Bold predictions for human genomics by 2030

After spending several years working on a book about the human genome I've come to the realization that the field of genomics is not delivering on its promise to help us understand what's in your genome. In fact, genomics researchers have by and large impeded progress by coming up with false claims that need to be debunked.

My view is not widely shared by today's researchers who honestly believe they have made tremendous progress and will make even more as long as they get several billion dollars to continue funding their research. This view is nicely summarized in a Scientific American article from last fall that's really just a precis of an article that first appeared in Nature. The Nature article was written by employees of the National Human Genome Research Institute (NHGRI) at the National Institutes of Health in Bethesda, MD, USA (Green et al., 2020). Its purpose is to promote the work that NHGRI has done in the past and to summarize its strategic vision for the future. At the risk of oversimplifying, the strategic vision is "more of the same."

Green, E.D., Gunter, C., Biesecker, L.G., Di Francesco, V., Easter, C.L., Feingold, E.A., Felsenfeld, A.L., Kaufman, D.J., Ostrander, E.A. and Pavan, W.J. and 20 others (2020) Strategic vision for improving human health at The Forefront of Genomics. Nature 586:683-692. [doi: 10.1038/s41586-020-2817-4]

Starting with the launch of the Human Genome Project three decades ago, and continuing after its completion in 2003, genomics has progressively come to have a central and catalytic role in basic and translational research. In addition, studies increasingly demonstrate how genomic information can be effectively used in clinical care. In the future, the anticipated advances in technology development, biological insights, and clinical applications (among others) will lead to more widespread integration of genomics into almost all areas of biomedical research, the adoption of genomics into mainstream medical and public-health practices, and an increasing relevance of genomics for everyday life. On behalf of the research community, the National Human Genome Research Institute recently completed a multi-year process of strategic engagement to identify future research priorities and opportunities in human genomics, with an emphasis on health applications. Here we describe the highest-priority elements envisioned for the cutting-edge of human genomics going forward—that is, at ‘The Forefront of Genomics’.

What's interesting are the predictions that the NHGRI makes for 2030—predictions that were highlighted in the Scientific American article. I'm going to post those predictions without comment other than saying that I think they are mostly bovine manure. I'm interested in hearing your comments.

Bold predictions for human genomics by 2030

Some of the most impressive genomics achievements, when viewed in retrospect, could hardly have been imagined ten years earlier. Here are ten bold predictions for human genomics that might come true by 2030. Although most are unlikely to be fully attained, achieving one or more of these would require individuals to strive for something that currently seems out of reach. These predictions were crafted to be both inspirational and aspirational in nature, provoking discussions about what might be possible at The Forefront of Genomics in the coming decade.

1. Generating and analysing a complete human genome sequence will be routine for any research laboratory, becoming as straightforward as carrying out a DNA purification.
2. The biological function(s) of every human gene will be known; for non-coding elements in the human genome, such knowledge will be the rule rather than the exception.
3. The general features of the epigenetic landscape and transcriptional output will be routinely incorporated into predictive models of the effect of genotype on phenotype.
4. Research in human genomics will have moved beyond population descriptors based on historic social constructs such as race.
5. Studies that involve analyses of genome sequences and associated phenotypic information for millions of human participants will be regularly featured at school science fairs.
6. The regular use of genomic information will have transitioned from boutique to mainstream in all clinical settings, making genomic testing as routine as complete blood counts.
7. The clinical relevance of all encountered genomic variants will be readily predictable, rendering the diagnostic designation ‘variant of uncertain significance (VUS)’ obsolete.
8. An individual’s complete genome sequence along with informative annotations will, if desired, be securely and readily accessible on their smartphone.
9. Individuals from ancestrally diverse backgrounds will benefit equitably from advances in human genomics.
10. Breakthrough discoveries will lead to curative therapies involving genomic modifications for dozens of genetic diseases.

I predict that nine years from now (2030) we will still be dealing with scientists who think that most of our genome is functional; that most human protein-coding genes produce many different proteins by alternative splicing; that epigenetics is useful; that there are more noncoding genes than protein-coding genes; that the leading scientists in the 1960 and 70s were incredibly stupid to suggest junk DNA; that almost every transcription factor binding site is biologically relevant; that most transposon-related sequences have a mysterious (still unknown) function; that it's still a mystery why humans are so much more complex than chimps; and that genomics will eventually solve all problems by 2040.

