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Exact(6)
In conclusion, a significant association was observed between OGG1 germ line mutations and breast cancer risk.
In addition, two hospital-based studies reported positive associations between ATM mutations and breast cancer [ 12, 13].
Typical examples include sickle cell trait and malaria, BRCA2 mutations and breast carcinoma, and trinucleotide repeats and a variety of neurologic diseases, including Huntington disease.
The first study that reported an association between PALB2 mutations and breast cancer risk involved familial breast cancer cases and unaffected controls from the United Kingdom.
The first study that reported an association between PALB2 mutations and breast cancer risk came from a large case-control mutation screening initiative from the UK involving familial breast cancer cases and unaffected controls from the UK.
A recent population-based study provided little support of a role for ATM mutations and breast cancer; however, one variant was over-represented in breast cancers among African-American and Latina women [ 14].
Similar(54)
The association between PIK3CA mutation and breast cancer prognosis has been controversial [ 31].
The p53γ isoform may explain the inconsistent relationship between p53 mutation and breast cancer in the literature.
The p53γ isoform may explain the inconsistent relationship between p53 mutation and breast cancer reported in the literature.
See related editorial by Turner and Tutt, http://breast-cancer-research.com/content/14/6/115 Among women with a BRCA1 mutation and breast cancer, choice of chemotherapy is a critical issue.
Inherent differences in p53 signaling and function according to cell type of origin could account for the association between rates of p53 mutation and breast cancer subtype.
Related(17)
variants and breast
mutations and mammary
mutations and cancer
mutations and heart
mutations and tissue
transformants and breast
variations and breast
transfer and breast
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mutations and myopathy
mutations and disease
mutations and protein
mutations and balancer
mutations and drug-target
mutations and lack
mutations and diverge
mutations and tumor
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