Tag Archives: autism

Citizen science: One family’s search for answers in their genes

This entry was cross-posted from Terra on April 28, 2021.

In April, we celebrate Citizen Science Month, World Autism Day, and National DNA Day. In this guest blog post, all three events come together as KT Pickard, father of a young woman with autism, shares his family’s story of personal genomics and citizen science. 


This past Sunday was National DNA Day, which commemorates the discovery of DNA’s double helix in 1953 and the publication of the first draft of the human genome in 2003. Events on National DNA Day celebrate the latest genomic research and explore how those advances might impact our lives. Last year, I wrote a playful article for DNA Day that investigated whether genetics is truly like finding a needle in a haystack. This year, our family is honored to share our story and ideas with you.

Our family’s DNA odyssey

My wife and I have a young adult-aged daughter who is on the autism spectrum. We first discovered that our daughter had autism when she was eight years old. As we struggled to understand autism and what it meant for our family, we learned that autism is uniquely expressed: Meeting one person with autism means that you have met one person with autism. 

Long fascinated with genomics, my wife and I wondered how our DNA may have contributed to her condition, and we set out to learn all that we could. It was the beginnings of this diagnostic odyssey that gave expression to my second career as a citizen scientist. My professional background in supercomputing, software engineering, and medical imaging were a good start to apply scientific principles and gain insights.

We began our journey by talking with our family doctor, then my wife and I had our whole genomes sequenced through the Understand Your Genome project. Later, we crowdsourced the sequencing of her genome and began looking for genetic clues. By applying trio analysis to our family data, we discovered some preliminary findings: Our daughter has deletions in the NRXN1 gene and in a large region of chromosome 16, which have been found to be widely associated with developmental issues including autism. It looks like my wife and I have each contributed some variant alleles, but we are being careful about interpreting these findings because our WGS data and our daughter’s were processed through different pipelines, which could lead to inconsistent results.

Trio analysis of the NRXN1 locus shows a compound heterozygous deletion, with each parent possibly contributing one allele (visualization by VarSeq from Golden Helix). 

To continue our journey, I want to reprocess our family’s WGS data with the latest GATK Best Practices, in the hope that this will give us a consistent baseline. I came across Terra through the book Genomics in the Cloud, which I picked up to help me learn more about GATK. I led an online book club in early 2021 based on the book, and subsequently moved our WGS data to the Terra platform. Now I am using the GATK Whole Genome Analysis Pipeline in Terra to reprocess our data. Working with Terra has been challenging, but highly satisfying because it provides access to industry standard genomics tools.

From personal genomics to citizen science

My family’s main goal with this project is to make meaningful discoveries about the genetic basis of our daughter’s autism. In 2015, genetics could explain the heritability of autism spectrum disorder in approximately 1 in 5 cases. Amazingly, that number has increased to 4 in 5 cases today. 

Our daughter (who drew this image) is on the left. At the time, she represented the 1 in 5 people whose autism could be explained by genetics.

Yet there is more to be gained. Although whole genome sequencing may not provide directly actionable results for autism itself, WGS can make a huge difference for parents who discover a comorbid, but treatable condition. By sharing our data and our findings with others, we can accelerate medical knowledge. 

A growing number of projects offer opportunities for non-scientists to contribute in various forms to the advancement of biomedical research. In U.S. healthcare, one of the largest citizen science projects—All of Us—seeks one million people to share their unique health data to speed up medical research. By creating a national resource that reflects and supports the broad diversity of the U.S., the goal of All of Us is to advance precision medicine for all. 

We have enrolled in the All of Us project and are looking forward to doing our part. I find it inspiring that this is something we can all contribute to, as citizens, even those of us who are not researchers. 

Looking to the future

At its core, citizen science is a collaboration between scientists and those who are curious and motivated to contribute to scientific knowledge. As our family’s odyssey unfolds, I like to reflect about what I see out here on the bleeding edge of research, and how it could be applied to improve outcomes for patients in the real-world. 

In community practice, many medical providers have limited knowledge of autism. Due to a lack of effective data sharing and awareness, an undiagnosed person with autism who walks through the door of a hospital may appear like a rare disease patient. A clinician evaluating them would miss out on a huge amount of valuable context. How could we improve the system so that clinicians could more effectively recognize the underlying context of that person’s condition? We can address some of these issues with machine learning, but that requires pooling together huge amounts of data, and much of that data is difficult to access.

As a citizen scientist, I see an enormous opportunity to combine research data with real-world data and evidence across healthcare delivery organizations. Common ontologies and interoperability standards are making it increasingly easy to pool de-identified datasets to test hypotheses on synthetic data—realistic-but-not-real data—to gain insights. A recent “call to action” encourages citizen scientists to evaluate the utility of this method precisely because data can be shared without disclosing the identities of anyone involved. Done ethically and responsibly, this synthetic DNA approach has the potential to accelerate autism research and deliver new benefits to patients.