Why in the world, you might ask, would we still be dealing with issues like that? Because of genomics.

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"Dark matter" as an argument against junk DNA

Opponents of junk DNA have been largely unsuccessful in demonstrating that most of our genome is functional. Many of them are vaguely aware of the fact that "no function" (i.e. junk) is the default hypothesis and the onus is on them to come up with evidence of function. In order to shift, or obfuscate, this burden of proof they have increasingly begun to talk about the "dark matter" of the genome. The idea is to pretend that most of the genome is a complete mystery so that you can't say for certain whether it is junk or functional.

One of the more recent attempts appears in the "Journal Club" section of Nature Reviews Genetics. It focuses on repetitive DNA.

Before looking at that article, let's begin by summarizing what we already know about repetitive DNA. It includes highly repetitive DNA consisting of mutliple tandem repeats of short sequences such as ATATATATAT... or CGACGACGACGA ... or even longer repeats. Much of this is located in centromeric regions of the chromosome and I estimate that functional highly repetitve regions make up about 1% of the genome.[see Centromere DNA and Telomeres]

The other part of repetitive DNA is middle repetitive DNA, which is largely composed of transposons and endogenous viruses, although it includes ribosomal RNA genes and origins of replication. Most of these sequences are dispersed as single copies throughout the genome. It's difficult to determine exactly how much of the genome consists of these middle repetitive sequences but it's certainly more than 50%.

Almost all of the transposon- and virus-related sequences are defective copies of once active transposons and viruses. Most of them are just fragments of the originals. They are evolving at the neutral rate so they look like junk and they behave like junk.¹ That's not selfish DNA because is doesn't transpose and it's not "dark matter." These fragments have all the characterstics of nonfunctional junk in our genome.

We know that the C-value paradox is mostly explained by differing amounts of repetitive DNA in different genomes and this is consistent with the idea that they are junk. We know that less that 10% of our genome is conserved and this fits in with that conclusion. Finally, we know that genetic load arguments indicate that most our genome must be impervious to mutation. Combined, these are all powerful bits of evidence and logic in favor of repetitive sequences being mostly junk DNA.

Now let's look at what Neil Gemmell says in this article.

Gemmell, N.J. (2021) Repetitive DNA: genomic dark matter matters. Nature Reviews Genetics:1-1. [doi: 10.1038/s41576-021-00354-8]

"Repetitive DNA sequences were found in hundreds of thousands, and sometimes millions, of copies in the genomes of most eukaryotes. while widespread and evolutionarily conserved, the function of these repeats was unknown. Provocatively, Britten and Kohne concluded 'a concept that is repugnant to us is that about half of the DNA of higher organisms is trivial or permanently inert.'”"

That's from Britten and Kohne (1968) and it's true that more than 50 years ago those workers didn't like the idea of junk DNA. Britten argued that most of this repetitive DNA was likely to be involved in regulation. Gemmell goes on to describe centromeres and telomeres and mentions that most repetitive DNA was thought to be junk.

"... the idea that much of the genome is junk, maintained and perpetuated by random chance, seemed as broadly unsatisfactory to me as it had to the original authors. Enthralled by the mystery of why half our genome is repetitive DNA, I have followed this field ever since."

Gemmell is not alone. In spite of all the evidence for junk DNA, the majority of scientists don't like the fact that most of our genome is junk. Here's how he justifies his continued skepticism.

"But it was not until the 2000s, as full eukaryotic genome sequences emerged, that we discovered that the repetitive non-coding regions of our genome harbour large numbers of promoters, enhancers, transcription factor binding sites and regulatory RNAs that control gene expression. More recently, the importance of repetitive DNA in both structural and regulatory processes has emerged, but much remains to be discovered and understood. It is time to shine further light on this genomic dark matter."

This appears to be the ENCODE publicity campaign legacy rearing its ugly head once more. Most Sandwalk readers know that the presence of transcription factor binding sites, RNA polymerase binding sites, and junk RNA is exactly what one would predict from a genome full of defective transposons. Most of us know that a big fat sloppy genome is bound to contain millions of spurious binding sites for transcription factors so this says nothing about function.

