A genome-wide association study on meat consumption in a Japanese population : the Japan Multi-Institutional Collaborative Cohort study.

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6.

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Supplementary material

The supplementary material for this article can be found at

https://doi.org/10.1017/jns.2021.49.

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Acknowledgments

We thank all the staff at the Laboratory for Genotyping

Development, Center for Integrative Medical Sciences,

RIKEN, and the staff of the BioBank Japan project. We

thank Drs Nobuyuki Hamajima and Hideo Tanaka, the past

principal investigators of the J-MICC, for their continuous

support for the present study.

This study was supported by Grants-in-Aid for Scientific

Research for Priority Areas of Cancer (No. 17015018) and

Innovative Areas (No. 221S0001), and by JSPS KAKENHI

Grant Nos 19H03902, 16H06277 [CoBiA] and 15H02524)

from the Japanese Ministry of Education, Culture, Sports,

11.

12.

13.

14.

Micha R, Wallace SK & Mozaffarian D (2010) Red and processed

meat consumption and risk of incident coronary heart disease,

stroke, and diabetes mellitus: a systematic review and meta-analysis.

Circulation 121, 2271–2283.

Sinha R, Cross AJ, Graubard BI, et al. (2009) Meat intake and mortality: a prospective study of over half a million people. Arch Intern

Med 169, 562–571.

Pan A, Sun Q, Bernstein AM, et al. (2011) Red meat consumption

and risk of type 2 diabetes: 3 cohorts of US adults and an updated

meta-analysis. Am J Clin Nutr 94, 1088–1096.

Aune D, Ursin G & Veierod MB (2009) Meat consumption and the

risk of type 2 diabetes: a systematic review and meta-analysis of

cohort studies. Diabetologia 52, 2277–2287.

Chan DS, Lau R, Aune D, et al. (2011) Red and processed meat and

colorectal cancer incidence: meta-analysis of prospective studies.

PLoS One 6, e20456.

Saito E, Tang X, Abe SK, et al. (2020) Association between meat

intake and mortality due to all-cause and major causes of death

in a Japanese population. PLoS One 15, e0244007.

Lee JE, McLerran DF, Rolland B, et al. (2013) Meat intake and

cause-specific mortality: a pooled analysis of Asian prospective

cohort studies. Am J Clin Nutr 98, 1032–1041.

Chamoun E, Hutchinson JM, Krystia O, et al. (2018) Single nucleotide polymorphisms in taste receptor genes are associated with

snacking patterns of preschool-aged children in the Guelph

Family Health Study: a pilot study. Nutrients 10, 153.

Knaapila A, Hwang LD, Lysenko A, et al. (2012) Genetic analysis of

chemosensory traits in human twins. Chem Senses 37, 869–881.

Eny KM, Wolever TM, Corey PN, et al. (2010) Genetic variation in

TAS1R2 (Ile191Val) is associated with consumption of sugars in

overweight and obese individuals in 2 distinct populations. Am J

Clin Nutr 92, 1501–1510.

Hwang LD, Lin C, Gharahkhani P, et al. (2019) New insight into

human sweet taste: a genome-wide association study of the perception

and intake of sweet substances. Am J Clin Nutr 109, 1724–1737.

Kawafune K, Hachiya T, Nogawa S, et al. (2020) Strong association

between the 12q24 locus and sweet taste preference in the Japanese

population revealed by genome-wide meta-analysis. J Hum Genet 65,

939–947.

Pearson TA & Manolio TA (2008) How to interpret a genome-wide

association study. JAMA 299, 1335–1344.

Suzuki T, Nakamura Y, Matsuo K, et al. (2020) A genome-wide

association study on fish consumption in a Japanese population –

the Japan Multi-Institutional Collaborative Cohort study. Eur J

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journals.cambridge.org/jns

15.

16.

17.

18.

19.

20.

21.

22.

23.

24.

25.

26.

Clin Nutr. doi:10.1038/s41430-020-00702-7 (Online ahead of print

version).

Igarashi M, Nogawa S, Kawafune K, et al. (2019) Identification of

the 12q24 locus associated with fish intake frequency by genomewide meta-analysis in Japanese populations. Genes Nutr 14, 21.

Nakagawa-Senda H, Hachiya T, Shimizu A, et al. (2018) A genomewide association study in the Japanese population identifies the

12q24 locus for habitual coffee consumption: The J-MICC Study.

Sci Rep 8, 1493.

Matoba N, Akiyama M, Ishigaki K, et al. (2020) GWAS of 165,084

Japanese individuals identified nine loci associated with dietary

habits. Nat Hum Behav 4, 308–316.

Niarchou M, Byrne EM, Trzaskowski M, et al. (2020)

Genome-wide association study of dietary intake in the UK biobank study and its associations with schizophrenia and other traits.

