There is a genetic link to smoking and drinking

Partitioning heritability of genetic variants across common diseases: a case study with African, East Asian and European ancestry

More than 3,500 genetic variations that potentially affect smoking and drinking behaviour have been identified in a study involving almost 3.4 million people with African, American, East Asian and European ancestry.

721 of the associated variations were only identified by the GWAS and not by an ancestry-naive model used for comparison. It is believed that large and diverse population samples increase the power of the studies.

“Epigenetic and environmental factors are really important to turn off and turn on the genes. ehime Temel, who studies medical genetics at Bursa Uluda University, Turkey, says that maybe it is because of that reason.

The analysis did not include people from Middle Eastern and Indian populations, who are more likely to smoke. In the Middle East, tobacco use is very common. There is a huge consumption of the shisha waterpipe” says Mahmut Ergören, a medical biologist at the Near East University in Nicosia, Cyprus. He said that by including these populations in the analysis, it would improve its accuracy and identify more genetic associations.

An article about a group of people who said they were all from the same area. Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases. Am. J. Hum. Genet. 95, 535–552 was published the following year.

Risk in relatives and heritability are included in the review. Biol. The Psychiatry 89, 11–20 will be published in the year 2021.

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Weiner, D. J., Gazal, S., Robinson, E. B. & O’Connor, L. J. Partitioning gene-mediated disease heritability without eQTLs. Am. It’s J. Hum. The Genet.109 was published in the year 122.

There are some overlap of e QTLs and GWAS hits due to differences in discovery. The preprint was published at bioRxiv.

Prevalence of returnable genetic results based on recognizable phenotypes among children with a brain disorder. Preprint at bioRxiv (2021).

Kosmicki, J. A. et al. Refining the role of de novo protein-truncating variants in neurodevelopmental disorders by using population reference samples. Nat. Genet. 49, 504–510 (2017).

Samocha, K. E. Regional missense constraint improves variant deleteriousness prediction The manuscript is at bioRxiv.

Biddinger, K. J. There is a risk of Hypertrophic cardiomyopathy caused by rare and common genetic variation. JAMA Cardiol. 7, 715–722 (2022).

Fry, A. et al. Comparison of sociodemographic and health-related characteristics of UK Biobank participants with those of the general population. Am. J Epidemiol.

Zhou, W. et al. Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts. Nat. Genet. 52, 634–639 (2020).

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