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Selection against genetic defects in semen donors
Author(s) -
Smith P. E.
Publication year - 1984
Publication title -
clinical genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.543
H-Index - 102
eISSN - 1399-0004
pISSN - 0009-9163
DOI - 10.1111/j.1399-0004.1984.tb00798.x
Subject(s) - offspring , population , medicine , genetic counseling , disease , selection (genetic algorithm) , genetics , pregnancy , biology , environmental health , artificial intelligence , computer science
Artificial insemination donor selection requires predicting which men are likely to beget the healthiest offspring. Methods are developed for calculating the “offspring excess recurrence risk”, /IR, for an anomaly in the offspring of an afflicted father. Mainly from published family survey and population data AK is computed for 38 disorders. From a small survey a value for the with‐treatment “affliction burden”, B., is assigned to each anomaly. For each disorder the “offspring excess burden expectation” is z!RB,. Defects such as cataract, hereditary Parkinson disease, psoriasis, seropositive rheumatoid arthritis, and schizophrenia have such a high zIRB, that they are individually sufficient cause for rejecting a donor candidate. A candidate may be rejected because of a combination of lesser defects with E JRB, exceeding an acceptable limit. A limit should also be placed on B., because the affliction burden for Tay‐Sachs disease or cystic fibrosis is intolerable, however infrequent. Most of the important hereditary defects are late onset, and for the older donor the opportunity to select more directly against late‐onset disorders offsets the added risk of newly‐arising gene mutations. The most careful donor selection cannot completely eliminate the risk of a child inheriting some disorder, but selection can reduce the average total burden by as much as 17%.