Apparently Gemmell's skepticism doesn't apply to the ENCODE results so he still thinks that all those bits and pieces of transposons are mysterious bits of dark matter that could be several billion base pairs of functional DNA. I don't know what he imagines they could be doing.

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Photo Credit: The photo shows human chromosomes labelled with a telomere probe (yellow), from Christoher Counter at Duke University.

1. In my book, I cover this in a section called "If it walks like a duck ..." It's a form of abductive reasoning.

Britten, R. and Kohne, D. (1968) Repeated Sequences in DNA. Science 161:529-540. [doi: 10.1126/science.161.3841.529]

Off to the publisher!

The first draft of my book is ready to be sent to my publisher.

Text by Laurence A. Moran

Cover art and figures by Gordon L. Moran

• 11 chapters
• 112,000 words (+ preface and glossary)
• about 370 pages (estimated)
• 26 figures
• 305 notes
• 400 references

©Laurence A. Moran

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I think I'll skip this meeting

I just received an invitation to a meeting ...

On behalf of the international organizing committee, we would like to invite you to a conference to be held in Neve Ilan, near Jerusalem, from 4-8 October 2021, entitled ‘Potential and Limitations of Evolutionary Processes’. The main goal of this interdisciplinary, international conference is to bring together scientists and scholars who hold a range of viewpoints on the potential and possible limitations of various undirected chemical and biological processes.

The conference will include presentations from a broad spectrum of disciplines, including chemistry, biochemistry, biology, origin of life, evolution, mathematics, cosmology and philosophy. Open-floor discussion will be geared towards delineating mechanistic details, with a view to discussing in such a way that speakers and participants feel comfortable expressing different opinions and different interpretations of the data, in the spirit of genuine academic inquiry.

I'm pretty sure I got this invite because I attended the Royal Society Meeting on New trends in evolutionary biology: biological, philosophical and social science perspectives back in 2016. That meeting was a big disappointment because the proponents of extending the modern synthesis didn't have much of a case [Kevin Laland's new view of evolution].

I was curious to see what kind of followup the organizers of this new meeting were planning so I checked out the website at: Potential and Limitations of Evolutionary Processes. Warning bells went off immediately when I saw the list of topics.

• Fine-Tuning of the Universe
• The Origin of Life
• Origin & Fine-Tuning of the Genetic Code
• Origin of Novel Genes
• Origin of Functional Islands in Protein Sequence Space
• Origin of Multi-Component Molecular Machines
• Fine-Tuning of Molecular Systems
• Fine-Tuning in Complex Biological Systems
• Evolutionary Waiting Times
• History of Life & Comparative Genomics

This is a creationist meeting. A little checking shows that three of the four organizers, Russ Carlson, Anthony Futerman, and Siegfried Scherer, are creationists. (I don't know about the other organizer, Joel Sussman, but in this case guilt by association seems appropriate.)

I don't think I'll book a flight to Israel.

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Happy St. Patrick's Day!

Happy St. Patrick's Day! These are my great-grandparents Thomas Keys Foster, born in County Tyrone on September 5, 1852 and Eliza Ann Job, born in Fintona, County Tyrone on August 18, 1852. Thomas came to Canada in 1876 to join his older brother, George, on his farm near London, Ontario, Canada. Eliza came the following year and worked on the same farm. Thomas and Eliza decided to move out west where they got married in 1882 in Winnipeg, Manitoba, Canada.

The couple obtained a land grant near Salcoats, Saskatchewan, a few miles south of Yorkton, where they build a sod house and later on a wood frame house that they named "Fairview" after a hill in Ireland overlooking the house where Eliza was born. That's where my grandmother, Ella, was born.

Other ancestors in this line came from the adjacent counties of Donegal (surname Foster) and Fermanagh (surnames Keys, Emerson, Moore) and possibly Londonderry (surname Job).

