Tag: genome sequencing

Genetic Study of Coffee’s Mental Health Links has Contradictory Results

Photo by Mike Kenneally on Unsplash

Coffee drinking is a heritable habit, and one that carries a certain amount of genetic baggage. Caffeinated coffee is a psychoactive substance, notes Sandra Sanchez-Roige, PhD, an associate professor at University of California San Diego. She is the corresponding author of a study published in the journal Neuropsychopharmacology that compared coffee-consumption characteristics from a 23andMe database in the United States with the UK Biobank.

Lead author Hayley H. A. Thorpe, PhD, at Western University in Ontario, explained that the team collected genetic data as well as self-reported coffee-consumption numbers to assemble a genome-wide association study (GWAS). The idea was to make connections between the genes that were known to be associated with coffee consumption and the traits or conditions related to health.

“We used this data to identify regions on the genome associated with whether somebody is more or less likely to consume coffee,” Thorpe explained. “And then identify the genes and biology that could underlie coffee intake.”

UC San Diego professor Abraham Palmer, PhD is also a lead researcher on the paper. He said that most people are surprised that there is a genetic influence on coffee consumption. “We had good reason to suspect from earlier papers that there were genes that influence how much coffee someone consumes,” he said. “And so, we weren’t surprised to find that in both of the cohorts we examined there was statistical evidence that this is a heritable trait. In other words, the particular gene variants that you inherit from your parents influence how much coffee you’re likely to consume.”

Sanchez-Roige said the genetic influence on coffee consumption was the first of two questions the researchers wanted to address.

“The second is something that coffee lovers are really keen on learning,” Sanchez-Roige said. “Is drinking coffee good or bad? Is it associated with positive health outcomes or not?”

The answer is not definitive. The group’s genome-wide association study of 130 153 U.S.-based 23andMe research participants was compared with a similar UK Biobank database of 334 649 Britons, revealing consistent positive genetic associations between coffee and harmful health outcomes such as obesity and substance use. A positive genetic association is a connection between a specific gene variant (the genotype) and a specific condition (the phenotype). Conversely, a negative genetic association is an apparent protective quality discouraging the development of a condition. The findings get more complicated when it comes to psychiatric conditions.

“Look at the genetics of anxiety, for instance, or bipolar and depression: In the 23andMe data set, they tend to be positively genetically correlated with coffee intake genetics,” Thorpe said. “But then, in the UK Biobank, you see the opposite pattern, where they’re negatively genetically correlated. This is not what we expected.”

She said there were other instances in which the 23andMe set didn’t align with the UK Biobank, but the greatest disagreement was in psychiatric conditions.

“It’s common to combine similar datasets in this field to increase study power. This information paints a fairly clear picture that combining these two datasets was really not a wise idea. And we didn’t end up doing that,” Thorpe said. She explained that melding the databases might mask effects, leading researchers toward incorrect conclusions – or even cancelling each other out.

Sanchez-Roige says the researchers have some ideas about how the differences in results arose. To begin with, there was an apples-and-oranges aspect to the surveys. For instance, the 23andMe survey asked, “How many 5-ounce (cup-sized) servings of caffeinated coffee do you consume each day?” Compare it to the UK Biobank’s “How many cups of coffee do you drink each day? (Include decaffeinated coffee)”

Beyond serving size and the caffeinated/decaf divide, the surveys made no accommodation for the various ways coffee is served. “We know that in the U.K., they have generally higher preference for instant coffee, whereas ground coffee is more preferred in the U.S.,” Thorpe said.

“And then there’s the frappuccinos,” Sanchez-Roige added, citing the American trend of taking coffee loaded with sugary additives. Palmer mentioned other caffeinated drinks and especially in the context of the UK Biobank, tea, none of which were included in the GWAS, which addressed only coffee. Palmer added that the GWAS demonstrates the relationship between genotype and phenotype is more different than the relationship between coffee and tea.

“Genetics influences lots of things. For instance, it influences how tall you might be,” he said. “And those kinds of things probably would play out very similarly, whether you lived in the US or the UK But coffee is a decision that people make.”

Sanchez-Roige pointed out that coffee comes in a variety of forms, from instant to frappuccino, and is consumed amid cultural norms that differ from place to place. A person with a given genotype might end up having quite a different phenotype living in the UK versus the US.

“And that’s really what the data are telling us,” she said. “Because unlike height, where your behaviour doesn’t really have much to do with it, your behaviour and the choices you’re making in your environment play out in various ways. So the interaction between genotype and environment complicates the picture.”

The collaborators stressed the need for more investigation to unravel the relationships between genetics and the environment, focusing not only on coffee/caffeine intake but also other substance-use issues.

Source: University of California San Diego

Cheaper Way of Monitoring Coronavirus Variants

Researchers at Karolinska Institutet in Sweden have developed a technology for cost-effective surveillance of the global spread of new SARS-CoV-2 variants.  This could help low- and middle-income countries monitor variants in their own borders.

From the beginning of the pandemic, thousands of viral genomes have been sequenced in order to reconstruct the evolution and global spread of the coronavirus. Dependent on these is the identification of particularly concerning variants.

To achieve global surveillance of the SARS-CoV-2 genome, the sequencing and analysis of numerous samples cost-effectively is key. Therefore, researchers in the Bienko-Crosetto laboratory at Karolinska Institutet and Science for Life Laboratory (SciLifeLab) in Sweden have developed a new method, COVseq, that can be used for surveillance of the viral genome on a massive scale at a low cost.

Multiplex PCR (polymerase chain reaction) is used to make more copies of the virus. The samples are then labeled and pooled together in the same sequencing library, using a previous method developed in their laboratory and now adapted for SARS-CoV-2 analysis.

“By performing reactions in very small volumes and pooling together hundreds of samples into the same sequencing library, we can sequence potentially thousands of viral genomes per week at a cost of less than 15 dollars per sample,” said co-first author Ning Zhang, postdoctoral researcher at the Department of Medical Biochemistry and Biophysics, Karolinska Institutet.

Comparative analyses of 29 SARS-CoV-2 positive samples revealed that COVseq could detect small changes in the genome as well as standard methods. Analysing 245 additional samples, they showed that COVseq could also detect emerging variants of concern well. COVseq’s key advantage over existing methods is cost-effectiveness.

“Our inexpensive method could immediately be used for SARS-CoV-2 genomic surveillance by public health agencies and could also be easily adapted to other RNA viruses, such as influenza and dengue viruses,” said last author Nicola Crosetto, senior researcher at the Department of Medical Biochemistry and Biophysics, Karolinska Institutet.

Source: Karolinska Institutet

Journal information: COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance. Nature Communications, 23 June 2021, DOI: 10.1038/s41467-021-24078-9