Karma - sporedata/researchdesigneR GitHub Wiki

General description

The Karma Cohort is a 70,877-women prospective screening cohort that began in 2011 [1]. Blood was supplied by the participants, which was preserved at the Karolinska Institutet Biobank [https://ki.se/en/research/ki-biobank]. Women who took part in the study also completed a detailed questionnaire and authorized their data to be matched to health-care databases and medical records. Images are saved each time a participant performs a mammography. The current rate is around 25,000 photographs every month. As part of a partnership with the Breast Cancer Association Consortium, about 20,000 Karma participants were genotyped using the iCOGS or Oncoarry chip (for example, see [2]). Please visit [1] for a complete description of the Karma Cohort.

Variable categories

  • The Karma core variables are a collection of frequently used analytic variables drawn from the Karma datasets. Demographics, length/weight/bodyshape, reproductive health, painkiller usage, alcohol and tobacco use, breast illnesses and cancer, other diseases and cancer, cancer in the family, BRCA mutation, quality of life, physical activity, and energy kcal consumption are all included in the dataset. Variables on the Karma unit that performed the blood sample, biobank aliquot saldo, imaging breast density grading, breast cancer risk scoring, and cancer prevalence/incidence figures are also included in the dataset.

Limitations

  • Participants of the KARMA cohort were screening attendants and are highly educated and tend to have a healthier lifestyle than the participants of most studies.

Related publications

Data Access

Karma research platform

References

[1] Gabrielson M, Eriksson M, Hammarström M, Borgquist S, Leifland K, Czene K, Hall P. Cohort profile. Cohort profile: The KarolinskaMammography Project for Risk Prediction of Breast Cancer (KARMA). Int J Epidemiol. 2017 Feb 9. doi: 10.1093/ije/dyw357. PMID: 2818025

[2] Michailidou K, .., Czene K, ..Hall P, ….., Easton DF. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017 Oct 23. doi: 10.1038/nature24284.

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