-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
DNA redefines human disease |
Usually, doctors diagnose various diseases based on the patient's description and clinical symptoms
.
But in recent years, genome-wide association studies (GWAS) have helped scientists explore the genetic factors of different diseases
Although, in the past few decades, scientists have conducted intensive GWAS, but its applicability is not broad enough
.
For example, most GWAS use European population data, and there is still a lack of a systematic way to interpret these results and place them in a specific context
In order to achieve this goal, the team conducted GWAS using data from the Japanese Biobank, which includes medical data from 180,000 people, involving 220 health-related diseases and characteristics
.
The researchers said that these data make the study very diverse and comprehensive, especially in Asian populations
"We hope to expand the scope of GWAS and obtain as many meaningful insights as possible from this
biobank," said Saori Sakaue, the lead author of the study
.
"In fact, we found that 108 phenotypes have never appeared in East Asian GWAS,
" said Masahiro Kanai, co-first author of the study
.
Then, the researchers combined the data from the British Biobank and the Finnish Genebank to conduct a cross-population meta-analysis
.
The analysis involved 628,000 people and identified more than 14,000 genomic loci with phenotypic significance
"We believe that it is extremely important to allow multiple people to access our data
.
We hope to promote global cooperation and identify meaningful follow-up research
Due to the complexity of GWAS results and disease genetics, the research team performed statistical deconvolution calculations on the aggregated statistical data and other data
.
This allows researchers to draw conclusions about diseases from huge data sets
"We can pinpoint the common mechanisms that specific genetic variants are associated with various diseases in different populations
.
These mechanisms in turn help to reassess diseases through human genetics,
Experts believe that this work provides breakthrough results that will help researchers better detect human diseases through genetics
.
(Source: Tang Yichen, China Science News)
Related paper information: https://doi.
org/10.
1038/s41588-021-00931-xhttps://doi.
org/10.
1038/s41588-021-00931-x