Inferring the age difference in HIV transmission pairs by applying phylogenetic methods on the HIV transmission network of the Swiss HIV Cohort Study
Authors: Kusejko Katharina , Kadelka Claus , Marzel Alex , Battegay Manuel , Bernasconi Enos , Calmy Alexandra , Cavassini Matthias , Hoffmann Matthias , Böni Jürg , Yerly Sabine , Klimkait Thomas , Perreau Matthieu , Rauch Andri , Günthard Huldrych F , Kouyos Roger D ,   Swiss HIV Cohort Study, Scherrer Alexandra , Wild Susanne , Perraudin Danièle , Minichiello Mirjam , Anagnostopoulos A , Battegay M , Bernasconi E , Böni J , Braun D L , Bucher H C , Calmy A , Cavassini M , Ciuffi A , Dollenmaier G , Egger M , Elzi L , Fehr J , Fellay J , Furrer H , Fux C A , Günthard H F , Haerry D , Hasse B , Hirsch H H , Hoffmann M , Hösli I , Huber M , Kahlert C , Kaiser L , Keiser O , Klimkait T , Kouyos R D , Kovari H , Ledergerber B , Martinetti G , Martinez de Tejada B , Marzolini C , Metzner K J , Müller N , Nicca D , Paioni P , Pantaleo G , Perreau M , Rauch A , Rudin C , Scherrer A U , Schmid P , Speck R , Stöckle M , Tarr P , Trkola A , Vernazza P , Wandeler G , Weber R , Yerly S Morover 
Published: August 2018

Age-mixing patterns are of key importance for understanding the dynamics of human immunodeficiency virus (HIV)-epidemics and target public health interventions. We use the densely sampled Swiss HIV Cohort Study (SHCS) resistance database to study the age difference at infection in HIV transmission pairs using phylogenetic methods. In addition, we investigate whether the mean age difference of pairs in the phylogenetic tree is influenced by sampling as well as by additional distance thresholds for including pairs. HIV-1 pol-sequences of 11,922 SHCS patients and approximately 240,000 Los Alamos background sequences were used to build a phylogenetic tree. Using this tree, 100 per cent down to 1 per cent of the tips were sampled repeatedly to generate pruned trees (N = 500 for each sample proportion), of which pairs of SHCS patients were extracted. The mean of the absolute age differences of the pairs, measured as the absolute difference of the birth years, was analyzed with respect to this sample proportion and a distance criterion for inclusion of the pairs. In addition, the transmission groups men having sex with men (MSM), intravenous drug users (IDU), and heterosexuals (HET) were analyzed separately. Considering the tree with all 11,922 SHCS patients, 2,991 pairs could be extracted, with 954 (31.9 per cent) MSM-pairs, 635 (21.2 per cent) HET-pairs, 414 (13.8 per cent) IDU-pairs, and 352 (11.8 per cent) HET/IDU-pairs. For all transmission groups, the age difference at infection was significantly (P &lt; 0.001) smaller for pairs in the tree compared with randomly assigned pairs, meaning that patients of similar age are more likely to be pairs. The mean age difference in the phylogenetic analysis, using a fixed distance of 0.05, was 9.2, 9.0, 7.3 and 5.6 years for MSM-, HET-, HET/IDU-, and IDU-pairs, respectively. Decreasing the cophenetic distance threshold from 0.05 to 0.01 significantly decreased the mean age difference. Similarly, repeated sampling of 100 per cent down to 1 per cent of the tips revealed an increased age difference at lower sample proportions. HIV-transmission is age-assortative, but the age difference of transmission pairs detected by phylogenetic analyses depends on both sampling proportion and distance criterion. The mean age difference decreases when using more conservative distance thresholds, implying an underestimation of age-assortativity when using liberal distance criteria. Similarly, overestimation of the mean age difference occurs for pairs from sparsely sampled trees, as it is often the case in sub-Saharan Africa.