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首页> 外文期刊>The Journal of Cytology and Genetics >PUBLIC HEALTH IMPACT OF INBREEDING AND GENETIC LOAD IN 35 INBREEDING COMMUNITIES OF KERALA
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PUBLIC HEALTH IMPACT OF INBREEDING AND GENETIC LOAD IN 35 INBREEDING COMMUNITIES OF KERALA

机译:35个侵入性喀拉拉邦侵入种群和遗传负荷对公众健康的影响

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摘要

The public health impact of inbreeding and genetic load are evaluated and estimated from the data of consanguinity-associated mortality effect in 35 communities of Kerala. The impact is evaluated in terms of two measures of association, the relative risk (RR) and attributable risk (AR); the former ranged from 1.423 to 4.701 and the latter from 0.0283 to 0 4776. Eight association types between inbreeding levels and RRs were recognized and the impact was found to be highest in communities of the Low inbreeding-High RR type, and the lowest in the High-High. The impact is much less among the socio-economically underdeveloped communities. The risk of mortality exclusively due to inbreeding (AR) is negligibly low (<5%) in communities with high levels of inbreeding. The strong positive association between inbreeding rates and ARs noticed in great bulk of the communities is suggestive of little role of long-term inbreeding in eliminating deleterious recessive alleles from their gene pool. The genetic loadswere estimated following the MCM model in units of lethal equivalents based on the values of A and B statistics. The As ranged form 0.0023 to 0.2080, the low values predominating in socio-economically more developed communities, which implies that A isan indicator of better public health exposure. The estimates of B ranged from 0.2584 to 9.117. The extent of variation may be due to difference in inbreeding rates coupled with widely different socio-economic levels. A trend of negative association is evident between inbreeding level and B, which is striking in the underdeveloped Scheduled Caste and Tribal groups. The B/A ratio ranged from 5.50 to 720. In communities with higher B/A (>10), the load element could the mutational and in the others segregational. The estimated numbers of lethal equivalents ranged from 0.5-1 to 9-10. Communities displaying very low numbers (0.5-1, 1-2) should be loaded with fewer number of highly lethal recessive genes, and those with higher numbers, with more number of less lethal genes.
机译:从喀拉拉邦35个社区的血缘相关死亡率效应的数据评估和估计了近交对公共卫生的影响。根据两种关联度量来评估影响,即相对风险(RR)和归因风险(AR);前者的范围从1.423到4.701,后者的范围从0.0283到04776。认识到近交水平和RR之间有八种关联类型,并且发现在低近交-高RR类型社区中影响最大,而在低近亲-高RR类型社区中影响最小。高高。在社会经济欠发达的社区中,影响要小得多。在近交程度高的社区中,仅因近交(AR)造成的死亡风险可以忽略不计(5%)。在大部分社区中,近交率与AR之间存在很强的正相关关系,这表明长期近交对消除基因库中的有害隐性等位基因的作用很小。根据MCM模型,基于A和B统计值,以致死当量为单位估算遗传负荷。 As的范围从0.0023到0.2080,这是在社会经济上较发达的社区中较低的值,这意味着A是更好的公共卫生暴露的指标。 B的估计值介于0.2584至9.117之间。变化的程度可能是由于近交率的差异以及社会经济水平差异很大。近亲繁殖水平和B之间存在明显的负相关趋势,这在欠发达的预定种姓和部落群体中尤为明显。 B / A比率在5.50到720之间。在B / A较高(> 10)的社区中,负载元素可能是突变的,而其他元素则是隔离的。估计的致死当量数为0.5-1至9-10。显示极低数量(0.5-1、1-2)的社区应装载较少数量的高致死性隐性基因,而数量较多的社区则应装载更多的致死性较低的基因。

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