Transl Psychiatry 10, 51.

Hamajima N (2007) The Japan Multi-Institutional Collaborative

Cohort Study (J-MICC Study) to detect gene-environment interactions for cancer. Asian Pac J Cancer Prev 8, 317–323.

Tokudome S, Goto C, Imaeda N, et al. (2004) Development of a

data-based short food frequency questionnaire for assessing nutrient

intake by middle-aged Japanese. Asian Pac J Cancer Prev 5, 40–43.

Imaeda N, Goto C, Sasakabe T, et al. (2021) Reproducibility and validity of food group intake in a short food frequency questionnaire for

the middle-aged Japanese population. Environ Health Prev Med 26, 28.

Goto C, Tokudome Y, Imaeda N, et al. (2006) Validation study of

fatty acid consumption assessed with a short food frequency questionnaire against plasma concentration in middle-aged Japanese.

Scand J Nutr 2, 77–82.

Tokudome Y, Goto C, Imaeda N, et al. (2005) Relative validity of a

short food frequency questionnaire for assessing nutrient intake

versus three-day weighed diet records in middle-aged Japanese.

J Epidemiol 15, 135–145.

Wakai K (2009) A review of food frequency questionnaires developed and validated in Japan. J Epidemiol 19, 1–11.

Suzuki T, Nakamura Y, Doi Y, et al. (2021) A genome-wide association study on confection consumption in a Japanese population –

the Japan Multi-Institutional Collaborative Cohort study. Br J Nutr

Feb 26, 1–37. doi:10.1017/S0007114521000684 (Online ahead of

print version).

Report of the Subdivision on Resources The Council for Science

and Technology Ministry of Education, Culture, Sports, Science,

and Technology, JAPAN (2005) Standard Tables of Food Composition

in Japan. Fifth Revised and Enlarged. Tokyo: Official Gazette

Cooperation of Japan.

27.

28.

29.

30.

31.

32.

33.

34.

35.

36.

37.

38.

39.

40.

41.

Purcell S, Neale B, Todd-Brown K, et al. (2007) PLINK: a tool set

for whole-genome association and population-based linkage analyses. Am J Hum Genet 81, 559–575.

Chang CC, Chow CC, Tellier LC, et al. (2015) Second-generation

PLINK: rising to the challenge of larger and richer datasets.

Gigascience 4, 7.

Price AL, Patterson NJ, Plenge RM, et al. (2006) Principal components analysis corrects for stratification in genome-wide association

studies. Nat Genet 38, 904–909.

1000 Genomes Project Consortium, Abecasis GR, Auton A, et al.

(2012) An integrated map of genetic variation from 1,092 human

genomes. Nature 491, 56–65.

Yamaguchi-Kabata Y, Nakazono K, Takahashi A, et al. (2008)

Japanese population structure, based on SNP genotypes from

7003 individuals compared to other ethnic groups: effects on

population-based association studies. Am J Hum Genet 83,

445–456.

Delaneau O, Marchini J & Zagury J (2011) A liear complexity phasing method for thousands of genomes. Nat Methods 9, 179–181.

Das S, Forer L, Schönherr S, et al. (2016) Next-generation genotype

imputation service and methods. Nat Genet 48, 1284–1287.

Das S. DosageConvertor. https://genome.sph.umich.edu/wiki/

DosageConvertor.

Delongchamp R, Faramawi MF, Feingold E, et al. (2018) The association between SNPs and a quantitative trait: power calculation.

Eur J Environ Public Health 2, 1–7.

Visscher PM, Wray NR, Zhang Q, et al. (2017) 10 years of GWAS

discovery: biology, function, and translation. Am J Hum Genet 101,

5–22.

Gogarten SM, Bhangale T, Conomos MP, et al. (2012) GWAS

tools: an R/bioconductor package for quality control and analysis

of genome-wide association studies. Bioinformatics 28, 3329–3331.

Turner SD (2014) Qqman: an R package for visualizing GWAS

results using Q-Q and Manhattan plots. biorXiv. doi:10.1101/

005165.

Suzuki H, Nakamura Y, Matsuo K, et al. (2021) A genome-wide

association study in Japanese identified one variant associated

with a preference for a Japanese dietary pattern. Eur J Clin Nutr.

75, 937–945.

da Cunha Veloso MC, da Silva VM, Santos GV, et al. (2001)

Determination of aldehydes in fish by high-performance liquid

chromatography. J Chromatogr Sci 39, 173–176.

Tanaka T, Muramatus K, Kim HR, et al. (1998) Comparison of

volatile compounds from Chungkuk-Jang and Itohiki-Natto.

Biosci, Biotechnol, Biochem 62, 1440–1444.

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