One of the cool things about studying your genealogy is that you can find connections to almost everyone. This means you can celebrate dozens of special days. In my case it was easy to find other ancestors from England, Scotland, Netherlands, Germany, France, Spain, Poland, Lithuania, Belgium, Ukraine, Russia, and the United States. Today, we will be celebrating St. Patrick's Day. It's rather hectic keeping up with all the national holidays but somebody has to keep the traditions alive!

It's nice to have an excuse to celebrate, especially when it means you can drink beer. However, I would be remiss if I didn't mention one little (tiny, actually) problem. Since my maternal grandmother is pure Irish, I should be 25% Irish but my DNA results indicate that I'm only 4% Irish. That's probalby because my Irish ancestors were Anglicans and were undoubtedly the descendants of settlers from England, Wales, and Scotland who moved to Ireland in the 1600s. This explains why they don't have very Irish-sounding names.

I don't mention this when I'm in an Irish pub.

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Is science the only way of knowing?

Most of us learned that science provides good answers to all sort of questions ranging from whether a certain drug is useful in treating COVID-19 to whether humans evolved from primitive apes. A more interesting question is whether there are any limitations to science or whether there are any other effective ways of knowing. The question is related to the charge of "scientism," which is often used as a pejorative term to describe those of us who think that science is the only way of knowing.

I've discussed these issue many times of this blog so I won't rehash all the arguments. Suffice to say that there are two definitions of science; the broad definition and the narrow one. The narrow definition says that science is merely the activity carried out by geologists, chemists, physicists, and biologists. Using this definition it would be silly to say that science is the only way of knowing. The broad definition can be roughly described as: science is a way of knowing that relies on evidence, logic (rationality), and healthy skepticism.

The broad definition is the one preferred by many philosophers and it goes something like this ...

Unfortunately neither "science" nor any other established term in the English language covers all the disciplines that are parts of this community of knowledge disciplines. For lack of a better term, I will call them "science(s) in the broad sense." (The German word "Wissenschaft," the closest translation of "science" into that language, has this wider meaning; that is, it includes all the academic specialties, including the humanities. So does the Latin "scientia.") Science in a broad sense seeks knowledge about nature (natural science), about ourselves (psychology and medicine), about our societies (social science and history), about our physical constructions (technological science), and about our thought construction (linguistics, literary studies, mathematics, and philosophy). (Philosophy, of course, is a science in this broad sense of the word.)

Sven Ove Hanson "Defining Pseudoscience and Science" in Philosophy of Pseudescience: Reconsidering the Demarcation Problem.

The bad news from Ghent

A group of scientists, mostly from the University of Ghent¹ (Belgium), have posted a paper on bioRxiv.

Lorenzi, L., Chiu, H.-S., Cobos, F.A., Gross, S., Volders, P.-J., Cannoodt, R., Nuytens, J., Vanderheyden, K., Anckaert, J. and Lefever, S. et al. (2019) The RNA Atlas, a single nucleotide resolution map of the human transcriptome. bioRxiv:807529. [doi: 10.1101/807529]

The human transcriptome consists of various RNA biotypes including multiple types of non-coding RNAs (ncRNAs). Current ncRNA compendia remain incomplete partially because they are almost exclusively derived from the interrogation of small- and polyadenylated RNAs. Here, we present a more comprehensive atlas of the human transcriptome that is derived from matching polyA-, total-, and small-RNA profiles of a heterogeneous collection of nearly 300 human tissues and cell lines. We report on thousands of novel RNA species across all major RNA biotypes, including a hitherto poorly-cataloged class of non-polyadenylated single-exon long non-coding RNAs. In addition, we exploit intron abundance estimates from total RNA-sequencing to test and verify functional regulation by novel non-coding RNAs. Our study represents a substantial expansion of the current catalogue of human ncRNAs and their regulatory interactions. All data, analyses, and results are available in the R2 web portal and serve as a basis to further explore RNA biology and function.

They spent a great deal of effort identifying RNAs from 300 human samples in order to construct an extensive catalogue of five kinds of transcripts: mRNAs, lncRNAs, antisenseRNAs, miRNAs, and circularRNAs. The paper goes off the rails in the first paragraph of the Results section where they immediately equate transcripts wiith genes. They report the following:

• 19,107 mRNA genes (188 novel)
• 18,387 lncRNA genes (13,175 novel)
• 7,309 asRNA genes (2,519 novel)
• 5,427 miRNAs
• 5,427 circRNAs

Is science a social construct?

