Genome-wide interaction analysis identified low-frequency variants with sex disparity in lung cancer risk

Y. Li; O. Melander; H. Brunnström; C.I. Amos; INTEGRAL-ILCCO lung cancer consortium; et al.

doi:10.1093/hmg/ddac030

Genome-wide interaction analysis identified low-frequency variants with sex disparity in lung cancer risk

Y. Li, O. Melander, H. Brunnström, C.I. Amos, INTEGRAL-ILCCO lung cancer consortium, et al.

Baylor College of Medicine

Research output: Contribution to journal › Article › peer-review

Abstract

Differences by sex in lung cancer incidence and mortality have been reported which cannot be fully explained by sex differences in smoking behavior, implying existence of genetic and molecular basis for sex disparity in lung cancer development. However, the information about sex dimorphism in lung cancer risk is quite limited despite the great success in lung cancer association studies. By adopting a stringent two-stage analysis strategy, we performed a genome-wide gene-sex interaction analysis using genotypes from a lung cancer cohort including ~ 47 000 individuals with European ancestry. Three low-frequency variants (minor allele frequency

Original language	English
Pages (from-to)	2831-2843
Number of pages	13
Journal	Human Molecular Genetics
Volume	31
Issue number	16
DOIs	https://doi.org/10.1093/hmg/ddac030
Publication status	Published - 2022 Aug 15

Subject classification (UKÄ)

Cancer and Oncology
Medical Genetics

Free keywords

case control study
female
genetic predisposition
genetics
genome-wide association study
human
lung
lung tumor
male
single nucleotide polymorphism
Case-Control Studies
Female
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Lung
Lung Neoplasms
Male
Polymorphism, Single Nucleotide

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1093/hmg/ddac030Licence: CC BY

Cite this

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abstract = "Differences by sex in lung cancer incidence and mortality have been reported which cannot be fully explained by sex differences in smoking behavior, implying existence of genetic and molecular basis for sex disparity in lung cancer development. However, the information about sex dimorphism in lung cancer risk is quite limited despite the great success in lung cancer association studies. By adopting a stringent two-stage analysis strategy, we performed a genome-wide gene-sex interaction analysis using genotypes from a lung cancer cohort including ~ 47 000 individuals with European ancestry. Three low-frequency variants (minor allele frequency ",

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doi = "10.1093/hmg/ddac030",

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T1 - Genome-wide interaction analysis identified low-frequency variants with sex disparity in lung cancer risk

AU - Li, Y.

AU - Melander, O.

AU - Brunnström, H.

AU - Amos, C.I.

AU - INTEGRAL-ILCCO lung cancer consortium

AU - et al.

PY - 2022/8/15

Y1 - 2022/8/15

N2 - Differences by sex in lung cancer incidence and mortality have been reported which cannot be fully explained by sex differences in smoking behavior, implying existence of genetic and molecular basis for sex disparity in lung cancer development. However, the information about sex dimorphism in lung cancer risk is quite limited despite the great success in lung cancer association studies. By adopting a stringent two-stage analysis strategy, we performed a genome-wide gene-sex interaction analysis using genotypes from a lung cancer cohort including ~ 47 000 individuals with European ancestry. Three low-frequency variants (minor allele frequency

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KW - genetic predisposition

KW - genetics

KW - genome-wide association study

KW - human

KW - lung

KW - lung tumor

KW - male

KW - single nucleotide polymorphism

KW - Case-Control Studies

KW - Female

KW - Genetic Predisposition to Disease

KW - Genome-Wide Association Study

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KW - Lung Neoplasms

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Genome-wide interaction analysis identified low-frequency variants with sex disparity in lung cancer risk

Abstract

Subject classification (UKÄ)

Free keywords

UN SDGs

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