Multi-Polygenic Analysis of Nicotine Dependence in Individuals of European Ancestry | Zendy

Victoria Risner | Zendy; Chelsie E. BencaBachman | Zendy; Lauren Bertin | Zendy; Alicia K. Smith | Zendy; Jaakko Kaprio | Zendy; John E. McGeary | Zendy; Elissa J. Chesler | Zendy; Valerie S. Knopik | Zendy; Naomi P. Friedman | Zendy; Rohan H. C. Palmer | Zendy

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Multi-Polygenic Analysis of Nicotine Dependence in Individuals of European Ancestry

Author(s) -

Victoria Risner,

Chelsie E. BencaBachman,

Lauren Bertin,

Alicia K. Smith,

Jaakko Kaprio,

John E. McGeary,

Elissa J. Chesler,

Valerie S. Knopik,

Naomi P. Friedman,

Rohan H. C. Palmer

Publication year - 2021

Publication title -

nicotine and tobacco research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.338

H-Index - 113

eISSN - 1469-994X

pISSN - 1462-2203

DOI - 10.1093/ntr/ntab105

Subject(s) - heritability , trait , nicotine dependence , demography , polygenic risk score , cotinine , neuroticism , medicine , clinical psychology , psychology , nicotine , biology , genetics , psychiatry , personality , single nucleotide polymorphism , social psychology , sociology , computer science , genotype , gene , programming language

Heritability estimates of nicotine dependence (ND) range from 40% to 70%, but discovery GWAS of ND are underpowered and have limited predictive utility. In this work, we leverage genetically correlated traits and diseases to increase the accuracy of polygenic risk prediction.

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