Richard Dawkins has written an essay for The Spectator in which he says,

"[Science is not] a social construct. It’s simply true. Or at least truth is real and science is the best way we have of finding it. ‘Alternative ways of knowing’ may be consoling, they may be sincere, they may be quaint, they may have a poetic or mythic beauty, but the one thing they are not is true. As well as being real, moreover, science has a crystalline, poetic beauty of its own.

The essay is not particularly provocative but it did provoke Jerry Coyne who pointed out that, "The profession of science" can be contrued as a social construct. In this sense Jerry is agreeing with his former supervisor, Richard Lewontin¹ who wrote,

"Science is a social institution about which there is a great deal of misunderstanding, even among those who are part of it. We think that science is an institution, a set of methods, a set of people, a great body of knowledge that we call scientific, is somehow apart from the forces that rule our everyday lives and tha goven the structure of our society... The problems that science deals with, the ideas that it uses in investigating those problems, even the so-called scientific results that come out of scientific investigation, are all deeply influenced by predispositions that derive from the society in which we live. Scientists do not begin life as scientists after all, but as social beings immersed in a family, a state, a productive structure, and they view nature through a lens that has been molded by their social structure."

Coincidently, I just happened to be reading Science Fictions an excellent book by Stuart Ritchie who also believes that science is a social construct but he has a slighly different take on the matter.

"Science has cured diseases, mapped the brain, forcasted the climate, and split the atom; it's the best method we have of figuring out how the universe works and of bending it to our will. It is, in other words, our best way of moving towards the truth. Of course, we might never get there—a glance at history shows us hubristic it is to claim any facts as absolute or unchanging. For ratcheting our way towards better knowledge about the world, though, the methods of science is as good as it gets.

But we can't make progress withthose methods alone. It's not enough to make a solitary observation in your lab; you must also convince other scientists that you've discovered something real. This is where the social part comes. Philosophers have long discussed how important it is for scientists to show their fellow researchers how they came to their conclusions.

Dawkins, Coyne, Lewontin, and Ritchie are all right in different ways. Dawkins is talking about science as a way of knowing, although he restricts his definition of science to the natural sciences. The others are referring to the practice of science, or as Jerry Coyne puts it, the profession. It's true that the methods of science are the best way we have to get at the truth and it's true that the way of knowing is not a social construct in any meanigful sense.

Jerry Coyne is right to point out that the methods are employed by human scientists (he's also restricting the practice of science to scientists) and humans are fallible. In that sense, the enterprise of (natural) science is a social construct. Lewontin warns us that scientists have biases and prejudices and that may affect how they do science.

Ritchie makes a diffferent point by emphasizing that (natural) science is a collective endeavor and that "truth" often requires a consensus. That's the sense in which science is social. This is supposed to make science more robust, according to Ritchie, because real knowledge only emerges after carefull and skeptical scrutiny by other scientists. His book is mostly about how that process isn't working and why science is in big trouble. He's right about that.

I think it's important to distinguish between science as a way of knowing and the behavior and practice of scientists. The second one is affected by society and its flaws are well-known but the value of science as way of knowing can't be so easily dismissed.

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1. The book is actually a series of lectures (The Massey Lectures) that Lewontin gave in Toronto (Ontario, Canada) in 1990. I attended those lectures.

The 20th anniversary of the human genome sequence: 6. Nature doubles down on ENCODE results

Nature has now published a series of articles celebrating the 20th anniversary of the publication of the draft sequences of the human genome [Genome revolution]. Two of the articles are about free access to information and, unlike a similar article in Science, the Nature editors aren't shy about mentioning an important event from 2001; namely, the fact that Science wasn't committed to open access.

By publishing the Human Genome Project’s first paper, we worked with a publicly funded initiative that was committed to data sharing. But the journal acknowledged there would be challenges to maintaining the free, open flow of information, and that the research community might need to make compromises to these principles, for example when the data came from private companies. Indeed, in 2001, colleagues at Science negotiated publishing the draft genome generated by Celera Corporation in Rockville, Maryland. The research paper was immediately free to access, but there were some restrictions on access to the full data.

