The scores had good calibration on the odds ratio scale—both overall and in the tails—in 20,000 independent cases and controls.
ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
Polygenic risk scores for breast cancer and estrogen-receptor subtypes, developed using individual-level data on 170,000 cases and controls from the Breast Cancer Association Consortium. 313 SNPs can identify 1% of women at 4.3-fold increased risk of ER+ disease.https://twitter.com/AJHGNews/status/1073251358407446529 …
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By using individual data, authors were able to prune using conditional regression analyses, rather than pairwise r2 values, as typically done in “prune and threshold” analyses. They also performed regularized regression (lasso).
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Identifying women in the general population with 3-4x risks of breast cancer: definitely warrants a closer look at clinical utility and implementation challenges. Looking is happening, so watch this space.
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BIG IMPORTANT CAVEAT: these scores were developed and validated in European-ancestry women. Similar prediction accuracy should be achievable in other groups, but will take larger population-specific studies to realize.
ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
ಸಂವಾದದ ಮುಕ್ತಾಯ
ಹೊಸ ಸಂವಾದ -
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So now it would be interesting to pair this up with mammogram data and see if there is a relationship with early detection, and with subgroups where screening is particularly effective or, reverse, not so necessary
ಧನ್ಯವಾದಗಳು. Twitter ಇದನ್ನು ನಿಮ್ಮ ಕಾಲರೇಖೆಯನ್ನು ಉತ್ತಮಗೊಳಿಸಲು ಬಳಸುತ್ತದೆ. ರದ್ದುಗೊಳಿಸುರದ್ದುಗೊಳಿಸು
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ಲೋಡಿಂಗ್ ಸಮಯ ಸ್ವಲ್ಪ ತೆಗೆದುಕೊಳ್ಳುತ್ತಿರುವಂತೆನಿಸುತ್ತದೆ.
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