This is the perspective I have gained from my journey so far. By asking questions and continuing to discover more about what our genomes contain, I have been fortunate to learn much about scientific principles, bioinformatics, and a bit about the genetic basis of autism. Although it is at times a challenging road, I have found that the path of personal genomics and citizen science is a satisfying way to find answers to the questions that my family faces. I hope this story will inspire others to explore, and perhaps let researchers and clinicians see patients and their families as potential collaborators in the quest to understand complex conditions like autism.

Big data: From medical imaging to genomics

Pickard-KT-and-Kimberly
KT & Kimberly Pickard

In 2006, a Scientific American article written by George Church, “Genomics for All,” rekindled my interest in genomics. I went back to school in 2009 to contemplate the business of genomic medicine, and celebrated my MBA by writing a Wikipedia entry for the word, “Exome.” I was hooked.

We started our odyssey by genotyping our family using 23andMe, and later my wife and I had our whole genomes sequenced. Realizing that genomics were starting to yield clinically useful information, we crowdsourced the sequencing of our kid’s genomes to look for genetic clues in their autism. We found interesting results, gave talks and wrote papers.

imaging-to-genomics-2014-03-06

Along the way, I realized that medical imaging and genomics are highly complementary: genomics informs or identifies conditions, and radiology localizes them. Sarah-Jane Dawson pointed this out at a Future of Genomic Medicine conference in 2014.

DIY genomics, autism, and coffee on Mendelspod

I have been a long-time listener to the intelligent and informative podcasts on Mendelspod, a site that connects people and ideas in life sciences. (Most nights you can find me listening to Mendelspod while I do the dishes.) I tuned-in sometime in 2012 and created a mental map of the industry by listening to every podcast I could find. A steady diet of listening to the latest developments in the industry has allowed me to talk about genomics with ease at meetups, tweetups and conferences. (OK, going back to school helped, too.) Somewhere along the way I decided that I would do something worthy of being interviewed on the show.

Well, last week I got my wish when my interview was posted on Mendelspod. I talked about our crowdfunded family trio sequencing project, autism, and even “coming out” of the research closet after being invited to speak at a conference in China last year. We explored parallels between my career in medical imaging and the future of genomic medicine (more in this blog post).

We concluded the interview by talking about Genomics Coffee, a (now defunct) discussion group that met in San Francisco.

Many thanks to Theral Timpson and Ayanna Monteverdi, co-producers of Mendelspod, for their great show.

DIY Genomics at MindEx 2015

image
I recently presented results from our DIY genomics project at MindEx 2015 held at Harvard’s very Hogwarts-looking Sanders Theatre.

Hosted by the Mind First Foundation, this conference enabled participants in the Personal Genome Project to hear first-hand how their health data could be used in research, especially mental health research. The second day of the conference, the “PGPalooza,” let PGP participants directly interact with researchers to select projects of interest and have their questions answered immediately.

James Tao graciously edited this 25-minute video of my talk about family trio sequencing and autism:

Also, special thanks to Alex Hoekstra, co-founder of Mind First, for the invitation to this event.

Additional resources: Video Slides

Finding Genetic Clues in Autism with Family Trio Sequencing

Yesterday, I presented preliminary findings at the 2015 Clinical Genome Conference in San Francisco from our family trio sequencing project. In this crowdsourced project on experiment.com, I looked for genetic clues to autism in our adult-aged daughter. While the talk focused on the “DIY” aspects of how to accomplish WGS sequencing, this post focuses on genetic findings.

Overview

The project began with a crowdsourced effort to raise $1,750 to sequence our daughter’s genome, and took slightly more than two months to complete. After working with AllSeq and HudsonAlpha to obtain WGS data, we used VarSeq from Golden Helix to search for unique variants, as well as browse whole genome sequence data. After filtering our variant call data to focus on high quality exome variants, we examined 52 potentially damaging de novo and compound heterozygous changes suggested by VarSeq’s family trio analysis. Although this first approach did not yield clues specific to autism, it did suggest a number of secondary findings that are not addressed here. The second approach was to start with genes having known associations with autism and then look for them in our daughter’s DNA. Several curated databases have between 200 and 1200 genes, but again, none produced meaningful results. The third method was to look at known “hot spots” in autism genetics, such as variants in the NRXN1 gene, as well as known structural variation on chromosome 16. Changes to NRXN1 and so-called “16p” changes are discussed below.

Findings 

  • NRXN1-Deletion-AnnotatedNRXN1 – Deletions in NRXN1 are associated with a wide spectrum of developmental disorders, including autism. Our daughter has a 10bp exonic deletion (-GT repeat) followed by what appears to be a 9bp compound heterozygous deletion in NRXN1. Both deletions are partially present in both parents and overlap; the deletions appear to have been accumulatively inherited. Due to the high number of sequence repeats, copy number variation (CNV) should clarify the significance of this finding.
  • 16p11.2-Deletion-Annotated16p deletions – Deletions and duplications in this 593-kilobase section of chromosome 16 are widely associated with developmental issues, including autism. Our daughter appears to have dozens of deletions in this region, some inherited and some not. However, since the variants in our daughter’s DNA were called using a different software pipeline, it is difficult to draw meaningful conclusions (see “Limitations,” below). For example, some variants in our daughter’s DNA were shown to map to multiple locations on the genome, suggesting either large copy number variation or genomic regions that were difficult to map. Copy number variation (CNV) analysis will also elucidate this region. Once reprocessed, these findings may provide potential genetic clues to our daughter’s condition.