The 20th anniversary of the human genome sequence: 5. 90% of our genome is junk

This is the fifth (and last) post in celebration of the 20th anniversary of publishing the draft sequence. The first four posts dealt with: (1) the way Science chose to commemorate the occasion [Access to the data]; (2) finishing the sequence; (3) the number of genes; and (4) the amount of functional DNA in the genome.

Back in 2001, knowledgeable scientists knew that most of the human genome is junk and the sequence confirmed that knowledge. Subsequent work on the human genome over the past 20 years has provided additional evidence of junk DNA so that we can now be confident that something like 90% of our genome is junk DNA. Here's a list of data and arguments that support that claim.

The 20th anniversary of the human genome sequence: 4. Functional DNA in our genome

We know a lot more about the human genome than we did when the draft sequences were published 20 years ago. One of the most important discoveries is the recognition and extent of true functional sequences in the genome. Genes are one example of such functional sequence but only a minor component (about 1.4%). Most of the functional regions of the genome are not genes.

Here's a list of functional DNA in our genome other than the functional part of genes.

• Centromeres: There are 24 different centromeres and the average size is four million base pairs. Most of this is repetitive DNA and it adds up to about 3% of the genome. The total amount of centromeric DNA ranges from 2%-10% in different individuals. It's unlikely that all of the centromeric DNA is essential; about 1% seems to be a good estimate.
• Telomeres: Telomeres are repetivie DNA sequences at the ends of chromosomes. They are required for the proper replication of DNA and they take up about 0.1% of the genome sequence.
• Origins of replication: DNA replication begins at origins of replication. The size of each origin has not been established with certainlty but it's safe to assume that 100 bp is a good estimate. There are about 100,000 origin sequences but it's unlikely that all of them are functional or necessary. It's reasonable to assume that only 30,000 - 50,000 are real origins and that means 0.3% of the genome is devoted to origins of replication.
• Regulatory sequences: The transcription of every gene is controlled by sequences that lie outside of the genes, usually at the 5′ end. The total amount of regulatory sequence is controversial but it seems reasonable to assume about 200 bp per gene for a total of five million bp or less than 0.2% of the genome (0.16%). The most extreme claim is about 2,400 bp per gene or 1.8% of the genome.
• Scaffold attachment regions (SARs): Human chromatin is organized into about 100,000 large loops. The base of each loop consists of particular proteins bound to specific sequences called anchor loop sequences. The nomenclature is confusing; the original term (SAR) isn't as popular today as it was 35 years ago but that doesn't change the fact that about 0.3% of the genome is required to organize chromatin.
• Transposons: Most of the transposon-related sequencs in our genome are just fragments of defective transposons but there are a few active ones. They account for only a tiny fraction of the genome.
• Viruses: Functional virus DNA sequences account for less than 0.1% of the genome.

If you add up all the functional DNA from this list, you get to somewhere between 2% and 3% of the genome.

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Image credit: Wikipedia.

The 20th anniversary of the human genome sequence: 3. How many genes?

This week marks the 20th anniversary of the publication of the first drafts of the human genome sequence. Science choose to celebrate the achievement with a series of articles that had little to say about the scientific discoveries arising out of the sequencing project; one of the articles praised the opennesss of sequence data without mentioning that the journal had violated its own policy on openness by publishing the Celera sequence [The 20th anniversary of the human genome sequence: 1. Access to the data and the complicity of Science].

I've decided to post a few articles about the human genome beginning with one on finishing the sequence. In this post I'll summarize the latest data on the number of genes in the human genome.

The 20th anniversary of the human genome sequence: 2. Finishing the sequence

It's been 20 years since the first drafts of the human genome sequence were published. These first drafts from the International Human Genome Project (IHGP) and Celera were far from complete. The IHGP sequence covered about 82% of the genome and it contained about 250,000 gaps and millions of sequencing errors.

Celera never published an updated sequences but IHPG published a "finished" sequence in October 2004. It covered about 92% of the genome and had "only" 300 gaps. The error rate of the finished sequence was down to 10^-5.

