012Natur.491...56T .
  46. Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, Korbel JO, Marchini JL, McCarthy S, McVean GA, Abecasis GR . 6 . A global reference for human genetic variation . Nature . 526 . 7571 . 68–74 . October 2015 . 26432245 . 4750478 . 10.1038/nature15393 . 2015Natur.526...68T .
  47. Sudmant PH, Rausch T, Gardner EJ, Handsaker RE, Abyzov A, Huddleston J, Zhang Y, Ye K, Jun G, Fritz MH, Konkel MK, Malhotra A, Stütz AM, Shi X, Casale FP, Chen J, Hormozdiari F, Dayama G, Chen K, Malig M, Chaisson MJ, Walter K, Meiers S, Kashin S, Garrison E, Auton A, Lam HY, Mu XJ, Alkan C, Antaki D, Bae T, Cerveira E, Chines P, Chong Z, Clarke L, Dal E, Ding L, Emery S, Fan X, Gujral M, Kahveci F, Kidd JM, Kong Y, Lameijer EW, McCarthy S, Flicek P, Gibbs RA, Marth G, Mason CE, Menelaou A, Muzny DM, Nelson BJ, Noor A, Parrish NF, Pendleton M, Quitadamo A, Raeder B, Schadt EE, Romanovitch M, Schlattl A, Sebra R, Shabalin AA, Untergasser A, Walker JA, Wang M, Yu F, Zhang C, Zhang J, Zheng-Bradley X, Zhou W, Zichner T, Sebat J, Batzer MA, McCarroll SA, Mills RE, Gerstein MB, Bashir A, Stegle O, Devine SE, Lee C, Eichler EE, Korbel JO . 6 . An integrated map of structural variation in 2,504 human genomes . Nature . 526 . 7571 . 75–81 . October 2015 . 26432246 . 4617611 . 10.1038/nature15394 . 2015Natur.526...75. .
  48. Miga KH, Wang T . The Need for a Human Pangenome Reference Sequence . Annual Review of Genomics and Human Genetics . 22 . 1 . 81–102 . August 2021 . 33929893 . 8410644 . 10.1146/annurev-genom-120120-081921 .
  49. Wang T, Antonacci-Fulton L, Howe K, Lawson HA, Lucas JK, Phillippy AM, Popejoy AB, Asri M, Carson C, Chaisson MJ, Chang X, Cook-Deegan R, Felsenfeld AL, Fulton RS, Garrison EP, Garrison NA, Graves-Lindsay TA, Ji H, Kenny EE, Koenig BA, Li D, Marschall T, McMichael JF, Novak AM, Purushotham D, Schneider VA, Schultz BI, Smith MW, Sofia HJ, Weissman T, Flicek P, Li H, Miga KH, Paten B, Jarvis ED, Hall IM, Eichler EE, Haussler D . 6 . The Human Pangenome Project: a global resource to map genomic diversity . Nature . 604 . 7906 . 437–446 . April 2022 . 35444317 . 10.1038/s41586-022-04601-8 . 9402379 . 2022Natur.604..437W . 248297723 .
  50. Web site: Genome List - Genome - NCBI . 2022-08-18 . www.ncbi.nlm.nih.gov.
  51. Web site: Species List . 2022-08-18 . uswest.ensembl.org . 2022-08-06 . https://web.archive.org/web/20220806120818/https://uswest.ensembl.org/info/about/species.html . dead .
  52. Web site: GenArk: UCSC Genome Archive . 2022-08-18 . hgdownload.soe.ucsc.edu.
  53. News: 2016-03-04 . Chimpanzee Genome Project . en . BCM-HGSC . 2022-08-18.
  54. Prado-Martinez J, Sudmant PH, Kidd JM, Li H, Kelley JL, Lorente-Galdos B, Veeramah KR, Woerner AE, O'Connor TD, Santpere G, Cagan A, Theunert C, Casals F, Laayouni H, Munch K, Hobolth A, Halager AE, Malig M, Hernandez-Rodriguez J, Hernando-Herraez I, Prüfer K, Pybus M, Johnstone L, Lachmann M, Alkan C, Twigg D, Petit N, Baker C, Hormozdiari F, Fernandez-Callejo M, Dabad M, Wilson ML, Stevison L, Camprubí C, Carvalho T, Ruiz-Herrera A, Vives L, Mele M, Abello T, Kondova I, Bontrop RE, Pusey A, Lankester F, Kiyang JA, Bergl RA, Lonsdorf E, Myers S, Ventura M, Gagneux P, Comas D, Siegismund H, Blanc J, Agueda-Calpena L, Gut M, Fulton L, Tishkoff SA, Mullikin JC, Wilson RK, Gut IG, Gonder MK, Ryder OA, Hahn BH, Navarro A, Akey JM, Bertranpetit J, Reich D, Mailund T, Schierup MH, Hvilsom C, Andrés AM, Wall JD, Bustamante CD, Hammer MF, Eichler EE, Marques-Bonet T . 6 . Great ape genetic diversity and population history . Nature . 499 . 7459 . 471–475 . July 2013 . 23823723 . 3822165 . 10.1038/nature12228 . 2013Natur.499..471P .
  55. Web site: 100K Pathogen Genome Project – Genomes for Public Health & Food Safety . 2022-08-18 . en-US.
  56. Lewin HA, Robinson GE, Kress WJ, Baker WJ, Coddington J, Crandall KA, Durbin R, Edwards SV, Forest F, Gilbert MT, Goldstein MM, Grigoriev IV, Hackett KJ, Haussler D, Jarvis ED, Johnson WE, Patrinos A, Richards S, Castilla-Rubio JC, van Sluys MA, Soltis PS, Xu X, Yang H, Zhang G . 6 . Earth BioGenome Project: Sequencing life for the future of life . Proceedings of the National Academy of Sciences of the United States of America . 115 . 17 . 4325–4333 . April 2018 . 29686065 . 5924910 . 10.1073/pnas.1720115115 . 2018PNAS..115.4325L . free .
  57. Web site: African BioGenome Project – Genomics in the service of conservation and improvement of African biological diversity . 2022-08-18 . en-US.
  58. Web site: 1000 Fungal Genomes Project . 2022-08-18 . mycocosm.jgi.doe.gov.