Limitations

My wife and I received our WGS data in March 2014. Our samples were sequenced at 30x coverage using Illumina’s HiSeq platform and then aligned and called with Illumina’s pipeline, Isaac. Our daughter’s DNA was sequenced in May 2015 at 30x coverage, but on Illumina’s newest platform, the Illumina HiSeq X Ten. The difference is that our daughter’s DNA was aligned using BWA, followed by variant calling with GATK “best practice” workflow. To accurately compare genomes in family trio analysis, all samples must be processed using the same software pipeline. Otherwise, variants may be aligned and called differently. My wife and I must go back to the (almost) original FASTQ data and start over. Although Illumina did not provide these files with our results, Mike Lin explains how to extract FASTQ files from Illumina data in this great blog series. Hint: it involves a utility called Picard (no relation). Until we reprocess our WGS data using the same bioinformatics pipeline, all results should be considered preliminary.

Conclusion

This project demonstrated that personal genomics is very real, and has the potential to answer complex medical questions. Today, answering those questions using whole genome data and family trio analysis requires a combination of genetic, bioinformatic and domain knowledge to reach meaningful conclusions. Validating those conclusions remains challenging, from rare diseases to complex conditions such as autism. Currently, personal genomics has a similar feel to “homebrew” computer clubs from the late ’70s–the community is still very small, collegial, and willing to share “tips and tricks” to advance the field.

Although we encountered some “dark alleys” during the analysis, our preliminary results suggest that family trio sequencing can indeed provide genetic clues to autism. We will continue to refine the analysis by reprocessing the data with the same pipeline, which should resolve questions in the 16p region, as well as the potential deletion in NRXN1. Further, CNV analysis should answer structural variation questions that are also known to be associated with autism spectrum conditions

Acknowledgements

I would like to thank our backers and the team at experiment.com, as well as Gabe Rudy from Golden Helix. Gabe was very generous with his time, knowledge and insight. Finally, I would like to thank my wife, Kimberly, for her patience and fortitude. 

Additional resources: Slides

Searching for Genetic Clues in Autism with Family Trio Sequencing

This entry was cross-posted from DNAdigest on April 22, 2015.

Amazingly, the cost of whole genome sequencing is now 100,000 times less expensive than it was a dozen years ago. If the Tesla Model S followed this trajectory, you could buy one today for less than $1 USD. This super logarithmic decline puts genomics on par with desktop publishing or 3D printing—it has become something that you can affordably do yourself.

My wife, Kimberly, and I were excited about the prospect of having our genomes sequenced.Pickard-KT-and-Kimberly Our daughter has autism, and like many parents of special needs children, we were eager to explore the underlying causes of her condition. We “got genomed” last year by enrolling in Illumina’s Understand Your Genome program. We received our whole genome sequencing (WGS) data, as well as limited predisposition and carrier screening for a number of Mendelian traits. As many DNAdigest readers know, the cost of WGS continues to drop in price, almost to the $1,000 genome that Illumina announced last year. Kimberly and I were intrigued to learn that we were both carriers of some rare genetic variants. Could our genetic idiosyncrasies be contributing to our daughter’s autism?

After being sequenced, I followed the lead of DNAdigest contributor Manuel Corpas and posted my whole genome sequence online. I decided to publish my genome without restrictions in an attempt to lead by example. In the future, platforms like Repositive will make it easier for consumers to share genomic information and maintain privacy.

Kimberly and I recently launched a project on experiment.com to crowd fund the whole genome sequencing of our adult-aged daughter. In this project, we will look for genetic clues to her autism using family trio sequencing. Family trio sequencing is a powerful technique that can explain genetic conditions by looking at differences in DNA between Mom, Dad and an affected child.

We were thrilled when the sequencing project was funded the first day. In the process, we received feedback from other parents who wanted to learn more about the technique, so we added a stretch goal to cover publishing costs in an open access journal. The research paper will document our findings, as well as explain how family trio sequencing can be used to search for answers to health conditions and rare diseases.

Information sharing can indeed be very personal, but we find the possibility of catalyzing new areas of health research compelling. With this project, we hope to find clues that will contribute, if only in a small way, to a growing body of genomics research that supports a broader explanation of autism.

Autism Hackathon in San Francisco

This weekend I collaborated with Melanie Swan at the Autism Hackathon in San Francisco. Sponsored by Twilio and supported by Autism Speaks, this hackathon brought together 50+ developers and designers who created prototype applications for the autism community. At the end of the 24-hour event, a dozen teams presented 5-minute “pitches” for their ideas.

More here: http://www.autismspeaks.org/news/news-item/autism-speaks-and-twilio-team-hacking-autism

Our entry, “MindFlower,” is an “eLabor Marketplace for ASD Solvers.” Think about getting paid for solving puzzles like the ones in FoldIt–that’s the idea.

For more information about MindFlower, see these slides on slideshare.net

Note: MindFlower is just a concept, not an actual business or organization.

Image      (Image credit: Kimberly Pickard)