International Human Genome Sequencing Consortium (2004) Finishing the euchromatic sequence of the human genome. Nature 431:931-945. doi: 10.1038/nature03001

We've known for many decades that the correct size of the human genome is close to 3,200,000 kb or 3.2 Gb. There's isn't a more precise number because different individuals have different amounts of DNA. The best average estimate was 3,286 Gb based on the sequence of 22 autosomes, one X chromosome, and one Y chromosome (Morton 1991). The amount of actual nucleotide sequence in the latest version of the reference genome (GRCh38.p13) is 3,110,748,599 bp and the estimated total size is 3,272,116,950 bp based on estimating the size of the remaining gaps. This means that 95% of the genome has been sequenced. [see How much of the human genome has been sequenced? for a discussion of what's missing.]

Recent advances in sequencing technology have produced sequence data covering the repetitive regions in the gaps and the first complete sequence of a human chromosome (X) was published in 2019 [First complete sequence of a human chromosome]. It's now possible to complete the human genome reference sequence by sequencing at least one individual but I'm not sure that the effort and the expense are worth it.

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Image credit the figure is from Miga et al. (2019)

Miga, K.H., Koren, S., Rhie, A., Vollger, M.R., Gershman, A., Bzikadze, A., Brooks, S., Howe, E., Porubsky, D., Logsdon, G.A. et al. (2019) Telomere-to-telomere assembly of a complete human X chromosome. Nature 585:79-84. [doi: 10.1038/s41586-020-2547-7]

Morton, N.E. (1991) Parameters of the human genome. Proceedings of the National Academy of Sciences 88:7474-7476. [doi: 10.1073/pnas.88.17.7474]

The 20th anniversary of the human genome sequence: 1. Access to the data and the complicity of Science

The first drafts of the human genome sequence were published 20 years ago. The paper from the International Human Genome Project (IHGP) was published in Nature on Febuary 15, 2001 and the paper from Celera was published in Science on February 16, 2001.

The original agreement was to publish both papers in Science but IHGP refused to publish their sequence in that journal when it choose to violate its own policy by allowing Celera to restrict access to its data. I highly recommend James Shreeve's book The Genome War for the history behind these publications. It paints an accurate, but not pretty, picture of science and politics.

Lander, E., Linton, L., Birren, B., Nusbaum, C., Zody, M., Baldwin, J., Devon, K., Dewar, K., Doyle, M., FitzHugh, W., Funke, R., Gage, D., Harris, K., Heaford, A., Howland, J., Kann, L., Lehoczky, J., LeVine, R., McEwan, P., McKernan, K., Meldrim, J., Mesirov, J., Miranda, C., Morris, W., Naylor, J., Raymond, C., Rosetti, M., Santos, R., Sheridan, A. and Sougnez, C. (2001) Initial sequencing and analysis of the human genome. Nature 409:860-921. doi: 10.1038/35057062

Venter, J., Adams, M., Myers, E., Li, P., Mural, R., Sutton, G., Smith, H., Yandell, M., Evans, C., Holt, R., Gocayne, J., Amanatides, P., Ballew, R., Huson, D., Wortman, J., Zhang, Q., Kodira, C., Zheng, X., Chen, L., Skupski, M., Subramanian, G., Thomas, P., Zhang, J., Gabor Miklos, G., Nelson, C., Broder, S., Clark, A., Nadeau, J., McKusick, V. and Zinder, N. (2001) The sequence of the human genome. Science 291:1304 - 1351. doi: 10.1126/science.1058040

On the importance of controls

When doing an exeriment, it's important to keep the number of variables to a minimum and it's important to have scientific controls. There are two types of controls. A negative control covers the possibility that you will get a signal by chance; for example, if you are testing an enzyme to see whether it degrades sugar then the negative control will be a tube with no enzyme. Some of the sugar may degrade spontaneoulsy and you need to know this. A positive control is when you deliberately add something that you know will give a positive result; for example, if you are doing a test to see if your sample contains protein then you want to add an extra sample that contains a known amount of protein to make sure all your reagents are working.

Lots of controls are more complicated than the examples I gave but the principle is important. It's true that some experiments don't appear to need the appropriate controls but that may be an illusion. The controls might still be necessary in order to properly interpret the results but they're not done because they are very difficult. This is often true of genomics experiments.